Add files using upload-large-folder tool
Browse files- README.md +68 -0
- adapter_config.json +46 -0
- added_tokens.json +24 -0
- chat_template.jinja +5 -0
- checkpoint-20/README.md +210 -0
- checkpoint-20/adapter_config.json +46 -0
- checkpoint-20/added_tokens.json +24 -0
- checkpoint-20/chat_template.jinja +5 -0
- checkpoint-20/merges.txt +0 -0
- checkpoint-20/ref/adapter_config.json +46 -0
- checkpoint-20/special_tokens_map.json +38 -0
- checkpoint-20/tokenizer_config.json +207 -0
- checkpoint-20/trainer_state.json +794 -0
- checkpoint-20/vocab.json +0 -0
- checkpoint-40/README.md +210 -0
- checkpoint-40/adapter_config.json +46 -0
- checkpoint-40/added_tokens.json +24 -0
- checkpoint-40/chat_template.jinja +5 -0
- checkpoint-40/merges.txt +0 -0
- checkpoint-40/special_tokens_map.json +38 -0
- checkpoint-40/tokenizer_config.json +207 -0
- checkpoint-40/trainer_state.json +1554 -0
- checkpoint-40/vocab.json +0 -0
- checkpoint-60/README.md +210 -0
- checkpoint-60/adapter_config.json +46 -0
- checkpoint-60/added_tokens.json +24 -0
- checkpoint-60/chat_template.jinja +5 -0
- checkpoint-60/merges.txt +0 -0
- checkpoint-60/ref/adapter_config.json +46 -0
- checkpoint-60/special_tokens_map.json +38 -0
- checkpoint-60/tokenizer_config.json +207 -0
- checkpoint-60/trainer_state.json +2314 -0
- checkpoint-60/vocab.json +0 -0
- checkpoint-64/README.md +210 -0
- checkpoint-64/adapter_config.json +46 -0
- checkpoint-64/added_tokens.json +24 -0
- checkpoint-64/chat_template.jinja +5 -0
- checkpoint-64/merges.txt +0 -0
- checkpoint-64/ref/adapter_config.json +46 -0
- checkpoint-64/special_tokens_map.json +38 -0
- checkpoint-64/tokenizer_config.json +207 -0
- checkpoint-64/trainer_state.json +0 -0
- checkpoint-64/vocab.json +0 -0
- config.json +66 -0
- debug.log +0 -0
- merges.txt +0 -0
- ref/adapter_config.json +46 -0
- special_tokens_map.json +38 -0
- tokenizer_config.json +207 -0
- vocab.json +0 -0
README.md
ADDED
|
@@ -0,0 +1,68 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: transformers
|
| 3 |
+
model_name: app/checkpoints/1/environment_test
|
| 4 |
+
tags:
|
| 5 |
+
- generated_from_trainer
|
| 6 |
+
- trl
|
| 7 |
+
- grpo
|
| 8 |
+
- axolotl
|
| 9 |
+
licence: license
|
| 10 |
+
---
|
| 11 |
+
|
| 12 |
+
# Model Card for app/checkpoints/1/environment_test
|
| 13 |
+
|
| 14 |
+
This model is a fine-tuned version of [None](https://huggingface.co/None).
|
| 15 |
+
It has been trained using [TRL](https://github.com/huggingface/trl).
|
| 16 |
+
|
| 17 |
+
## Quick start
|
| 18 |
+
|
| 19 |
+
```python
|
| 20 |
+
from transformers import pipeline
|
| 21 |
+
|
| 22 |
+
question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
|
| 23 |
+
generator = pipeline("text-generation", model="None", device="cuda")
|
| 24 |
+
output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
|
| 25 |
+
print(output["generated_text"])
|
| 26 |
+
```
|
| 27 |
+
|
| 28 |
+
## Training procedure
|
| 29 |
+
|
| 30 |
+
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/ductrung27-dt-none/Gradients-Rollout/runs/0vosajol)
|
| 31 |
+
|
| 32 |
+
|
| 33 |
+
This model was trained with GRPO, a method introduced in [DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models](https://huggingface.co/papers/2402.03300).
|
| 34 |
+
|
| 35 |
+
### Framework versions
|
| 36 |
+
|
| 37 |
+
- TRL: 0.27.0.dev0
|
| 38 |
+
- Transformers: 4.57.6
|
| 39 |
+
- Pytorch: 2.9.0
|
| 40 |
+
- Datasets: 4.5.0
|
| 41 |
+
- Tokenizers: 0.22.2
|
| 42 |
+
|
| 43 |
+
## Citations
|
| 44 |
+
|
| 45 |
+
Cite GRPO as:
|
| 46 |
+
|
| 47 |
+
```bibtex
|
| 48 |
+
@article{shao2024deepseekmath,
|
| 49 |
+
title = {{DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models}},
|
| 50 |
+
author = {Zhihong Shao and Peiyi Wang and Qihao Zhu and Runxin Xu and Junxiao Song and Mingchuan Zhang and Y. K. Li and Y. Wu and Daya Guo},
|
| 51 |
+
year = 2024,
|
| 52 |
+
eprint = {arXiv:2402.03300},
|
| 53 |
+
}
|
| 54 |
+
|
| 55 |
+
```
|
| 56 |
+
|
| 57 |
+
Cite TRL as:
|
| 58 |
+
|
| 59 |
+
```bibtex
|
| 60 |
+
@misc{vonwerra2022trl,
|
| 61 |
+
title = {{TRL: Transformer Reinforcement Learning}},
|
| 62 |
+
author = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallou{\'e}dec},
|
| 63 |
+
year = 2020,
|
| 64 |
+
journal = {GitHub repository},
|
| 65 |
+
publisher = {GitHub},
|
| 66 |
+
howpublished = {\url{https://github.com/huggingface/trl}}
|
| 67 |
+
}
|
| 68 |
+
```
|
adapter_config.json
ADDED
|
@@ -0,0 +1,46 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
+
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "/cache/models/Qwen--Qwen2.5-3B-Instruct",
|
| 7 |
+
"bias": "none",
|
| 8 |
+
"corda_config": null,
|
| 9 |
+
"ensure_weight_tying": false,
|
| 10 |
+
"eva_config": null,
|
| 11 |
+
"exclude_modules": null,
|
| 12 |
+
"fan_in_fan_out": null,
|
| 13 |
+
"inference_mode": true,
|
| 14 |
+
"init_lora_weights": true,
|
| 15 |
+
"layer_replication": null,
|
| 16 |
+
"layers_pattern": null,
|
| 17 |
+
"layers_to_transform": null,
|
| 18 |
+
"loftq_config": {},
|
| 19 |
+
"lora_alpha": 32,
|
| 20 |
+
"lora_bias": false,
|
| 21 |
+
"lora_dropout": 0.0,
|
| 22 |
+
"megatron_config": null,
|
| 23 |
+
"megatron_core": "megatron.core",
|
| 24 |
+
"modules_to_save": null,
|
| 25 |
+
"peft_type": "LORA",
|
| 26 |
+
"peft_version": "0.18.1",
|
| 27 |
+
"qalora_group_size": 16,
|
| 28 |
+
"r": 16,
|
| 29 |
+
"rank_pattern": {},
|
| 30 |
+
"revision": null,
|
| 31 |
+
"target_modules": [
|
| 32 |
+
"q_proj",
|
| 33 |
+
"v_proj",
|
| 34 |
+
"k_proj",
|
| 35 |
+
"down_proj",
|
| 36 |
+
"o_proj",
|
| 37 |
+
"gate_proj",
|
| 38 |
+
"up_proj"
|
| 39 |
+
],
|
| 40 |
+
"target_parameters": [],
|
| 41 |
+
"task_type": "CAUSAL_LM",
|
| 42 |
+
"trainable_token_indices": null,
|
| 43 |
+
"use_dora": false,
|
| 44 |
+
"use_qalora": false,
|
| 45 |
+
"use_rslora": false
|
| 46 |
+
}
|
added_tokens.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"</tool_call>": 151658,
|
| 3 |
+
"<tool_call>": 151657,
|
| 4 |
+
"<|box_end|>": 151649,
|
| 5 |
+
"<|box_start|>": 151648,
|
| 6 |
+
"<|endoftext|>": 151643,
|
| 7 |
+
"<|file_sep|>": 151664,
|
| 8 |
+
"<|fim_middle|>": 151660,
|
| 9 |
+
"<|fim_pad|>": 151662,
|
| 10 |
+
"<|fim_prefix|>": 151659,
|
| 11 |
+
"<|fim_suffix|>": 151661,
|
| 12 |
+
"<|im_end|>": 151645,
|
| 13 |
+
"<|im_start|>": 151644,
|
| 14 |
+
"<|image_pad|>": 151655,
|
| 15 |
+
"<|object_ref_end|>": 151647,
|
| 16 |
+
"<|object_ref_start|>": 151646,
|
| 17 |
+
"<|quad_end|>": 151651,
|
| 18 |
+
"<|quad_start|>": 151650,
|
| 19 |
+
"<|repo_name|>": 151663,
|
| 20 |
+
"<|video_pad|>": 151656,
|
| 21 |
+
"<|vision_end|>": 151653,
|
| 22 |
+
"<|vision_pad|>": 151654,
|
| 23 |
+
"<|vision_start|>": 151652
|
| 24 |
+
}
|
chat_template.jinja
ADDED
|
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>
|
| 2 |
+
|
| 3 |
+
'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>
|
| 4 |
+
|
| 5 |
+
' }}{% endif %}
|
checkpoint-20/README.md
ADDED
|
@@ -0,0 +1,210 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: /cache/models/Qwen--Qwen2.5-3B-Instruct
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- axolotl
|
| 7 |
+
- base_model:adapter:/cache/models/Qwen--Qwen2.5-3B-Instruct
|
| 8 |
+
- grpo
|
| 9 |
+
- lora
|
| 10 |
+
- transformers
|
| 11 |
+
- trl
|
| 12 |
+
---
|
| 13 |
+
|
| 14 |
+
# Model Card for Model ID
|
| 15 |
+
|
| 16 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
## Model Details
|
| 21 |
+
|
| 22 |
+
### Model Description
|
| 23 |
+
|
| 24 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 25 |
+
|
| 26 |
+
|
| 27 |
+
|
| 28 |
+
- **Developed by:** [More Information Needed]
|
| 29 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 30 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 31 |
+
- **Model type:** [More Information Needed]
|
| 32 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 33 |
+
- **License:** [More Information Needed]
|
| 34 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
### Model Sources [optional]
|
| 37 |
+
|
| 38 |
+
<!-- Provide the basic links for the model. -->
|
| 39 |
+
|
| 40 |
+
- **Repository:** [More Information Needed]
|
| 41 |
+
- **Paper [optional]:** [More Information Needed]
|
| 42 |
+
- **Demo [optional]:** [More Information Needed]
|
| 43 |
+
|
| 44 |
+
## Uses
|
| 45 |
+
|
| 46 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 47 |
+
|
| 48 |
+
### Direct Use
|
| 49 |
+
|
| 50 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 51 |
+
|
| 52 |
+
[More Information Needed]
|
| 53 |
+
|
| 54 |
+
### Downstream Use [optional]
|
| 55 |
+
|
| 56 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 57 |
+
|
| 58 |
+
[More Information Needed]
|
| 59 |
+
|
| 60 |
+
### Out-of-Scope Use
|
| 61 |
+
|
| 62 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 63 |
+
|
| 64 |
+
[More Information Needed]
|
| 65 |
+
|
| 66 |
+
## Bias, Risks, and Limitations
|
| 67 |
+
|
| 68 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 69 |
+
|
| 70 |
+
[More Information Needed]
|
| 71 |
+
|
| 72 |
+
### Recommendations
|
| 73 |
+
|
| 74 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 75 |
+
|
| 76 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 77 |
+
|
| 78 |
+
## How to Get Started with the Model
|
| 79 |
+
|
| 80 |
+
Use the code below to get started with the model.
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
## Training Details
|
| 85 |
+
|
| 86 |
+
### Training Data
|
| 87 |
+
|
| 88 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
### Training Procedure
|
| 93 |
+
|
| 94 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 95 |
+
|
| 96 |
+
#### Preprocessing [optional]
|
| 97 |
+
|
| 98 |
+
[More Information Needed]
|
| 99 |
+
|
| 100 |
+
|
| 101 |
+
#### Training Hyperparameters
|
| 102 |
+
|
| 103 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 104 |
+
|
| 105 |
+
#### Speeds, Sizes, Times [optional]
|
| 106 |
+
|
| 107 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 108 |
+
|
| 109 |
+
[More Information Needed]
|
| 110 |
+
|
| 111 |
+
## Evaluation
|
| 112 |
+
|
| 113 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 114 |
+
|
| 115 |
+
### Testing Data, Factors & Metrics
|
| 116 |
+
|
| 117 |
+
#### Testing Data
|
| 118 |
+
|
| 119 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 120 |
+
|
| 121 |
+
[More Information Needed]
|
| 122 |
+
|
| 123 |
+
#### Factors
|
| 124 |
+
|
| 125 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 126 |
+
|
| 127 |
+
[More Information Needed]
|
| 128 |
+
|
| 129 |
+
#### Metrics
|
| 130 |
+
|
| 131 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 132 |
+
|
| 133 |
+
[More Information Needed]
|
| 134 |
+
|
| 135 |
+
### Results
|
| 136 |
+
|
| 137 |
+
[More Information Needed]
|
| 138 |
+
|
| 139 |
+
#### Summary
|
| 140 |
+
|
| 141 |
+
|
| 142 |
+
|
| 143 |
+
## Model Examination [optional]
|
| 144 |
+
|
| 145 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 146 |
+
|
| 147 |
+
[More Information Needed]
|
| 148 |
+
|
| 149 |
+
## Environmental Impact
|
| 150 |
+
|
| 151 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 152 |
+
|
| 153 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 154 |
+
|
| 155 |
+
- **Hardware Type:** [More Information Needed]
|
| 156 |
+
- **Hours used:** [More Information Needed]
|
| 157 |
+
- **Cloud Provider:** [More Information Needed]
|
| 158 |
+
- **Compute Region:** [More Information Needed]
|
| 159 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 160 |
+
|
| 161 |
+
## Technical Specifications [optional]
|
| 162 |
+
|
| 163 |
+
### Model Architecture and Objective
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
### Compute Infrastructure
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
#### Hardware
|
| 172 |
+
|
| 173 |
+
[More Information Needed]
|
| 174 |
+
|
| 175 |
+
#### Software
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
## Citation [optional]
|
| 180 |
+
|
| 181 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 182 |
+
|
| 183 |
+
**BibTeX:**
|
| 184 |
+
|
| 185 |
+
[More Information Needed]
|
| 186 |
+
|
| 187 |
+
**APA:**
|
| 188 |
+
|
| 189 |
+
[More Information Needed]
|
| 190 |
+
|
| 191 |
+
## Glossary [optional]
|
| 192 |
+
|
| 193 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## More Information [optional]
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
|
| 201 |
+
## Model Card Authors [optional]
|
| 202 |
+
|
| 203 |
+
[More Information Needed]
|
| 204 |
+
|
| 205 |
+
## Model Card Contact
|
| 206 |
+
|
| 207 |
+
[More Information Needed]
|
| 208 |
+
### Framework versions
|
| 209 |
+
|
| 210 |
+
- PEFT 0.18.1
|
checkpoint-20/adapter_config.json
ADDED
|
@@ -0,0 +1,46 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
+
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "/cache/models/Qwen--Qwen2.5-3B-Instruct",
|
| 7 |
+
"bias": "none",
|
| 8 |
+
"corda_config": null,
|
| 9 |
+
"ensure_weight_tying": false,
|
| 10 |
+
"eva_config": null,
|
| 11 |
+
"exclude_modules": null,
|
| 12 |
+
"fan_in_fan_out": null,
|
| 13 |
+
"inference_mode": true,
|
| 14 |
+
"init_lora_weights": true,
|
| 15 |
+
"layer_replication": null,
|
| 16 |
+
"layers_pattern": null,
|
| 17 |
+
"layers_to_transform": null,
|
| 18 |
+
"loftq_config": {},
|
| 19 |
+
"lora_alpha": 32,
|
| 20 |
+
"lora_bias": false,
|
| 21 |
+
"lora_dropout": 0.0,
|
| 22 |
+
"megatron_config": null,
|
| 23 |
+
"megatron_core": "megatron.core",
|
| 24 |
+
"modules_to_save": null,
|
| 25 |
+
"peft_type": "LORA",
|
| 26 |
+
"peft_version": "0.18.1",
|
| 27 |
+
"qalora_group_size": 16,
|
| 28 |
+
"r": 16,
|
| 29 |
+
"rank_pattern": {},
|
| 30 |
+
"revision": null,
|
| 31 |
+
"target_modules": [
|
| 32 |
+
"q_proj",
|
| 33 |
+
"v_proj",
|
| 34 |
+
"k_proj",
|
| 35 |
+
"down_proj",
|
| 36 |
+
"o_proj",
|
| 37 |
+
"gate_proj",
|
| 38 |
+
"up_proj"
|
| 39 |
+
],
|
| 40 |
+
"target_parameters": [],
|
| 41 |
+
"task_type": "CAUSAL_LM",
|
| 42 |
+
"trainable_token_indices": null,
|
| 43 |
+
"use_dora": false,
|
| 44 |
+
"use_qalora": false,
|
| 45 |
+
"use_rslora": false
|
| 46 |
+
}
|
checkpoint-20/added_tokens.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"</tool_call>": 151658,
|
| 3 |
+
"<tool_call>": 151657,
|
| 4 |
+
"<|box_end|>": 151649,
|
| 5 |
+
"<|box_start|>": 151648,
|
| 6 |
+
"<|endoftext|>": 151643,
|
| 7 |
+
"<|file_sep|>": 151664,
|
| 8 |
+
"<|fim_middle|>": 151660,
|
| 9 |
+
"<|fim_pad|>": 151662,
|
| 10 |
+
"<|fim_prefix|>": 151659,
|
| 11 |
+
"<|fim_suffix|>": 151661,
|
| 12 |
+
"<|im_end|>": 151645,
|
| 13 |
+
"<|im_start|>": 151644,
|
| 14 |
+
"<|image_pad|>": 151655,
|
| 15 |
+
"<|object_ref_end|>": 151647,
|
| 16 |
+
"<|object_ref_start|>": 151646,
|
| 17 |
+
"<|quad_end|>": 151651,
|
| 18 |
+
"<|quad_start|>": 151650,
|
| 19 |
+
"<|repo_name|>": 151663,
|
| 20 |
+
"<|video_pad|>": 151656,
|
| 21 |
+
"<|vision_end|>": 151653,
|
| 22 |
+
"<|vision_pad|>": 151654,
|
| 23 |
+
"<|vision_start|>": 151652
|
| 24 |
+
}
|
checkpoint-20/chat_template.jinja
ADDED
|
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>
|
| 2 |
+
|
| 3 |
+
'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>
|
| 4 |
+
|
| 5 |
+
' }}{% endif %}
|
checkpoint-20/merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-20/ref/adapter_config.json
ADDED
|
@@ -0,0 +1,46 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
+
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "/cache/models/Qwen--Qwen2.5-3B-Instruct",
|
| 7 |
+
"bias": "none",
|
| 8 |
+
"corda_config": null,
|
| 9 |
+
"ensure_weight_tying": false,
|
| 10 |
+
"eva_config": null,
|
| 11 |
+
"exclude_modules": null,
|
| 12 |
+
"fan_in_fan_out": null,
|
| 13 |
+
"inference_mode": true,
|
| 14 |
+
"init_lora_weights": true,
|
| 15 |
+
"layer_replication": null,
|
| 16 |
+
"layers_pattern": null,
|
| 17 |
+
"layers_to_transform": null,
|
| 18 |
+
"loftq_config": {},
|
| 19 |
+
"lora_alpha": 32,
|
| 20 |
+
"lora_bias": false,
|
| 21 |
+
"lora_dropout": 0.0,
|
| 22 |
+
"megatron_config": null,
|
| 23 |
+
"megatron_core": "megatron.core",
|
| 24 |
+
"modules_to_save": null,
|
| 25 |
+
"peft_type": "LORA",
|
| 26 |
+
"peft_version": "0.18.1",
|
| 27 |
+
"qalora_group_size": 16,
|
| 28 |
+
"r": 16,
|
| 29 |
+
"rank_pattern": {},
|
| 30 |
+
"revision": null,
|
| 31 |
+
"target_modules": [
|
| 32 |
+
"q_proj",
|
| 33 |
+
"v_proj",
|
| 34 |
+
"k_proj",
|
| 35 |
+
"down_proj",
|
| 36 |
+
"o_proj",
|
| 37 |
+
"gate_proj",
|
| 38 |
+
"up_proj"
|
| 39 |
+
],
|
| 40 |
+
"target_parameters": [],
|
| 41 |
+
"task_type": "CAUSAL_LM",
|
| 42 |
+
"trainable_token_indices": null,
|
| 43 |
+
"use_dora": false,
|
| 44 |
+
"use_qalora": false,
|
| 45 |
+
"use_rslora": false
|
| 46 |
+
}
|
checkpoint-20/special_tokens_map.json
ADDED
|
@@ -0,0 +1,38 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<|im_start|>",
|
| 4 |
+
"<|im_end|>",
|
| 5 |
+
"<|object_ref_start|>",
|
| 6 |
+
"<|object_ref_end|>",
|
| 7 |
+
"<|box_start|>",
|
| 8 |
+
"<|box_end|>",
|
| 9 |
+
"<|quad_start|>",
|
| 10 |
+
"<|quad_end|>",
|
| 11 |
+
"<|vision_start|>",
|
| 12 |
+
"<|vision_end|>",
|
| 13 |
+
"<|vision_pad|>",
|
| 14 |
+
"<|image_pad|>",
|
| 15 |
+
"<|video_pad|>"
|
| 16 |
+
],
|
| 17 |
+
"bos_token": {
|
| 18 |
+
"content": "<|im_end|>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
},
|
| 24 |
+
"eos_token": {
|
| 25 |
+
"content": "<|im_end|>",
|
| 26 |
+
"lstrip": false,
|
| 27 |
+
"normalized": false,
|
| 28 |
+
"rstrip": false,
|
| 29 |
+
"single_word": false
|
| 30 |
+
},
|
| 31 |
+
"pad_token": {
|
| 32 |
+
"content": "<|endoftext|>",
|
| 33 |
+
"lstrip": false,
|
| 34 |
+
"normalized": false,
|
| 35 |
+
"rstrip": false,
|
| 36 |
+
"single_word": false
|
| 37 |
+
}
|
| 38 |
+
}
|
checkpoint-20/tokenizer_config.json
ADDED
|
@@ -0,0 +1,207 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": false,
|
| 3 |
+
"add_prefix_space": false,
|
| 4 |
+
"added_tokens_decoder": {
|
| 5 |
+
"151643": {
|
| 6 |
+
"content": "<|endoftext|>",
|
| 7 |
+
"lstrip": false,
|
| 8 |
+
"normalized": false,
|
| 9 |
+
"rstrip": false,
|
| 10 |
+
"single_word": false,
|
| 11 |
+
"special": true
|
| 12 |
+
},
|
| 13 |
+
"151644": {
|
| 14 |
+
"content": "<|im_start|>",
|
| 15 |
+
"lstrip": false,
|
| 16 |
+
"normalized": false,
|
| 17 |
+
"rstrip": false,
|
| 18 |
+
"single_word": false,
|
| 19 |
+
"special": true
|
| 20 |
+
},
|
| 21 |
+
"151645": {
|
| 22 |
+
"content": "<|im_end|>",
|
| 23 |
+
"lstrip": false,
|
| 24 |
+
"normalized": false,
|
| 25 |
+
"rstrip": false,
|
| 26 |
+
"single_word": false,
|
| 27 |
+
"special": true
|
| 28 |
+
},
|
| 29 |
+
"151646": {
|
| 30 |
+
"content": "<|object_ref_start|>",
|
| 31 |
+
"lstrip": false,
|
| 32 |
+
"normalized": false,
|
| 33 |
+
"rstrip": false,
|
| 34 |
+
"single_word": false,
|
| 35 |
+
"special": true
|
| 36 |
+
},
|
| 37 |
+
"151647": {
|
| 38 |
+
"content": "<|object_ref_end|>",
|
| 39 |
+
"lstrip": false,
|
| 40 |
+
"normalized": false,
|
| 41 |
+
"rstrip": false,
|
| 42 |
+
"single_word": false,
|
| 43 |
+
"special": true
|
| 44 |
+
},
|
| 45 |
+
"151648": {
|
| 46 |
+
"content": "<|box_start|>",
|
| 47 |
+
"lstrip": false,
|
| 48 |
+
"normalized": false,
|
| 49 |
+
"rstrip": false,
|
| 50 |
+
"single_word": false,
|
| 51 |
+
"special": true
|
| 52 |
+
},
|
| 53 |
+
"151649": {
|
| 54 |
+
"content": "<|box_end|>",
|
| 55 |
+
"lstrip": false,
|
| 56 |
+
"normalized": false,
|
| 57 |
+
"rstrip": false,
|
| 58 |
+
"single_word": false,
|
| 59 |
+
"special": true
|
| 60 |
+
},
|
| 61 |
+
"151650": {
|
| 62 |
+
"content": "<|quad_start|>",
|
| 63 |
+
"lstrip": false,
|
| 64 |
+
"normalized": false,
|
| 65 |
+
"rstrip": false,
|
| 66 |
+
"single_word": false,
|
| 67 |
+
"special": true
|
| 68 |
+
},
|
| 69 |
+
"151651": {
|
| 70 |
+
"content": "<|quad_end|>",
|
| 71 |
+
"lstrip": false,
|
| 72 |
+
"normalized": false,
|
| 73 |
+
"rstrip": false,
|
| 74 |
+
"single_word": false,
|
| 75 |
+
"special": true
|
| 76 |
+
},
|
| 77 |
+
"151652": {
|
| 78 |
+
"content": "<|vision_start|>",
|
| 79 |
+
"lstrip": false,
|
| 80 |
+
"normalized": false,
|
| 81 |
+
"rstrip": false,
|
| 82 |
+
"single_word": false,
|
| 83 |
+
"special": true
|
| 84 |
+
},
|
| 85 |
+
"151653": {
|
| 86 |
+
"content": "<|vision_end|>",
|
| 87 |
+
"lstrip": false,
|
| 88 |
+
"normalized": false,
|
| 89 |
+
"rstrip": false,
|
| 90 |
+
"single_word": false,
|
| 91 |
+
"special": true
|
| 92 |
+
},
|
| 93 |
+
"151654": {
|
| 94 |
+
"content": "<|vision_pad|>",
|
| 95 |
+
"lstrip": false,
|
| 96 |
+
"normalized": false,
|
| 97 |
+
"rstrip": false,
|
| 98 |
+
"single_word": false,
|
| 99 |
+
"special": true
|
| 100 |
+
},
|
| 101 |
+
"151655": {
|
| 102 |
+
"content": "<|image_pad|>",
|
| 103 |
+
"lstrip": false,
|
| 104 |
+
"normalized": false,
|
| 105 |
+
"rstrip": false,
|
| 106 |
+
"single_word": false,
|
| 107 |
+
"special": true
|
| 108 |
+
},
|
| 109 |
+
"151656": {
|
| 110 |
+
"content": "<|video_pad|>",
|
| 111 |
+
"lstrip": false,
|
| 112 |
+
"normalized": false,
|
| 113 |
+
"rstrip": false,
|
| 114 |
+
"single_word": false,
|
| 115 |
+
"special": true
|
| 116 |
+
},
|
| 117 |
+
"151657": {
|
| 118 |
+
"content": "<tool_call>",
|
| 119 |
+
"lstrip": false,
|
| 120 |
+
"normalized": false,
|
| 121 |
+
"rstrip": false,
|
| 122 |
+
"single_word": false,
|
| 123 |
+
"special": false
|
| 124 |
+
},
|
| 125 |
+
"151658": {
|
| 126 |
+
"content": "</tool_call>",
|
| 127 |
+
"lstrip": false,
|
| 128 |
+
"normalized": false,
|
| 129 |
+
"rstrip": false,
|
| 130 |
+
"single_word": false,
|
| 131 |
+
"special": false
|
| 132 |
+
},
|
| 133 |
+
"151659": {
|
| 134 |
+
"content": "<|fim_prefix|>",
|
| 135 |
+
"lstrip": false,
|
| 136 |
+
"normalized": false,
|
| 137 |
+
"rstrip": false,
|
| 138 |
+
"single_word": false,
|
| 139 |
+
"special": false
|
| 140 |
+
},
|
| 141 |
+
"151660": {
|
| 142 |
+
"content": "<|fim_middle|>",
|
| 143 |
+
"lstrip": false,
|
| 144 |
+
"normalized": false,
|
| 145 |
+
"rstrip": false,
|
| 146 |
+
"single_word": false,
|
| 147 |
+
"special": false
|
| 148 |
+
},
|
| 149 |
+
"151661": {
|
| 150 |
+
"content": "<|fim_suffix|>",
|
| 151 |
+
"lstrip": false,
|
| 152 |
+
"normalized": false,
|
| 153 |
+
"rstrip": false,
|
| 154 |
+
"single_word": false,
|
| 155 |
+
"special": false
|
| 156 |
+
},
|
| 157 |
+
"151662": {
|
| 158 |
+
"content": "<|fim_pad|>",
|
| 159 |
+
"lstrip": false,
|
| 160 |
+
"normalized": false,
|
| 161 |
+
"rstrip": false,
|
| 162 |
+
"single_word": false,
|
| 163 |
+
"special": false
|
| 164 |
+
},
|
| 165 |
+
"151663": {
|
| 166 |
+
"content": "<|repo_name|>",
|
| 167 |
+
"lstrip": false,
|
| 168 |
+
"normalized": false,
|
| 169 |
+
"rstrip": false,
|
| 170 |
+
"single_word": false,
|
| 171 |
+
"special": false
|
| 172 |
+
},
|
| 173 |
+
"151664": {
|
| 174 |
+
"content": "<|file_sep|>",
|
| 175 |
+
"lstrip": false,
|
| 176 |
+
"normalized": false,
|
| 177 |
+
"rstrip": false,
|
| 178 |
+
"single_word": false,
|
| 179 |
+
"special": false
|
| 180 |
+
}
|
| 181 |
+
},
|
| 182 |
+
"additional_special_tokens": [
|
| 183 |
+
"<|im_start|>",
|
| 184 |
+
"<|im_end|>",
|
| 185 |
+
"<|object_ref_start|>",
|
| 186 |
+
"<|object_ref_end|>",
|
| 187 |
+
"<|box_start|>",
|
| 188 |
+
"<|box_end|>",
|
| 189 |
+
"<|quad_start|>",
|
| 190 |
+
"<|quad_end|>",
|
| 191 |
+
"<|vision_start|>",
|
| 192 |
+
"<|vision_end|>",
|
| 193 |
+
"<|vision_pad|>",
|
| 194 |
+
"<|image_pad|>",
|
| 195 |
+
"<|video_pad|>"
|
| 196 |
+
],
|
| 197 |
+
"bos_token": "<|im_end|>",
|
| 198 |
+
"clean_up_tokenization_spaces": false,
|
| 199 |
+
"eos_token": "<|im_end|>",
|
| 200 |
+
"errors": "replace",
|
| 201 |
+
"extra_special_tokens": {},
|
| 202 |
+
"model_max_length": 131072,
|
| 203 |
+
"pad_token": "<|endoftext|>",
|
| 204 |
+
"split_special_tokens": false,
|
| 205 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 206 |
+
"unk_token": null
|
| 207 |
+
}
|
checkpoint-20/trainer_state.json
ADDED
|
@@ -0,0 +1,794 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 0.16,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 20,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"clip_ratio/high_max": 0.0,
|
| 14 |
+
"clip_ratio/high_mean": 0.0,
|
| 15 |
+
"clip_ratio/low_mean": 0.0,
|
| 16 |
+
"clip_ratio/low_min": 0.0,
|
| 17 |
+
"clip_ratio/region_mean": 0.0,
|
| 18 |
+
"completions/clipped_ratio": 0.6875,
|
| 19 |
+
"completions/max_length": 1707.0,
|
| 20 |
+
"completions/max_terminated_length": 915.0,
|
| 21 |
+
"completions/mean_length": 812.703125,
|
| 22 |
+
"completions/mean_terminated_length": 386.1499938964844,
|
| 23 |
+
"completions/min_length": 88.0,
|
| 24 |
+
"completions/min_terminated_length": 88.0,
|
| 25 |
+
"entropy": 0.319809939712286,
|
| 26 |
+
"epoch": 0.008,
|
| 27 |
+
"frac_reward_zero_std": 0.0,
|
| 28 |
+
"grad_norm": 0.013934657908976078,
|
| 29 |
+
"kl": 0.0,
|
| 30 |
+
"learning_rate": 0.0,
|
| 31 |
+
"loss": 0.0003,
|
| 32 |
+
"num_tokens": 52013.0,
|
| 33 |
+
"reward": 0.26906251907348633,
|
| 34 |
+
"reward_std": 0.43214160203933716,
|
| 35 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.26906251907348633,
|
| 36 |
+
"rewards/alfworld_rollout_reward_func/std": 0.48894354701042175,
|
| 37 |
+
"rollout/action_tokens_mean": 812.703125,
|
| 38 |
+
"rollout/episode_turns_mean": 25.0625,
|
| 39 |
+
"rollout/mismatch_mean": 0.015625,
|
| 40 |
+
"rollout/mismatch_ratio": 0.015625,
|
| 41 |
+
"rollout/truncated_ratio": 0.6875,
|
| 42 |
+
"sampling/importance_sampling_ratio/max": 2.401656150817871,
|
| 43 |
+
"sampling/importance_sampling_ratio/mean": 0.5413336753845215,
|
| 44 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 45 |
+
"sampling/sampling_logp_difference/max": 2.9913136959075928,
|
| 46 |
+
"sampling/sampling_logp_difference/mean": 0.020846465602517128,
|
| 47 |
+
"step": 1,
|
| 48 |
+
"step_time": 340.2447626780008
|
| 49 |
+
},
|
| 50 |
+
{
|
| 51 |
+
"clip_ratio/high_max": 0.0,
|
| 52 |
+
"clip_ratio/high_mean": 0.0,
|
| 53 |
+
"clip_ratio/low_mean": 0.0,
|
| 54 |
+
"clip_ratio/low_min": 0.0,
|
| 55 |
+
"clip_ratio/region_mean": 0.0,
|
| 56 |
+
"completions/clipped_ratio": 0.765625,
|
| 57 |
+
"completions/max_length": 1338.0,
|
| 58 |
+
"completions/max_terminated_length": 912.0,
|
| 59 |
+
"completions/mean_length": 822.90625,
|
| 60 |
+
"completions/mean_terminated_length": 481.0000305175781,
|
| 61 |
+
"completions/min_length": 240.0,
|
| 62 |
+
"completions/min_terminated_length": 240.0,
|
| 63 |
+
"entropy": 0.33951753890141845,
|
| 64 |
+
"epoch": 0.016,
|
| 65 |
+
"frac_reward_zero_std": 0.0,
|
| 66 |
+
"grad_norm": 0.005984712392091751,
|
| 67 |
+
"kl": 0.0,
|
| 68 |
+
"learning_rate": 2.5e-06,
|
| 69 |
+
"loss": 0.0064,
|
| 70 |
+
"num_tokens": 104679.0,
|
| 71 |
+
"reward": 0.1837500035762787,
|
| 72 |
+
"reward_std": 0.37211528420448303,
|
| 73 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.1837500035762787,
|
| 74 |
+
"rewards/alfworld_rollout_reward_func/std": 0.44909608364105225,
|
| 75 |
+
"rollout/action_tokens_mean": 822.90625,
|
| 76 |
+
"rollout/episode_turns_mean": 26.75,
|
| 77 |
+
"rollout/mismatch_mean": 0.0,
|
| 78 |
+
"rollout/mismatch_ratio": 0.0,
|
| 79 |
+
"rollout/truncated_ratio": 0.765625,
|
| 80 |
+
"sampling/importance_sampling_ratio/max": 2.0904664993286133,
|
| 81 |
+
"sampling/importance_sampling_ratio/mean": 0.30532318353652954,
|
| 82 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 83 |
+
"sampling/sampling_logp_difference/max": 2.2203328609466553,
|
| 84 |
+
"sampling/sampling_logp_difference/mean": 0.021448608487844467,
|
| 85 |
+
"step": 2,
|
| 86 |
+
"step_time": 376.3160819019986
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"clip_ratio/high_max": 0.0,
|
| 90 |
+
"clip_ratio/high_mean": 0.0,
|
| 91 |
+
"clip_ratio/low_mean": 0.0,
|
| 92 |
+
"clip_ratio/low_min": 0.0,
|
| 93 |
+
"clip_ratio/region_mean": 0.0,
|
| 94 |
+
"completions/clipped_ratio": 0.75,
|
| 95 |
+
"completions/max_length": 1253.0,
|
| 96 |
+
"completions/max_terminated_length": 680.0,
|
| 97 |
+
"completions/mean_length": 735.65625,
|
| 98 |
+
"completions/mean_terminated_length": 380.5,
|
| 99 |
+
"completions/min_length": 145.0,
|
| 100 |
+
"completions/min_terminated_length": 145.0,
|
| 101 |
+
"entropy": 0.32836992759257555,
|
| 102 |
+
"epoch": 0.024,
|
| 103 |
+
"frac_reward_zero_std": 0.0,
|
| 104 |
+
"grad_norm": 0.0066122072748839855,
|
| 105 |
+
"kl": 0.001546632844110718,
|
| 106 |
+
"learning_rate": 5e-06,
|
| 107 |
+
"loss": 0.0026,
|
| 108 |
+
"num_tokens": 151761.0,
|
| 109 |
+
"reward": 0.21156249940395355,
|
| 110 |
+
"reward_std": 0.2755644917488098,
|
| 111 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.21156249940395355,
|
| 112 |
+
"rewards/alfworld_rollout_reward_func/std": 0.44746631383895874,
|
| 113 |
+
"rollout/action_tokens_mean": 735.65625,
|
| 114 |
+
"rollout/episode_turns_mean": 26.03125,
|
| 115 |
+
"rollout/mismatch_mean": 0.0,
|
| 116 |
+
"rollout/mismatch_ratio": 0.0,
|
| 117 |
+
"rollout/truncated_ratio": 0.75,
|
| 118 |
+
"sampling/importance_sampling_ratio/max": 2.4706838130950928,
|
| 119 |
+
"sampling/importance_sampling_ratio/mean": 0.5484369993209839,
|
| 120 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 121 |
+
"sampling/sampling_logp_difference/max": 1.5531697273254395,
|
| 122 |
+
"sampling/sampling_logp_difference/mean": 0.020412152633070946,
|
| 123 |
+
"step": 3,
|
| 124 |
+
"step_time": 359.0840177950013
|
| 125 |
+
},
|
| 126 |
+
{
|
| 127 |
+
"clip_ratio/high_max": 0.0,
|
| 128 |
+
"clip_ratio/high_mean": 0.0,
|
| 129 |
+
"clip_ratio/low_mean": 0.0,
|
| 130 |
+
"clip_ratio/low_min": 0.0,
|
| 131 |
+
"clip_ratio/region_mean": 0.0,
|
| 132 |
+
"completions/clipped_ratio": 0.546875,
|
| 133 |
+
"completions/max_length": 1880.0,
|
| 134 |
+
"completions/max_terminated_length": 807.0,
|
| 135 |
+
"completions/mean_length": 721.78125,
|
| 136 |
+
"completions/mean_terminated_length": 425.72412109375,
|
| 137 |
+
"completions/min_length": 112.0,
|
| 138 |
+
"completions/min_terminated_length": 112.0,
|
| 139 |
+
"entropy": 0.3564013452269137,
|
| 140 |
+
"epoch": 0.032,
|
| 141 |
+
"frac_reward_zero_std": 0.0,
|
| 142 |
+
"grad_norm": 0.00901270005851984,
|
| 143 |
+
"kl": 0.001597001251866459,
|
| 144 |
+
"learning_rate": 4.996791267927632e-06,
|
| 145 |
+
"loss": 0.0123,
|
| 146 |
+
"num_tokens": 197955.0,
|
| 147 |
+
"reward": 0.40953126549720764,
|
| 148 |
+
"reward_std": 0.48288512229919434,
|
| 149 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.40953126549720764,
|
| 150 |
+
"rewards/alfworld_rollout_reward_func/std": 0.5298889875411987,
|
| 151 |
+
"rollout/action_tokens_mean": 721.78125,
|
| 152 |
+
"rollout/episode_turns_mean": 22.859375,
|
| 153 |
+
"rollout/mismatch_mean": 0.015625,
|
| 154 |
+
"rollout/mismatch_ratio": 0.015625,
|
| 155 |
+
"rollout/truncated_ratio": 0.546875,
|
| 156 |
+
"sampling/importance_sampling_ratio/max": 2.607266664505005,
|
| 157 |
+
"sampling/importance_sampling_ratio/mean": 0.5041748881340027,
|
| 158 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 159 |
+
"sampling/sampling_logp_difference/max": 3.2973906993865967,
|
| 160 |
+
"sampling/sampling_logp_difference/mean": 0.022099550813436508,
|
| 161 |
+
"step": 4,
|
| 162 |
+
"step_time": 324.93751245399835
|
| 163 |
+
},
|
| 164 |
+
{
|
| 165 |
+
"clip_ratio/high_max": 0.0,
|
| 166 |
+
"clip_ratio/high_mean": 0.0,
|
| 167 |
+
"clip_ratio/low_mean": 0.0,
|
| 168 |
+
"clip_ratio/low_min": 0.0,
|
| 169 |
+
"clip_ratio/region_mean": 0.0,
|
| 170 |
+
"completions/clipped_ratio": 0.6875,
|
| 171 |
+
"completions/max_length": 1772.0,
|
| 172 |
+
"completions/max_terminated_length": 1135.0,
|
| 173 |
+
"completions/mean_length": 823.984375,
|
| 174 |
+
"completions/mean_terminated_length": 511.25,
|
| 175 |
+
"completions/min_length": 238.0,
|
| 176 |
+
"completions/min_terminated_length": 238.0,
|
| 177 |
+
"entropy": 0.37002173252403736,
|
| 178 |
+
"epoch": 0.04,
|
| 179 |
+
"frac_reward_zero_std": 0.0,
|
| 180 |
+
"grad_norm": 0.006255371496081352,
|
| 181 |
+
"kl": 0.0018659899324120488,
|
| 182 |
+
"learning_rate": 4.987173308479738e-06,
|
| 183 |
+
"loss": -0.0049,
|
| 184 |
+
"num_tokens": 250690.0,
|
| 185 |
+
"reward": 0.2629687488079071,
|
| 186 |
+
"reward_std": 0.3148724138736725,
|
| 187 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.2629687786102295,
|
| 188 |
+
"rewards/alfworld_rollout_reward_func/std": 0.48142871260643005,
|
| 189 |
+
"rollout/action_tokens_mean": 823.984375,
|
| 190 |
+
"rollout/episode_turns_mean": 25.65625,
|
| 191 |
+
"rollout/mismatch_mean": 0.0,
|
| 192 |
+
"rollout/mismatch_ratio": 0.0,
|
| 193 |
+
"rollout/truncated_ratio": 0.6875,
|
| 194 |
+
"sampling/importance_sampling_ratio/max": 2.4376842975616455,
|
| 195 |
+
"sampling/importance_sampling_ratio/mean": 0.3966376781463623,
|
| 196 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 197 |
+
"sampling/sampling_logp_difference/max": 1.3790063858032227,
|
| 198 |
+
"sampling/sampling_logp_difference/mean": 0.022958241403102875,
|
| 199 |
+
"step": 5,
|
| 200 |
+
"step_time": 428.7077085350011
|
| 201 |
+
},
|
| 202 |
+
{
|
| 203 |
+
"clip_ratio/high_max": 0.0,
|
| 204 |
+
"clip_ratio/high_mean": 0.0,
|
| 205 |
+
"clip_ratio/low_mean": 0.0,
|
| 206 |
+
"clip_ratio/low_min": 0.0,
|
| 207 |
+
"clip_ratio/region_mean": 0.0,
|
| 208 |
+
"completions/clipped_ratio": 0.546875,
|
| 209 |
+
"completions/max_length": 1754.0,
|
| 210 |
+
"completions/max_terminated_length": 1081.0,
|
| 211 |
+
"completions/mean_length": 778.265625,
|
| 212 |
+
"completions/mean_terminated_length": 513.0689697265625,
|
| 213 |
+
"completions/min_length": 89.0,
|
| 214 |
+
"completions/min_terminated_length": 89.0,
|
| 215 |
+
"entropy": 0.33683515526354313,
|
| 216 |
+
"epoch": 0.048,
|
| 217 |
+
"frac_reward_zero_std": 0.0,
|
| 218 |
+
"grad_norm": 0.014856722205877304,
|
| 219 |
+
"kl": 0.0018188257581641665,
|
| 220 |
+
"learning_rate": 4.971170810820279e-06,
|
| 221 |
+
"loss": 0.0284,
|
| 222 |
+
"num_tokens": 300499.0,
|
| 223 |
+
"reward": 0.4112499952316284,
|
| 224 |
+
"reward_std": 0.4292137622833252,
|
| 225 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.4112499952316284,
|
| 226 |
+
"rewards/alfworld_rollout_reward_func/std": 0.5246087312698364,
|
| 227 |
+
"rollout/action_tokens_mean": 778.265625,
|
| 228 |
+
"rollout/episode_turns_mean": 24.0,
|
| 229 |
+
"rollout/mismatch_mean": 0.0,
|
| 230 |
+
"rollout/mismatch_ratio": 0.0,
|
| 231 |
+
"rollout/truncated_ratio": 0.546875,
|
| 232 |
+
"sampling/importance_sampling_ratio/max": 2.469376802444458,
|
| 233 |
+
"sampling/importance_sampling_ratio/mean": 0.41494274139404297,
|
| 234 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 235 |
+
"sampling/sampling_logp_difference/max": 2.5756630897521973,
|
| 236 |
+
"sampling/sampling_logp_difference/mean": 0.020635541528463364,
|
| 237 |
+
"step": 6,
|
| 238 |
+
"step_time": 329.3498830619992
|
| 239 |
+
},
|
| 240 |
+
{
|
| 241 |
+
"clip_ratio/high_max": 0.0,
|
| 242 |
+
"clip_ratio/high_mean": 0.0,
|
| 243 |
+
"clip_ratio/low_mean": 0.0,
|
| 244 |
+
"clip_ratio/low_min": 0.0,
|
| 245 |
+
"clip_ratio/region_mean": 0.0,
|
| 246 |
+
"completions/clipped_ratio": 0.765625,
|
| 247 |
+
"completions/max_length": 1750.0,
|
| 248 |
+
"completions/max_terminated_length": 882.0,
|
| 249 |
+
"completions/mean_length": 834.359375,
|
| 250 |
+
"completions/mean_terminated_length": 538.4000244140625,
|
| 251 |
+
"completions/min_length": 142.0,
|
| 252 |
+
"completions/min_terminated_length": 142.0,
|
| 253 |
+
"entropy": 0.37804630119353533,
|
| 254 |
+
"epoch": 0.056,
|
| 255 |
+
"frac_reward_zero_std": 0.0,
|
| 256 |
+
"grad_norm": 0.011092925444245338,
|
| 257 |
+
"kl": 0.0017349459521938115,
|
| 258 |
+
"learning_rate": 4.948824853131237e-06,
|
| 259 |
+
"loss": 0.0135,
|
| 260 |
+
"num_tokens": 353898.0,
|
| 261 |
+
"reward": 0.1875,
|
| 262 |
+
"reward_std": 0.41170334815979004,
|
| 263 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.1875,
|
| 264 |
+
"rewards/alfworld_rollout_reward_func/std": 0.4403570294380188,
|
| 265 |
+
"rollout/action_tokens_mean": 834.359375,
|
| 266 |
+
"rollout/episode_turns_mean": 27.0625,
|
| 267 |
+
"rollout/mismatch_mean": 0.015625,
|
| 268 |
+
"rollout/mismatch_ratio": 0.015625,
|
| 269 |
+
"rollout/truncated_ratio": 0.765625,
|
| 270 |
+
"sampling/importance_sampling_ratio/max": 2.2279603481292725,
|
| 271 |
+
"sampling/importance_sampling_ratio/mean": 0.46820664405822754,
|
| 272 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 273 |
+
"sampling/sampling_logp_difference/max": 3.733177900314331,
|
| 274 |
+
"sampling/sampling_logp_difference/mean": 0.022584954276680946,
|
| 275 |
+
"step": 7,
|
| 276 |
+
"step_time": 372.10799923799914
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"clip_ratio/high_max": 0.0,
|
| 280 |
+
"clip_ratio/high_mean": 0.0,
|
| 281 |
+
"clip_ratio/low_mean": 0.0,
|
| 282 |
+
"clip_ratio/low_min": 0.0,
|
| 283 |
+
"clip_ratio/region_mean": 0.0,
|
| 284 |
+
"completions/clipped_ratio": 0.765625,
|
| 285 |
+
"completions/max_length": 1682.0,
|
| 286 |
+
"completions/max_terminated_length": 697.0,
|
| 287 |
+
"completions/mean_length": 786.5625,
|
| 288 |
+
"completions/mean_terminated_length": 380.8000183105469,
|
| 289 |
+
"completions/min_length": 180.0,
|
| 290 |
+
"completions/min_terminated_length": 180.0,
|
| 291 |
+
"entropy": 0.32334376219660044,
|
| 292 |
+
"epoch": 0.064,
|
| 293 |
+
"frac_reward_zero_std": 0.0,
|
| 294 |
+
"grad_norm": 0.010468119755387306,
|
| 295 |
+
"kl": 0.0017176041819766397,
|
| 296 |
+
"learning_rate": 4.920192797165511e-06,
|
| 297 |
+
"loss": -0.0059,
|
| 298 |
+
"num_tokens": 404238.0,
|
| 299 |
+
"reward": 0.1939062476158142,
|
| 300 |
+
"reward_std": 0.31658345460891724,
|
| 301 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.1939062476158142,
|
| 302 |
+
"rewards/alfworld_rollout_reward_func/std": 0.44521304965019226,
|
| 303 |
+
"rollout/action_tokens_mean": 786.5625,
|
| 304 |
+
"rollout/episode_turns_mean": 25.984375,
|
| 305 |
+
"rollout/mismatch_mean": 0.0,
|
| 306 |
+
"rollout/mismatch_ratio": 0.0,
|
| 307 |
+
"rollout/truncated_ratio": 0.765625,
|
| 308 |
+
"sampling/importance_sampling_ratio/max": 2.8437609672546387,
|
| 309 |
+
"sampling/importance_sampling_ratio/mean": 0.6038376092910767,
|
| 310 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 311 |
+
"sampling/sampling_logp_difference/max": 2.8486413955688477,
|
| 312 |
+
"sampling/sampling_logp_difference/mean": 0.0203598253428936,
|
| 313 |
+
"step": 8,
|
| 314 |
+
"step_time": 434.73393120799847
|
| 315 |
+
},
|
| 316 |
+
{
|
| 317 |
+
"clip_ratio/high_max": 0.0,
|
| 318 |
+
"clip_ratio/high_mean": 0.0,
|
| 319 |
+
"clip_ratio/low_mean": 0.0,
|
| 320 |
+
"clip_ratio/low_min": 0.0,
|
| 321 |
+
"clip_ratio/region_mean": 0.0,
|
| 322 |
+
"completions/clipped_ratio": 0.75,
|
| 323 |
+
"completions/max_length": 1492.0,
|
| 324 |
+
"completions/max_terminated_length": 1027.0,
|
| 325 |
+
"completions/mean_length": 818.34375,
|
| 326 |
+
"completions/mean_terminated_length": 474.0625,
|
| 327 |
+
"completions/min_length": 192.0,
|
| 328 |
+
"completions/min_terminated_length": 192.0,
|
| 329 |
+
"entropy": 0.32139473129063845,
|
| 330 |
+
"epoch": 0.072,
|
| 331 |
+
"frac_reward_zero_std": 0.0,
|
| 332 |
+
"grad_norm": 0.006268487311899662,
|
| 333 |
+
"kl": 0.0026504553206905257,
|
| 334 |
+
"learning_rate": 4.8853481410001225e-06,
|
| 335 |
+
"loss": -0.0089,
|
| 336 |
+
"num_tokens": 456612.0,
|
| 337 |
+
"reward": 0.19500000774860382,
|
| 338 |
+
"reward_std": 0.29811495542526245,
|
| 339 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.19500000774860382,
|
| 340 |
+
"rewards/alfworld_rollout_reward_func/std": 0.46079298853874207,
|
| 341 |
+
"rollout/action_tokens_mean": 818.34375,
|
| 342 |
+
"rollout/episode_turns_mean": 26.109375,
|
| 343 |
+
"rollout/mismatch_mean": 0.0,
|
| 344 |
+
"rollout/mismatch_ratio": 0.0,
|
| 345 |
+
"rollout/truncated_ratio": 0.75,
|
| 346 |
+
"sampling/importance_sampling_ratio/max": 2.6596250534057617,
|
| 347 |
+
"sampling/importance_sampling_ratio/mean": 0.42990007996559143,
|
| 348 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 349 |
+
"sampling/sampling_logp_difference/max": 3.3629698753356934,
|
| 350 |
+
"sampling/sampling_logp_difference/mean": 0.019470183178782463,
|
| 351 |
+
"step": 9,
|
| 352 |
+
"step_time": 399.7356371579963
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"clip_ratio/high_max": 0.0,
|
| 356 |
+
"clip_ratio/high_mean": 0.0,
|
| 357 |
+
"clip_ratio/low_mean": 0.0,
|
| 358 |
+
"clip_ratio/low_min": 0.0,
|
| 359 |
+
"clip_ratio/region_mean": 0.0,
|
| 360 |
+
"completions/clipped_ratio": 0.59375,
|
| 361 |
+
"completions/max_length": 1381.0,
|
| 362 |
+
"completions/max_terminated_length": 1015.0,
|
| 363 |
+
"completions/mean_length": 710.296875,
|
| 364 |
+
"completions/mean_terminated_length": 485.5384826660156,
|
| 365 |
+
"completions/min_length": 193.0,
|
| 366 |
+
"completions/min_terminated_length": 193.0,
|
| 367 |
+
"entropy": 0.34738565888255835,
|
| 368 |
+
"epoch": 0.08,
|
| 369 |
+
"frac_reward_zero_std": 0.0,
|
| 370 |
+
"grad_norm": 0.010129230096936226,
|
| 371 |
+
"kl": 0.0015055066687637009,
|
| 372 |
+
"learning_rate": 4.844380330367701e-06,
|
| 373 |
+
"loss": 0.0042,
|
| 374 |
+
"num_tokens": 502071.0,
|
| 375 |
+
"reward": 0.3684375286102295,
|
| 376 |
+
"reward_std": 0.3336261808872223,
|
| 377 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.3684375286102295,
|
| 378 |
+
"rewards/alfworld_rollout_reward_func/std": 0.5042713284492493,
|
| 379 |
+
"rollout/action_tokens_mean": 710.296875,
|
| 380 |
+
"rollout/episode_turns_mean": 24.859375,
|
| 381 |
+
"rollout/mismatch_mean": 0.015625,
|
| 382 |
+
"rollout/mismatch_ratio": 0.015625,
|
| 383 |
+
"rollout/truncated_ratio": 0.59375,
|
| 384 |
+
"sampling/importance_sampling_ratio/max": 2.386782646179199,
|
| 385 |
+
"sampling/importance_sampling_ratio/mean": 0.5169863104820251,
|
| 386 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 387 |
+
"sampling/sampling_logp_difference/max": 3.2723636627197266,
|
| 388 |
+
"sampling/sampling_logp_difference/mean": 0.022041790187358856,
|
| 389 |
+
"step": 10,
|
| 390 |
+
"step_time": 394.5470729360013
|
| 391 |
+
},
|
| 392 |
+
{
|
| 393 |
+
"clip_ratio/high_max": 0.0,
|
| 394 |
+
"clip_ratio/high_mean": 0.0,
|
| 395 |
+
"clip_ratio/low_mean": 0.0,
|
| 396 |
+
"clip_ratio/low_min": 0.0,
|
| 397 |
+
"clip_ratio/region_mean": 0.0,
|
| 398 |
+
"completions/clipped_ratio": 0.859375,
|
| 399 |
+
"completions/max_length": 1352.0,
|
| 400 |
+
"completions/max_terminated_length": 782.0,
|
| 401 |
+
"completions/mean_length": 881.84375,
|
| 402 |
+
"completions/mean_terminated_length": 523.4444580078125,
|
| 403 |
+
"completions/min_length": 224.0,
|
| 404 |
+
"completions/min_terminated_length": 224.0,
|
| 405 |
+
"entropy": 0.3616171991452575,
|
| 406 |
+
"epoch": 0.088,
|
| 407 |
+
"frac_reward_zero_std": 0.0,
|
| 408 |
+
"grad_norm": 0.00803722906857729,
|
| 409 |
+
"kl": 0.0017023698201228399,
|
| 410 |
+
"learning_rate": 4.797394529050577e-06,
|
| 411 |
+
"loss": 0.0111,
|
| 412 |
+
"num_tokens": 558509.0,
|
| 413 |
+
"reward": 0.08921875059604645,
|
| 414 |
+
"reward_std": 0.2777005434036255,
|
| 415 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.08921875059604645,
|
| 416 |
+
"rewards/alfworld_rollout_reward_func/std": 0.36485835909843445,
|
| 417 |
+
"rollout/action_tokens_mean": 881.84375,
|
| 418 |
+
"rollout/episode_turns_mean": 28.40625,
|
| 419 |
+
"rollout/mismatch_mean": 0.0,
|
| 420 |
+
"rollout/mismatch_ratio": 0.0,
|
| 421 |
+
"rollout/truncated_ratio": 0.859375,
|
| 422 |
+
"sampling/importance_sampling_ratio/max": 2.7719504833221436,
|
| 423 |
+
"sampling/importance_sampling_ratio/mean": 0.4752790629863739,
|
| 424 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 425 |
+
"sampling/sampling_logp_difference/max": 3.038581132888794,
|
| 426 |
+
"sampling/sampling_logp_difference/mean": 0.02142297849059105,
|
| 427 |
+
"step": 11,
|
| 428 |
+
"step_time": 396.1487058620023
|
| 429 |
+
},
|
| 430 |
+
{
|
| 431 |
+
"clip_ratio/high_max": 0.0,
|
| 432 |
+
"clip_ratio/high_mean": 0.0,
|
| 433 |
+
"clip_ratio/low_mean": 0.0,
|
| 434 |
+
"clip_ratio/low_min": 0.0,
|
| 435 |
+
"clip_ratio/region_mean": 0.0,
|
| 436 |
+
"completions/clipped_ratio": 0.671875,
|
| 437 |
+
"completions/max_length": 2292.0,
|
| 438 |
+
"completions/max_terminated_length": 901.0,
|
| 439 |
+
"completions/mean_length": 860.28125,
|
| 440 |
+
"completions/mean_terminated_length": 460.76190185546875,
|
| 441 |
+
"completions/min_length": 116.0,
|
| 442 |
+
"completions/min_terminated_length": 116.0,
|
| 443 |
+
"entropy": 0.35516145126894116,
|
| 444 |
+
"epoch": 0.096,
|
| 445 |
+
"frac_reward_zero_std": 0.0,
|
| 446 |
+
"grad_norm": 0.011235510930418968,
|
| 447 |
+
"kl": 0.0016268756971840048,
|
| 448 |
+
"learning_rate": 4.744511348926855e-06,
|
| 449 |
+
"loss": 0.0048,
|
| 450 |
+
"num_tokens": 613567.0,
|
| 451 |
+
"reward": 0.26890623569488525,
|
| 452 |
+
"reward_std": 0.41516801714897156,
|
| 453 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.26890626549720764,
|
| 454 |
+
"rewards/alfworld_rollout_reward_func/std": 0.4936746656894684,
|
| 455 |
+
"rollout/action_tokens_mean": 860.28125,
|
| 456 |
+
"rollout/episode_turns_mean": 25.484375,
|
| 457 |
+
"rollout/mismatch_mean": 0.0,
|
| 458 |
+
"rollout/mismatch_ratio": 0.0,
|
| 459 |
+
"rollout/truncated_ratio": 0.671875,
|
| 460 |
+
"sampling/importance_sampling_ratio/max": 2.7596683502197266,
|
| 461 |
+
"sampling/importance_sampling_ratio/mean": 0.5103189945220947,
|
| 462 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 463 |
+
"sampling/sampling_logp_difference/max": 2.6376895904541016,
|
| 464 |
+
"sampling/sampling_logp_difference/mean": 0.02156790718436241,
|
| 465 |
+
"step": 12,
|
| 466 |
+
"step_time": 421.574981908002
|
| 467 |
+
},
|
| 468 |
+
{
|
| 469 |
+
"clip_ratio/high_max": 0.0,
|
| 470 |
+
"clip_ratio/high_mean": 0.0,
|
| 471 |
+
"clip_ratio/low_mean": 0.0,
|
| 472 |
+
"clip_ratio/low_min": 0.0,
|
| 473 |
+
"clip_ratio/region_mean": 0.0,
|
| 474 |
+
"completions/clipped_ratio": 0.8125,
|
| 475 |
+
"completions/max_length": 1382.0,
|
| 476 |
+
"completions/max_terminated_length": 775.0,
|
| 477 |
+
"completions/mean_length": 836.53125,
|
| 478 |
+
"completions/mean_terminated_length": 586.4166870117188,
|
| 479 |
+
"completions/min_length": 402.0,
|
| 480 |
+
"completions/min_terminated_length": 402.0,
|
| 481 |
+
"entropy": 0.35410969890654087,
|
| 482 |
+
"epoch": 0.104,
|
| 483 |
+
"frac_reward_zero_std": 0.0,
|
| 484 |
+
"grad_norm": 0.010335148312151432,
|
| 485 |
+
"kl": 0.0018077169770549517,
|
| 486 |
+
"learning_rate": 4.685866540361456e-06,
|
| 487 |
+
"loss": 0.0068,
|
| 488 |
+
"num_tokens": 667105.0,
|
| 489 |
+
"reward": 0.14281249046325684,
|
| 490 |
+
"reward_std": 0.3198840916156769,
|
| 491 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.14281249046325684,
|
| 492 |
+
"rewards/alfworld_rollout_reward_func/std": 0.3984073996543884,
|
| 493 |
+
"rollout/action_tokens_mean": 836.53125,
|
| 494 |
+
"rollout/episode_turns_mean": 28.453125,
|
| 495 |
+
"rollout/mismatch_mean": 0.0,
|
| 496 |
+
"rollout/mismatch_ratio": 0.0,
|
| 497 |
+
"rollout/truncated_ratio": 0.8125,
|
| 498 |
+
"sampling/importance_sampling_ratio/max": 2.6870784759521484,
|
| 499 |
+
"sampling/importance_sampling_ratio/mean": 0.6008636951446533,
|
| 500 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 501 |
+
"sampling/sampling_logp_difference/max": 2.14093017578125,
|
| 502 |
+
"sampling/sampling_logp_difference/mean": 0.021617209538817406,
|
| 503 |
+
"step": 13,
|
| 504 |
+
"step_time": 369.507772967002
|
| 505 |
+
},
|
| 506 |
+
{
|
| 507 |
+
"clip_ratio/high_max": 0.0,
|
| 508 |
+
"clip_ratio/high_mean": 0.0,
|
| 509 |
+
"clip_ratio/low_mean": 0.0,
|
| 510 |
+
"clip_ratio/low_min": 0.0,
|
| 511 |
+
"clip_ratio/region_mean": 0.0,
|
| 512 |
+
"completions/clipped_ratio": 0.6875,
|
| 513 |
+
"completions/max_length": 1584.0,
|
| 514 |
+
"completions/max_terminated_length": 1063.0,
|
| 515 |
+
"completions/mean_length": 793.703125,
|
| 516 |
+
"completions/mean_terminated_length": 525.4500122070312,
|
| 517 |
+
"completions/min_length": 158.0,
|
| 518 |
+
"completions/min_terminated_length": 158.0,
|
| 519 |
+
"entropy": 0.34002805408090353,
|
| 520 |
+
"epoch": 0.112,
|
| 521 |
+
"frac_reward_zero_std": 0.0,
|
| 522 |
+
"grad_norm": 0.00711849657818675,
|
| 523 |
+
"kl": 0.0019163258293701801,
|
| 524 |
+
"learning_rate": 4.621610643736878e-06,
|
| 525 |
+
"loss": 0.0062,
|
| 526 |
+
"num_tokens": 717902.0,
|
| 527 |
+
"reward": 0.2626562714576721,
|
| 528 |
+
"reward_std": 0.3680095076560974,
|
| 529 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.26265624165534973,
|
| 530 |
+
"rewards/alfworld_rollout_reward_func/std": 0.489940881729126,
|
| 531 |
+
"rollout/action_tokens_mean": 793.703125,
|
| 532 |
+
"rollout/episode_turns_mean": 26.28125,
|
| 533 |
+
"rollout/mismatch_mean": 0.0,
|
| 534 |
+
"rollout/mismatch_ratio": 0.0,
|
| 535 |
+
"rollout/truncated_ratio": 0.6875,
|
| 536 |
+
"sampling/importance_sampling_ratio/max": 2.815065860748291,
|
| 537 |
+
"sampling/importance_sampling_ratio/mean": 0.45154738426208496,
|
| 538 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 539 |
+
"sampling/sampling_logp_difference/max": 2.7529265880584717,
|
| 540 |
+
"sampling/sampling_logp_difference/mean": 0.0205212514847517,
|
| 541 |
+
"step": 14,
|
| 542 |
+
"step_time": 327.6827599140015
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"clip_ratio/high_max": 0.0,
|
| 546 |
+
"clip_ratio/high_mean": 0.0,
|
| 547 |
+
"clip_ratio/low_mean": 0.0,
|
| 548 |
+
"clip_ratio/low_min": 0.0,
|
| 549 |
+
"clip_ratio/region_mean": 0.0,
|
| 550 |
+
"completions/clipped_ratio": 0.84375,
|
| 551 |
+
"completions/max_length": 1814.0,
|
| 552 |
+
"completions/max_terminated_length": 890.0,
|
| 553 |
+
"completions/mean_length": 909.109375,
|
| 554 |
+
"completions/mean_terminated_length": 528.7999877929688,
|
| 555 |
+
"completions/min_length": 242.0,
|
| 556 |
+
"completions/min_terminated_length": 242.0,
|
| 557 |
+
"entropy": 0.35556588135659695,
|
| 558 |
+
"epoch": 0.12,
|
| 559 |
+
"frac_reward_zero_std": 0.0,
|
| 560 |
+
"grad_norm": 0.010462122038006783,
|
| 561 |
+
"kl": 0.0016676104332873365,
|
| 562 |
+
"learning_rate": 4.551908603018191e-06,
|
| 563 |
+
"loss": -0.0076,
|
| 564 |
+
"num_tokens": 776085.0,
|
| 565 |
+
"reward": 0.10140626132488251,
|
| 566 |
+
"reward_std": 0.36953580379486084,
|
| 567 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.10140625387430191,
|
| 568 |
+
"rewards/alfworld_rollout_reward_func/std": 0.38891327381134033,
|
| 569 |
+
"rollout/action_tokens_mean": 909.109375,
|
| 570 |
+
"rollout/episode_turns_mean": 28.0,
|
| 571 |
+
"rollout/mismatch_mean": 0.015625,
|
| 572 |
+
"rollout/mismatch_ratio": 0.015625,
|
| 573 |
+
"rollout/truncated_ratio": 0.84375,
|
| 574 |
+
"sampling/importance_sampling_ratio/max": 2.0437681674957275,
|
| 575 |
+
"sampling/importance_sampling_ratio/mean": 0.3665631115436554,
|
| 576 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 577 |
+
"sampling/sampling_logp_difference/max": 4.642125606536865,
|
| 578 |
+
"sampling/sampling_logp_difference/mean": 0.021498428657650948,
|
| 579 |
+
"step": 15,
|
| 580 |
+
"step_time": 409.45475878100024
|
| 581 |
+
},
|
| 582 |
+
{
|
| 583 |
+
"clip_ratio/high_max": 0.0,
|
| 584 |
+
"clip_ratio/high_mean": 0.0,
|
| 585 |
+
"clip_ratio/low_mean": 0.0,
|
| 586 |
+
"clip_ratio/low_min": 0.0,
|
| 587 |
+
"clip_ratio/region_mean": 0.0,
|
| 588 |
+
"completions/clipped_ratio": 0.703125,
|
| 589 |
+
"completions/max_length": 2069.0,
|
| 590 |
+
"completions/max_terminated_length": 815.0,
|
| 591 |
+
"completions/mean_length": 858.484375,
|
| 592 |
+
"completions/mean_terminated_length": 363.0,
|
| 593 |
+
"completions/min_length": 128.0,
|
| 594 |
+
"completions/min_terminated_length": 128.0,
|
| 595 |
+
"entropy": 0.3426384939812124,
|
| 596 |
+
"epoch": 0.128,
|
| 597 |
+
"frac_reward_zero_std": 0.0,
|
| 598 |
+
"grad_norm": 0.007739651948213577,
|
| 599 |
+
"kl": 0.0015719706807431066,
|
| 600 |
+
"learning_rate": 4.476939342344246e-06,
|
| 601 |
+
"loss": -0.002,
|
| 602 |
+
"num_tokens": 831028.0,
|
| 603 |
+
"reward": 0.2515625059604645,
|
| 604 |
+
"reward_std": 0.4047408103942871,
|
| 605 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.2515625059604645,
|
| 606 |
+
"rewards/alfworld_rollout_reward_func/std": 0.48498478531837463,
|
| 607 |
+
"rollout/action_tokens_mean": 858.484375,
|
| 608 |
+
"rollout/episode_turns_mean": 25.015625,
|
| 609 |
+
"rollout/mismatch_mean": 0.0,
|
| 610 |
+
"rollout/mismatch_ratio": 0.0,
|
| 611 |
+
"rollout/truncated_ratio": 0.703125,
|
| 612 |
+
"sampling/importance_sampling_ratio/max": 2.197270631790161,
|
| 613 |
+
"sampling/importance_sampling_ratio/mean": 0.3564271330833435,
|
| 614 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 615 |
+
"sampling/sampling_logp_difference/max": 1.3733601570129395,
|
| 616 |
+
"sampling/sampling_logp_difference/mean": 0.021193569526076317,
|
| 617 |
+
"step": 16,
|
| 618 |
+
"step_time": 341.3529842470016
|
| 619 |
+
},
|
| 620 |
+
{
|
| 621 |
+
"clip_ratio/high_max": 0.0,
|
| 622 |
+
"clip_ratio/high_mean": 0.0,
|
| 623 |
+
"clip_ratio/low_mean": 0.0,
|
| 624 |
+
"clip_ratio/low_min": 0.0,
|
| 625 |
+
"clip_ratio/region_mean": 0.0,
|
| 626 |
+
"completions/clipped_ratio": 0.765625,
|
| 627 |
+
"completions/max_length": 1344.0,
|
| 628 |
+
"completions/max_terminated_length": 872.0,
|
| 629 |
+
"completions/mean_length": 800.890625,
|
| 630 |
+
"completions/mean_terminated_length": 410.0000305175781,
|
| 631 |
+
"completions/min_length": 199.0,
|
| 632 |
+
"completions/min_terminated_length": 199.0,
|
| 633 |
+
"entropy": 0.3335589300841093,
|
| 634 |
+
"epoch": 0.136,
|
| 635 |
+
"frac_reward_zero_std": 0.0,
|
| 636 |
+
"grad_norm": 1.4890336990356445,
|
| 637 |
+
"kl": 0.8330444995917787,
|
| 638 |
+
"learning_rate": 4.396895306731978e-06,
|
| 639 |
+
"loss": 0.0005,
|
| 640 |
+
"num_tokens": 882285.0,
|
| 641 |
+
"reward": 0.18125000596046448,
|
| 642 |
+
"reward_std": 0.24295468628406525,
|
| 643 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.18124999105930328,
|
| 644 |
+
"rewards/alfworld_rollout_reward_func/std": 0.4482647478580475,
|
| 645 |
+
"rollout/action_tokens_mean": 800.890625,
|
| 646 |
+
"rollout/episode_turns_mean": 26.265625,
|
| 647 |
+
"rollout/mismatch_mean": 0.0,
|
| 648 |
+
"rollout/mismatch_ratio": 0.0,
|
| 649 |
+
"rollout/truncated_ratio": 0.765625,
|
| 650 |
+
"sampling/importance_sampling_ratio/max": 2.3350934982299805,
|
| 651 |
+
"sampling/importance_sampling_ratio/mean": 0.37133079767227173,
|
| 652 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 653 |
+
"sampling/sampling_logp_difference/max": 10.240796089172363,
|
| 654 |
+
"sampling/sampling_logp_difference/mean": 0.020599324256181717,
|
| 655 |
+
"step": 17,
|
| 656 |
+
"step_time": 436.20165634099976
|
| 657 |
+
},
|
| 658 |
+
{
|
| 659 |
+
"clip_ratio/high_max": 0.0,
|
| 660 |
+
"clip_ratio/high_mean": 0.0,
|
| 661 |
+
"clip_ratio/low_mean": 0.0,
|
| 662 |
+
"clip_ratio/low_min": 0.0,
|
| 663 |
+
"clip_ratio/region_mean": 0.0,
|
| 664 |
+
"completions/clipped_ratio": 0.890625,
|
| 665 |
+
"completions/max_length": 1359.0,
|
| 666 |
+
"completions/max_terminated_length": 872.0,
|
| 667 |
+
"completions/mean_length": 864.640625,
|
| 668 |
+
"completions/mean_terminated_length": 638.7142944335938,
|
| 669 |
+
"completions/min_length": 240.0,
|
| 670 |
+
"completions/min_terminated_length": 240.0,
|
| 671 |
+
"entropy": 0.3253911091014743,
|
| 672 |
+
"epoch": 0.144,
|
| 673 |
+
"frac_reward_zero_std": 0.0,
|
| 674 |
+
"grad_norm": 0.007197697646915913,
|
| 675 |
+
"kl": 0.0016915635187615408,
|
| 676 |
+
"learning_rate": 4.3119819680728e-06,
|
| 677 |
+
"loss": -0.0099,
|
| 678 |
+
"num_tokens": 937622.0,
|
| 679 |
+
"reward": 0.06968750059604645,
|
| 680 |
+
"reward_std": 0.19933855533599854,
|
| 681 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.06968750059604645,
|
| 682 |
+
"rewards/alfworld_rollout_reward_func/std": 0.3224163353443146,
|
| 683 |
+
"rollout/action_tokens_mean": 864.640625,
|
| 684 |
+
"rollout/episode_turns_mean": 28.9375,
|
| 685 |
+
"rollout/mismatch_mean": 0.0,
|
| 686 |
+
"rollout/mismatch_ratio": 0.0,
|
| 687 |
+
"rollout/truncated_ratio": 0.890625,
|
| 688 |
+
"sampling/importance_sampling_ratio/max": 2.2717995643615723,
|
| 689 |
+
"sampling/importance_sampling_ratio/mean": 0.5041627287864685,
|
| 690 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 691 |
+
"sampling/sampling_logp_difference/max": 2.0254077911376953,
|
| 692 |
+
"sampling/sampling_logp_difference/mean": 0.019858187064528465,
|
| 693 |
+
"step": 18,
|
| 694 |
+
"step_time": 437.1889309570033
|
| 695 |
+
},
|
| 696 |
+
{
|
| 697 |
+
"clip_ratio/high_max": 0.0,
|
| 698 |
+
"clip_ratio/high_mean": 0.0,
|
| 699 |
+
"clip_ratio/low_mean": 0.0,
|
| 700 |
+
"clip_ratio/low_min": 0.0,
|
| 701 |
+
"clip_ratio/region_mean": 0.0,
|
| 702 |
+
"completions/clipped_ratio": 0.703125,
|
| 703 |
+
"completions/max_length": 2201.0,
|
| 704 |
+
"completions/max_terminated_length": 1115.0,
|
| 705 |
+
"completions/mean_length": 844.5,
|
| 706 |
+
"completions/mean_terminated_length": 540.631591796875,
|
| 707 |
+
"completions/min_length": 140.0,
|
| 708 |
+
"completions/min_terminated_length": 140.0,
|
| 709 |
+
"entropy": 0.33306339103728533,
|
| 710 |
+
"epoch": 0.152,
|
| 711 |
+
"frac_reward_zero_std": 0.0,
|
| 712 |
+
"grad_norm": 0.010224551893770695,
|
| 713 |
+
"kl": 0.001574573227117071,
|
| 714 |
+
"learning_rate": 4.222417297689217e-06,
|
| 715 |
+
"loss": 0.0213,
|
| 716 |
+
"num_tokens": 991670.0,
|
| 717 |
+
"reward": 0.24437499046325684,
|
| 718 |
+
"reward_std": 0.42425790429115295,
|
| 719 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.24437500536441803,
|
| 720 |
+
"rewards/alfworld_rollout_reward_func/std": 0.48038968443870544,
|
| 721 |
+
"rollout/action_tokens_mean": 844.5,
|
| 722 |
+
"rollout/episode_turns_mean": 26.171875,
|
| 723 |
+
"rollout/mismatch_mean": 0.0,
|
| 724 |
+
"rollout/mismatch_ratio": 0.0,
|
| 725 |
+
"rollout/truncated_ratio": 0.703125,
|
| 726 |
+
"sampling/importance_sampling_ratio/max": 2.5866730213165283,
|
| 727 |
+
"sampling/importance_sampling_ratio/mean": 0.5376668572425842,
|
| 728 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 729 |
+
"sampling/sampling_logp_difference/max": 1.632045865058899,
|
| 730 |
+
"sampling/sampling_logp_difference/mean": 0.01941317319869995,
|
| 731 |
+
"step": 19,
|
| 732 |
+
"step_time": 348.9997736020032
|
| 733 |
+
},
|
| 734 |
+
{
|
| 735 |
+
"clip_ratio/high_max": 0.0,
|
| 736 |
+
"clip_ratio/high_mean": 0.0,
|
| 737 |
+
"clip_ratio/low_mean": 0.0,
|
| 738 |
+
"clip_ratio/low_min": 0.0,
|
| 739 |
+
"clip_ratio/region_mean": 0.0,
|
| 740 |
+
"completions/clipped_ratio": 0.75,
|
| 741 |
+
"completions/max_length": 1764.0,
|
| 742 |
+
"completions/max_terminated_length": 1085.0,
|
| 743 |
+
"completions/mean_length": 937.640625,
|
| 744 |
+
"completions/mean_terminated_length": 530.6875,
|
| 745 |
+
"completions/min_length": 201.0,
|
| 746 |
+
"completions/min_terminated_length": 201.0,
|
| 747 |
+
"entropy": 0.3477782104164362,
|
| 748 |
+
"epoch": 0.16,
|
| 749 |
+
"frac_reward_zero_std": 0.0,
|
| 750 |
+
"grad_norm": 0.010612000711262226,
|
| 751 |
+
"kl": 0.001602184345756541,
|
| 752 |
+
"learning_rate": 4.128431206805556e-06,
|
| 753 |
+
"loss": 0.0044,
|
| 754 |
+
"num_tokens": 1051679.0,
|
| 755 |
+
"reward": 0.1901562511920929,
|
| 756 |
+
"reward_std": 0.39348262548446655,
|
| 757 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.1901562511920929,
|
| 758 |
+
"rewards/alfworld_rollout_reward_func/std": 0.4530303478240967,
|
| 759 |
+
"rollout/action_tokens_mean": 937.640625,
|
| 760 |
+
"rollout/episode_turns_mean": 26.6875,
|
| 761 |
+
"rollout/mismatch_mean": 0.0,
|
| 762 |
+
"rollout/mismatch_ratio": 0.0,
|
| 763 |
+
"rollout/truncated_ratio": 0.75,
|
| 764 |
+
"sampling/importance_sampling_ratio/max": 2.5002288818359375,
|
| 765 |
+
"sampling/importance_sampling_ratio/mean": 0.4413934350013733,
|
| 766 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 767 |
+
"sampling/sampling_logp_difference/max": 2.34731388092041,
|
| 768 |
+
"sampling/sampling_logp_difference/mean": 0.0198683924973011,
|
| 769 |
+
"step": 20,
|
| 770 |
+
"step_time": 353.7044870629943
|
| 771 |
+
}
|
| 772 |
+
],
|
| 773 |
+
"logging_steps": 1,
|
| 774 |
+
"max_steps": 64,
|
| 775 |
+
"num_input_tokens_seen": 1051679,
|
| 776 |
+
"num_train_epochs": 1,
|
| 777 |
+
"save_steps": 20,
|
| 778 |
+
"stateful_callbacks": {
|
| 779 |
+
"TrainerControl": {
|
| 780 |
+
"args": {
|
| 781 |
+
"should_epoch_stop": false,
|
| 782 |
+
"should_evaluate": false,
|
| 783 |
+
"should_log": false,
|
| 784 |
+
"should_save": true,
|
| 785 |
+
"should_training_stop": false
|
| 786 |
+
},
|
| 787 |
+
"attributes": {}
|
| 788 |
+
}
|
| 789 |
+
},
|
| 790 |
+
"total_flos": 0.0,
|
| 791 |
+
"train_batch_size": 1,
|
| 792 |
+
"trial_name": null,
|
| 793 |
+
"trial_params": null
|
| 794 |
+
}
|
checkpoint-20/vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-40/README.md
ADDED
|
@@ -0,0 +1,210 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: /cache/models/Qwen--Qwen2.5-3B-Instruct
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- axolotl
|
| 7 |
+
- base_model:adapter:/cache/models/Qwen--Qwen2.5-3B-Instruct
|
| 8 |
+
- grpo
|
| 9 |
+
- lora
|
| 10 |
+
- transformers
|
| 11 |
+
- trl
|
| 12 |
+
---
|
| 13 |
+
|
| 14 |
+
# Model Card for Model ID
|
| 15 |
+
|
| 16 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
## Model Details
|
| 21 |
+
|
| 22 |
+
### Model Description
|
| 23 |
+
|
| 24 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 25 |
+
|
| 26 |
+
|
| 27 |
+
|
| 28 |
+
- **Developed by:** [More Information Needed]
|
| 29 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 30 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 31 |
+
- **Model type:** [More Information Needed]
|
| 32 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 33 |
+
- **License:** [More Information Needed]
|
| 34 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
### Model Sources [optional]
|
| 37 |
+
|
| 38 |
+
<!-- Provide the basic links for the model. -->
|
| 39 |
+
|
| 40 |
+
- **Repository:** [More Information Needed]
|
| 41 |
+
- **Paper [optional]:** [More Information Needed]
|
| 42 |
+
- **Demo [optional]:** [More Information Needed]
|
| 43 |
+
|
| 44 |
+
## Uses
|
| 45 |
+
|
| 46 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 47 |
+
|
| 48 |
+
### Direct Use
|
| 49 |
+
|
| 50 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 51 |
+
|
| 52 |
+
[More Information Needed]
|
| 53 |
+
|
| 54 |
+
### Downstream Use [optional]
|
| 55 |
+
|
| 56 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 57 |
+
|
| 58 |
+
[More Information Needed]
|
| 59 |
+
|
| 60 |
+
### Out-of-Scope Use
|
| 61 |
+
|
| 62 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 63 |
+
|
| 64 |
+
[More Information Needed]
|
| 65 |
+
|
| 66 |
+
## Bias, Risks, and Limitations
|
| 67 |
+
|
| 68 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 69 |
+
|
| 70 |
+
[More Information Needed]
|
| 71 |
+
|
| 72 |
+
### Recommendations
|
| 73 |
+
|
| 74 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 75 |
+
|
| 76 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 77 |
+
|
| 78 |
+
## How to Get Started with the Model
|
| 79 |
+
|
| 80 |
+
Use the code below to get started with the model.
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
## Training Details
|
| 85 |
+
|
| 86 |
+
### Training Data
|
| 87 |
+
|
| 88 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
### Training Procedure
|
| 93 |
+
|
| 94 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 95 |
+
|
| 96 |
+
#### Preprocessing [optional]
|
| 97 |
+
|
| 98 |
+
[More Information Needed]
|
| 99 |
+
|
| 100 |
+
|
| 101 |
+
#### Training Hyperparameters
|
| 102 |
+
|
| 103 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 104 |
+
|
| 105 |
+
#### Speeds, Sizes, Times [optional]
|
| 106 |
+
|
| 107 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 108 |
+
|
| 109 |
+
[More Information Needed]
|
| 110 |
+
|
| 111 |
+
## Evaluation
|
| 112 |
+
|
| 113 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 114 |
+
|
| 115 |
+
### Testing Data, Factors & Metrics
|
| 116 |
+
|
| 117 |
+
#### Testing Data
|
| 118 |
+
|
| 119 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 120 |
+
|
| 121 |
+
[More Information Needed]
|
| 122 |
+
|
| 123 |
+
#### Factors
|
| 124 |
+
|
| 125 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 126 |
+
|
| 127 |
+
[More Information Needed]
|
| 128 |
+
|
| 129 |
+
#### Metrics
|
| 130 |
+
|
| 131 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 132 |
+
|
| 133 |
+
[More Information Needed]
|
| 134 |
+
|
| 135 |
+
### Results
|
| 136 |
+
|
| 137 |
+
[More Information Needed]
|
| 138 |
+
|
| 139 |
+
#### Summary
|
| 140 |
+
|
| 141 |
+
|
| 142 |
+
|
| 143 |
+
## Model Examination [optional]
|
| 144 |
+
|
| 145 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 146 |
+
|
| 147 |
+
[More Information Needed]
|
| 148 |
+
|
| 149 |
+
## Environmental Impact
|
| 150 |
+
|
| 151 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 152 |
+
|
| 153 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 154 |
+
|
| 155 |
+
- **Hardware Type:** [More Information Needed]
|
| 156 |
+
- **Hours used:** [More Information Needed]
|
| 157 |
+
- **Cloud Provider:** [More Information Needed]
|
| 158 |
+
- **Compute Region:** [More Information Needed]
|
| 159 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 160 |
+
|
| 161 |
+
## Technical Specifications [optional]
|
| 162 |
+
|
| 163 |
+
### Model Architecture and Objective
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
### Compute Infrastructure
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
#### Hardware
|
| 172 |
+
|
| 173 |
+
[More Information Needed]
|
| 174 |
+
|
| 175 |
+
#### Software
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
## Citation [optional]
|
| 180 |
+
|
| 181 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 182 |
+
|
| 183 |
+
**BibTeX:**
|
| 184 |
+
|
| 185 |
+
[More Information Needed]
|
| 186 |
+
|
| 187 |
+
**APA:**
|
| 188 |
+
|
| 189 |
+
[More Information Needed]
|
| 190 |
+
|
| 191 |
+
## Glossary [optional]
|
| 192 |
+
|
| 193 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## More Information [optional]
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
|
| 201 |
+
## Model Card Authors [optional]
|
| 202 |
+
|
| 203 |
+
[More Information Needed]
|
| 204 |
+
|
| 205 |
+
## Model Card Contact
|
| 206 |
+
|
| 207 |
+
[More Information Needed]
|
| 208 |
+
### Framework versions
|
| 209 |
+
|
| 210 |
+
- PEFT 0.18.1
|
checkpoint-40/adapter_config.json
ADDED
|
@@ -0,0 +1,46 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
+
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "/cache/models/Qwen--Qwen2.5-3B-Instruct",
|
| 7 |
+
"bias": "none",
|
| 8 |
+
"corda_config": null,
|
| 9 |
+
"ensure_weight_tying": false,
|
| 10 |
+
"eva_config": null,
|
| 11 |
+
"exclude_modules": null,
|
| 12 |
+
"fan_in_fan_out": null,
|
| 13 |
+
"inference_mode": true,
|
| 14 |
+
"init_lora_weights": true,
|
| 15 |
+
"layer_replication": null,
|
| 16 |
+
"layers_pattern": null,
|
| 17 |
+
"layers_to_transform": null,
|
| 18 |
+
"loftq_config": {},
|
| 19 |
+
"lora_alpha": 32,
|
| 20 |
+
"lora_bias": false,
|
| 21 |
+
"lora_dropout": 0.0,
|
| 22 |
+
"megatron_config": null,
|
| 23 |
+
"megatron_core": "megatron.core",
|
| 24 |
+
"modules_to_save": null,
|
| 25 |
+
"peft_type": "LORA",
|
| 26 |
+
"peft_version": "0.18.1",
|
| 27 |
+
"qalora_group_size": 16,
|
| 28 |
+
"r": 16,
|
| 29 |
+
"rank_pattern": {},
|
| 30 |
+
"revision": null,
|
| 31 |
+
"target_modules": [
|
| 32 |
+
"q_proj",
|
| 33 |
+
"v_proj",
|
| 34 |
+
"k_proj",
|
| 35 |
+
"down_proj",
|
| 36 |
+
"o_proj",
|
| 37 |
+
"gate_proj",
|
| 38 |
+
"up_proj"
|
| 39 |
+
],
|
| 40 |
+
"target_parameters": [],
|
| 41 |
+
"task_type": "CAUSAL_LM",
|
| 42 |
+
"trainable_token_indices": null,
|
| 43 |
+
"use_dora": false,
|
| 44 |
+
"use_qalora": false,
|
| 45 |
+
"use_rslora": false
|
| 46 |
+
}
|
checkpoint-40/added_tokens.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"</tool_call>": 151658,
|
| 3 |
+
"<tool_call>": 151657,
|
| 4 |
+
"<|box_end|>": 151649,
|
| 5 |
+
"<|box_start|>": 151648,
|
| 6 |
+
"<|endoftext|>": 151643,
|
| 7 |
+
"<|file_sep|>": 151664,
|
| 8 |
+
"<|fim_middle|>": 151660,
|
| 9 |
+
"<|fim_pad|>": 151662,
|
| 10 |
+
"<|fim_prefix|>": 151659,
|
| 11 |
+
"<|fim_suffix|>": 151661,
|
| 12 |
+
"<|im_end|>": 151645,
|
| 13 |
+
"<|im_start|>": 151644,
|
| 14 |
+
"<|image_pad|>": 151655,
|
| 15 |
+
"<|object_ref_end|>": 151647,
|
| 16 |
+
"<|object_ref_start|>": 151646,
|
| 17 |
+
"<|quad_end|>": 151651,
|
| 18 |
+
"<|quad_start|>": 151650,
|
| 19 |
+
"<|repo_name|>": 151663,
|
| 20 |
+
"<|video_pad|>": 151656,
|
| 21 |
+
"<|vision_end|>": 151653,
|
| 22 |
+
"<|vision_pad|>": 151654,
|
| 23 |
+
"<|vision_start|>": 151652
|
| 24 |
+
}
|
checkpoint-40/chat_template.jinja
ADDED
|
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>
|
| 2 |
+
|
| 3 |
+
'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>
|
| 4 |
+
|
| 5 |
+
' }}{% endif %}
|
checkpoint-40/merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-40/special_tokens_map.json
ADDED
|
@@ -0,0 +1,38 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<|im_start|>",
|
| 4 |
+
"<|im_end|>",
|
| 5 |
+
"<|object_ref_start|>",
|
| 6 |
+
"<|object_ref_end|>",
|
| 7 |
+
"<|box_start|>",
|
| 8 |
+
"<|box_end|>",
|
| 9 |
+
"<|quad_start|>",
|
| 10 |
+
"<|quad_end|>",
|
| 11 |
+
"<|vision_start|>",
|
| 12 |
+
"<|vision_end|>",
|
| 13 |
+
"<|vision_pad|>",
|
| 14 |
+
"<|image_pad|>",
|
| 15 |
+
"<|video_pad|>"
|
| 16 |
+
],
|
| 17 |
+
"bos_token": {
|
| 18 |
+
"content": "<|im_end|>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
},
|
| 24 |
+
"eos_token": {
|
| 25 |
+
"content": "<|im_end|>",
|
| 26 |
+
"lstrip": false,
|
| 27 |
+
"normalized": false,
|
| 28 |
+
"rstrip": false,
|
| 29 |
+
"single_word": false
|
| 30 |
+
},
|
| 31 |
+
"pad_token": {
|
| 32 |
+
"content": "<|endoftext|>",
|
| 33 |
+
"lstrip": false,
|
| 34 |
+
"normalized": false,
|
| 35 |
+
"rstrip": false,
|
| 36 |
+
"single_word": false
|
| 37 |
+
}
|
| 38 |
+
}
|
checkpoint-40/tokenizer_config.json
ADDED
|
@@ -0,0 +1,207 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": false,
|
| 3 |
+
"add_prefix_space": false,
|
| 4 |
+
"added_tokens_decoder": {
|
| 5 |
+
"151643": {
|
| 6 |
+
"content": "<|endoftext|>",
|
| 7 |
+
"lstrip": false,
|
| 8 |
+
"normalized": false,
|
| 9 |
+
"rstrip": false,
|
| 10 |
+
"single_word": false,
|
| 11 |
+
"special": true
|
| 12 |
+
},
|
| 13 |
+
"151644": {
|
| 14 |
+
"content": "<|im_start|>",
|
| 15 |
+
"lstrip": false,
|
| 16 |
+
"normalized": false,
|
| 17 |
+
"rstrip": false,
|
| 18 |
+
"single_word": false,
|
| 19 |
+
"special": true
|
| 20 |
+
},
|
| 21 |
+
"151645": {
|
| 22 |
+
"content": "<|im_end|>",
|
| 23 |
+
"lstrip": false,
|
| 24 |
+
"normalized": false,
|
| 25 |
+
"rstrip": false,
|
| 26 |
+
"single_word": false,
|
| 27 |
+
"special": true
|
| 28 |
+
},
|
| 29 |
+
"151646": {
|
| 30 |
+
"content": "<|object_ref_start|>",
|
| 31 |
+
"lstrip": false,
|
| 32 |
+
"normalized": false,
|
| 33 |
+
"rstrip": false,
|
| 34 |
+
"single_word": false,
|
| 35 |
+
"special": true
|
| 36 |
+
},
|
| 37 |
+
"151647": {
|
| 38 |
+
"content": "<|object_ref_end|>",
|
| 39 |
+
"lstrip": false,
|
| 40 |
+
"normalized": false,
|
| 41 |
+
"rstrip": false,
|
| 42 |
+
"single_word": false,
|
| 43 |
+
"special": true
|
| 44 |
+
},
|
| 45 |
+
"151648": {
|
| 46 |
+
"content": "<|box_start|>",
|
| 47 |
+
"lstrip": false,
|
| 48 |
+
"normalized": false,
|
| 49 |
+
"rstrip": false,
|
| 50 |
+
"single_word": false,
|
| 51 |
+
"special": true
|
| 52 |
+
},
|
| 53 |
+
"151649": {
|
| 54 |
+
"content": "<|box_end|>",
|
| 55 |
+
"lstrip": false,
|
| 56 |
+
"normalized": false,
|
| 57 |
+
"rstrip": false,
|
| 58 |
+
"single_word": false,
|
| 59 |
+
"special": true
|
| 60 |
+
},
|
| 61 |
+
"151650": {
|
| 62 |
+
"content": "<|quad_start|>",
|
| 63 |
+
"lstrip": false,
|
| 64 |
+
"normalized": false,
|
| 65 |
+
"rstrip": false,
|
| 66 |
+
"single_word": false,
|
| 67 |
+
"special": true
|
| 68 |
+
},
|
| 69 |
+
"151651": {
|
| 70 |
+
"content": "<|quad_end|>",
|
| 71 |
+
"lstrip": false,
|
| 72 |
+
"normalized": false,
|
| 73 |
+
"rstrip": false,
|
| 74 |
+
"single_word": false,
|
| 75 |
+
"special": true
|
| 76 |
+
},
|
| 77 |
+
"151652": {
|
| 78 |
+
"content": "<|vision_start|>",
|
| 79 |
+
"lstrip": false,
|
| 80 |
+
"normalized": false,
|
| 81 |
+
"rstrip": false,
|
| 82 |
+
"single_word": false,
|
| 83 |
+
"special": true
|
| 84 |
+
},
|
| 85 |
+
"151653": {
|
| 86 |
+
"content": "<|vision_end|>",
|
| 87 |
+
"lstrip": false,
|
| 88 |
+
"normalized": false,
|
| 89 |
+
"rstrip": false,
|
| 90 |
+
"single_word": false,
|
| 91 |
+
"special": true
|
| 92 |
+
},
|
| 93 |
+
"151654": {
|
| 94 |
+
"content": "<|vision_pad|>",
|
| 95 |
+
"lstrip": false,
|
| 96 |
+
"normalized": false,
|
| 97 |
+
"rstrip": false,
|
| 98 |
+
"single_word": false,
|
| 99 |
+
"special": true
|
| 100 |
+
},
|
| 101 |
+
"151655": {
|
| 102 |
+
"content": "<|image_pad|>",
|
| 103 |
+
"lstrip": false,
|
| 104 |
+
"normalized": false,
|
| 105 |
+
"rstrip": false,
|
| 106 |
+
"single_word": false,
|
| 107 |
+
"special": true
|
| 108 |
+
},
|
| 109 |
+
"151656": {
|
| 110 |
+
"content": "<|video_pad|>",
|
| 111 |
+
"lstrip": false,
|
| 112 |
+
"normalized": false,
|
| 113 |
+
"rstrip": false,
|
| 114 |
+
"single_word": false,
|
| 115 |
+
"special": true
|
| 116 |
+
},
|
| 117 |
+
"151657": {
|
| 118 |
+
"content": "<tool_call>",
|
| 119 |
+
"lstrip": false,
|
| 120 |
+
"normalized": false,
|
| 121 |
+
"rstrip": false,
|
| 122 |
+
"single_word": false,
|
| 123 |
+
"special": false
|
| 124 |
+
},
|
| 125 |
+
"151658": {
|
| 126 |
+
"content": "</tool_call>",
|
| 127 |
+
"lstrip": false,
|
| 128 |
+
"normalized": false,
|
| 129 |
+
"rstrip": false,
|
| 130 |
+
"single_word": false,
|
| 131 |
+
"special": false
|
| 132 |
+
},
|
| 133 |
+
"151659": {
|
| 134 |
+
"content": "<|fim_prefix|>",
|
| 135 |
+
"lstrip": false,
|
| 136 |
+
"normalized": false,
|
| 137 |
+
"rstrip": false,
|
| 138 |
+
"single_word": false,
|
| 139 |
+
"special": false
|
| 140 |
+
},
|
| 141 |
+
"151660": {
|
| 142 |
+
"content": "<|fim_middle|>",
|
| 143 |
+
"lstrip": false,
|
| 144 |
+
"normalized": false,
|
| 145 |
+
"rstrip": false,
|
| 146 |
+
"single_word": false,
|
| 147 |
+
"special": false
|
| 148 |
+
},
|
| 149 |
+
"151661": {
|
| 150 |
+
"content": "<|fim_suffix|>",
|
| 151 |
+
"lstrip": false,
|
| 152 |
+
"normalized": false,
|
| 153 |
+
"rstrip": false,
|
| 154 |
+
"single_word": false,
|
| 155 |
+
"special": false
|
| 156 |
+
},
|
| 157 |
+
"151662": {
|
| 158 |
+
"content": "<|fim_pad|>",
|
| 159 |
+
"lstrip": false,
|
| 160 |
+
"normalized": false,
|
| 161 |
+
"rstrip": false,
|
| 162 |
+
"single_word": false,
|
| 163 |
+
"special": false
|
| 164 |
+
},
|
| 165 |
+
"151663": {
|
| 166 |
+
"content": "<|repo_name|>",
|
| 167 |
+
"lstrip": false,
|
| 168 |
+
"normalized": false,
|
| 169 |
+
"rstrip": false,
|
| 170 |
+
"single_word": false,
|
| 171 |
+
"special": false
|
| 172 |
+
},
|
| 173 |
+
"151664": {
|
| 174 |
+
"content": "<|file_sep|>",
|
| 175 |
+
"lstrip": false,
|
| 176 |
+
"normalized": false,
|
| 177 |
+
"rstrip": false,
|
| 178 |
+
"single_word": false,
|
| 179 |
+
"special": false
|
| 180 |
+
}
|
| 181 |
+
},
|
| 182 |
+
"additional_special_tokens": [
|
| 183 |
+
"<|im_start|>",
|
| 184 |
+
"<|im_end|>",
|
| 185 |
+
"<|object_ref_start|>",
|
| 186 |
+
"<|object_ref_end|>",
|
| 187 |
+
"<|box_start|>",
|
| 188 |
+
"<|box_end|>",
|
| 189 |
+
"<|quad_start|>",
|
| 190 |
+
"<|quad_end|>",
|
| 191 |
+
"<|vision_start|>",
|
| 192 |
+
"<|vision_end|>",
|
| 193 |
+
"<|vision_pad|>",
|
| 194 |
+
"<|image_pad|>",
|
| 195 |
+
"<|video_pad|>"
|
| 196 |
+
],
|
| 197 |
+
"bos_token": "<|im_end|>",
|
| 198 |
+
"clean_up_tokenization_spaces": false,
|
| 199 |
+
"eos_token": "<|im_end|>",
|
| 200 |
+
"errors": "replace",
|
| 201 |
+
"extra_special_tokens": {},
|
| 202 |
+
"model_max_length": 131072,
|
| 203 |
+
"pad_token": "<|endoftext|>",
|
| 204 |
+
"split_special_tokens": false,
|
| 205 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 206 |
+
"unk_token": null
|
| 207 |
+
}
|
checkpoint-40/trainer_state.json
ADDED
|
@@ -0,0 +1,1554 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 0.32,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 40,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"clip_ratio/high_max": 0.0,
|
| 14 |
+
"clip_ratio/high_mean": 0.0,
|
| 15 |
+
"clip_ratio/low_mean": 0.0,
|
| 16 |
+
"clip_ratio/low_min": 0.0,
|
| 17 |
+
"clip_ratio/region_mean": 0.0,
|
| 18 |
+
"completions/clipped_ratio": 0.6875,
|
| 19 |
+
"completions/max_length": 1707.0,
|
| 20 |
+
"completions/max_terminated_length": 915.0,
|
| 21 |
+
"completions/mean_length": 812.703125,
|
| 22 |
+
"completions/mean_terminated_length": 386.1499938964844,
|
| 23 |
+
"completions/min_length": 88.0,
|
| 24 |
+
"completions/min_terminated_length": 88.0,
|
| 25 |
+
"entropy": 0.319809939712286,
|
| 26 |
+
"epoch": 0.008,
|
| 27 |
+
"frac_reward_zero_std": 0.0,
|
| 28 |
+
"grad_norm": 0.013934657908976078,
|
| 29 |
+
"kl": 0.0,
|
| 30 |
+
"learning_rate": 0.0,
|
| 31 |
+
"loss": 0.0003,
|
| 32 |
+
"num_tokens": 52013.0,
|
| 33 |
+
"reward": 0.26906251907348633,
|
| 34 |
+
"reward_std": 0.43214160203933716,
|
| 35 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.26906251907348633,
|
| 36 |
+
"rewards/alfworld_rollout_reward_func/std": 0.48894354701042175,
|
| 37 |
+
"rollout/action_tokens_mean": 812.703125,
|
| 38 |
+
"rollout/episode_turns_mean": 25.0625,
|
| 39 |
+
"rollout/mismatch_mean": 0.015625,
|
| 40 |
+
"rollout/mismatch_ratio": 0.015625,
|
| 41 |
+
"rollout/truncated_ratio": 0.6875,
|
| 42 |
+
"sampling/importance_sampling_ratio/max": 2.401656150817871,
|
| 43 |
+
"sampling/importance_sampling_ratio/mean": 0.5413336753845215,
|
| 44 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 45 |
+
"sampling/sampling_logp_difference/max": 2.9913136959075928,
|
| 46 |
+
"sampling/sampling_logp_difference/mean": 0.020846465602517128,
|
| 47 |
+
"step": 1,
|
| 48 |
+
"step_time": 340.2447626780008
|
| 49 |
+
},
|
| 50 |
+
{
|
| 51 |
+
"clip_ratio/high_max": 0.0,
|
| 52 |
+
"clip_ratio/high_mean": 0.0,
|
| 53 |
+
"clip_ratio/low_mean": 0.0,
|
| 54 |
+
"clip_ratio/low_min": 0.0,
|
| 55 |
+
"clip_ratio/region_mean": 0.0,
|
| 56 |
+
"completions/clipped_ratio": 0.765625,
|
| 57 |
+
"completions/max_length": 1338.0,
|
| 58 |
+
"completions/max_terminated_length": 912.0,
|
| 59 |
+
"completions/mean_length": 822.90625,
|
| 60 |
+
"completions/mean_terminated_length": 481.0000305175781,
|
| 61 |
+
"completions/min_length": 240.0,
|
| 62 |
+
"completions/min_terminated_length": 240.0,
|
| 63 |
+
"entropy": 0.33951753890141845,
|
| 64 |
+
"epoch": 0.016,
|
| 65 |
+
"frac_reward_zero_std": 0.0,
|
| 66 |
+
"grad_norm": 0.005984712392091751,
|
| 67 |
+
"kl": 0.0,
|
| 68 |
+
"learning_rate": 2.5e-06,
|
| 69 |
+
"loss": 0.0064,
|
| 70 |
+
"num_tokens": 104679.0,
|
| 71 |
+
"reward": 0.1837500035762787,
|
| 72 |
+
"reward_std": 0.37211528420448303,
|
| 73 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.1837500035762787,
|
| 74 |
+
"rewards/alfworld_rollout_reward_func/std": 0.44909608364105225,
|
| 75 |
+
"rollout/action_tokens_mean": 822.90625,
|
| 76 |
+
"rollout/episode_turns_mean": 26.75,
|
| 77 |
+
"rollout/mismatch_mean": 0.0,
|
| 78 |
+
"rollout/mismatch_ratio": 0.0,
|
| 79 |
+
"rollout/truncated_ratio": 0.765625,
|
| 80 |
+
"sampling/importance_sampling_ratio/max": 2.0904664993286133,
|
| 81 |
+
"sampling/importance_sampling_ratio/mean": 0.30532318353652954,
|
| 82 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 83 |
+
"sampling/sampling_logp_difference/max": 2.2203328609466553,
|
| 84 |
+
"sampling/sampling_logp_difference/mean": 0.021448608487844467,
|
| 85 |
+
"step": 2,
|
| 86 |
+
"step_time": 376.3160819019986
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"clip_ratio/high_max": 0.0,
|
| 90 |
+
"clip_ratio/high_mean": 0.0,
|
| 91 |
+
"clip_ratio/low_mean": 0.0,
|
| 92 |
+
"clip_ratio/low_min": 0.0,
|
| 93 |
+
"clip_ratio/region_mean": 0.0,
|
| 94 |
+
"completions/clipped_ratio": 0.75,
|
| 95 |
+
"completions/max_length": 1253.0,
|
| 96 |
+
"completions/max_terminated_length": 680.0,
|
| 97 |
+
"completions/mean_length": 735.65625,
|
| 98 |
+
"completions/mean_terminated_length": 380.5,
|
| 99 |
+
"completions/min_length": 145.0,
|
| 100 |
+
"completions/min_terminated_length": 145.0,
|
| 101 |
+
"entropy": 0.32836992759257555,
|
| 102 |
+
"epoch": 0.024,
|
| 103 |
+
"frac_reward_zero_std": 0.0,
|
| 104 |
+
"grad_norm": 0.0066122072748839855,
|
| 105 |
+
"kl": 0.001546632844110718,
|
| 106 |
+
"learning_rate": 5e-06,
|
| 107 |
+
"loss": 0.0026,
|
| 108 |
+
"num_tokens": 151761.0,
|
| 109 |
+
"reward": 0.21156249940395355,
|
| 110 |
+
"reward_std": 0.2755644917488098,
|
| 111 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.21156249940395355,
|
| 112 |
+
"rewards/alfworld_rollout_reward_func/std": 0.44746631383895874,
|
| 113 |
+
"rollout/action_tokens_mean": 735.65625,
|
| 114 |
+
"rollout/episode_turns_mean": 26.03125,
|
| 115 |
+
"rollout/mismatch_mean": 0.0,
|
| 116 |
+
"rollout/mismatch_ratio": 0.0,
|
| 117 |
+
"rollout/truncated_ratio": 0.75,
|
| 118 |
+
"sampling/importance_sampling_ratio/max": 2.4706838130950928,
|
| 119 |
+
"sampling/importance_sampling_ratio/mean": 0.5484369993209839,
|
| 120 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 121 |
+
"sampling/sampling_logp_difference/max": 1.5531697273254395,
|
| 122 |
+
"sampling/sampling_logp_difference/mean": 0.020412152633070946,
|
| 123 |
+
"step": 3,
|
| 124 |
+
"step_time": 359.0840177950013
|
| 125 |
+
},
|
| 126 |
+
{
|
| 127 |
+
"clip_ratio/high_max": 0.0,
|
| 128 |
+
"clip_ratio/high_mean": 0.0,
|
| 129 |
+
"clip_ratio/low_mean": 0.0,
|
| 130 |
+
"clip_ratio/low_min": 0.0,
|
| 131 |
+
"clip_ratio/region_mean": 0.0,
|
| 132 |
+
"completions/clipped_ratio": 0.546875,
|
| 133 |
+
"completions/max_length": 1880.0,
|
| 134 |
+
"completions/max_terminated_length": 807.0,
|
| 135 |
+
"completions/mean_length": 721.78125,
|
| 136 |
+
"completions/mean_terminated_length": 425.72412109375,
|
| 137 |
+
"completions/min_length": 112.0,
|
| 138 |
+
"completions/min_terminated_length": 112.0,
|
| 139 |
+
"entropy": 0.3564013452269137,
|
| 140 |
+
"epoch": 0.032,
|
| 141 |
+
"frac_reward_zero_std": 0.0,
|
| 142 |
+
"grad_norm": 0.00901270005851984,
|
| 143 |
+
"kl": 0.001597001251866459,
|
| 144 |
+
"learning_rate": 4.996791267927632e-06,
|
| 145 |
+
"loss": 0.0123,
|
| 146 |
+
"num_tokens": 197955.0,
|
| 147 |
+
"reward": 0.40953126549720764,
|
| 148 |
+
"reward_std": 0.48288512229919434,
|
| 149 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.40953126549720764,
|
| 150 |
+
"rewards/alfworld_rollout_reward_func/std": 0.5298889875411987,
|
| 151 |
+
"rollout/action_tokens_mean": 721.78125,
|
| 152 |
+
"rollout/episode_turns_mean": 22.859375,
|
| 153 |
+
"rollout/mismatch_mean": 0.015625,
|
| 154 |
+
"rollout/mismatch_ratio": 0.015625,
|
| 155 |
+
"rollout/truncated_ratio": 0.546875,
|
| 156 |
+
"sampling/importance_sampling_ratio/max": 2.607266664505005,
|
| 157 |
+
"sampling/importance_sampling_ratio/mean": 0.5041748881340027,
|
| 158 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 159 |
+
"sampling/sampling_logp_difference/max": 3.2973906993865967,
|
| 160 |
+
"sampling/sampling_logp_difference/mean": 0.022099550813436508,
|
| 161 |
+
"step": 4,
|
| 162 |
+
"step_time": 324.93751245399835
|
| 163 |
+
},
|
| 164 |
+
{
|
| 165 |
+
"clip_ratio/high_max": 0.0,
|
| 166 |
+
"clip_ratio/high_mean": 0.0,
|
| 167 |
+
"clip_ratio/low_mean": 0.0,
|
| 168 |
+
"clip_ratio/low_min": 0.0,
|
| 169 |
+
"clip_ratio/region_mean": 0.0,
|
| 170 |
+
"completions/clipped_ratio": 0.6875,
|
| 171 |
+
"completions/max_length": 1772.0,
|
| 172 |
+
"completions/max_terminated_length": 1135.0,
|
| 173 |
+
"completions/mean_length": 823.984375,
|
| 174 |
+
"completions/mean_terminated_length": 511.25,
|
| 175 |
+
"completions/min_length": 238.0,
|
| 176 |
+
"completions/min_terminated_length": 238.0,
|
| 177 |
+
"entropy": 0.37002173252403736,
|
| 178 |
+
"epoch": 0.04,
|
| 179 |
+
"frac_reward_zero_std": 0.0,
|
| 180 |
+
"grad_norm": 0.006255371496081352,
|
| 181 |
+
"kl": 0.0018659899324120488,
|
| 182 |
+
"learning_rate": 4.987173308479738e-06,
|
| 183 |
+
"loss": -0.0049,
|
| 184 |
+
"num_tokens": 250690.0,
|
| 185 |
+
"reward": 0.2629687488079071,
|
| 186 |
+
"reward_std": 0.3148724138736725,
|
| 187 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.2629687786102295,
|
| 188 |
+
"rewards/alfworld_rollout_reward_func/std": 0.48142871260643005,
|
| 189 |
+
"rollout/action_tokens_mean": 823.984375,
|
| 190 |
+
"rollout/episode_turns_mean": 25.65625,
|
| 191 |
+
"rollout/mismatch_mean": 0.0,
|
| 192 |
+
"rollout/mismatch_ratio": 0.0,
|
| 193 |
+
"rollout/truncated_ratio": 0.6875,
|
| 194 |
+
"sampling/importance_sampling_ratio/max": 2.4376842975616455,
|
| 195 |
+
"sampling/importance_sampling_ratio/mean": 0.3966376781463623,
|
| 196 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 197 |
+
"sampling/sampling_logp_difference/max": 1.3790063858032227,
|
| 198 |
+
"sampling/sampling_logp_difference/mean": 0.022958241403102875,
|
| 199 |
+
"step": 5,
|
| 200 |
+
"step_time": 428.7077085350011
|
| 201 |
+
},
|
| 202 |
+
{
|
| 203 |
+
"clip_ratio/high_max": 0.0,
|
| 204 |
+
"clip_ratio/high_mean": 0.0,
|
| 205 |
+
"clip_ratio/low_mean": 0.0,
|
| 206 |
+
"clip_ratio/low_min": 0.0,
|
| 207 |
+
"clip_ratio/region_mean": 0.0,
|
| 208 |
+
"completions/clipped_ratio": 0.546875,
|
| 209 |
+
"completions/max_length": 1754.0,
|
| 210 |
+
"completions/max_terminated_length": 1081.0,
|
| 211 |
+
"completions/mean_length": 778.265625,
|
| 212 |
+
"completions/mean_terminated_length": 513.0689697265625,
|
| 213 |
+
"completions/min_length": 89.0,
|
| 214 |
+
"completions/min_terminated_length": 89.0,
|
| 215 |
+
"entropy": 0.33683515526354313,
|
| 216 |
+
"epoch": 0.048,
|
| 217 |
+
"frac_reward_zero_std": 0.0,
|
| 218 |
+
"grad_norm": 0.014856722205877304,
|
| 219 |
+
"kl": 0.0018188257581641665,
|
| 220 |
+
"learning_rate": 4.971170810820279e-06,
|
| 221 |
+
"loss": 0.0284,
|
| 222 |
+
"num_tokens": 300499.0,
|
| 223 |
+
"reward": 0.4112499952316284,
|
| 224 |
+
"reward_std": 0.4292137622833252,
|
| 225 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.4112499952316284,
|
| 226 |
+
"rewards/alfworld_rollout_reward_func/std": 0.5246087312698364,
|
| 227 |
+
"rollout/action_tokens_mean": 778.265625,
|
| 228 |
+
"rollout/episode_turns_mean": 24.0,
|
| 229 |
+
"rollout/mismatch_mean": 0.0,
|
| 230 |
+
"rollout/mismatch_ratio": 0.0,
|
| 231 |
+
"rollout/truncated_ratio": 0.546875,
|
| 232 |
+
"sampling/importance_sampling_ratio/max": 2.469376802444458,
|
| 233 |
+
"sampling/importance_sampling_ratio/mean": 0.41494274139404297,
|
| 234 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 235 |
+
"sampling/sampling_logp_difference/max": 2.5756630897521973,
|
| 236 |
+
"sampling/sampling_logp_difference/mean": 0.020635541528463364,
|
| 237 |
+
"step": 6,
|
| 238 |
+
"step_time": 329.3498830619992
|
| 239 |
+
},
|
| 240 |
+
{
|
| 241 |
+
"clip_ratio/high_max": 0.0,
|
| 242 |
+
"clip_ratio/high_mean": 0.0,
|
| 243 |
+
"clip_ratio/low_mean": 0.0,
|
| 244 |
+
"clip_ratio/low_min": 0.0,
|
| 245 |
+
"clip_ratio/region_mean": 0.0,
|
| 246 |
+
"completions/clipped_ratio": 0.765625,
|
| 247 |
+
"completions/max_length": 1750.0,
|
| 248 |
+
"completions/max_terminated_length": 882.0,
|
| 249 |
+
"completions/mean_length": 834.359375,
|
| 250 |
+
"completions/mean_terminated_length": 538.4000244140625,
|
| 251 |
+
"completions/min_length": 142.0,
|
| 252 |
+
"completions/min_terminated_length": 142.0,
|
| 253 |
+
"entropy": 0.37804630119353533,
|
| 254 |
+
"epoch": 0.056,
|
| 255 |
+
"frac_reward_zero_std": 0.0,
|
| 256 |
+
"grad_norm": 0.011092925444245338,
|
| 257 |
+
"kl": 0.0017349459521938115,
|
| 258 |
+
"learning_rate": 4.948824853131237e-06,
|
| 259 |
+
"loss": 0.0135,
|
| 260 |
+
"num_tokens": 353898.0,
|
| 261 |
+
"reward": 0.1875,
|
| 262 |
+
"reward_std": 0.41170334815979004,
|
| 263 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.1875,
|
| 264 |
+
"rewards/alfworld_rollout_reward_func/std": 0.4403570294380188,
|
| 265 |
+
"rollout/action_tokens_mean": 834.359375,
|
| 266 |
+
"rollout/episode_turns_mean": 27.0625,
|
| 267 |
+
"rollout/mismatch_mean": 0.015625,
|
| 268 |
+
"rollout/mismatch_ratio": 0.015625,
|
| 269 |
+
"rollout/truncated_ratio": 0.765625,
|
| 270 |
+
"sampling/importance_sampling_ratio/max": 2.2279603481292725,
|
| 271 |
+
"sampling/importance_sampling_ratio/mean": 0.46820664405822754,
|
| 272 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 273 |
+
"sampling/sampling_logp_difference/max": 3.733177900314331,
|
| 274 |
+
"sampling/sampling_logp_difference/mean": 0.022584954276680946,
|
| 275 |
+
"step": 7,
|
| 276 |
+
"step_time": 372.10799923799914
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"clip_ratio/high_max": 0.0,
|
| 280 |
+
"clip_ratio/high_mean": 0.0,
|
| 281 |
+
"clip_ratio/low_mean": 0.0,
|
| 282 |
+
"clip_ratio/low_min": 0.0,
|
| 283 |
+
"clip_ratio/region_mean": 0.0,
|
| 284 |
+
"completions/clipped_ratio": 0.765625,
|
| 285 |
+
"completions/max_length": 1682.0,
|
| 286 |
+
"completions/max_terminated_length": 697.0,
|
| 287 |
+
"completions/mean_length": 786.5625,
|
| 288 |
+
"completions/mean_terminated_length": 380.8000183105469,
|
| 289 |
+
"completions/min_length": 180.0,
|
| 290 |
+
"completions/min_terminated_length": 180.0,
|
| 291 |
+
"entropy": 0.32334376219660044,
|
| 292 |
+
"epoch": 0.064,
|
| 293 |
+
"frac_reward_zero_std": 0.0,
|
| 294 |
+
"grad_norm": 0.010468119755387306,
|
| 295 |
+
"kl": 0.0017176041819766397,
|
| 296 |
+
"learning_rate": 4.920192797165511e-06,
|
| 297 |
+
"loss": -0.0059,
|
| 298 |
+
"num_tokens": 404238.0,
|
| 299 |
+
"reward": 0.1939062476158142,
|
| 300 |
+
"reward_std": 0.31658345460891724,
|
| 301 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.1939062476158142,
|
| 302 |
+
"rewards/alfworld_rollout_reward_func/std": 0.44521304965019226,
|
| 303 |
+
"rollout/action_tokens_mean": 786.5625,
|
| 304 |
+
"rollout/episode_turns_mean": 25.984375,
|
| 305 |
+
"rollout/mismatch_mean": 0.0,
|
| 306 |
+
"rollout/mismatch_ratio": 0.0,
|
| 307 |
+
"rollout/truncated_ratio": 0.765625,
|
| 308 |
+
"sampling/importance_sampling_ratio/max": 2.8437609672546387,
|
| 309 |
+
"sampling/importance_sampling_ratio/mean": 0.6038376092910767,
|
| 310 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 311 |
+
"sampling/sampling_logp_difference/max": 2.8486413955688477,
|
| 312 |
+
"sampling/sampling_logp_difference/mean": 0.0203598253428936,
|
| 313 |
+
"step": 8,
|
| 314 |
+
"step_time": 434.73393120799847
|
| 315 |
+
},
|
| 316 |
+
{
|
| 317 |
+
"clip_ratio/high_max": 0.0,
|
| 318 |
+
"clip_ratio/high_mean": 0.0,
|
| 319 |
+
"clip_ratio/low_mean": 0.0,
|
| 320 |
+
"clip_ratio/low_min": 0.0,
|
| 321 |
+
"clip_ratio/region_mean": 0.0,
|
| 322 |
+
"completions/clipped_ratio": 0.75,
|
| 323 |
+
"completions/max_length": 1492.0,
|
| 324 |
+
"completions/max_terminated_length": 1027.0,
|
| 325 |
+
"completions/mean_length": 818.34375,
|
| 326 |
+
"completions/mean_terminated_length": 474.0625,
|
| 327 |
+
"completions/min_length": 192.0,
|
| 328 |
+
"completions/min_terminated_length": 192.0,
|
| 329 |
+
"entropy": 0.32139473129063845,
|
| 330 |
+
"epoch": 0.072,
|
| 331 |
+
"frac_reward_zero_std": 0.0,
|
| 332 |
+
"grad_norm": 0.006268487311899662,
|
| 333 |
+
"kl": 0.0026504553206905257,
|
| 334 |
+
"learning_rate": 4.8853481410001225e-06,
|
| 335 |
+
"loss": -0.0089,
|
| 336 |
+
"num_tokens": 456612.0,
|
| 337 |
+
"reward": 0.19500000774860382,
|
| 338 |
+
"reward_std": 0.29811495542526245,
|
| 339 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.19500000774860382,
|
| 340 |
+
"rewards/alfworld_rollout_reward_func/std": 0.46079298853874207,
|
| 341 |
+
"rollout/action_tokens_mean": 818.34375,
|
| 342 |
+
"rollout/episode_turns_mean": 26.109375,
|
| 343 |
+
"rollout/mismatch_mean": 0.0,
|
| 344 |
+
"rollout/mismatch_ratio": 0.0,
|
| 345 |
+
"rollout/truncated_ratio": 0.75,
|
| 346 |
+
"sampling/importance_sampling_ratio/max": 2.6596250534057617,
|
| 347 |
+
"sampling/importance_sampling_ratio/mean": 0.42990007996559143,
|
| 348 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 349 |
+
"sampling/sampling_logp_difference/max": 3.3629698753356934,
|
| 350 |
+
"sampling/sampling_logp_difference/mean": 0.019470183178782463,
|
| 351 |
+
"step": 9,
|
| 352 |
+
"step_time": 399.7356371579963
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"clip_ratio/high_max": 0.0,
|
| 356 |
+
"clip_ratio/high_mean": 0.0,
|
| 357 |
+
"clip_ratio/low_mean": 0.0,
|
| 358 |
+
"clip_ratio/low_min": 0.0,
|
| 359 |
+
"clip_ratio/region_mean": 0.0,
|
| 360 |
+
"completions/clipped_ratio": 0.59375,
|
| 361 |
+
"completions/max_length": 1381.0,
|
| 362 |
+
"completions/max_terminated_length": 1015.0,
|
| 363 |
+
"completions/mean_length": 710.296875,
|
| 364 |
+
"completions/mean_terminated_length": 485.5384826660156,
|
| 365 |
+
"completions/min_length": 193.0,
|
| 366 |
+
"completions/min_terminated_length": 193.0,
|
| 367 |
+
"entropy": 0.34738565888255835,
|
| 368 |
+
"epoch": 0.08,
|
| 369 |
+
"frac_reward_zero_std": 0.0,
|
| 370 |
+
"grad_norm": 0.010129230096936226,
|
| 371 |
+
"kl": 0.0015055066687637009,
|
| 372 |
+
"learning_rate": 4.844380330367701e-06,
|
| 373 |
+
"loss": 0.0042,
|
| 374 |
+
"num_tokens": 502071.0,
|
| 375 |
+
"reward": 0.3684375286102295,
|
| 376 |
+
"reward_std": 0.3336261808872223,
|
| 377 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.3684375286102295,
|
| 378 |
+
"rewards/alfworld_rollout_reward_func/std": 0.5042713284492493,
|
| 379 |
+
"rollout/action_tokens_mean": 710.296875,
|
| 380 |
+
"rollout/episode_turns_mean": 24.859375,
|
| 381 |
+
"rollout/mismatch_mean": 0.015625,
|
| 382 |
+
"rollout/mismatch_ratio": 0.015625,
|
| 383 |
+
"rollout/truncated_ratio": 0.59375,
|
| 384 |
+
"sampling/importance_sampling_ratio/max": 2.386782646179199,
|
| 385 |
+
"sampling/importance_sampling_ratio/mean": 0.5169863104820251,
|
| 386 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 387 |
+
"sampling/sampling_logp_difference/max": 3.2723636627197266,
|
| 388 |
+
"sampling/sampling_logp_difference/mean": 0.022041790187358856,
|
| 389 |
+
"step": 10,
|
| 390 |
+
"step_time": 394.5470729360013
|
| 391 |
+
},
|
| 392 |
+
{
|
| 393 |
+
"clip_ratio/high_max": 0.0,
|
| 394 |
+
"clip_ratio/high_mean": 0.0,
|
| 395 |
+
"clip_ratio/low_mean": 0.0,
|
| 396 |
+
"clip_ratio/low_min": 0.0,
|
| 397 |
+
"clip_ratio/region_mean": 0.0,
|
| 398 |
+
"completions/clipped_ratio": 0.859375,
|
| 399 |
+
"completions/max_length": 1352.0,
|
| 400 |
+
"completions/max_terminated_length": 782.0,
|
| 401 |
+
"completions/mean_length": 881.84375,
|
| 402 |
+
"completions/mean_terminated_length": 523.4444580078125,
|
| 403 |
+
"completions/min_length": 224.0,
|
| 404 |
+
"completions/min_terminated_length": 224.0,
|
| 405 |
+
"entropy": 0.3616171991452575,
|
| 406 |
+
"epoch": 0.088,
|
| 407 |
+
"frac_reward_zero_std": 0.0,
|
| 408 |
+
"grad_norm": 0.00803722906857729,
|
| 409 |
+
"kl": 0.0017023698201228399,
|
| 410 |
+
"learning_rate": 4.797394529050577e-06,
|
| 411 |
+
"loss": 0.0111,
|
| 412 |
+
"num_tokens": 558509.0,
|
| 413 |
+
"reward": 0.08921875059604645,
|
| 414 |
+
"reward_std": 0.2777005434036255,
|
| 415 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.08921875059604645,
|
| 416 |
+
"rewards/alfworld_rollout_reward_func/std": 0.36485835909843445,
|
| 417 |
+
"rollout/action_tokens_mean": 881.84375,
|
| 418 |
+
"rollout/episode_turns_mean": 28.40625,
|
| 419 |
+
"rollout/mismatch_mean": 0.0,
|
| 420 |
+
"rollout/mismatch_ratio": 0.0,
|
| 421 |
+
"rollout/truncated_ratio": 0.859375,
|
| 422 |
+
"sampling/importance_sampling_ratio/max": 2.7719504833221436,
|
| 423 |
+
"sampling/importance_sampling_ratio/mean": 0.4752790629863739,
|
| 424 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 425 |
+
"sampling/sampling_logp_difference/max": 3.038581132888794,
|
| 426 |
+
"sampling/sampling_logp_difference/mean": 0.02142297849059105,
|
| 427 |
+
"step": 11,
|
| 428 |
+
"step_time": 396.1487058620023
|
| 429 |
+
},
|
| 430 |
+
{
|
| 431 |
+
"clip_ratio/high_max": 0.0,
|
| 432 |
+
"clip_ratio/high_mean": 0.0,
|
| 433 |
+
"clip_ratio/low_mean": 0.0,
|
| 434 |
+
"clip_ratio/low_min": 0.0,
|
| 435 |
+
"clip_ratio/region_mean": 0.0,
|
| 436 |
+
"completions/clipped_ratio": 0.671875,
|
| 437 |
+
"completions/max_length": 2292.0,
|
| 438 |
+
"completions/max_terminated_length": 901.0,
|
| 439 |
+
"completions/mean_length": 860.28125,
|
| 440 |
+
"completions/mean_terminated_length": 460.76190185546875,
|
| 441 |
+
"completions/min_length": 116.0,
|
| 442 |
+
"completions/min_terminated_length": 116.0,
|
| 443 |
+
"entropy": 0.35516145126894116,
|
| 444 |
+
"epoch": 0.096,
|
| 445 |
+
"frac_reward_zero_std": 0.0,
|
| 446 |
+
"grad_norm": 0.011235510930418968,
|
| 447 |
+
"kl": 0.0016268756971840048,
|
| 448 |
+
"learning_rate": 4.744511348926855e-06,
|
| 449 |
+
"loss": 0.0048,
|
| 450 |
+
"num_tokens": 613567.0,
|
| 451 |
+
"reward": 0.26890623569488525,
|
| 452 |
+
"reward_std": 0.41516801714897156,
|
| 453 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.26890626549720764,
|
| 454 |
+
"rewards/alfworld_rollout_reward_func/std": 0.4936746656894684,
|
| 455 |
+
"rollout/action_tokens_mean": 860.28125,
|
| 456 |
+
"rollout/episode_turns_mean": 25.484375,
|
| 457 |
+
"rollout/mismatch_mean": 0.0,
|
| 458 |
+
"rollout/mismatch_ratio": 0.0,
|
| 459 |
+
"rollout/truncated_ratio": 0.671875,
|
| 460 |
+
"sampling/importance_sampling_ratio/max": 2.7596683502197266,
|
| 461 |
+
"sampling/importance_sampling_ratio/mean": 0.5103189945220947,
|
| 462 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 463 |
+
"sampling/sampling_logp_difference/max": 2.6376895904541016,
|
| 464 |
+
"sampling/sampling_logp_difference/mean": 0.02156790718436241,
|
| 465 |
+
"step": 12,
|
| 466 |
+
"step_time": 421.574981908002
|
| 467 |
+
},
|
| 468 |
+
{
|
| 469 |
+
"clip_ratio/high_max": 0.0,
|
| 470 |
+
"clip_ratio/high_mean": 0.0,
|
| 471 |
+
"clip_ratio/low_mean": 0.0,
|
| 472 |
+
"clip_ratio/low_min": 0.0,
|
| 473 |
+
"clip_ratio/region_mean": 0.0,
|
| 474 |
+
"completions/clipped_ratio": 0.8125,
|
| 475 |
+
"completions/max_length": 1382.0,
|
| 476 |
+
"completions/max_terminated_length": 775.0,
|
| 477 |
+
"completions/mean_length": 836.53125,
|
| 478 |
+
"completions/mean_terminated_length": 586.4166870117188,
|
| 479 |
+
"completions/min_length": 402.0,
|
| 480 |
+
"completions/min_terminated_length": 402.0,
|
| 481 |
+
"entropy": 0.35410969890654087,
|
| 482 |
+
"epoch": 0.104,
|
| 483 |
+
"frac_reward_zero_std": 0.0,
|
| 484 |
+
"grad_norm": 0.010335148312151432,
|
| 485 |
+
"kl": 0.0018077169770549517,
|
| 486 |
+
"learning_rate": 4.685866540361456e-06,
|
| 487 |
+
"loss": 0.0068,
|
| 488 |
+
"num_tokens": 667105.0,
|
| 489 |
+
"reward": 0.14281249046325684,
|
| 490 |
+
"reward_std": 0.3198840916156769,
|
| 491 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.14281249046325684,
|
| 492 |
+
"rewards/alfworld_rollout_reward_func/std": 0.3984073996543884,
|
| 493 |
+
"rollout/action_tokens_mean": 836.53125,
|
| 494 |
+
"rollout/episode_turns_mean": 28.453125,
|
| 495 |
+
"rollout/mismatch_mean": 0.0,
|
| 496 |
+
"rollout/mismatch_ratio": 0.0,
|
| 497 |
+
"rollout/truncated_ratio": 0.8125,
|
| 498 |
+
"sampling/importance_sampling_ratio/max": 2.6870784759521484,
|
| 499 |
+
"sampling/importance_sampling_ratio/mean": 0.6008636951446533,
|
| 500 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 501 |
+
"sampling/sampling_logp_difference/max": 2.14093017578125,
|
| 502 |
+
"sampling/sampling_logp_difference/mean": 0.021617209538817406,
|
| 503 |
+
"step": 13,
|
| 504 |
+
"step_time": 369.507772967002
|
| 505 |
+
},
|
| 506 |
+
{
|
| 507 |
+
"clip_ratio/high_max": 0.0,
|
| 508 |
+
"clip_ratio/high_mean": 0.0,
|
| 509 |
+
"clip_ratio/low_mean": 0.0,
|
| 510 |
+
"clip_ratio/low_min": 0.0,
|
| 511 |
+
"clip_ratio/region_mean": 0.0,
|
| 512 |
+
"completions/clipped_ratio": 0.6875,
|
| 513 |
+
"completions/max_length": 1584.0,
|
| 514 |
+
"completions/max_terminated_length": 1063.0,
|
| 515 |
+
"completions/mean_length": 793.703125,
|
| 516 |
+
"completions/mean_terminated_length": 525.4500122070312,
|
| 517 |
+
"completions/min_length": 158.0,
|
| 518 |
+
"completions/min_terminated_length": 158.0,
|
| 519 |
+
"entropy": 0.34002805408090353,
|
| 520 |
+
"epoch": 0.112,
|
| 521 |
+
"frac_reward_zero_std": 0.0,
|
| 522 |
+
"grad_norm": 0.00711849657818675,
|
| 523 |
+
"kl": 0.0019163258293701801,
|
| 524 |
+
"learning_rate": 4.621610643736878e-06,
|
| 525 |
+
"loss": 0.0062,
|
| 526 |
+
"num_tokens": 717902.0,
|
| 527 |
+
"reward": 0.2626562714576721,
|
| 528 |
+
"reward_std": 0.3680095076560974,
|
| 529 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.26265624165534973,
|
| 530 |
+
"rewards/alfworld_rollout_reward_func/std": 0.489940881729126,
|
| 531 |
+
"rollout/action_tokens_mean": 793.703125,
|
| 532 |
+
"rollout/episode_turns_mean": 26.28125,
|
| 533 |
+
"rollout/mismatch_mean": 0.0,
|
| 534 |
+
"rollout/mismatch_ratio": 0.0,
|
| 535 |
+
"rollout/truncated_ratio": 0.6875,
|
| 536 |
+
"sampling/importance_sampling_ratio/max": 2.815065860748291,
|
| 537 |
+
"sampling/importance_sampling_ratio/mean": 0.45154738426208496,
|
| 538 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 539 |
+
"sampling/sampling_logp_difference/max": 2.7529265880584717,
|
| 540 |
+
"sampling/sampling_logp_difference/mean": 0.0205212514847517,
|
| 541 |
+
"step": 14,
|
| 542 |
+
"step_time": 327.6827599140015
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"clip_ratio/high_max": 0.0,
|
| 546 |
+
"clip_ratio/high_mean": 0.0,
|
| 547 |
+
"clip_ratio/low_mean": 0.0,
|
| 548 |
+
"clip_ratio/low_min": 0.0,
|
| 549 |
+
"clip_ratio/region_mean": 0.0,
|
| 550 |
+
"completions/clipped_ratio": 0.84375,
|
| 551 |
+
"completions/max_length": 1814.0,
|
| 552 |
+
"completions/max_terminated_length": 890.0,
|
| 553 |
+
"completions/mean_length": 909.109375,
|
| 554 |
+
"completions/mean_terminated_length": 528.7999877929688,
|
| 555 |
+
"completions/min_length": 242.0,
|
| 556 |
+
"completions/min_terminated_length": 242.0,
|
| 557 |
+
"entropy": 0.35556588135659695,
|
| 558 |
+
"epoch": 0.12,
|
| 559 |
+
"frac_reward_zero_std": 0.0,
|
| 560 |
+
"grad_norm": 0.010462122038006783,
|
| 561 |
+
"kl": 0.0016676104332873365,
|
| 562 |
+
"learning_rate": 4.551908603018191e-06,
|
| 563 |
+
"loss": -0.0076,
|
| 564 |
+
"num_tokens": 776085.0,
|
| 565 |
+
"reward": 0.10140626132488251,
|
| 566 |
+
"reward_std": 0.36953580379486084,
|
| 567 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.10140625387430191,
|
| 568 |
+
"rewards/alfworld_rollout_reward_func/std": 0.38891327381134033,
|
| 569 |
+
"rollout/action_tokens_mean": 909.109375,
|
| 570 |
+
"rollout/episode_turns_mean": 28.0,
|
| 571 |
+
"rollout/mismatch_mean": 0.015625,
|
| 572 |
+
"rollout/mismatch_ratio": 0.015625,
|
| 573 |
+
"rollout/truncated_ratio": 0.84375,
|
| 574 |
+
"sampling/importance_sampling_ratio/max": 2.0437681674957275,
|
| 575 |
+
"sampling/importance_sampling_ratio/mean": 0.3665631115436554,
|
| 576 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 577 |
+
"sampling/sampling_logp_difference/max": 4.642125606536865,
|
| 578 |
+
"sampling/sampling_logp_difference/mean": 0.021498428657650948,
|
| 579 |
+
"step": 15,
|
| 580 |
+
"step_time": 409.45475878100024
|
| 581 |
+
},
|
| 582 |
+
{
|
| 583 |
+
"clip_ratio/high_max": 0.0,
|
| 584 |
+
"clip_ratio/high_mean": 0.0,
|
| 585 |
+
"clip_ratio/low_mean": 0.0,
|
| 586 |
+
"clip_ratio/low_min": 0.0,
|
| 587 |
+
"clip_ratio/region_mean": 0.0,
|
| 588 |
+
"completions/clipped_ratio": 0.703125,
|
| 589 |
+
"completions/max_length": 2069.0,
|
| 590 |
+
"completions/max_terminated_length": 815.0,
|
| 591 |
+
"completions/mean_length": 858.484375,
|
| 592 |
+
"completions/mean_terminated_length": 363.0,
|
| 593 |
+
"completions/min_length": 128.0,
|
| 594 |
+
"completions/min_terminated_length": 128.0,
|
| 595 |
+
"entropy": 0.3426384939812124,
|
| 596 |
+
"epoch": 0.128,
|
| 597 |
+
"frac_reward_zero_std": 0.0,
|
| 598 |
+
"grad_norm": 0.007739651948213577,
|
| 599 |
+
"kl": 0.0015719706807431066,
|
| 600 |
+
"learning_rate": 4.476939342344246e-06,
|
| 601 |
+
"loss": -0.002,
|
| 602 |
+
"num_tokens": 831028.0,
|
| 603 |
+
"reward": 0.2515625059604645,
|
| 604 |
+
"reward_std": 0.4047408103942871,
|
| 605 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.2515625059604645,
|
| 606 |
+
"rewards/alfworld_rollout_reward_func/std": 0.48498478531837463,
|
| 607 |
+
"rollout/action_tokens_mean": 858.484375,
|
| 608 |
+
"rollout/episode_turns_mean": 25.015625,
|
| 609 |
+
"rollout/mismatch_mean": 0.0,
|
| 610 |
+
"rollout/mismatch_ratio": 0.0,
|
| 611 |
+
"rollout/truncated_ratio": 0.703125,
|
| 612 |
+
"sampling/importance_sampling_ratio/max": 2.197270631790161,
|
| 613 |
+
"sampling/importance_sampling_ratio/mean": 0.3564271330833435,
|
| 614 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 615 |
+
"sampling/sampling_logp_difference/max": 1.3733601570129395,
|
| 616 |
+
"sampling/sampling_logp_difference/mean": 0.021193569526076317,
|
| 617 |
+
"step": 16,
|
| 618 |
+
"step_time": 341.3529842470016
|
| 619 |
+
},
|
| 620 |
+
{
|
| 621 |
+
"clip_ratio/high_max": 0.0,
|
| 622 |
+
"clip_ratio/high_mean": 0.0,
|
| 623 |
+
"clip_ratio/low_mean": 0.0,
|
| 624 |
+
"clip_ratio/low_min": 0.0,
|
| 625 |
+
"clip_ratio/region_mean": 0.0,
|
| 626 |
+
"completions/clipped_ratio": 0.765625,
|
| 627 |
+
"completions/max_length": 1344.0,
|
| 628 |
+
"completions/max_terminated_length": 872.0,
|
| 629 |
+
"completions/mean_length": 800.890625,
|
| 630 |
+
"completions/mean_terminated_length": 410.0000305175781,
|
| 631 |
+
"completions/min_length": 199.0,
|
| 632 |
+
"completions/min_terminated_length": 199.0,
|
| 633 |
+
"entropy": 0.3335589300841093,
|
| 634 |
+
"epoch": 0.136,
|
| 635 |
+
"frac_reward_zero_std": 0.0,
|
| 636 |
+
"grad_norm": 1.4890336990356445,
|
| 637 |
+
"kl": 0.8330444995917787,
|
| 638 |
+
"learning_rate": 4.396895306731978e-06,
|
| 639 |
+
"loss": 0.0005,
|
| 640 |
+
"num_tokens": 882285.0,
|
| 641 |
+
"reward": 0.18125000596046448,
|
| 642 |
+
"reward_std": 0.24295468628406525,
|
| 643 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.18124999105930328,
|
| 644 |
+
"rewards/alfworld_rollout_reward_func/std": 0.4482647478580475,
|
| 645 |
+
"rollout/action_tokens_mean": 800.890625,
|
| 646 |
+
"rollout/episode_turns_mean": 26.265625,
|
| 647 |
+
"rollout/mismatch_mean": 0.0,
|
| 648 |
+
"rollout/mismatch_ratio": 0.0,
|
| 649 |
+
"rollout/truncated_ratio": 0.765625,
|
| 650 |
+
"sampling/importance_sampling_ratio/max": 2.3350934982299805,
|
| 651 |
+
"sampling/importance_sampling_ratio/mean": 0.37133079767227173,
|
| 652 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 653 |
+
"sampling/sampling_logp_difference/max": 10.240796089172363,
|
| 654 |
+
"sampling/sampling_logp_difference/mean": 0.020599324256181717,
|
| 655 |
+
"step": 17,
|
| 656 |
+
"step_time": 436.20165634099976
|
| 657 |
+
},
|
| 658 |
+
{
|
| 659 |
+
"clip_ratio/high_max": 0.0,
|
| 660 |
+
"clip_ratio/high_mean": 0.0,
|
| 661 |
+
"clip_ratio/low_mean": 0.0,
|
| 662 |
+
"clip_ratio/low_min": 0.0,
|
| 663 |
+
"clip_ratio/region_mean": 0.0,
|
| 664 |
+
"completions/clipped_ratio": 0.890625,
|
| 665 |
+
"completions/max_length": 1359.0,
|
| 666 |
+
"completions/max_terminated_length": 872.0,
|
| 667 |
+
"completions/mean_length": 864.640625,
|
| 668 |
+
"completions/mean_terminated_length": 638.7142944335938,
|
| 669 |
+
"completions/min_length": 240.0,
|
| 670 |
+
"completions/min_terminated_length": 240.0,
|
| 671 |
+
"entropy": 0.3253911091014743,
|
| 672 |
+
"epoch": 0.144,
|
| 673 |
+
"frac_reward_zero_std": 0.0,
|
| 674 |
+
"grad_norm": 0.007197697646915913,
|
| 675 |
+
"kl": 0.0016915635187615408,
|
| 676 |
+
"learning_rate": 4.3119819680728e-06,
|
| 677 |
+
"loss": -0.0099,
|
| 678 |
+
"num_tokens": 937622.0,
|
| 679 |
+
"reward": 0.06968750059604645,
|
| 680 |
+
"reward_std": 0.19933855533599854,
|
| 681 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.06968750059604645,
|
| 682 |
+
"rewards/alfworld_rollout_reward_func/std": 0.3224163353443146,
|
| 683 |
+
"rollout/action_tokens_mean": 864.640625,
|
| 684 |
+
"rollout/episode_turns_mean": 28.9375,
|
| 685 |
+
"rollout/mismatch_mean": 0.0,
|
| 686 |
+
"rollout/mismatch_ratio": 0.0,
|
| 687 |
+
"rollout/truncated_ratio": 0.890625,
|
| 688 |
+
"sampling/importance_sampling_ratio/max": 2.2717995643615723,
|
| 689 |
+
"sampling/importance_sampling_ratio/mean": 0.5041627287864685,
|
| 690 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 691 |
+
"sampling/sampling_logp_difference/max": 2.0254077911376953,
|
| 692 |
+
"sampling/sampling_logp_difference/mean": 0.019858187064528465,
|
| 693 |
+
"step": 18,
|
| 694 |
+
"step_time": 437.1889309570033
|
| 695 |
+
},
|
| 696 |
+
{
|
| 697 |
+
"clip_ratio/high_max": 0.0,
|
| 698 |
+
"clip_ratio/high_mean": 0.0,
|
| 699 |
+
"clip_ratio/low_mean": 0.0,
|
| 700 |
+
"clip_ratio/low_min": 0.0,
|
| 701 |
+
"clip_ratio/region_mean": 0.0,
|
| 702 |
+
"completions/clipped_ratio": 0.703125,
|
| 703 |
+
"completions/max_length": 2201.0,
|
| 704 |
+
"completions/max_terminated_length": 1115.0,
|
| 705 |
+
"completions/mean_length": 844.5,
|
| 706 |
+
"completions/mean_terminated_length": 540.631591796875,
|
| 707 |
+
"completions/min_length": 140.0,
|
| 708 |
+
"completions/min_terminated_length": 140.0,
|
| 709 |
+
"entropy": 0.33306339103728533,
|
| 710 |
+
"epoch": 0.152,
|
| 711 |
+
"frac_reward_zero_std": 0.0,
|
| 712 |
+
"grad_norm": 0.010224551893770695,
|
| 713 |
+
"kl": 0.001574573227117071,
|
| 714 |
+
"learning_rate": 4.222417297689217e-06,
|
| 715 |
+
"loss": 0.0213,
|
| 716 |
+
"num_tokens": 991670.0,
|
| 717 |
+
"reward": 0.24437499046325684,
|
| 718 |
+
"reward_std": 0.42425790429115295,
|
| 719 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.24437500536441803,
|
| 720 |
+
"rewards/alfworld_rollout_reward_func/std": 0.48038968443870544,
|
| 721 |
+
"rollout/action_tokens_mean": 844.5,
|
| 722 |
+
"rollout/episode_turns_mean": 26.171875,
|
| 723 |
+
"rollout/mismatch_mean": 0.0,
|
| 724 |
+
"rollout/mismatch_ratio": 0.0,
|
| 725 |
+
"rollout/truncated_ratio": 0.703125,
|
| 726 |
+
"sampling/importance_sampling_ratio/max": 2.5866730213165283,
|
| 727 |
+
"sampling/importance_sampling_ratio/mean": 0.5376668572425842,
|
| 728 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 729 |
+
"sampling/sampling_logp_difference/max": 1.632045865058899,
|
| 730 |
+
"sampling/sampling_logp_difference/mean": 0.01941317319869995,
|
| 731 |
+
"step": 19,
|
| 732 |
+
"step_time": 348.9997736020032
|
| 733 |
+
},
|
| 734 |
+
{
|
| 735 |
+
"clip_ratio/high_max": 0.0,
|
| 736 |
+
"clip_ratio/high_mean": 0.0,
|
| 737 |
+
"clip_ratio/low_mean": 0.0,
|
| 738 |
+
"clip_ratio/low_min": 0.0,
|
| 739 |
+
"clip_ratio/region_mean": 0.0,
|
| 740 |
+
"completions/clipped_ratio": 0.75,
|
| 741 |
+
"completions/max_length": 1764.0,
|
| 742 |
+
"completions/max_terminated_length": 1085.0,
|
| 743 |
+
"completions/mean_length": 937.640625,
|
| 744 |
+
"completions/mean_terminated_length": 530.6875,
|
| 745 |
+
"completions/min_length": 201.0,
|
| 746 |
+
"completions/min_terminated_length": 201.0,
|
| 747 |
+
"entropy": 0.3477782104164362,
|
| 748 |
+
"epoch": 0.16,
|
| 749 |
+
"frac_reward_zero_std": 0.0,
|
| 750 |
+
"grad_norm": 0.010612000711262226,
|
| 751 |
+
"kl": 0.001602184345756541,
|
| 752 |
+
"learning_rate": 4.128431206805556e-06,
|
| 753 |
+
"loss": 0.0044,
|
| 754 |
+
"num_tokens": 1051679.0,
|
| 755 |
+
"reward": 0.1901562511920929,
|
| 756 |
+
"reward_std": 0.39348262548446655,
|
| 757 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.1901562511920929,
|
| 758 |
+
"rewards/alfworld_rollout_reward_func/std": 0.4530303478240967,
|
| 759 |
+
"rollout/action_tokens_mean": 937.640625,
|
| 760 |
+
"rollout/episode_turns_mean": 26.6875,
|
| 761 |
+
"rollout/mismatch_mean": 0.0,
|
| 762 |
+
"rollout/mismatch_ratio": 0.0,
|
| 763 |
+
"rollout/truncated_ratio": 0.75,
|
| 764 |
+
"sampling/importance_sampling_ratio/max": 2.5002288818359375,
|
| 765 |
+
"sampling/importance_sampling_ratio/mean": 0.4413934350013733,
|
| 766 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 767 |
+
"sampling/sampling_logp_difference/max": 2.34731388092041,
|
| 768 |
+
"sampling/sampling_logp_difference/mean": 0.0198683924973011,
|
| 769 |
+
"step": 20,
|
| 770 |
+
"step_time": 353.7044870629943
|
| 771 |
+
},
|
| 772 |
+
{
|
| 773 |
+
"clip_ratio/high_max": 0.0,
|
| 774 |
+
"clip_ratio/high_mean": 0.0,
|
| 775 |
+
"clip_ratio/low_mean": 0.0,
|
| 776 |
+
"clip_ratio/low_min": 0.0,
|
| 777 |
+
"clip_ratio/region_mean": 0.0,
|
| 778 |
+
"completions/clipped_ratio": 0.65625,
|
| 779 |
+
"completions/max_length": 1475.0,
|
| 780 |
+
"completions/max_terminated_length": 939.0,
|
| 781 |
+
"completions/mean_length": 800.453125,
|
| 782 |
+
"completions/mean_terminated_length": 418.0909118652344,
|
| 783 |
+
"completions/min_length": 99.0,
|
| 784 |
+
"completions/min_terminated_length": 99.0,
|
| 785 |
+
"entropy": 0.36278699059039354,
|
| 786 |
+
"epoch": 0.168,
|
| 787 |
+
"frac_reward_zero_std": 0.0,
|
| 788 |
+
"grad_norm": 0.010538731701672077,
|
| 789 |
+
"kl": 0.001873640143458033,
|
| 790 |
+
"learning_rate": 4.030264956369158e-06,
|
| 791 |
+
"loss": -0.0018,
|
| 792 |
+
"num_tokens": 1102908.0,
|
| 793 |
+
"reward": 0.2993749976158142,
|
| 794 |
+
"reward_std": 0.40504124760627747,
|
| 795 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.2993749976158142,
|
| 796 |
+
"rewards/alfworld_rollout_reward_func/std": 0.4982314109802246,
|
| 797 |
+
"rollout/action_tokens_mean": 800.453125,
|
| 798 |
+
"rollout/episode_turns_mean": 24.4375,
|
| 799 |
+
"rollout/mismatch_mean": 0.0,
|
| 800 |
+
"rollout/mismatch_ratio": 0.0,
|
| 801 |
+
"rollout/truncated_ratio": 0.65625,
|
| 802 |
+
"sampling/importance_sampling_ratio/max": 2.447692632675171,
|
| 803 |
+
"sampling/importance_sampling_ratio/mean": 0.448123574256897,
|
| 804 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 805 |
+
"sampling/sampling_logp_difference/max": 1.2475838661193848,
|
| 806 |
+
"sampling/sampling_logp_difference/mean": 0.022293493151664734,
|
| 807 |
+
"step": 21,
|
| 808 |
+
"step_time": 452.2219315199982
|
| 809 |
+
},
|
| 810 |
+
{
|
| 811 |
+
"clip_ratio/high_max": 0.0,
|
| 812 |
+
"clip_ratio/high_mean": 0.0,
|
| 813 |
+
"clip_ratio/low_mean": 0.0,
|
| 814 |
+
"clip_ratio/low_min": 0.0,
|
| 815 |
+
"clip_ratio/region_mean": 0.0,
|
| 816 |
+
"completions/clipped_ratio": 0.625,
|
| 817 |
+
"completions/max_length": 1566.0,
|
| 818 |
+
"completions/max_terminated_length": 929.0,
|
| 819 |
+
"completions/mean_length": 743.703125,
|
| 820 |
+
"completions/mean_terminated_length": 460.91668701171875,
|
| 821 |
+
"completions/min_length": 137.0,
|
| 822 |
+
"completions/min_terminated_length": 137.0,
|
| 823 |
+
"entropy": 0.3329707160592079,
|
| 824 |
+
"epoch": 0.176,
|
| 825 |
+
"frac_reward_zero_std": 0.0,
|
| 826 |
+
"grad_norm": 0.007643942255526781,
|
| 827 |
+
"kl": 0.0019213874111301266,
|
| 828 |
+
"learning_rate": 3.9281705377369814e-06,
|
| 829 |
+
"loss": 0.0059,
|
| 830 |
+
"num_tokens": 1150505.0,
|
| 831 |
+
"reward": 0.32625001668930054,
|
| 832 |
+
"reward_std": 0.4726526141166687,
|
| 833 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.32624998688697815,
|
| 834 |
+
"rewards/alfworld_rollout_reward_func/std": 0.5121089816093445,
|
| 835 |
+
"rollout/action_tokens_mean": 743.703125,
|
| 836 |
+
"rollout/episode_turns_mean": 24.796875,
|
| 837 |
+
"rollout/mismatch_mean": 0.0,
|
| 838 |
+
"rollout/mismatch_ratio": 0.0,
|
| 839 |
+
"rollout/truncated_ratio": 0.625,
|
| 840 |
+
"sampling/importance_sampling_ratio/max": 2.206357479095459,
|
| 841 |
+
"sampling/importance_sampling_ratio/mean": 0.4393410086631775,
|
| 842 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 843 |
+
"sampling/sampling_logp_difference/max": 2.366598129272461,
|
| 844 |
+
"sampling/sampling_logp_difference/mean": 0.020861441269516945,
|
| 845 |
+
"step": 22,
|
| 846 |
+
"step_time": 350.210106904995
|
| 847 |
+
},
|
| 848 |
+
{
|
| 849 |
+
"clip_ratio/high_max": 0.0,
|
| 850 |
+
"clip_ratio/high_mean": 0.0,
|
| 851 |
+
"clip_ratio/low_mean": 0.0,
|
| 852 |
+
"clip_ratio/low_min": 0.0,
|
| 853 |
+
"clip_ratio/region_mean": 0.0,
|
| 854 |
+
"completions/clipped_ratio": 0.65625,
|
| 855 |
+
"completions/max_length": 1494.0,
|
| 856 |
+
"completions/max_terminated_length": 1159.0,
|
| 857 |
+
"completions/mean_length": 797.828125,
|
| 858 |
+
"completions/mean_terminated_length": 504.04547119140625,
|
| 859 |
+
"completions/min_length": 87.0,
|
| 860 |
+
"completions/min_terminated_length": 87.0,
|
| 861 |
+
"entropy": 0.35823060059919953,
|
| 862 |
+
"epoch": 0.184,
|
| 863 |
+
"frac_reward_zero_std": 0.0,
|
| 864 |
+
"grad_norm": 0.010937543585896492,
|
| 865 |
+
"kl": 0.00202080328745069,
|
| 866 |
+
"learning_rate": 3.8224100258174066e-06,
|
| 867 |
+
"loss": 0.0064,
|
| 868 |
+
"num_tokens": 1201566.0,
|
| 869 |
+
"reward": 0.3057812452316284,
|
| 870 |
+
"reward_std": 0.36121153831481934,
|
| 871 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.3057812452316284,
|
| 872 |
+
"rewards/alfworld_rollout_reward_func/std": 0.49343568086624146,
|
| 873 |
+
"rollout/action_tokens_mean": 797.828125,
|
| 874 |
+
"rollout/episode_turns_mean": 25.328125,
|
| 875 |
+
"rollout/mismatch_mean": 0.0,
|
| 876 |
+
"rollout/mismatch_ratio": 0.0,
|
| 877 |
+
"rollout/truncated_ratio": 0.65625,
|
| 878 |
+
"sampling/importance_sampling_ratio/max": 2.8112552165985107,
|
| 879 |
+
"sampling/importance_sampling_ratio/mean": 0.43328696489334106,
|
| 880 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 881 |
+
"sampling/sampling_logp_difference/max": 1.2014861106872559,
|
| 882 |
+
"sampling/sampling_logp_difference/mean": 0.022007007151842117,
|
| 883 |
+
"step": 23,
|
| 884 |
+
"step_time": 299.4183257309978
|
| 885 |
+
},
|
| 886 |
+
{
|
| 887 |
+
"clip_ratio/high_max": 0.0,
|
| 888 |
+
"clip_ratio/high_mean": 0.0,
|
| 889 |
+
"clip_ratio/low_mean": 0.0,
|
| 890 |
+
"clip_ratio/low_min": 0.0,
|
| 891 |
+
"clip_ratio/region_mean": 0.0,
|
| 892 |
+
"completions/clipped_ratio": 0.75,
|
| 893 |
+
"completions/max_length": 1409.0,
|
| 894 |
+
"completions/max_terminated_length": 962.0,
|
| 895 |
+
"completions/mean_length": 749.84375,
|
| 896 |
+
"completions/mean_terminated_length": 406.0,
|
| 897 |
+
"completions/min_length": 135.0,
|
| 898 |
+
"completions/min_terminated_length": 135.0,
|
| 899 |
+
"entropy": 0.314591265283525,
|
| 900 |
+
"epoch": 0.192,
|
| 901 |
+
"frac_reward_zero_std": 0.0,
|
| 902 |
+
"grad_norm": 0.008087356574833393,
|
| 903 |
+
"kl": 0.0017565299822308589,
|
| 904 |
+
"learning_rate": 3.7132549063277033e-06,
|
| 905 |
+
"loss": -0.0022,
|
| 906 |
+
"num_tokens": 1249556.0,
|
| 907 |
+
"reward": 0.20937500894069672,
|
| 908 |
+
"reward_std": 0.2735254764556885,
|
| 909 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.20937500894069672,
|
| 910 |
+
"rewards/alfworld_rollout_reward_func/std": 0.45049840211868286,
|
| 911 |
+
"rollout/action_tokens_mean": 749.84375,
|
| 912 |
+
"rollout/episode_turns_mean": 25.53125,
|
| 913 |
+
"rollout/mismatch_mean": 0.03125,
|
| 914 |
+
"rollout/mismatch_ratio": 0.03125,
|
| 915 |
+
"rollout/truncated_ratio": 0.75,
|
| 916 |
+
"sampling/importance_sampling_ratio/max": 2.822704792022705,
|
| 917 |
+
"sampling/importance_sampling_ratio/mean": 0.4837469756603241,
|
| 918 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 919 |
+
"sampling/sampling_logp_difference/max": 2.2067627906799316,
|
| 920 |
+
"sampling/sampling_logp_difference/mean": 0.021238919347524643,
|
| 921 |
+
"step": 24,
|
| 922 |
+
"step_time": 423.74345705999986
|
| 923 |
+
},
|
| 924 |
+
{
|
| 925 |
+
"clip_ratio/high_max": 0.0,
|
| 926 |
+
"clip_ratio/high_mean": 0.0,
|
| 927 |
+
"clip_ratio/low_mean": 0.0,
|
| 928 |
+
"clip_ratio/low_min": 0.0,
|
| 929 |
+
"clip_ratio/region_mean": 0.0,
|
| 930 |
+
"completions/clipped_ratio": 0.828125,
|
| 931 |
+
"completions/max_length": 1469.0,
|
| 932 |
+
"completions/max_terminated_length": 854.0,
|
| 933 |
+
"completions/mean_length": 757.296875,
|
| 934 |
+
"completions/mean_terminated_length": 445.2727355957031,
|
| 935 |
+
"completions/min_length": 211.0,
|
| 936 |
+
"completions/min_terminated_length": 211.0,
|
| 937 |
+
"entropy": 0.3146928045898676,
|
| 938 |
+
"epoch": 0.2,
|
| 939 |
+
"frac_reward_zero_std": 0.0,
|
| 940 |
+
"grad_norm": 0.005950183607637882,
|
| 941 |
+
"kl": 0.0024588965916336747,
|
| 942 |
+
"learning_rate": 3.600985378894086e-06,
|
| 943 |
+
"loss": -0.0029,
|
| 944 |
+
"num_tokens": 1298023.0,
|
| 945 |
+
"reward": 0.12843748927116394,
|
| 946 |
+
"reward_std": 0.3103031814098358,
|
| 947 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.12843750417232513,
|
| 948 |
+
"rewards/alfworld_rollout_reward_func/std": 0.39419689774513245,
|
| 949 |
+
"rollout/action_tokens_mean": 757.296875,
|
| 950 |
+
"rollout/episode_turns_mean": 27.515625,
|
| 951 |
+
"rollout/mismatch_mean": 0.0,
|
| 952 |
+
"rollout/mismatch_ratio": 0.0,
|
| 953 |
+
"rollout/truncated_ratio": 0.828125,
|
| 954 |
+
"sampling/importance_sampling_ratio/max": 1.9042965173721313,
|
| 955 |
+
"sampling/importance_sampling_ratio/mean": 0.30797556042671204,
|
| 956 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 957 |
+
"sampling/sampling_logp_difference/max": 3.0986688137054443,
|
| 958 |
+
"sampling/sampling_logp_difference/mean": 0.0199856199324131,
|
| 959 |
+
"step": 25,
|
| 960 |
+
"step_time": 379.6568018289963
|
| 961 |
+
},
|
| 962 |
+
{
|
| 963 |
+
"clip_ratio/high_max": 0.0,
|
| 964 |
+
"clip_ratio/high_mean": 0.0,
|
| 965 |
+
"clip_ratio/low_mean": 0.0,
|
| 966 |
+
"clip_ratio/low_min": 0.0,
|
| 967 |
+
"clip_ratio/region_mean": 0.0,
|
| 968 |
+
"completions/clipped_ratio": 0.796875,
|
| 969 |
+
"completions/max_length": 1607.0,
|
| 970 |
+
"completions/max_terminated_length": 975.0,
|
| 971 |
+
"completions/mean_length": 820.5,
|
| 972 |
+
"completions/mean_terminated_length": 396.923095703125,
|
| 973 |
+
"completions/min_length": 174.0,
|
| 974 |
+
"completions/min_terminated_length": 174.0,
|
| 975 |
+
"entropy": 0.301429130602628,
|
| 976 |
+
"epoch": 0.208,
|
| 977 |
+
"frac_reward_zero_std": 0.0,
|
| 978 |
+
"grad_norm": 0.006396389566361904,
|
| 979 |
+
"kl": 0.001548040645502624,
|
| 980 |
+
"learning_rate": 3.4858896377832966e-06,
|
| 981 |
+
"loss": 0.0009,
|
| 982 |
+
"num_tokens": 1350535.0,
|
| 983 |
+
"reward": 0.1639062464237213,
|
| 984 |
+
"reward_std": 0.32607388496398926,
|
| 985 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.1639062464237213,
|
| 986 |
+
"rewards/alfworld_rollout_reward_func/std": 0.418832927942276,
|
| 987 |
+
"rollout/action_tokens_mean": 820.5,
|
| 988 |
+
"rollout/episode_turns_mean": 26.59375,
|
| 989 |
+
"rollout/mismatch_mean": 0.0,
|
| 990 |
+
"rollout/mismatch_ratio": 0.0,
|
| 991 |
+
"rollout/truncated_ratio": 0.796875,
|
| 992 |
+
"sampling/importance_sampling_ratio/max": 2.7253878116607666,
|
| 993 |
+
"sampling/importance_sampling_ratio/mean": 0.46614933013916016,
|
| 994 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 995 |
+
"sampling/sampling_logp_difference/max": 3.6588082313537598,
|
| 996 |
+
"sampling/sampling_logp_difference/mean": 0.018608851358294487,
|
| 997 |
+
"step": 26,
|
| 998 |
+
"step_time": 458.5120370709956
|
| 999 |
+
},
|
| 1000 |
+
{
|
| 1001 |
+
"clip_ratio/high_max": 0.0,
|
| 1002 |
+
"clip_ratio/high_mean": 0.0,
|
| 1003 |
+
"clip_ratio/low_mean": 0.0,
|
| 1004 |
+
"clip_ratio/low_min": 0.0,
|
| 1005 |
+
"clip_ratio/region_mean": 0.0,
|
| 1006 |
+
"completions/clipped_ratio": 0.8125,
|
| 1007 |
+
"completions/max_length": 1363.0,
|
| 1008 |
+
"completions/max_terminated_length": 851.0,
|
| 1009 |
+
"completions/mean_length": 843.46875,
|
| 1010 |
+
"completions/mean_terminated_length": 518.0833740234375,
|
| 1011 |
+
"completions/min_length": 123.0,
|
| 1012 |
+
"completions/min_terminated_length": 123.0,
|
| 1013 |
+
"entropy": 0.3490098095498979,
|
| 1014 |
+
"epoch": 0.216,
|
| 1015 |
+
"frac_reward_zero_std": 0.0,
|
| 1016 |
+
"grad_norm": 0.00987387914210558,
|
| 1017 |
+
"kl": 0.001589072278875392,
|
| 1018 |
+
"learning_rate": 3.3682631321120507e-06,
|
| 1019 |
+
"loss": -0.0109,
|
| 1020 |
+
"num_tokens": 1404517.0,
|
| 1021 |
+
"reward": 0.14921875298023224,
|
| 1022 |
+
"reward_std": 0.3126556873321533,
|
| 1023 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.14921875298023224,
|
| 1024 |
+
"rewards/alfworld_rollout_reward_func/std": 0.40770089626312256,
|
| 1025 |
+
"rollout/action_tokens_mean": 843.46875,
|
| 1026 |
+
"rollout/episode_turns_mean": 27.703125,
|
| 1027 |
+
"rollout/mismatch_mean": 0.0,
|
| 1028 |
+
"rollout/mismatch_ratio": 0.0,
|
| 1029 |
+
"rollout/truncated_ratio": 0.8125,
|
| 1030 |
+
"sampling/importance_sampling_ratio/max": 2.323033332824707,
|
| 1031 |
+
"sampling/importance_sampling_ratio/mean": 0.4162726402282715,
|
| 1032 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 1033 |
+
"sampling/sampling_logp_difference/max": 1.8558279275894165,
|
| 1034 |
+
"sampling/sampling_logp_difference/mean": 0.020594514906406403,
|
| 1035 |
+
"step": 27,
|
| 1036 |
+
"step_time": 366.20077905700964
|
| 1037 |
+
},
|
| 1038 |
+
{
|
| 1039 |
+
"clip_ratio/high_max": 0.0,
|
| 1040 |
+
"clip_ratio/high_mean": 0.0,
|
| 1041 |
+
"clip_ratio/low_mean": 0.0,
|
| 1042 |
+
"clip_ratio/low_min": 0.0,
|
| 1043 |
+
"clip_ratio/region_mean": 0.0,
|
| 1044 |
+
"completions/clipped_ratio": 0.5625,
|
| 1045 |
+
"completions/max_length": 2369.0,
|
| 1046 |
+
"completions/max_terminated_length": 1151.0,
|
| 1047 |
+
"completions/mean_length": 727.859375,
|
| 1048 |
+
"completions/mean_terminated_length": 404.3571472167969,
|
| 1049 |
+
"completions/min_length": 97.0,
|
| 1050 |
+
"completions/min_terminated_length": 97.0,
|
| 1051 |
+
"entropy": 0.30788369150832295,
|
| 1052 |
+
"epoch": 0.224,
|
| 1053 |
+
"frac_reward_zero_std": 0.0,
|
| 1054 |
+
"grad_norm": 0.01545465737581253,
|
| 1055 |
+
"kl": 0.0016130298517964548,
|
| 1056 |
+
"learning_rate": 3.248407807433396e-06,
|
| 1057 |
+
"loss": 0.012,
|
| 1058 |
+
"num_tokens": 1451100.0,
|
| 1059 |
+
"reward": 0.3981249928474426,
|
| 1060 |
+
"reward_std": 0.5213440656661987,
|
| 1061 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.3981249928474426,
|
| 1062 |
+
"rewards/alfworld_rollout_reward_func/std": 0.5216788649559021,
|
| 1063 |
+
"rollout/action_tokens_mean": 727.859375,
|
| 1064 |
+
"rollout/episode_turns_mean": 22.984375,
|
| 1065 |
+
"rollout/mismatch_mean": 0.0,
|
| 1066 |
+
"rollout/mismatch_ratio": 0.0,
|
| 1067 |
+
"rollout/truncated_ratio": 0.5625,
|
| 1068 |
+
"sampling/importance_sampling_ratio/max": 2.7356457710266113,
|
| 1069 |
+
"sampling/importance_sampling_ratio/mean": 0.6839978694915771,
|
| 1070 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 1071 |
+
"sampling/sampling_logp_difference/max": 1.65842604637146,
|
| 1072 |
+
"sampling/sampling_logp_difference/mean": 0.019816581159830093,
|
| 1073 |
+
"step": 28,
|
| 1074 |
+
"step_time": 317.7198553449962
|
| 1075 |
+
},
|
| 1076 |
+
{
|
| 1077 |
+
"clip_ratio/high_max": 0.0,
|
| 1078 |
+
"clip_ratio/high_mean": 0.0,
|
| 1079 |
+
"clip_ratio/low_mean": 0.0,
|
| 1080 |
+
"clip_ratio/low_min": 0.0,
|
| 1081 |
+
"clip_ratio/region_mean": 0.0,
|
| 1082 |
+
"completions/clipped_ratio": 0.75,
|
| 1083 |
+
"completions/max_length": 1781.0,
|
| 1084 |
+
"completions/max_terminated_length": 980.0,
|
| 1085 |
+
"completions/mean_length": 844.03125,
|
| 1086 |
+
"completions/mean_terminated_length": 524.75,
|
| 1087 |
+
"completions/min_length": 153.0,
|
| 1088 |
+
"completions/min_terminated_length": 153.0,
|
| 1089 |
+
"entropy": 0.3514281096868217,
|
| 1090 |
+
"epoch": 0.232,
|
| 1091 |
+
"frac_reward_zero_std": 0.0,
|
| 1092 |
+
"grad_norm": 0.010329142212867737,
|
| 1093 |
+
"kl": 0.0034811663499567658,
|
| 1094 |
+
"learning_rate": 3.1266313306468018e-06,
|
| 1095 |
+
"loss": -0.0153,
|
| 1096 |
+
"num_tokens": 1505118.0,
|
| 1097 |
+
"reward": 0.20656250417232513,
|
| 1098 |
+
"reward_std": 0.29942071437835693,
|
| 1099 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.20656250417232513,
|
| 1100 |
+
"rewards/alfworld_rollout_reward_func/std": 0.4480122923851013,
|
| 1101 |
+
"rollout/action_tokens_mean": 844.03125,
|
| 1102 |
+
"rollout/episode_turns_mean": 26.890625,
|
| 1103 |
+
"rollout/mismatch_mean": 0.015625,
|
| 1104 |
+
"rollout/mismatch_ratio": 0.015625,
|
| 1105 |
+
"rollout/truncated_ratio": 0.75,
|
| 1106 |
+
"sampling/importance_sampling_ratio/max": 2.6475582122802734,
|
| 1107 |
+
"sampling/importance_sampling_ratio/mean": 0.39373910427093506,
|
| 1108 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 1109 |
+
"sampling/sampling_logp_difference/max": 5.319100856781006,
|
| 1110 |
+
"sampling/sampling_logp_difference/mean": 0.022610869258642197,
|
| 1111 |
+
"step": 29,
|
| 1112 |
+
"step_time": 372.01922321400525
|
| 1113 |
+
},
|
| 1114 |
+
{
|
| 1115 |
+
"clip_ratio/high_max": 0.0,
|
| 1116 |
+
"clip_ratio/high_mean": 0.0,
|
| 1117 |
+
"clip_ratio/low_mean": 0.0,
|
| 1118 |
+
"clip_ratio/low_min": 0.0,
|
| 1119 |
+
"clip_ratio/region_mean": 0.0,
|
| 1120 |
+
"completions/clipped_ratio": 0.75,
|
| 1121 |
+
"completions/max_length": 1465.0,
|
| 1122 |
+
"completions/max_terminated_length": 804.0,
|
| 1123 |
+
"completions/mean_length": 781.265625,
|
| 1124 |
+
"completions/mean_terminated_length": 451.8125,
|
| 1125 |
+
"completions/min_length": 172.0,
|
| 1126 |
+
"completions/min_terminated_length": 172.0,
|
| 1127 |
+
"entropy": 0.2927012937143445,
|
| 1128 |
+
"epoch": 0.24,
|
| 1129 |
+
"frac_reward_zero_std": 0.0,
|
| 1130 |
+
"grad_norm": 0.006770053878426552,
|
| 1131 |
+
"kl": 0.0015057786895340541,
|
| 1132 |
+
"learning_rate": 3.0032463002216504e-06,
|
| 1133 |
+
"loss": 0.0038,
|
| 1134 |
+
"num_tokens": 1555119.0,
|
| 1135 |
+
"reward": 0.21671874821186066,
|
| 1136 |
+
"reward_std": 0.24240338802337646,
|
| 1137 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.21671876311302185,
|
| 1138 |
+
"rewards/alfworld_rollout_reward_func/std": 0.44675213098526,
|
| 1139 |
+
"rollout/action_tokens_mean": 781.265625,
|
| 1140 |
+
"rollout/episode_turns_mean": 26.21875,
|
| 1141 |
+
"rollout/mismatch_mean": 0.0,
|
| 1142 |
+
"rollout/mismatch_ratio": 0.0,
|
| 1143 |
+
"rollout/truncated_ratio": 0.75,
|
| 1144 |
+
"sampling/importance_sampling_ratio/max": 2.8479506969451904,
|
| 1145 |
+
"sampling/importance_sampling_ratio/mean": 0.49506521224975586,
|
| 1146 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 1147 |
+
"sampling/sampling_logp_difference/max": 1.7825241088867188,
|
| 1148 |
+
"sampling/sampling_logp_difference/mean": 0.01828092336654663,
|
| 1149 |
+
"step": 30,
|
| 1150 |
+
"step_time": 382.84014304800075
|
| 1151 |
+
},
|
| 1152 |
+
{
|
| 1153 |
+
"clip_ratio/high_max": 0.0,
|
| 1154 |
+
"clip_ratio/high_mean": 0.0,
|
| 1155 |
+
"clip_ratio/low_mean": 0.0,
|
| 1156 |
+
"clip_ratio/low_min": 0.0,
|
| 1157 |
+
"clip_ratio/region_mean": 0.0,
|
| 1158 |
+
"completions/clipped_ratio": 0.8125,
|
| 1159 |
+
"completions/max_length": 1591.0,
|
| 1160 |
+
"completions/max_terminated_length": 899.0,
|
| 1161 |
+
"completions/mean_length": 807.0625,
|
| 1162 |
+
"completions/mean_terminated_length": 503.8333435058594,
|
| 1163 |
+
"completions/min_length": 153.0,
|
| 1164 |
+
"completions/min_terminated_length": 153.0,
|
| 1165 |
+
"entropy": 0.33275228925049305,
|
| 1166 |
+
"epoch": 0.248,
|
| 1167 |
+
"frac_reward_zero_std": 0.0,
|
| 1168 |
+
"grad_norm": 0.009322401136159897,
|
| 1169 |
+
"kl": 0.0018803979564836482,
|
| 1170 |
+
"learning_rate": 2.878569443761442e-06,
|
| 1171 |
+
"loss": -0.0078,
|
| 1172 |
+
"num_tokens": 1606771.0,
|
| 1173 |
+
"reward": 0.14656250178813934,
|
| 1174 |
+
"reward_std": 0.337169349193573,
|
| 1175 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.14656248688697815,
|
| 1176 |
+
"rewards/alfworld_rollout_reward_func/std": 0.4100453853607178,
|
| 1177 |
+
"rollout/action_tokens_mean": 807.0625,
|
| 1178 |
+
"rollout/episode_turns_mean": 27.546875,
|
| 1179 |
+
"rollout/mismatch_mean": 0.0,
|
| 1180 |
+
"rollout/mismatch_ratio": 0.0,
|
| 1181 |
+
"rollout/truncated_ratio": 0.8125,
|
| 1182 |
+
"sampling/importance_sampling_ratio/max": 2.9021573066711426,
|
| 1183 |
+
"sampling/importance_sampling_ratio/mean": 0.42428821325302124,
|
| 1184 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 1185 |
+
"sampling/sampling_logp_difference/max": 2.855207920074463,
|
| 1186 |
+
"sampling/sampling_logp_difference/mean": 0.021321609616279602,
|
| 1187 |
+
"step": 31,
|
| 1188 |
+
"step_time": 494.6054373920015
|
| 1189 |
+
},
|
| 1190 |
+
{
|
| 1191 |
+
"clip_ratio/high_max": 0.0,
|
| 1192 |
+
"clip_ratio/high_mean": 0.0,
|
| 1193 |
+
"clip_ratio/low_mean": 0.0,
|
| 1194 |
+
"clip_ratio/low_min": 0.0,
|
| 1195 |
+
"clip_ratio/region_mean": 0.0,
|
| 1196 |
+
"completions/clipped_ratio": 0.796875,
|
| 1197 |
+
"completions/max_length": 1383.0,
|
| 1198 |
+
"completions/max_terminated_length": 1038.0,
|
| 1199 |
+
"completions/mean_length": 791.734375,
|
| 1200 |
+
"completions/mean_terminated_length": 412.923095703125,
|
| 1201 |
+
"completions/min_length": 125.0,
|
| 1202 |
+
"completions/min_terminated_length": 125.0,
|
| 1203 |
+
"entropy": 0.38143961410969496,
|
| 1204 |
+
"epoch": 0.256,
|
| 1205 |
+
"frac_reward_zero_std": 0.0,
|
| 1206 |
+
"grad_norm": 0.010985196568071842,
|
| 1207 |
+
"kl": 0.0017831376208050642,
|
| 1208 |
+
"learning_rate": 2.752920804968581e-06,
|
| 1209 |
+
"loss": -0.0093,
|
| 1210 |
+
"num_tokens": 1657442.0,
|
| 1211 |
+
"reward": 0.14656248688697815,
|
| 1212 |
+
"reward_std": 0.27167972922325134,
|
| 1213 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.14656250178813934,
|
| 1214 |
+
"rewards/alfworld_rollout_reward_func/std": 0.4263809323310852,
|
| 1215 |
+
"rollout/action_tokens_mean": 791.734375,
|
| 1216 |
+
"rollout/episode_turns_mean": 26.5,
|
| 1217 |
+
"rollout/mismatch_mean": 0.0,
|
| 1218 |
+
"rollout/mismatch_ratio": 0.0,
|
| 1219 |
+
"rollout/truncated_ratio": 0.796875,
|
| 1220 |
+
"sampling/importance_sampling_ratio/max": 2.170595169067383,
|
| 1221 |
+
"sampling/importance_sampling_ratio/mean": 0.39966434240341187,
|
| 1222 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 1223 |
+
"sampling/sampling_logp_difference/max": 2.398648977279663,
|
| 1224 |
+
"sampling/sampling_logp_difference/mean": 0.022872522473335266,
|
| 1225 |
+
"step": 32,
|
| 1226 |
+
"step_time": 305.8924537160019
|
| 1227 |
+
},
|
| 1228 |
+
{
|
| 1229 |
+
"clip_ratio/high_max": 0.0,
|
| 1230 |
+
"clip_ratio/high_mean": 0.0,
|
| 1231 |
+
"clip_ratio/low_mean": 0.0,
|
| 1232 |
+
"clip_ratio/low_min": 0.0,
|
| 1233 |
+
"clip_ratio/region_mean": 0.0,
|
| 1234 |
+
"completions/clipped_ratio": 0.734375,
|
| 1235 |
+
"completions/max_length": 1564.0,
|
| 1236 |
+
"completions/max_terminated_length": 1151.0,
|
| 1237 |
+
"completions/mean_length": 914.953125,
|
| 1238 |
+
"completions/mean_terminated_length": 616.4705810546875,
|
| 1239 |
+
"completions/min_length": 291.0,
|
| 1240 |
+
"completions/min_terminated_length": 291.0,
|
| 1241 |
+
"entropy": 0.39743291586637497,
|
| 1242 |
+
"epoch": 0.264,
|
| 1243 |
+
"frac_reward_zero_std": 0.0,
|
| 1244 |
+
"grad_norm": 0.010168999433517456,
|
| 1245 |
+
"kl": 0.0017962153833650518,
|
| 1246 |
+
"learning_rate": 2.626622922096782e-06,
|
| 1247 |
+
"loss": -0.0045,
|
| 1248 |
+
"num_tokens": 1715999.0,
|
| 1249 |
+
"reward": 0.21843750774860382,
|
| 1250 |
+
"reward_std": 0.4097728729248047,
|
| 1251 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.21843750774860382,
|
| 1252 |
+
"rewards/alfworld_rollout_reward_func/std": 0.46011462807655334,
|
| 1253 |
+
"rollout/action_tokens_mean": 914.953125,
|
| 1254 |
+
"rollout/episode_turns_mean": 27.140625,
|
| 1255 |
+
"rollout/mismatch_mean": 0.0,
|
| 1256 |
+
"rollout/mismatch_ratio": 0.0,
|
| 1257 |
+
"rollout/truncated_ratio": 0.734375,
|
| 1258 |
+
"sampling/importance_sampling_ratio/max": 2.6107707023620605,
|
| 1259 |
+
"sampling/importance_sampling_ratio/mean": 0.386021226644516,
|
| 1260 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 1261 |
+
"sampling/sampling_logp_difference/max": 2.2772090435028076,
|
| 1262 |
+
"sampling/sampling_logp_difference/mean": 0.02191011980175972,
|
| 1263 |
+
"step": 33,
|
| 1264 |
+
"step_time": 360.4347860389935
|
| 1265 |
+
},
|
| 1266 |
+
{
|
| 1267 |
+
"clip_ratio/high_max": 0.0,
|
| 1268 |
+
"clip_ratio/high_mean": 0.0,
|
| 1269 |
+
"clip_ratio/low_mean": 0.0,
|
| 1270 |
+
"clip_ratio/low_min": 0.0,
|
| 1271 |
+
"clip_ratio/region_mean": 0.0,
|
| 1272 |
+
"completions/clipped_ratio": 0.796875,
|
| 1273 |
+
"completions/max_length": 1527.0,
|
| 1274 |
+
"completions/max_terminated_length": 743.0,
|
| 1275 |
+
"completions/mean_length": 862.9375,
|
| 1276 |
+
"completions/mean_terminated_length": 506.3077087402344,
|
| 1277 |
+
"completions/min_length": 254.0,
|
| 1278 |
+
"completions/min_terminated_length": 254.0,
|
| 1279 |
+
"entropy": 0.35848523303866386,
|
| 1280 |
+
"epoch": 0.272,
|
| 1281 |
+
"frac_reward_zero_std": 0.0,
|
| 1282 |
+
"grad_norm": 0.01134358998388052,
|
| 1283 |
+
"kl": 0.001760420509526739,
|
| 1284 |
+
"learning_rate": 2.5e-06,
|
| 1285 |
+
"loss": 0.016,
|
| 1286 |
+
"num_tokens": 1771227.0,
|
| 1287 |
+
"reward": 0.15781250596046448,
|
| 1288 |
+
"reward_std": 0.29862138628959656,
|
| 1289 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.15781249105930328,
|
| 1290 |
+
"rewards/alfworld_rollout_reward_func/std": 0.4202209413051605,
|
| 1291 |
+
"rollout/action_tokens_mean": 862.9375,
|
| 1292 |
+
"rollout/episode_turns_mean": 27.515625,
|
| 1293 |
+
"rollout/mismatch_mean": 0.0,
|
| 1294 |
+
"rollout/mismatch_ratio": 0.0,
|
| 1295 |
+
"rollout/truncated_ratio": 0.796875,
|
| 1296 |
+
"sampling/importance_sampling_ratio/max": 2.3946166038513184,
|
| 1297 |
+
"sampling/importance_sampling_ratio/mean": 0.41097065806388855,
|
| 1298 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 1299 |
+
"sampling/sampling_logp_difference/max": 2.3659703731536865,
|
| 1300 |
+
"sampling/sampling_logp_difference/mean": 0.020839743316173553,
|
| 1301 |
+
"step": 34,
|
| 1302 |
+
"step_time": 255.86244797499785
|
| 1303 |
+
},
|
| 1304 |
+
{
|
| 1305 |
+
"clip_ratio/high_max": 0.0,
|
| 1306 |
+
"clip_ratio/high_mean": 0.0,
|
| 1307 |
+
"clip_ratio/low_mean": 0.0,
|
| 1308 |
+
"clip_ratio/low_min": 0.0,
|
| 1309 |
+
"clip_ratio/region_mean": 0.0,
|
| 1310 |
+
"completions/clipped_ratio": 0.640625,
|
| 1311 |
+
"completions/max_length": 1503.0,
|
| 1312 |
+
"completions/max_terminated_length": 1127.0,
|
| 1313 |
+
"completions/mean_length": 801.078125,
|
| 1314 |
+
"completions/mean_terminated_length": 446.0434875488281,
|
| 1315 |
+
"completions/min_length": 121.0,
|
| 1316 |
+
"completions/min_terminated_length": 121.0,
|
| 1317 |
+
"entropy": 0.33974334690719843,
|
| 1318 |
+
"epoch": 0.28,
|
| 1319 |
+
"frac_reward_zero_std": 0.0,
|
| 1320 |
+
"grad_norm": 0.007748698350042105,
|
| 1321 |
+
"kl": 0.0017098757416533772,
|
| 1322 |
+
"learning_rate": 2.3733770779032185e-06,
|
| 1323 |
+
"loss": 0.0012,
|
| 1324 |
+
"num_tokens": 1822496.0,
|
| 1325 |
+
"reward": 0.3109375238418579,
|
| 1326 |
+
"reward_std": 0.34154438972473145,
|
| 1327 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.3109375238418579,
|
| 1328 |
+
"rewards/alfworld_rollout_reward_func/std": 0.5012863874435425,
|
| 1329 |
+
"rollout/action_tokens_mean": 801.078125,
|
| 1330 |
+
"rollout/episode_turns_mean": 24.203125,
|
| 1331 |
+
"rollout/mismatch_mean": 0.015625,
|
| 1332 |
+
"rollout/mismatch_ratio": 0.015625,
|
| 1333 |
+
"rollout/truncated_ratio": 0.640625,
|
| 1334 |
+
"sampling/importance_sampling_ratio/max": 2.6798601150512695,
|
| 1335 |
+
"sampling/importance_sampling_ratio/mean": 0.4648974537849426,
|
| 1336 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 1337 |
+
"sampling/sampling_logp_difference/max": 2.4488577842712402,
|
| 1338 |
+
"sampling/sampling_logp_difference/mean": 0.020977256819605827,
|
| 1339 |
+
"step": 35,
|
| 1340 |
+
"step_time": 369.7442883429976
|
| 1341 |
+
},
|
| 1342 |
+
{
|
| 1343 |
+
"clip_ratio/high_max": 0.0,
|
| 1344 |
+
"clip_ratio/high_mean": 0.0,
|
| 1345 |
+
"clip_ratio/low_mean": 0.0,
|
| 1346 |
+
"clip_ratio/low_min": 0.0,
|
| 1347 |
+
"clip_ratio/region_mean": 0.0,
|
| 1348 |
+
"completions/clipped_ratio": 0.5625,
|
| 1349 |
+
"completions/max_length": 1817.0,
|
| 1350 |
+
"completions/max_terminated_length": 1098.0,
|
| 1351 |
+
"completions/mean_length": 763.078125,
|
| 1352 |
+
"completions/mean_terminated_length": 383.21429443359375,
|
| 1353 |
+
"completions/min_length": 90.0,
|
| 1354 |
+
"completions/min_terminated_length": 90.0,
|
| 1355 |
+
"entropy": 0.37786182574927807,
|
| 1356 |
+
"epoch": 0.288,
|
| 1357 |
+
"frac_reward_zero_std": 0.0,
|
| 1358 |
+
"grad_norm": 0.012169571593403816,
|
| 1359 |
+
"kl": 0.0024242461659014225,
|
| 1360 |
+
"learning_rate": 2.24707919503142e-06,
|
| 1361 |
+
"loss": 0.0067,
|
| 1362 |
+
"num_tokens": 1871333.0,
|
| 1363 |
+
"reward": 0.3814062476158142,
|
| 1364 |
+
"reward_std": 0.325703501701355,
|
| 1365 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.3814062476158142,
|
| 1366 |
+
"rewards/alfworld_rollout_reward_func/std": 0.5243707299232483,
|
| 1367 |
+
"rollout/action_tokens_mean": 763.078125,
|
| 1368 |
+
"rollout/episode_turns_mean": 22.328125,
|
| 1369 |
+
"rollout/mismatch_mean": 0.0,
|
| 1370 |
+
"rollout/mismatch_ratio": 0.0,
|
| 1371 |
+
"rollout/truncated_ratio": 0.5625,
|
| 1372 |
+
"sampling/importance_sampling_ratio/max": 2.630308151245117,
|
| 1373 |
+
"sampling/importance_sampling_ratio/mean": 0.4907624125480652,
|
| 1374 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 1375 |
+
"sampling/sampling_logp_difference/max": 3.9331345558166504,
|
| 1376 |
+
"sampling/sampling_logp_difference/mean": 0.022463176399469376,
|
| 1377 |
+
"step": 36,
|
| 1378 |
+
"step_time": 452.8674500970046
|
| 1379 |
+
},
|
| 1380 |
+
{
|
| 1381 |
+
"clip_ratio/high_max": 0.0,
|
| 1382 |
+
"clip_ratio/high_mean": 0.0,
|
| 1383 |
+
"clip_ratio/low_mean": 0.0,
|
| 1384 |
+
"clip_ratio/low_min": 0.0,
|
| 1385 |
+
"clip_ratio/region_mean": 0.0,
|
| 1386 |
+
"completions/clipped_ratio": 0.453125,
|
| 1387 |
+
"completions/max_length": 1560.0,
|
| 1388 |
+
"completions/max_terminated_length": 1173.0,
|
| 1389 |
+
"completions/mean_length": 592.9375,
|
| 1390 |
+
"completions/mean_terminated_length": 322.4285583496094,
|
| 1391 |
+
"completions/min_length": 102.0,
|
| 1392 |
+
"completions/min_terminated_length": 102.0,
|
| 1393 |
+
"entropy": 0.2960165496915579,
|
| 1394 |
+
"epoch": 0.296,
|
| 1395 |
+
"frac_reward_zero_std": 0.125,
|
| 1396 |
+
"grad_norm": 0.009033096954226494,
|
| 1397 |
+
"kl": 0.0017318885384156602,
|
| 1398 |
+
"learning_rate": 2.1214305562385592e-06,
|
| 1399 |
+
"loss": 0.0028,
|
| 1400 |
+
"num_tokens": 1909281.0,
|
| 1401 |
+
"reward": 0.5143750309944153,
|
| 1402 |
+
"reward_std": 0.3860568404197693,
|
| 1403 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.5143750309944153,
|
| 1404 |
+
"rewards/alfworld_rollout_reward_func/std": 0.5290928483009338,
|
| 1405 |
+
"rollout/action_tokens_mean": 592.9375,
|
| 1406 |
+
"rollout/episode_turns_mean": 19.015625,
|
| 1407 |
+
"rollout/mismatch_mean": 0.0,
|
| 1408 |
+
"rollout/mismatch_ratio": 0.0,
|
| 1409 |
+
"rollout/truncated_ratio": 0.453125,
|
| 1410 |
+
"sampling/importance_sampling_ratio/max": 2.8567276000976562,
|
| 1411 |
+
"sampling/importance_sampling_ratio/mean": 0.5531047582626343,
|
| 1412 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 1413 |
+
"sampling/sampling_logp_difference/max": 2.304647445678711,
|
| 1414 |
+
"sampling/sampling_logp_difference/mean": 0.01983683556318283,
|
| 1415 |
+
"step": 37,
|
| 1416 |
+
"step_time": 388.3879080370025
|
| 1417 |
+
},
|
| 1418 |
+
{
|
| 1419 |
+
"clip_ratio/high_max": 0.0,
|
| 1420 |
+
"clip_ratio/high_mean": 0.0,
|
| 1421 |
+
"clip_ratio/low_mean": 0.0,
|
| 1422 |
+
"clip_ratio/low_min": 0.0,
|
| 1423 |
+
"clip_ratio/region_mean": 0.0,
|
| 1424 |
+
"completions/clipped_ratio": 0.53125,
|
| 1425 |
+
"completions/max_length": 1343.0,
|
| 1426 |
+
"completions/max_terminated_length": 792.0,
|
| 1427 |
+
"completions/mean_length": 662.140625,
|
| 1428 |
+
"completions/mean_terminated_length": 343.8333435058594,
|
| 1429 |
+
"completions/min_length": 77.0,
|
| 1430 |
+
"completions/min_terminated_length": 77.0,
|
| 1431 |
+
"entropy": 0.32609579246491194,
|
| 1432 |
+
"epoch": 0.304,
|
| 1433 |
+
"frac_reward_zero_std": 0.125,
|
| 1434 |
+
"grad_norm": 0.014773277565836906,
|
| 1435 |
+
"kl": 0.0018760439170364407,
|
| 1436 |
+
"learning_rate": 1.9967536997783495e-06,
|
| 1437 |
+
"loss": 0.0014,
|
| 1438 |
+
"num_tokens": 1951658.0,
|
| 1439 |
+
"reward": 0.4350000023841858,
|
| 1440 |
+
"reward_std": 0.3387959599494934,
|
| 1441 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.4350000023841858,
|
| 1442 |
+
"rewards/alfworld_rollout_reward_func/std": 0.5278016924858093,
|
| 1443 |
+
"rollout/action_tokens_mean": 662.140625,
|
| 1444 |
+
"rollout/episode_turns_mean": 21.40625,
|
| 1445 |
+
"rollout/mismatch_mean": 0.015625,
|
| 1446 |
+
"rollout/mismatch_ratio": 0.015625,
|
| 1447 |
+
"rollout/truncated_ratio": 0.53125,
|
| 1448 |
+
"sampling/importance_sampling_ratio/max": 2.9260754585266113,
|
| 1449 |
+
"sampling/importance_sampling_ratio/mean": 0.563366711139679,
|
| 1450 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 1451 |
+
"sampling/sampling_logp_difference/max": 3.768939971923828,
|
| 1452 |
+
"sampling/sampling_logp_difference/mean": 0.022423237562179565,
|
| 1453 |
+
"step": 38,
|
| 1454 |
+
"step_time": 436.1079989810023
|
| 1455 |
+
},
|
| 1456 |
+
{
|
| 1457 |
+
"clip_ratio/high_max": 0.0,
|
| 1458 |
+
"clip_ratio/high_mean": 0.0,
|
| 1459 |
+
"clip_ratio/low_mean": 0.0,
|
| 1460 |
+
"clip_ratio/low_min": 0.0,
|
| 1461 |
+
"clip_ratio/region_mean": 0.0,
|
| 1462 |
+
"completions/clipped_ratio": 0.734375,
|
| 1463 |
+
"completions/max_length": 1869.0,
|
| 1464 |
+
"completions/max_terminated_length": 1018.0,
|
| 1465 |
+
"completions/mean_length": 943.40625,
|
| 1466 |
+
"completions/mean_terminated_length": 584.4117431640625,
|
| 1467 |
+
"completions/min_length": 237.0,
|
| 1468 |
+
"completions/min_terminated_length": 237.0,
|
| 1469 |
+
"entropy": 0.3758079996332526,
|
| 1470 |
+
"epoch": 0.312,
|
| 1471 |
+
"frac_reward_zero_std": 0.0,
|
| 1472 |
+
"grad_norm": 0.01313227228820324,
|
| 1473 |
+
"kl": 0.0022639515991613735,
|
| 1474 |
+
"learning_rate": 1.8733686693531986e-06,
|
| 1475 |
+
"loss": -0.0025,
|
| 1476 |
+
"num_tokens": 2012036.0,
|
| 1477 |
+
"reward": 0.21578124165534973,
|
| 1478 |
+
"reward_std": 0.4323212504386902,
|
| 1479 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.21578124165534973,
|
| 1480 |
+
"rewards/alfworld_rollout_reward_func/std": 0.46428921818733215,
|
| 1481 |
+
"rollout/action_tokens_mean": 943.40625,
|
| 1482 |
+
"rollout/episode_turns_mean": 26.90625,
|
| 1483 |
+
"rollout/mismatch_mean": 0.0,
|
| 1484 |
+
"rollout/mismatch_ratio": 0.0,
|
| 1485 |
+
"rollout/truncated_ratio": 0.734375,
|
| 1486 |
+
"sampling/importance_sampling_ratio/max": 2.5490753650665283,
|
| 1487 |
+
"sampling/importance_sampling_ratio/mean": 0.3670840859413147,
|
| 1488 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 1489 |
+
"sampling/sampling_logp_difference/max": 3.389880657196045,
|
| 1490 |
+
"sampling/sampling_logp_difference/mean": 0.021743088960647583,
|
| 1491 |
+
"step": 39,
|
| 1492 |
+
"step_time": 354.37862886100265
|
| 1493 |
+
},
|
| 1494 |
+
{
|
| 1495 |
+
"clip_ratio/high_max": 0.0,
|
| 1496 |
+
"clip_ratio/high_mean": 0.0,
|
| 1497 |
+
"clip_ratio/low_mean": 0.0,
|
| 1498 |
+
"clip_ratio/low_min": 0.0,
|
| 1499 |
+
"clip_ratio/region_mean": 0.0,
|
| 1500 |
+
"completions/clipped_ratio": 0.671875,
|
| 1501 |
+
"completions/max_length": 1334.0,
|
| 1502 |
+
"completions/max_terminated_length": 1062.0,
|
| 1503 |
+
"completions/mean_length": 701.15625,
|
| 1504 |
+
"completions/mean_terminated_length": 308.1428527832031,
|
| 1505 |
+
"completions/min_length": 155.0,
|
| 1506 |
+
"completions/min_terminated_length": 155.0,
|
| 1507 |
+
"entropy": 0.2994346688501537,
|
| 1508 |
+
"epoch": 0.32,
|
| 1509 |
+
"frac_reward_zero_std": 0.0,
|
| 1510 |
+
"grad_norm": 0.009722444228827953,
|
| 1511 |
+
"kl": 0.0016241020402958384,
|
| 1512 |
+
"learning_rate": 1.7515921925666053e-06,
|
| 1513 |
+
"loss": -0.0206,
|
| 1514 |
+
"num_tokens": 2056910.0,
|
| 1515 |
+
"reward": 0.29640626907348633,
|
| 1516 |
+
"reward_std": 0.23870769143104553,
|
| 1517 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.29640626907348633,
|
| 1518 |
+
"rewards/alfworld_rollout_reward_func/std": 0.4918813109397888,
|
| 1519 |
+
"rollout/action_tokens_mean": 701.15625,
|
| 1520 |
+
"rollout/episode_turns_mean": 23.625,
|
| 1521 |
+
"rollout/mismatch_mean": 0.0,
|
| 1522 |
+
"rollout/mismatch_ratio": 0.0,
|
| 1523 |
+
"rollout/truncated_ratio": 0.671875,
|
| 1524 |
+
"sampling/importance_sampling_ratio/max": 2.825843572616577,
|
| 1525 |
+
"sampling/importance_sampling_ratio/mean": 0.5806776881217957,
|
| 1526 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 1527 |
+
"sampling/sampling_logp_difference/max": 3.3793482780456543,
|
| 1528 |
+
"sampling/sampling_logp_difference/mean": 0.01931983232498169,
|
| 1529 |
+
"step": 40,
|
| 1530 |
+
"step_time": 355.1650720970065
|
| 1531 |
+
}
|
| 1532 |
+
],
|
| 1533 |
+
"logging_steps": 1,
|
| 1534 |
+
"max_steps": 64,
|
| 1535 |
+
"num_input_tokens_seen": 2056910,
|
| 1536 |
+
"num_train_epochs": 1,
|
| 1537 |
+
"save_steps": 20,
|
| 1538 |
+
"stateful_callbacks": {
|
| 1539 |
+
"TrainerControl": {
|
| 1540 |
+
"args": {
|
| 1541 |
+
"should_epoch_stop": false,
|
| 1542 |
+
"should_evaluate": false,
|
| 1543 |
+
"should_log": false,
|
| 1544 |
+
"should_save": true,
|
| 1545 |
+
"should_training_stop": false
|
| 1546 |
+
},
|
| 1547 |
+
"attributes": {}
|
| 1548 |
+
}
|
| 1549 |
+
},
|
| 1550 |
+
"total_flos": 0.0,
|
| 1551 |
+
"train_batch_size": 1,
|
| 1552 |
+
"trial_name": null,
|
| 1553 |
+
"trial_params": null
|
| 1554 |
+
}
|
checkpoint-40/vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-60/README.md
ADDED
|
@@ -0,0 +1,210 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: /cache/models/Qwen--Qwen2.5-3B-Instruct
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- axolotl
|
| 7 |
+
- base_model:adapter:/cache/models/Qwen--Qwen2.5-3B-Instruct
|
| 8 |
+
- grpo
|
| 9 |
+
- lora
|
| 10 |
+
- transformers
|
| 11 |
+
- trl
|
| 12 |
+
---
|
| 13 |
+
|
| 14 |
+
# Model Card for Model ID
|
| 15 |
+
|
| 16 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
## Model Details
|
| 21 |
+
|
| 22 |
+
### Model Description
|
| 23 |
+
|
| 24 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 25 |
+
|
| 26 |
+
|
| 27 |
+
|
| 28 |
+
- **Developed by:** [More Information Needed]
|
| 29 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 30 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 31 |
+
- **Model type:** [More Information Needed]
|
| 32 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 33 |
+
- **License:** [More Information Needed]
|
| 34 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
### Model Sources [optional]
|
| 37 |
+
|
| 38 |
+
<!-- Provide the basic links for the model. -->
|
| 39 |
+
|
| 40 |
+
- **Repository:** [More Information Needed]
|
| 41 |
+
- **Paper [optional]:** [More Information Needed]
|
| 42 |
+
- **Demo [optional]:** [More Information Needed]
|
| 43 |
+
|
| 44 |
+
## Uses
|
| 45 |
+
|
| 46 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 47 |
+
|
| 48 |
+
### Direct Use
|
| 49 |
+
|
| 50 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 51 |
+
|
| 52 |
+
[More Information Needed]
|
| 53 |
+
|
| 54 |
+
### Downstream Use [optional]
|
| 55 |
+
|
| 56 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 57 |
+
|
| 58 |
+
[More Information Needed]
|
| 59 |
+
|
| 60 |
+
### Out-of-Scope Use
|
| 61 |
+
|
| 62 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 63 |
+
|
| 64 |
+
[More Information Needed]
|
| 65 |
+
|
| 66 |
+
## Bias, Risks, and Limitations
|
| 67 |
+
|
| 68 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 69 |
+
|
| 70 |
+
[More Information Needed]
|
| 71 |
+
|
| 72 |
+
### Recommendations
|
| 73 |
+
|
| 74 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 75 |
+
|
| 76 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 77 |
+
|
| 78 |
+
## How to Get Started with the Model
|
| 79 |
+
|
| 80 |
+
Use the code below to get started with the model.
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
## Training Details
|
| 85 |
+
|
| 86 |
+
### Training Data
|
| 87 |
+
|
| 88 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
### Training Procedure
|
| 93 |
+
|
| 94 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 95 |
+
|
| 96 |
+
#### Preprocessing [optional]
|
| 97 |
+
|
| 98 |
+
[More Information Needed]
|
| 99 |
+
|
| 100 |
+
|
| 101 |
+
#### Training Hyperparameters
|
| 102 |
+
|
| 103 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 104 |
+
|
| 105 |
+
#### Speeds, Sizes, Times [optional]
|
| 106 |
+
|
| 107 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 108 |
+
|
| 109 |
+
[More Information Needed]
|
| 110 |
+
|
| 111 |
+
## Evaluation
|
| 112 |
+
|
| 113 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 114 |
+
|
| 115 |
+
### Testing Data, Factors & Metrics
|
| 116 |
+
|
| 117 |
+
#### Testing Data
|
| 118 |
+
|
| 119 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 120 |
+
|
| 121 |
+
[More Information Needed]
|
| 122 |
+
|
| 123 |
+
#### Factors
|
| 124 |
+
|
| 125 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 126 |
+
|
| 127 |
+
[More Information Needed]
|
| 128 |
+
|
| 129 |
+
#### Metrics
|
| 130 |
+
|
| 131 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 132 |
+
|
| 133 |
+
[More Information Needed]
|
| 134 |
+
|
| 135 |
+
### Results
|
| 136 |
+
|
| 137 |
+
[More Information Needed]
|
| 138 |
+
|
| 139 |
+
#### Summary
|
| 140 |
+
|
| 141 |
+
|
| 142 |
+
|
| 143 |
+
## Model Examination [optional]
|
| 144 |
+
|
| 145 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 146 |
+
|
| 147 |
+
[More Information Needed]
|
| 148 |
+
|
| 149 |
+
## Environmental Impact
|
| 150 |
+
|
| 151 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 152 |
+
|
| 153 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 154 |
+
|
| 155 |
+
- **Hardware Type:** [More Information Needed]
|
| 156 |
+
- **Hours used:** [More Information Needed]
|
| 157 |
+
- **Cloud Provider:** [More Information Needed]
|
| 158 |
+
- **Compute Region:** [More Information Needed]
|
| 159 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 160 |
+
|
| 161 |
+
## Technical Specifications [optional]
|
| 162 |
+
|
| 163 |
+
### Model Architecture and Objective
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
### Compute Infrastructure
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
#### Hardware
|
| 172 |
+
|
| 173 |
+
[More Information Needed]
|
| 174 |
+
|
| 175 |
+
#### Software
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
## Citation [optional]
|
| 180 |
+
|
| 181 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 182 |
+
|
| 183 |
+
**BibTeX:**
|
| 184 |
+
|
| 185 |
+
[More Information Needed]
|
| 186 |
+
|
| 187 |
+
**APA:**
|
| 188 |
+
|
| 189 |
+
[More Information Needed]
|
| 190 |
+
|
| 191 |
+
## Glossary [optional]
|
| 192 |
+
|
| 193 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## More Information [optional]
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
|
| 201 |
+
## Model Card Authors [optional]
|
| 202 |
+
|
| 203 |
+
[More Information Needed]
|
| 204 |
+
|
| 205 |
+
## Model Card Contact
|
| 206 |
+
|
| 207 |
+
[More Information Needed]
|
| 208 |
+
### Framework versions
|
| 209 |
+
|
| 210 |
+
- PEFT 0.18.1
|
checkpoint-60/adapter_config.json
ADDED
|
@@ -0,0 +1,46 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
+
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "/cache/models/Qwen--Qwen2.5-3B-Instruct",
|
| 7 |
+
"bias": "none",
|
| 8 |
+
"corda_config": null,
|
| 9 |
+
"ensure_weight_tying": false,
|
| 10 |
+
"eva_config": null,
|
| 11 |
+
"exclude_modules": null,
|
| 12 |
+
"fan_in_fan_out": null,
|
| 13 |
+
"inference_mode": true,
|
| 14 |
+
"init_lora_weights": true,
|
| 15 |
+
"layer_replication": null,
|
| 16 |
+
"layers_pattern": null,
|
| 17 |
+
"layers_to_transform": null,
|
| 18 |
+
"loftq_config": {},
|
| 19 |
+
"lora_alpha": 32,
|
| 20 |
+
"lora_bias": false,
|
| 21 |
+
"lora_dropout": 0.0,
|
| 22 |
+
"megatron_config": null,
|
| 23 |
+
"megatron_core": "megatron.core",
|
| 24 |
+
"modules_to_save": null,
|
| 25 |
+
"peft_type": "LORA",
|
| 26 |
+
"peft_version": "0.18.1",
|
| 27 |
+
"qalora_group_size": 16,
|
| 28 |
+
"r": 16,
|
| 29 |
+
"rank_pattern": {},
|
| 30 |
+
"revision": null,
|
| 31 |
+
"target_modules": [
|
| 32 |
+
"q_proj",
|
| 33 |
+
"v_proj",
|
| 34 |
+
"k_proj",
|
| 35 |
+
"down_proj",
|
| 36 |
+
"o_proj",
|
| 37 |
+
"gate_proj",
|
| 38 |
+
"up_proj"
|
| 39 |
+
],
|
| 40 |
+
"target_parameters": [],
|
| 41 |
+
"task_type": "CAUSAL_LM",
|
| 42 |
+
"trainable_token_indices": null,
|
| 43 |
+
"use_dora": false,
|
| 44 |
+
"use_qalora": false,
|
| 45 |
+
"use_rslora": false
|
| 46 |
+
}
|
checkpoint-60/added_tokens.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"</tool_call>": 151658,
|
| 3 |
+
"<tool_call>": 151657,
|
| 4 |
+
"<|box_end|>": 151649,
|
| 5 |
+
"<|box_start|>": 151648,
|
| 6 |
+
"<|endoftext|>": 151643,
|
| 7 |
+
"<|file_sep|>": 151664,
|
| 8 |
+
"<|fim_middle|>": 151660,
|
| 9 |
+
"<|fim_pad|>": 151662,
|
| 10 |
+
"<|fim_prefix|>": 151659,
|
| 11 |
+
"<|fim_suffix|>": 151661,
|
| 12 |
+
"<|im_end|>": 151645,
|
| 13 |
+
"<|im_start|>": 151644,
|
| 14 |
+
"<|image_pad|>": 151655,
|
| 15 |
+
"<|object_ref_end|>": 151647,
|
| 16 |
+
"<|object_ref_start|>": 151646,
|
| 17 |
+
"<|quad_end|>": 151651,
|
| 18 |
+
"<|quad_start|>": 151650,
|
| 19 |
+
"<|repo_name|>": 151663,
|
| 20 |
+
"<|video_pad|>": 151656,
|
| 21 |
+
"<|vision_end|>": 151653,
|
| 22 |
+
"<|vision_pad|>": 151654,
|
| 23 |
+
"<|vision_start|>": 151652
|
| 24 |
+
}
|
checkpoint-60/chat_template.jinja
ADDED
|
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>
|
| 2 |
+
|
| 3 |
+
'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>
|
| 4 |
+
|
| 5 |
+
' }}{% endif %}
|
checkpoint-60/merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-60/ref/adapter_config.json
ADDED
|
@@ -0,0 +1,46 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
+
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "/cache/models/Qwen--Qwen2.5-3B-Instruct",
|
| 7 |
+
"bias": "none",
|
| 8 |
+
"corda_config": null,
|
| 9 |
+
"ensure_weight_tying": false,
|
| 10 |
+
"eva_config": null,
|
| 11 |
+
"exclude_modules": null,
|
| 12 |
+
"fan_in_fan_out": null,
|
| 13 |
+
"inference_mode": true,
|
| 14 |
+
"init_lora_weights": true,
|
| 15 |
+
"layer_replication": null,
|
| 16 |
+
"layers_pattern": null,
|
| 17 |
+
"layers_to_transform": null,
|
| 18 |
+
"loftq_config": {},
|
| 19 |
+
"lora_alpha": 32,
|
| 20 |
+
"lora_bias": false,
|
| 21 |
+
"lora_dropout": 0.0,
|
| 22 |
+
"megatron_config": null,
|
| 23 |
+
"megatron_core": "megatron.core",
|
| 24 |
+
"modules_to_save": null,
|
| 25 |
+
"peft_type": "LORA",
|
| 26 |
+
"peft_version": "0.18.1",
|
| 27 |
+
"qalora_group_size": 16,
|
| 28 |
+
"r": 16,
|
| 29 |
+
"rank_pattern": {},
|
| 30 |
+
"revision": null,
|
| 31 |
+
"target_modules": [
|
| 32 |
+
"q_proj",
|
| 33 |
+
"v_proj",
|
| 34 |
+
"k_proj",
|
| 35 |
+
"down_proj",
|
| 36 |
+
"o_proj",
|
| 37 |
+
"gate_proj",
|
| 38 |
+
"up_proj"
|
| 39 |
+
],
|
| 40 |
+
"target_parameters": [],
|
| 41 |
+
"task_type": "CAUSAL_LM",
|
| 42 |
+
"trainable_token_indices": null,
|
| 43 |
+
"use_dora": false,
|
| 44 |
+
"use_qalora": false,
|
| 45 |
+
"use_rslora": false
|
| 46 |
+
}
|
checkpoint-60/special_tokens_map.json
ADDED
|
@@ -0,0 +1,38 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<|im_start|>",
|
| 4 |
+
"<|im_end|>",
|
| 5 |
+
"<|object_ref_start|>",
|
| 6 |
+
"<|object_ref_end|>",
|
| 7 |
+
"<|box_start|>",
|
| 8 |
+
"<|box_end|>",
|
| 9 |
+
"<|quad_start|>",
|
| 10 |
+
"<|quad_end|>",
|
| 11 |
+
"<|vision_start|>",
|
| 12 |
+
"<|vision_end|>",
|
| 13 |
+
"<|vision_pad|>",
|
| 14 |
+
"<|image_pad|>",
|
| 15 |
+
"<|video_pad|>"
|
| 16 |
+
],
|
| 17 |
+
"bos_token": {
|
| 18 |
+
"content": "<|im_end|>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
},
|
| 24 |
+
"eos_token": {
|
| 25 |
+
"content": "<|im_end|>",
|
| 26 |
+
"lstrip": false,
|
| 27 |
+
"normalized": false,
|
| 28 |
+
"rstrip": false,
|
| 29 |
+
"single_word": false
|
| 30 |
+
},
|
| 31 |
+
"pad_token": {
|
| 32 |
+
"content": "<|endoftext|>",
|
| 33 |
+
"lstrip": false,
|
| 34 |
+
"normalized": false,
|
| 35 |
+
"rstrip": false,
|
| 36 |
+
"single_word": false
|
| 37 |
+
}
|
| 38 |
+
}
|
checkpoint-60/tokenizer_config.json
ADDED
|
@@ -0,0 +1,207 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": false,
|
| 3 |
+
"add_prefix_space": false,
|
| 4 |
+
"added_tokens_decoder": {
|
| 5 |
+
"151643": {
|
| 6 |
+
"content": "<|endoftext|>",
|
| 7 |
+
"lstrip": false,
|
| 8 |
+
"normalized": false,
|
| 9 |
+
"rstrip": false,
|
| 10 |
+
"single_word": false,
|
| 11 |
+
"special": true
|
| 12 |
+
},
|
| 13 |
+
"151644": {
|
| 14 |
+
"content": "<|im_start|>",
|
| 15 |
+
"lstrip": false,
|
| 16 |
+
"normalized": false,
|
| 17 |
+
"rstrip": false,
|
| 18 |
+
"single_word": false,
|
| 19 |
+
"special": true
|
| 20 |
+
},
|
| 21 |
+
"151645": {
|
| 22 |
+
"content": "<|im_end|>",
|
| 23 |
+
"lstrip": false,
|
| 24 |
+
"normalized": false,
|
| 25 |
+
"rstrip": false,
|
| 26 |
+
"single_word": false,
|
| 27 |
+
"special": true
|
| 28 |
+
},
|
| 29 |
+
"151646": {
|
| 30 |
+
"content": "<|object_ref_start|>",
|
| 31 |
+
"lstrip": false,
|
| 32 |
+
"normalized": false,
|
| 33 |
+
"rstrip": false,
|
| 34 |
+
"single_word": false,
|
| 35 |
+
"special": true
|
| 36 |
+
},
|
| 37 |
+
"151647": {
|
| 38 |
+
"content": "<|object_ref_end|>",
|
| 39 |
+
"lstrip": false,
|
| 40 |
+
"normalized": false,
|
| 41 |
+
"rstrip": false,
|
| 42 |
+
"single_word": false,
|
| 43 |
+
"special": true
|
| 44 |
+
},
|
| 45 |
+
"151648": {
|
| 46 |
+
"content": "<|box_start|>",
|
| 47 |
+
"lstrip": false,
|
| 48 |
+
"normalized": false,
|
| 49 |
+
"rstrip": false,
|
| 50 |
+
"single_word": false,
|
| 51 |
+
"special": true
|
| 52 |
+
},
|
| 53 |
+
"151649": {
|
| 54 |
+
"content": "<|box_end|>",
|
| 55 |
+
"lstrip": false,
|
| 56 |
+
"normalized": false,
|
| 57 |
+
"rstrip": false,
|
| 58 |
+
"single_word": false,
|
| 59 |
+
"special": true
|
| 60 |
+
},
|
| 61 |
+
"151650": {
|
| 62 |
+
"content": "<|quad_start|>",
|
| 63 |
+
"lstrip": false,
|
| 64 |
+
"normalized": false,
|
| 65 |
+
"rstrip": false,
|
| 66 |
+
"single_word": false,
|
| 67 |
+
"special": true
|
| 68 |
+
},
|
| 69 |
+
"151651": {
|
| 70 |
+
"content": "<|quad_end|>",
|
| 71 |
+
"lstrip": false,
|
| 72 |
+
"normalized": false,
|
| 73 |
+
"rstrip": false,
|
| 74 |
+
"single_word": false,
|
| 75 |
+
"special": true
|
| 76 |
+
},
|
| 77 |
+
"151652": {
|
| 78 |
+
"content": "<|vision_start|>",
|
| 79 |
+
"lstrip": false,
|
| 80 |
+
"normalized": false,
|
| 81 |
+
"rstrip": false,
|
| 82 |
+
"single_word": false,
|
| 83 |
+
"special": true
|
| 84 |
+
},
|
| 85 |
+
"151653": {
|
| 86 |
+
"content": "<|vision_end|>",
|
| 87 |
+
"lstrip": false,
|
| 88 |
+
"normalized": false,
|
| 89 |
+
"rstrip": false,
|
| 90 |
+
"single_word": false,
|
| 91 |
+
"special": true
|
| 92 |
+
},
|
| 93 |
+
"151654": {
|
| 94 |
+
"content": "<|vision_pad|>",
|
| 95 |
+
"lstrip": false,
|
| 96 |
+
"normalized": false,
|
| 97 |
+
"rstrip": false,
|
| 98 |
+
"single_word": false,
|
| 99 |
+
"special": true
|
| 100 |
+
},
|
| 101 |
+
"151655": {
|
| 102 |
+
"content": "<|image_pad|>",
|
| 103 |
+
"lstrip": false,
|
| 104 |
+
"normalized": false,
|
| 105 |
+
"rstrip": false,
|
| 106 |
+
"single_word": false,
|
| 107 |
+
"special": true
|
| 108 |
+
},
|
| 109 |
+
"151656": {
|
| 110 |
+
"content": "<|video_pad|>",
|
| 111 |
+
"lstrip": false,
|
| 112 |
+
"normalized": false,
|
| 113 |
+
"rstrip": false,
|
| 114 |
+
"single_word": false,
|
| 115 |
+
"special": true
|
| 116 |
+
},
|
| 117 |
+
"151657": {
|
| 118 |
+
"content": "<tool_call>",
|
| 119 |
+
"lstrip": false,
|
| 120 |
+
"normalized": false,
|
| 121 |
+
"rstrip": false,
|
| 122 |
+
"single_word": false,
|
| 123 |
+
"special": false
|
| 124 |
+
},
|
| 125 |
+
"151658": {
|
| 126 |
+
"content": "</tool_call>",
|
| 127 |
+
"lstrip": false,
|
| 128 |
+
"normalized": false,
|
| 129 |
+
"rstrip": false,
|
| 130 |
+
"single_word": false,
|
| 131 |
+
"special": false
|
| 132 |
+
},
|
| 133 |
+
"151659": {
|
| 134 |
+
"content": "<|fim_prefix|>",
|
| 135 |
+
"lstrip": false,
|
| 136 |
+
"normalized": false,
|
| 137 |
+
"rstrip": false,
|
| 138 |
+
"single_word": false,
|
| 139 |
+
"special": false
|
| 140 |
+
},
|
| 141 |
+
"151660": {
|
| 142 |
+
"content": "<|fim_middle|>",
|
| 143 |
+
"lstrip": false,
|
| 144 |
+
"normalized": false,
|
| 145 |
+
"rstrip": false,
|
| 146 |
+
"single_word": false,
|
| 147 |
+
"special": false
|
| 148 |
+
},
|
| 149 |
+
"151661": {
|
| 150 |
+
"content": "<|fim_suffix|>",
|
| 151 |
+
"lstrip": false,
|
| 152 |
+
"normalized": false,
|
| 153 |
+
"rstrip": false,
|
| 154 |
+
"single_word": false,
|
| 155 |
+
"special": false
|
| 156 |
+
},
|
| 157 |
+
"151662": {
|
| 158 |
+
"content": "<|fim_pad|>",
|
| 159 |
+
"lstrip": false,
|
| 160 |
+
"normalized": false,
|
| 161 |
+
"rstrip": false,
|
| 162 |
+
"single_word": false,
|
| 163 |
+
"special": false
|
| 164 |
+
},
|
| 165 |
+
"151663": {
|
| 166 |
+
"content": "<|repo_name|>",
|
| 167 |
+
"lstrip": false,
|
| 168 |
+
"normalized": false,
|
| 169 |
+
"rstrip": false,
|
| 170 |
+
"single_word": false,
|
| 171 |
+
"special": false
|
| 172 |
+
},
|
| 173 |
+
"151664": {
|
| 174 |
+
"content": "<|file_sep|>",
|
| 175 |
+
"lstrip": false,
|
| 176 |
+
"normalized": false,
|
| 177 |
+
"rstrip": false,
|
| 178 |
+
"single_word": false,
|
| 179 |
+
"special": false
|
| 180 |
+
}
|
| 181 |
+
},
|
| 182 |
+
"additional_special_tokens": [
|
| 183 |
+
"<|im_start|>",
|
| 184 |
+
"<|im_end|>",
|
| 185 |
+
"<|object_ref_start|>",
|
| 186 |
+
"<|object_ref_end|>",
|
| 187 |
+
"<|box_start|>",
|
| 188 |
+
"<|box_end|>",
|
| 189 |
+
"<|quad_start|>",
|
| 190 |
+
"<|quad_end|>",
|
| 191 |
+
"<|vision_start|>",
|
| 192 |
+
"<|vision_end|>",
|
| 193 |
+
"<|vision_pad|>",
|
| 194 |
+
"<|image_pad|>",
|
| 195 |
+
"<|video_pad|>"
|
| 196 |
+
],
|
| 197 |
+
"bos_token": "<|im_end|>",
|
| 198 |
+
"clean_up_tokenization_spaces": false,
|
| 199 |
+
"eos_token": "<|im_end|>",
|
| 200 |
+
"errors": "replace",
|
| 201 |
+
"extra_special_tokens": {},
|
| 202 |
+
"model_max_length": 131072,
|
| 203 |
+
"pad_token": "<|endoftext|>",
|
| 204 |
+
"split_special_tokens": false,
|
| 205 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 206 |
+
"unk_token": null
|
| 207 |
+
}
|
checkpoint-60/trainer_state.json
ADDED
|
@@ -0,0 +1,2314 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 0.48,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 60,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"clip_ratio/high_max": 0.0,
|
| 14 |
+
"clip_ratio/high_mean": 0.0,
|
| 15 |
+
"clip_ratio/low_mean": 0.0,
|
| 16 |
+
"clip_ratio/low_min": 0.0,
|
| 17 |
+
"clip_ratio/region_mean": 0.0,
|
| 18 |
+
"completions/clipped_ratio": 0.6875,
|
| 19 |
+
"completions/max_length": 1707.0,
|
| 20 |
+
"completions/max_terminated_length": 915.0,
|
| 21 |
+
"completions/mean_length": 812.703125,
|
| 22 |
+
"completions/mean_terminated_length": 386.1499938964844,
|
| 23 |
+
"completions/min_length": 88.0,
|
| 24 |
+
"completions/min_terminated_length": 88.0,
|
| 25 |
+
"entropy": 0.319809939712286,
|
| 26 |
+
"epoch": 0.008,
|
| 27 |
+
"frac_reward_zero_std": 0.0,
|
| 28 |
+
"grad_norm": 0.013934657908976078,
|
| 29 |
+
"kl": 0.0,
|
| 30 |
+
"learning_rate": 0.0,
|
| 31 |
+
"loss": 0.0003,
|
| 32 |
+
"num_tokens": 52013.0,
|
| 33 |
+
"reward": 0.26906251907348633,
|
| 34 |
+
"reward_std": 0.43214160203933716,
|
| 35 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.26906251907348633,
|
| 36 |
+
"rewards/alfworld_rollout_reward_func/std": 0.48894354701042175,
|
| 37 |
+
"rollout/action_tokens_mean": 812.703125,
|
| 38 |
+
"rollout/episode_turns_mean": 25.0625,
|
| 39 |
+
"rollout/mismatch_mean": 0.015625,
|
| 40 |
+
"rollout/mismatch_ratio": 0.015625,
|
| 41 |
+
"rollout/truncated_ratio": 0.6875,
|
| 42 |
+
"sampling/importance_sampling_ratio/max": 2.401656150817871,
|
| 43 |
+
"sampling/importance_sampling_ratio/mean": 0.5413336753845215,
|
| 44 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 45 |
+
"sampling/sampling_logp_difference/max": 2.9913136959075928,
|
| 46 |
+
"sampling/sampling_logp_difference/mean": 0.020846465602517128,
|
| 47 |
+
"step": 1,
|
| 48 |
+
"step_time": 340.2447626780008
|
| 49 |
+
},
|
| 50 |
+
{
|
| 51 |
+
"clip_ratio/high_max": 0.0,
|
| 52 |
+
"clip_ratio/high_mean": 0.0,
|
| 53 |
+
"clip_ratio/low_mean": 0.0,
|
| 54 |
+
"clip_ratio/low_min": 0.0,
|
| 55 |
+
"clip_ratio/region_mean": 0.0,
|
| 56 |
+
"completions/clipped_ratio": 0.765625,
|
| 57 |
+
"completions/max_length": 1338.0,
|
| 58 |
+
"completions/max_terminated_length": 912.0,
|
| 59 |
+
"completions/mean_length": 822.90625,
|
| 60 |
+
"completions/mean_terminated_length": 481.0000305175781,
|
| 61 |
+
"completions/min_length": 240.0,
|
| 62 |
+
"completions/min_terminated_length": 240.0,
|
| 63 |
+
"entropy": 0.33951753890141845,
|
| 64 |
+
"epoch": 0.016,
|
| 65 |
+
"frac_reward_zero_std": 0.0,
|
| 66 |
+
"grad_norm": 0.005984712392091751,
|
| 67 |
+
"kl": 0.0,
|
| 68 |
+
"learning_rate": 2.5e-06,
|
| 69 |
+
"loss": 0.0064,
|
| 70 |
+
"num_tokens": 104679.0,
|
| 71 |
+
"reward": 0.1837500035762787,
|
| 72 |
+
"reward_std": 0.37211528420448303,
|
| 73 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.1837500035762787,
|
| 74 |
+
"rewards/alfworld_rollout_reward_func/std": 0.44909608364105225,
|
| 75 |
+
"rollout/action_tokens_mean": 822.90625,
|
| 76 |
+
"rollout/episode_turns_mean": 26.75,
|
| 77 |
+
"rollout/mismatch_mean": 0.0,
|
| 78 |
+
"rollout/mismatch_ratio": 0.0,
|
| 79 |
+
"rollout/truncated_ratio": 0.765625,
|
| 80 |
+
"sampling/importance_sampling_ratio/max": 2.0904664993286133,
|
| 81 |
+
"sampling/importance_sampling_ratio/mean": 0.30532318353652954,
|
| 82 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 83 |
+
"sampling/sampling_logp_difference/max": 2.2203328609466553,
|
| 84 |
+
"sampling/sampling_logp_difference/mean": 0.021448608487844467,
|
| 85 |
+
"step": 2,
|
| 86 |
+
"step_time": 376.3160819019986
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"clip_ratio/high_max": 0.0,
|
| 90 |
+
"clip_ratio/high_mean": 0.0,
|
| 91 |
+
"clip_ratio/low_mean": 0.0,
|
| 92 |
+
"clip_ratio/low_min": 0.0,
|
| 93 |
+
"clip_ratio/region_mean": 0.0,
|
| 94 |
+
"completions/clipped_ratio": 0.75,
|
| 95 |
+
"completions/max_length": 1253.0,
|
| 96 |
+
"completions/max_terminated_length": 680.0,
|
| 97 |
+
"completions/mean_length": 735.65625,
|
| 98 |
+
"completions/mean_terminated_length": 380.5,
|
| 99 |
+
"completions/min_length": 145.0,
|
| 100 |
+
"completions/min_terminated_length": 145.0,
|
| 101 |
+
"entropy": 0.32836992759257555,
|
| 102 |
+
"epoch": 0.024,
|
| 103 |
+
"frac_reward_zero_std": 0.0,
|
| 104 |
+
"grad_norm": 0.0066122072748839855,
|
| 105 |
+
"kl": 0.001546632844110718,
|
| 106 |
+
"learning_rate": 5e-06,
|
| 107 |
+
"loss": 0.0026,
|
| 108 |
+
"num_tokens": 151761.0,
|
| 109 |
+
"reward": 0.21156249940395355,
|
| 110 |
+
"reward_std": 0.2755644917488098,
|
| 111 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.21156249940395355,
|
| 112 |
+
"rewards/alfworld_rollout_reward_func/std": 0.44746631383895874,
|
| 113 |
+
"rollout/action_tokens_mean": 735.65625,
|
| 114 |
+
"rollout/episode_turns_mean": 26.03125,
|
| 115 |
+
"rollout/mismatch_mean": 0.0,
|
| 116 |
+
"rollout/mismatch_ratio": 0.0,
|
| 117 |
+
"rollout/truncated_ratio": 0.75,
|
| 118 |
+
"sampling/importance_sampling_ratio/max": 2.4706838130950928,
|
| 119 |
+
"sampling/importance_sampling_ratio/mean": 0.5484369993209839,
|
| 120 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 121 |
+
"sampling/sampling_logp_difference/max": 1.5531697273254395,
|
| 122 |
+
"sampling/sampling_logp_difference/mean": 0.020412152633070946,
|
| 123 |
+
"step": 3,
|
| 124 |
+
"step_time": 359.0840177950013
|
| 125 |
+
},
|
| 126 |
+
{
|
| 127 |
+
"clip_ratio/high_max": 0.0,
|
| 128 |
+
"clip_ratio/high_mean": 0.0,
|
| 129 |
+
"clip_ratio/low_mean": 0.0,
|
| 130 |
+
"clip_ratio/low_min": 0.0,
|
| 131 |
+
"clip_ratio/region_mean": 0.0,
|
| 132 |
+
"completions/clipped_ratio": 0.546875,
|
| 133 |
+
"completions/max_length": 1880.0,
|
| 134 |
+
"completions/max_terminated_length": 807.0,
|
| 135 |
+
"completions/mean_length": 721.78125,
|
| 136 |
+
"completions/mean_terminated_length": 425.72412109375,
|
| 137 |
+
"completions/min_length": 112.0,
|
| 138 |
+
"completions/min_terminated_length": 112.0,
|
| 139 |
+
"entropy": 0.3564013452269137,
|
| 140 |
+
"epoch": 0.032,
|
| 141 |
+
"frac_reward_zero_std": 0.0,
|
| 142 |
+
"grad_norm": 0.00901270005851984,
|
| 143 |
+
"kl": 0.001597001251866459,
|
| 144 |
+
"learning_rate": 4.996791267927632e-06,
|
| 145 |
+
"loss": 0.0123,
|
| 146 |
+
"num_tokens": 197955.0,
|
| 147 |
+
"reward": 0.40953126549720764,
|
| 148 |
+
"reward_std": 0.48288512229919434,
|
| 149 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.40953126549720764,
|
| 150 |
+
"rewards/alfworld_rollout_reward_func/std": 0.5298889875411987,
|
| 151 |
+
"rollout/action_tokens_mean": 721.78125,
|
| 152 |
+
"rollout/episode_turns_mean": 22.859375,
|
| 153 |
+
"rollout/mismatch_mean": 0.015625,
|
| 154 |
+
"rollout/mismatch_ratio": 0.015625,
|
| 155 |
+
"rollout/truncated_ratio": 0.546875,
|
| 156 |
+
"sampling/importance_sampling_ratio/max": 2.607266664505005,
|
| 157 |
+
"sampling/importance_sampling_ratio/mean": 0.5041748881340027,
|
| 158 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 159 |
+
"sampling/sampling_logp_difference/max": 3.2973906993865967,
|
| 160 |
+
"sampling/sampling_logp_difference/mean": 0.022099550813436508,
|
| 161 |
+
"step": 4,
|
| 162 |
+
"step_time": 324.93751245399835
|
| 163 |
+
},
|
| 164 |
+
{
|
| 165 |
+
"clip_ratio/high_max": 0.0,
|
| 166 |
+
"clip_ratio/high_mean": 0.0,
|
| 167 |
+
"clip_ratio/low_mean": 0.0,
|
| 168 |
+
"clip_ratio/low_min": 0.0,
|
| 169 |
+
"clip_ratio/region_mean": 0.0,
|
| 170 |
+
"completions/clipped_ratio": 0.6875,
|
| 171 |
+
"completions/max_length": 1772.0,
|
| 172 |
+
"completions/max_terminated_length": 1135.0,
|
| 173 |
+
"completions/mean_length": 823.984375,
|
| 174 |
+
"completions/mean_terminated_length": 511.25,
|
| 175 |
+
"completions/min_length": 238.0,
|
| 176 |
+
"completions/min_terminated_length": 238.0,
|
| 177 |
+
"entropy": 0.37002173252403736,
|
| 178 |
+
"epoch": 0.04,
|
| 179 |
+
"frac_reward_zero_std": 0.0,
|
| 180 |
+
"grad_norm": 0.006255371496081352,
|
| 181 |
+
"kl": 0.0018659899324120488,
|
| 182 |
+
"learning_rate": 4.987173308479738e-06,
|
| 183 |
+
"loss": -0.0049,
|
| 184 |
+
"num_tokens": 250690.0,
|
| 185 |
+
"reward": 0.2629687488079071,
|
| 186 |
+
"reward_std": 0.3148724138736725,
|
| 187 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.2629687786102295,
|
| 188 |
+
"rewards/alfworld_rollout_reward_func/std": 0.48142871260643005,
|
| 189 |
+
"rollout/action_tokens_mean": 823.984375,
|
| 190 |
+
"rollout/episode_turns_mean": 25.65625,
|
| 191 |
+
"rollout/mismatch_mean": 0.0,
|
| 192 |
+
"rollout/mismatch_ratio": 0.0,
|
| 193 |
+
"rollout/truncated_ratio": 0.6875,
|
| 194 |
+
"sampling/importance_sampling_ratio/max": 2.4376842975616455,
|
| 195 |
+
"sampling/importance_sampling_ratio/mean": 0.3966376781463623,
|
| 196 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 197 |
+
"sampling/sampling_logp_difference/max": 1.3790063858032227,
|
| 198 |
+
"sampling/sampling_logp_difference/mean": 0.022958241403102875,
|
| 199 |
+
"step": 5,
|
| 200 |
+
"step_time": 428.7077085350011
|
| 201 |
+
},
|
| 202 |
+
{
|
| 203 |
+
"clip_ratio/high_max": 0.0,
|
| 204 |
+
"clip_ratio/high_mean": 0.0,
|
| 205 |
+
"clip_ratio/low_mean": 0.0,
|
| 206 |
+
"clip_ratio/low_min": 0.0,
|
| 207 |
+
"clip_ratio/region_mean": 0.0,
|
| 208 |
+
"completions/clipped_ratio": 0.546875,
|
| 209 |
+
"completions/max_length": 1754.0,
|
| 210 |
+
"completions/max_terminated_length": 1081.0,
|
| 211 |
+
"completions/mean_length": 778.265625,
|
| 212 |
+
"completions/mean_terminated_length": 513.0689697265625,
|
| 213 |
+
"completions/min_length": 89.0,
|
| 214 |
+
"completions/min_terminated_length": 89.0,
|
| 215 |
+
"entropy": 0.33683515526354313,
|
| 216 |
+
"epoch": 0.048,
|
| 217 |
+
"frac_reward_zero_std": 0.0,
|
| 218 |
+
"grad_norm": 0.014856722205877304,
|
| 219 |
+
"kl": 0.0018188257581641665,
|
| 220 |
+
"learning_rate": 4.971170810820279e-06,
|
| 221 |
+
"loss": 0.0284,
|
| 222 |
+
"num_tokens": 300499.0,
|
| 223 |
+
"reward": 0.4112499952316284,
|
| 224 |
+
"reward_std": 0.4292137622833252,
|
| 225 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.4112499952316284,
|
| 226 |
+
"rewards/alfworld_rollout_reward_func/std": 0.5246087312698364,
|
| 227 |
+
"rollout/action_tokens_mean": 778.265625,
|
| 228 |
+
"rollout/episode_turns_mean": 24.0,
|
| 229 |
+
"rollout/mismatch_mean": 0.0,
|
| 230 |
+
"rollout/mismatch_ratio": 0.0,
|
| 231 |
+
"rollout/truncated_ratio": 0.546875,
|
| 232 |
+
"sampling/importance_sampling_ratio/max": 2.469376802444458,
|
| 233 |
+
"sampling/importance_sampling_ratio/mean": 0.41494274139404297,
|
| 234 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 235 |
+
"sampling/sampling_logp_difference/max": 2.5756630897521973,
|
| 236 |
+
"sampling/sampling_logp_difference/mean": 0.020635541528463364,
|
| 237 |
+
"step": 6,
|
| 238 |
+
"step_time": 329.3498830619992
|
| 239 |
+
},
|
| 240 |
+
{
|
| 241 |
+
"clip_ratio/high_max": 0.0,
|
| 242 |
+
"clip_ratio/high_mean": 0.0,
|
| 243 |
+
"clip_ratio/low_mean": 0.0,
|
| 244 |
+
"clip_ratio/low_min": 0.0,
|
| 245 |
+
"clip_ratio/region_mean": 0.0,
|
| 246 |
+
"completions/clipped_ratio": 0.765625,
|
| 247 |
+
"completions/max_length": 1750.0,
|
| 248 |
+
"completions/max_terminated_length": 882.0,
|
| 249 |
+
"completions/mean_length": 834.359375,
|
| 250 |
+
"completions/mean_terminated_length": 538.4000244140625,
|
| 251 |
+
"completions/min_length": 142.0,
|
| 252 |
+
"completions/min_terminated_length": 142.0,
|
| 253 |
+
"entropy": 0.37804630119353533,
|
| 254 |
+
"epoch": 0.056,
|
| 255 |
+
"frac_reward_zero_std": 0.0,
|
| 256 |
+
"grad_norm": 0.011092925444245338,
|
| 257 |
+
"kl": 0.0017349459521938115,
|
| 258 |
+
"learning_rate": 4.948824853131237e-06,
|
| 259 |
+
"loss": 0.0135,
|
| 260 |
+
"num_tokens": 353898.0,
|
| 261 |
+
"reward": 0.1875,
|
| 262 |
+
"reward_std": 0.41170334815979004,
|
| 263 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.1875,
|
| 264 |
+
"rewards/alfworld_rollout_reward_func/std": 0.4403570294380188,
|
| 265 |
+
"rollout/action_tokens_mean": 834.359375,
|
| 266 |
+
"rollout/episode_turns_mean": 27.0625,
|
| 267 |
+
"rollout/mismatch_mean": 0.015625,
|
| 268 |
+
"rollout/mismatch_ratio": 0.015625,
|
| 269 |
+
"rollout/truncated_ratio": 0.765625,
|
| 270 |
+
"sampling/importance_sampling_ratio/max": 2.2279603481292725,
|
| 271 |
+
"sampling/importance_sampling_ratio/mean": 0.46820664405822754,
|
| 272 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 273 |
+
"sampling/sampling_logp_difference/max": 3.733177900314331,
|
| 274 |
+
"sampling/sampling_logp_difference/mean": 0.022584954276680946,
|
| 275 |
+
"step": 7,
|
| 276 |
+
"step_time": 372.10799923799914
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"clip_ratio/high_max": 0.0,
|
| 280 |
+
"clip_ratio/high_mean": 0.0,
|
| 281 |
+
"clip_ratio/low_mean": 0.0,
|
| 282 |
+
"clip_ratio/low_min": 0.0,
|
| 283 |
+
"clip_ratio/region_mean": 0.0,
|
| 284 |
+
"completions/clipped_ratio": 0.765625,
|
| 285 |
+
"completions/max_length": 1682.0,
|
| 286 |
+
"completions/max_terminated_length": 697.0,
|
| 287 |
+
"completions/mean_length": 786.5625,
|
| 288 |
+
"completions/mean_terminated_length": 380.8000183105469,
|
| 289 |
+
"completions/min_length": 180.0,
|
| 290 |
+
"completions/min_terminated_length": 180.0,
|
| 291 |
+
"entropy": 0.32334376219660044,
|
| 292 |
+
"epoch": 0.064,
|
| 293 |
+
"frac_reward_zero_std": 0.0,
|
| 294 |
+
"grad_norm": 0.010468119755387306,
|
| 295 |
+
"kl": 0.0017176041819766397,
|
| 296 |
+
"learning_rate": 4.920192797165511e-06,
|
| 297 |
+
"loss": -0.0059,
|
| 298 |
+
"num_tokens": 404238.0,
|
| 299 |
+
"reward": 0.1939062476158142,
|
| 300 |
+
"reward_std": 0.31658345460891724,
|
| 301 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.1939062476158142,
|
| 302 |
+
"rewards/alfworld_rollout_reward_func/std": 0.44521304965019226,
|
| 303 |
+
"rollout/action_tokens_mean": 786.5625,
|
| 304 |
+
"rollout/episode_turns_mean": 25.984375,
|
| 305 |
+
"rollout/mismatch_mean": 0.0,
|
| 306 |
+
"rollout/mismatch_ratio": 0.0,
|
| 307 |
+
"rollout/truncated_ratio": 0.765625,
|
| 308 |
+
"sampling/importance_sampling_ratio/max": 2.8437609672546387,
|
| 309 |
+
"sampling/importance_sampling_ratio/mean": 0.6038376092910767,
|
| 310 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 311 |
+
"sampling/sampling_logp_difference/max": 2.8486413955688477,
|
| 312 |
+
"sampling/sampling_logp_difference/mean": 0.0203598253428936,
|
| 313 |
+
"step": 8,
|
| 314 |
+
"step_time": 434.73393120799847
|
| 315 |
+
},
|
| 316 |
+
{
|
| 317 |
+
"clip_ratio/high_max": 0.0,
|
| 318 |
+
"clip_ratio/high_mean": 0.0,
|
| 319 |
+
"clip_ratio/low_mean": 0.0,
|
| 320 |
+
"clip_ratio/low_min": 0.0,
|
| 321 |
+
"clip_ratio/region_mean": 0.0,
|
| 322 |
+
"completions/clipped_ratio": 0.75,
|
| 323 |
+
"completions/max_length": 1492.0,
|
| 324 |
+
"completions/max_terminated_length": 1027.0,
|
| 325 |
+
"completions/mean_length": 818.34375,
|
| 326 |
+
"completions/mean_terminated_length": 474.0625,
|
| 327 |
+
"completions/min_length": 192.0,
|
| 328 |
+
"completions/min_terminated_length": 192.0,
|
| 329 |
+
"entropy": 0.32139473129063845,
|
| 330 |
+
"epoch": 0.072,
|
| 331 |
+
"frac_reward_zero_std": 0.0,
|
| 332 |
+
"grad_norm": 0.006268487311899662,
|
| 333 |
+
"kl": 0.0026504553206905257,
|
| 334 |
+
"learning_rate": 4.8853481410001225e-06,
|
| 335 |
+
"loss": -0.0089,
|
| 336 |
+
"num_tokens": 456612.0,
|
| 337 |
+
"reward": 0.19500000774860382,
|
| 338 |
+
"reward_std": 0.29811495542526245,
|
| 339 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.19500000774860382,
|
| 340 |
+
"rewards/alfworld_rollout_reward_func/std": 0.46079298853874207,
|
| 341 |
+
"rollout/action_tokens_mean": 818.34375,
|
| 342 |
+
"rollout/episode_turns_mean": 26.109375,
|
| 343 |
+
"rollout/mismatch_mean": 0.0,
|
| 344 |
+
"rollout/mismatch_ratio": 0.0,
|
| 345 |
+
"rollout/truncated_ratio": 0.75,
|
| 346 |
+
"sampling/importance_sampling_ratio/max": 2.6596250534057617,
|
| 347 |
+
"sampling/importance_sampling_ratio/mean": 0.42990007996559143,
|
| 348 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 349 |
+
"sampling/sampling_logp_difference/max": 3.3629698753356934,
|
| 350 |
+
"sampling/sampling_logp_difference/mean": 0.019470183178782463,
|
| 351 |
+
"step": 9,
|
| 352 |
+
"step_time": 399.7356371579963
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"clip_ratio/high_max": 0.0,
|
| 356 |
+
"clip_ratio/high_mean": 0.0,
|
| 357 |
+
"clip_ratio/low_mean": 0.0,
|
| 358 |
+
"clip_ratio/low_min": 0.0,
|
| 359 |
+
"clip_ratio/region_mean": 0.0,
|
| 360 |
+
"completions/clipped_ratio": 0.59375,
|
| 361 |
+
"completions/max_length": 1381.0,
|
| 362 |
+
"completions/max_terminated_length": 1015.0,
|
| 363 |
+
"completions/mean_length": 710.296875,
|
| 364 |
+
"completions/mean_terminated_length": 485.5384826660156,
|
| 365 |
+
"completions/min_length": 193.0,
|
| 366 |
+
"completions/min_terminated_length": 193.0,
|
| 367 |
+
"entropy": 0.34738565888255835,
|
| 368 |
+
"epoch": 0.08,
|
| 369 |
+
"frac_reward_zero_std": 0.0,
|
| 370 |
+
"grad_norm": 0.010129230096936226,
|
| 371 |
+
"kl": 0.0015055066687637009,
|
| 372 |
+
"learning_rate": 4.844380330367701e-06,
|
| 373 |
+
"loss": 0.0042,
|
| 374 |
+
"num_tokens": 502071.0,
|
| 375 |
+
"reward": 0.3684375286102295,
|
| 376 |
+
"reward_std": 0.3336261808872223,
|
| 377 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.3684375286102295,
|
| 378 |
+
"rewards/alfworld_rollout_reward_func/std": 0.5042713284492493,
|
| 379 |
+
"rollout/action_tokens_mean": 710.296875,
|
| 380 |
+
"rollout/episode_turns_mean": 24.859375,
|
| 381 |
+
"rollout/mismatch_mean": 0.015625,
|
| 382 |
+
"rollout/mismatch_ratio": 0.015625,
|
| 383 |
+
"rollout/truncated_ratio": 0.59375,
|
| 384 |
+
"sampling/importance_sampling_ratio/max": 2.386782646179199,
|
| 385 |
+
"sampling/importance_sampling_ratio/mean": 0.5169863104820251,
|
| 386 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 387 |
+
"sampling/sampling_logp_difference/max": 3.2723636627197266,
|
| 388 |
+
"sampling/sampling_logp_difference/mean": 0.022041790187358856,
|
| 389 |
+
"step": 10,
|
| 390 |
+
"step_time": 394.5470729360013
|
| 391 |
+
},
|
| 392 |
+
{
|
| 393 |
+
"clip_ratio/high_max": 0.0,
|
| 394 |
+
"clip_ratio/high_mean": 0.0,
|
| 395 |
+
"clip_ratio/low_mean": 0.0,
|
| 396 |
+
"clip_ratio/low_min": 0.0,
|
| 397 |
+
"clip_ratio/region_mean": 0.0,
|
| 398 |
+
"completions/clipped_ratio": 0.859375,
|
| 399 |
+
"completions/max_length": 1352.0,
|
| 400 |
+
"completions/max_terminated_length": 782.0,
|
| 401 |
+
"completions/mean_length": 881.84375,
|
| 402 |
+
"completions/mean_terminated_length": 523.4444580078125,
|
| 403 |
+
"completions/min_length": 224.0,
|
| 404 |
+
"completions/min_terminated_length": 224.0,
|
| 405 |
+
"entropy": 0.3616171991452575,
|
| 406 |
+
"epoch": 0.088,
|
| 407 |
+
"frac_reward_zero_std": 0.0,
|
| 408 |
+
"grad_norm": 0.00803722906857729,
|
| 409 |
+
"kl": 0.0017023698201228399,
|
| 410 |
+
"learning_rate": 4.797394529050577e-06,
|
| 411 |
+
"loss": 0.0111,
|
| 412 |
+
"num_tokens": 558509.0,
|
| 413 |
+
"reward": 0.08921875059604645,
|
| 414 |
+
"reward_std": 0.2777005434036255,
|
| 415 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.08921875059604645,
|
| 416 |
+
"rewards/alfworld_rollout_reward_func/std": 0.36485835909843445,
|
| 417 |
+
"rollout/action_tokens_mean": 881.84375,
|
| 418 |
+
"rollout/episode_turns_mean": 28.40625,
|
| 419 |
+
"rollout/mismatch_mean": 0.0,
|
| 420 |
+
"rollout/mismatch_ratio": 0.0,
|
| 421 |
+
"rollout/truncated_ratio": 0.859375,
|
| 422 |
+
"sampling/importance_sampling_ratio/max": 2.7719504833221436,
|
| 423 |
+
"sampling/importance_sampling_ratio/mean": 0.4752790629863739,
|
| 424 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 425 |
+
"sampling/sampling_logp_difference/max": 3.038581132888794,
|
| 426 |
+
"sampling/sampling_logp_difference/mean": 0.02142297849059105,
|
| 427 |
+
"step": 11,
|
| 428 |
+
"step_time": 396.1487058620023
|
| 429 |
+
},
|
| 430 |
+
{
|
| 431 |
+
"clip_ratio/high_max": 0.0,
|
| 432 |
+
"clip_ratio/high_mean": 0.0,
|
| 433 |
+
"clip_ratio/low_mean": 0.0,
|
| 434 |
+
"clip_ratio/low_min": 0.0,
|
| 435 |
+
"clip_ratio/region_mean": 0.0,
|
| 436 |
+
"completions/clipped_ratio": 0.671875,
|
| 437 |
+
"completions/max_length": 2292.0,
|
| 438 |
+
"completions/max_terminated_length": 901.0,
|
| 439 |
+
"completions/mean_length": 860.28125,
|
| 440 |
+
"completions/mean_terminated_length": 460.76190185546875,
|
| 441 |
+
"completions/min_length": 116.0,
|
| 442 |
+
"completions/min_terminated_length": 116.0,
|
| 443 |
+
"entropy": 0.35516145126894116,
|
| 444 |
+
"epoch": 0.096,
|
| 445 |
+
"frac_reward_zero_std": 0.0,
|
| 446 |
+
"grad_norm": 0.011235510930418968,
|
| 447 |
+
"kl": 0.0016268756971840048,
|
| 448 |
+
"learning_rate": 4.744511348926855e-06,
|
| 449 |
+
"loss": 0.0048,
|
| 450 |
+
"num_tokens": 613567.0,
|
| 451 |
+
"reward": 0.26890623569488525,
|
| 452 |
+
"reward_std": 0.41516801714897156,
|
| 453 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.26890626549720764,
|
| 454 |
+
"rewards/alfworld_rollout_reward_func/std": 0.4936746656894684,
|
| 455 |
+
"rollout/action_tokens_mean": 860.28125,
|
| 456 |
+
"rollout/episode_turns_mean": 25.484375,
|
| 457 |
+
"rollout/mismatch_mean": 0.0,
|
| 458 |
+
"rollout/mismatch_ratio": 0.0,
|
| 459 |
+
"rollout/truncated_ratio": 0.671875,
|
| 460 |
+
"sampling/importance_sampling_ratio/max": 2.7596683502197266,
|
| 461 |
+
"sampling/importance_sampling_ratio/mean": 0.5103189945220947,
|
| 462 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 463 |
+
"sampling/sampling_logp_difference/max": 2.6376895904541016,
|
| 464 |
+
"sampling/sampling_logp_difference/mean": 0.02156790718436241,
|
| 465 |
+
"step": 12,
|
| 466 |
+
"step_time": 421.574981908002
|
| 467 |
+
},
|
| 468 |
+
{
|
| 469 |
+
"clip_ratio/high_max": 0.0,
|
| 470 |
+
"clip_ratio/high_mean": 0.0,
|
| 471 |
+
"clip_ratio/low_mean": 0.0,
|
| 472 |
+
"clip_ratio/low_min": 0.0,
|
| 473 |
+
"clip_ratio/region_mean": 0.0,
|
| 474 |
+
"completions/clipped_ratio": 0.8125,
|
| 475 |
+
"completions/max_length": 1382.0,
|
| 476 |
+
"completions/max_terminated_length": 775.0,
|
| 477 |
+
"completions/mean_length": 836.53125,
|
| 478 |
+
"completions/mean_terminated_length": 586.4166870117188,
|
| 479 |
+
"completions/min_length": 402.0,
|
| 480 |
+
"completions/min_terminated_length": 402.0,
|
| 481 |
+
"entropy": 0.35410969890654087,
|
| 482 |
+
"epoch": 0.104,
|
| 483 |
+
"frac_reward_zero_std": 0.0,
|
| 484 |
+
"grad_norm": 0.010335148312151432,
|
| 485 |
+
"kl": 0.0018077169770549517,
|
| 486 |
+
"learning_rate": 4.685866540361456e-06,
|
| 487 |
+
"loss": 0.0068,
|
| 488 |
+
"num_tokens": 667105.0,
|
| 489 |
+
"reward": 0.14281249046325684,
|
| 490 |
+
"reward_std": 0.3198840916156769,
|
| 491 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.14281249046325684,
|
| 492 |
+
"rewards/alfworld_rollout_reward_func/std": 0.3984073996543884,
|
| 493 |
+
"rollout/action_tokens_mean": 836.53125,
|
| 494 |
+
"rollout/episode_turns_mean": 28.453125,
|
| 495 |
+
"rollout/mismatch_mean": 0.0,
|
| 496 |
+
"rollout/mismatch_ratio": 0.0,
|
| 497 |
+
"rollout/truncated_ratio": 0.8125,
|
| 498 |
+
"sampling/importance_sampling_ratio/max": 2.6870784759521484,
|
| 499 |
+
"sampling/importance_sampling_ratio/mean": 0.6008636951446533,
|
| 500 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 501 |
+
"sampling/sampling_logp_difference/max": 2.14093017578125,
|
| 502 |
+
"sampling/sampling_logp_difference/mean": 0.021617209538817406,
|
| 503 |
+
"step": 13,
|
| 504 |
+
"step_time": 369.507772967002
|
| 505 |
+
},
|
| 506 |
+
{
|
| 507 |
+
"clip_ratio/high_max": 0.0,
|
| 508 |
+
"clip_ratio/high_mean": 0.0,
|
| 509 |
+
"clip_ratio/low_mean": 0.0,
|
| 510 |
+
"clip_ratio/low_min": 0.0,
|
| 511 |
+
"clip_ratio/region_mean": 0.0,
|
| 512 |
+
"completions/clipped_ratio": 0.6875,
|
| 513 |
+
"completions/max_length": 1584.0,
|
| 514 |
+
"completions/max_terminated_length": 1063.0,
|
| 515 |
+
"completions/mean_length": 793.703125,
|
| 516 |
+
"completions/mean_terminated_length": 525.4500122070312,
|
| 517 |
+
"completions/min_length": 158.0,
|
| 518 |
+
"completions/min_terminated_length": 158.0,
|
| 519 |
+
"entropy": 0.34002805408090353,
|
| 520 |
+
"epoch": 0.112,
|
| 521 |
+
"frac_reward_zero_std": 0.0,
|
| 522 |
+
"grad_norm": 0.00711849657818675,
|
| 523 |
+
"kl": 0.0019163258293701801,
|
| 524 |
+
"learning_rate": 4.621610643736878e-06,
|
| 525 |
+
"loss": 0.0062,
|
| 526 |
+
"num_tokens": 717902.0,
|
| 527 |
+
"reward": 0.2626562714576721,
|
| 528 |
+
"reward_std": 0.3680095076560974,
|
| 529 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.26265624165534973,
|
| 530 |
+
"rewards/alfworld_rollout_reward_func/std": 0.489940881729126,
|
| 531 |
+
"rollout/action_tokens_mean": 793.703125,
|
| 532 |
+
"rollout/episode_turns_mean": 26.28125,
|
| 533 |
+
"rollout/mismatch_mean": 0.0,
|
| 534 |
+
"rollout/mismatch_ratio": 0.0,
|
| 535 |
+
"rollout/truncated_ratio": 0.6875,
|
| 536 |
+
"sampling/importance_sampling_ratio/max": 2.815065860748291,
|
| 537 |
+
"sampling/importance_sampling_ratio/mean": 0.45154738426208496,
|
| 538 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 539 |
+
"sampling/sampling_logp_difference/max": 2.7529265880584717,
|
| 540 |
+
"sampling/sampling_logp_difference/mean": 0.0205212514847517,
|
| 541 |
+
"step": 14,
|
| 542 |
+
"step_time": 327.6827599140015
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"clip_ratio/high_max": 0.0,
|
| 546 |
+
"clip_ratio/high_mean": 0.0,
|
| 547 |
+
"clip_ratio/low_mean": 0.0,
|
| 548 |
+
"clip_ratio/low_min": 0.0,
|
| 549 |
+
"clip_ratio/region_mean": 0.0,
|
| 550 |
+
"completions/clipped_ratio": 0.84375,
|
| 551 |
+
"completions/max_length": 1814.0,
|
| 552 |
+
"completions/max_terminated_length": 890.0,
|
| 553 |
+
"completions/mean_length": 909.109375,
|
| 554 |
+
"completions/mean_terminated_length": 528.7999877929688,
|
| 555 |
+
"completions/min_length": 242.0,
|
| 556 |
+
"completions/min_terminated_length": 242.0,
|
| 557 |
+
"entropy": 0.35556588135659695,
|
| 558 |
+
"epoch": 0.12,
|
| 559 |
+
"frac_reward_zero_std": 0.0,
|
| 560 |
+
"grad_norm": 0.010462122038006783,
|
| 561 |
+
"kl": 0.0016676104332873365,
|
| 562 |
+
"learning_rate": 4.551908603018191e-06,
|
| 563 |
+
"loss": -0.0076,
|
| 564 |
+
"num_tokens": 776085.0,
|
| 565 |
+
"reward": 0.10140626132488251,
|
| 566 |
+
"reward_std": 0.36953580379486084,
|
| 567 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.10140625387430191,
|
| 568 |
+
"rewards/alfworld_rollout_reward_func/std": 0.38891327381134033,
|
| 569 |
+
"rollout/action_tokens_mean": 909.109375,
|
| 570 |
+
"rollout/episode_turns_mean": 28.0,
|
| 571 |
+
"rollout/mismatch_mean": 0.015625,
|
| 572 |
+
"rollout/mismatch_ratio": 0.015625,
|
| 573 |
+
"rollout/truncated_ratio": 0.84375,
|
| 574 |
+
"sampling/importance_sampling_ratio/max": 2.0437681674957275,
|
| 575 |
+
"sampling/importance_sampling_ratio/mean": 0.3665631115436554,
|
| 576 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 577 |
+
"sampling/sampling_logp_difference/max": 4.642125606536865,
|
| 578 |
+
"sampling/sampling_logp_difference/mean": 0.021498428657650948,
|
| 579 |
+
"step": 15,
|
| 580 |
+
"step_time": 409.45475878100024
|
| 581 |
+
},
|
| 582 |
+
{
|
| 583 |
+
"clip_ratio/high_max": 0.0,
|
| 584 |
+
"clip_ratio/high_mean": 0.0,
|
| 585 |
+
"clip_ratio/low_mean": 0.0,
|
| 586 |
+
"clip_ratio/low_min": 0.0,
|
| 587 |
+
"clip_ratio/region_mean": 0.0,
|
| 588 |
+
"completions/clipped_ratio": 0.703125,
|
| 589 |
+
"completions/max_length": 2069.0,
|
| 590 |
+
"completions/max_terminated_length": 815.0,
|
| 591 |
+
"completions/mean_length": 858.484375,
|
| 592 |
+
"completions/mean_terminated_length": 363.0,
|
| 593 |
+
"completions/min_length": 128.0,
|
| 594 |
+
"completions/min_terminated_length": 128.0,
|
| 595 |
+
"entropy": 0.3426384939812124,
|
| 596 |
+
"epoch": 0.128,
|
| 597 |
+
"frac_reward_zero_std": 0.0,
|
| 598 |
+
"grad_norm": 0.007739651948213577,
|
| 599 |
+
"kl": 0.0015719706807431066,
|
| 600 |
+
"learning_rate": 4.476939342344246e-06,
|
| 601 |
+
"loss": -0.002,
|
| 602 |
+
"num_tokens": 831028.0,
|
| 603 |
+
"reward": 0.2515625059604645,
|
| 604 |
+
"reward_std": 0.4047408103942871,
|
| 605 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.2515625059604645,
|
| 606 |
+
"rewards/alfworld_rollout_reward_func/std": 0.48498478531837463,
|
| 607 |
+
"rollout/action_tokens_mean": 858.484375,
|
| 608 |
+
"rollout/episode_turns_mean": 25.015625,
|
| 609 |
+
"rollout/mismatch_mean": 0.0,
|
| 610 |
+
"rollout/mismatch_ratio": 0.0,
|
| 611 |
+
"rollout/truncated_ratio": 0.703125,
|
| 612 |
+
"sampling/importance_sampling_ratio/max": 2.197270631790161,
|
| 613 |
+
"sampling/importance_sampling_ratio/mean": 0.3564271330833435,
|
| 614 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 615 |
+
"sampling/sampling_logp_difference/max": 1.3733601570129395,
|
| 616 |
+
"sampling/sampling_logp_difference/mean": 0.021193569526076317,
|
| 617 |
+
"step": 16,
|
| 618 |
+
"step_time": 341.3529842470016
|
| 619 |
+
},
|
| 620 |
+
{
|
| 621 |
+
"clip_ratio/high_max": 0.0,
|
| 622 |
+
"clip_ratio/high_mean": 0.0,
|
| 623 |
+
"clip_ratio/low_mean": 0.0,
|
| 624 |
+
"clip_ratio/low_min": 0.0,
|
| 625 |
+
"clip_ratio/region_mean": 0.0,
|
| 626 |
+
"completions/clipped_ratio": 0.765625,
|
| 627 |
+
"completions/max_length": 1344.0,
|
| 628 |
+
"completions/max_terminated_length": 872.0,
|
| 629 |
+
"completions/mean_length": 800.890625,
|
| 630 |
+
"completions/mean_terminated_length": 410.0000305175781,
|
| 631 |
+
"completions/min_length": 199.0,
|
| 632 |
+
"completions/min_terminated_length": 199.0,
|
| 633 |
+
"entropy": 0.3335589300841093,
|
| 634 |
+
"epoch": 0.136,
|
| 635 |
+
"frac_reward_zero_std": 0.0,
|
| 636 |
+
"grad_norm": 1.4890336990356445,
|
| 637 |
+
"kl": 0.8330444995917787,
|
| 638 |
+
"learning_rate": 4.396895306731978e-06,
|
| 639 |
+
"loss": 0.0005,
|
| 640 |
+
"num_tokens": 882285.0,
|
| 641 |
+
"reward": 0.18125000596046448,
|
| 642 |
+
"reward_std": 0.24295468628406525,
|
| 643 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.18124999105930328,
|
| 644 |
+
"rewards/alfworld_rollout_reward_func/std": 0.4482647478580475,
|
| 645 |
+
"rollout/action_tokens_mean": 800.890625,
|
| 646 |
+
"rollout/episode_turns_mean": 26.265625,
|
| 647 |
+
"rollout/mismatch_mean": 0.0,
|
| 648 |
+
"rollout/mismatch_ratio": 0.0,
|
| 649 |
+
"rollout/truncated_ratio": 0.765625,
|
| 650 |
+
"sampling/importance_sampling_ratio/max": 2.3350934982299805,
|
| 651 |
+
"sampling/importance_sampling_ratio/mean": 0.37133079767227173,
|
| 652 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 653 |
+
"sampling/sampling_logp_difference/max": 10.240796089172363,
|
| 654 |
+
"sampling/sampling_logp_difference/mean": 0.020599324256181717,
|
| 655 |
+
"step": 17,
|
| 656 |
+
"step_time": 436.20165634099976
|
| 657 |
+
},
|
| 658 |
+
{
|
| 659 |
+
"clip_ratio/high_max": 0.0,
|
| 660 |
+
"clip_ratio/high_mean": 0.0,
|
| 661 |
+
"clip_ratio/low_mean": 0.0,
|
| 662 |
+
"clip_ratio/low_min": 0.0,
|
| 663 |
+
"clip_ratio/region_mean": 0.0,
|
| 664 |
+
"completions/clipped_ratio": 0.890625,
|
| 665 |
+
"completions/max_length": 1359.0,
|
| 666 |
+
"completions/max_terminated_length": 872.0,
|
| 667 |
+
"completions/mean_length": 864.640625,
|
| 668 |
+
"completions/mean_terminated_length": 638.7142944335938,
|
| 669 |
+
"completions/min_length": 240.0,
|
| 670 |
+
"completions/min_terminated_length": 240.0,
|
| 671 |
+
"entropy": 0.3253911091014743,
|
| 672 |
+
"epoch": 0.144,
|
| 673 |
+
"frac_reward_zero_std": 0.0,
|
| 674 |
+
"grad_norm": 0.007197697646915913,
|
| 675 |
+
"kl": 0.0016915635187615408,
|
| 676 |
+
"learning_rate": 4.3119819680728e-06,
|
| 677 |
+
"loss": -0.0099,
|
| 678 |
+
"num_tokens": 937622.0,
|
| 679 |
+
"reward": 0.06968750059604645,
|
| 680 |
+
"reward_std": 0.19933855533599854,
|
| 681 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.06968750059604645,
|
| 682 |
+
"rewards/alfworld_rollout_reward_func/std": 0.3224163353443146,
|
| 683 |
+
"rollout/action_tokens_mean": 864.640625,
|
| 684 |
+
"rollout/episode_turns_mean": 28.9375,
|
| 685 |
+
"rollout/mismatch_mean": 0.0,
|
| 686 |
+
"rollout/mismatch_ratio": 0.0,
|
| 687 |
+
"rollout/truncated_ratio": 0.890625,
|
| 688 |
+
"sampling/importance_sampling_ratio/max": 2.2717995643615723,
|
| 689 |
+
"sampling/importance_sampling_ratio/mean": 0.5041627287864685,
|
| 690 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 691 |
+
"sampling/sampling_logp_difference/max": 2.0254077911376953,
|
| 692 |
+
"sampling/sampling_logp_difference/mean": 0.019858187064528465,
|
| 693 |
+
"step": 18,
|
| 694 |
+
"step_time": 437.1889309570033
|
| 695 |
+
},
|
| 696 |
+
{
|
| 697 |
+
"clip_ratio/high_max": 0.0,
|
| 698 |
+
"clip_ratio/high_mean": 0.0,
|
| 699 |
+
"clip_ratio/low_mean": 0.0,
|
| 700 |
+
"clip_ratio/low_min": 0.0,
|
| 701 |
+
"clip_ratio/region_mean": 0.0,
|
| 702 |
+
"completions/clipped_ratio": 0.703125,
|
| 703 |
+
"completions/max_length": 2201.0,
|
| 704 |
+
"completions/max_terminated_length": 1115.0,
|
| 705 |
+
"completions/mean_length": 844.5,
|
| 706 |
+
"completions/mean_terminated_length": 540.631591796875,
|
| 707 |
+
"completions/min_length": 140.0,
|
| 708 |
+
"completions/min_terminated_length": 140.0,
|
| 709 |
+
"entropy": 0.33306339103728533,
|
| 710 |
+
"epoch": 0.152,
|
| 711 |
+
"frac_reward_zero_std": 0.0,
|
| 712 |
+
"grad_norm": 0.010224551893770695,
|
| 713 |
+
"kl": 0.001574573227117071,
|
| 714 |
+
"learning_rate": 4.222417297689217e-06,
|
| 715 |
+
"loss": 0.0213,
|
| 716 |
+
"num_tokens": 991670.0,
|
| 717 |
+
"reward": 0.24437499046325684,
|
| 718 |
+
"reward_std": 0.42425790429115295,
|
| 719 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.24437500536441803,
|
| 720 |
+
"rewards/alfworld_rollout_reward_func/std": 0.48038968443870544,
|
| 721 |
+
"rollout/action_tokens_mean": 844.5,
|
| 722 |
+
"rollout/episode_turns_mean": 26.171875,
|
| 723 |
+
"rollout/mismatch_mean": 0.0,
|
| 724 |
+
"rollout/mismatch_ratio": 0.0,
|
| 725 |
+
"rollout/truncated_ratio": 0.703125,
|
| 726 |
+
"sampling/importance_sampling_ratio/max": 2.5866730213165283,
|
| 727 |
+
"sampling/importance_sampling_ratio/mean": 0.5376668572425842,
|
| 728 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 729 |
+
"sampling/sampling_logp_difference/max": 1.632045865058899,
|
| 730 |
+
"sampling/sampling_logp_difference/mean": 0.01941317319869995,
|
| 731 |
+
"step": 19,
|
| 732 |
+
"step_time": 348.9997736020032
|
| 733 |
+
},
|
| 734 |
+
{
|
| 735 |
+
"clip_ratio/high_max": 0.0,
|
| 736 |
+
"clip_ratio/high_mean": 0.0,
|
| 737 |
+
"clip_ratio/low_mean": 0.0,
|
| 738 |
+
"clip_ratio/low_min": 0.0,
|
| 739 |
+
"clip_ratio/region_mean": 0.0,
|
| 740 |
+
"completions/clipped_ratio": 0.75,
|
| 741 |
+
"completions/max_length": 1764.0,
|
| 742 |
+
"completions/max_terminated_length": 1085.0,
|
| 743 |
+
"completions/mean_length": 937.640625,
|
| 744 |
+
"completions/mean_terminated_length": 530.6875,
|
| 745 |
+
"completions/min_length": 201.0,
|
| 746 |
+
"completions/min_terminated_length": 201.0,
|
| 747 |
+
"entropy": 0.3477782104164362,
|
| 748 |
+
"epoch": 0.16,
|
| 749 |
+
"frac_reward_zero_std": 0.0,
|
| 750 |
+
"grad_norm": 0.010612000711262226,
|
| 751 |
+
"kl": 0.001602184345756541,
|
| 752 |
+
"learning_rate": 4.128431206805556e-06,
|
| 753 |
+
"loss": 0.0044,
|
| 754 |
+
"num_tokens": 1051679.0,
|
| 755 |
+
"reward": 0.1901562511920929,
|
| 756 |
+
"reward_std": 0.39348262548446655,
|
| 757 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.1901562511920929,
|
| 758 |
+
"rewards/alfworld_rollout_reward_func/std": 0.4530303478240967,
|
| 759 |
+
"rollout/action_tokens_mean": 937.640625,
|
| 760 |
+
"rollout/episode_turns_mean": 26.6875,
|
| 761 |
+
"rollout/mismatch_mean": 0.0,
|
| 762 |
+
"rollout/mismatch_ratio": 0.0,
|
| 763 |
+
"rollout/truncated_ratio": 0.75,
|
| 764 |
+
"sampling/importance_sampling_ratio/max": 2.5002288818359375,
|
| 765 |
+
"sampling/importance_sampling_ratio/mean": 0.4413934350013733,
|
| 766 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 767 |
+
"sampling/sampling_logp_difference/max": 2.34731388092041,
|
| 768 |
+
"sampling/sampling_logp_difference/mean": 0.0198683924973011,
|
| 769 |
+
"step": 20,
|
| 770 |
+
"step_time": 353.7044870629943
|
| 771 |
+
},
|
| 772 |
+
{
|
| 773 |
+
"clip_ratio/high_max": 0.0,
|
| 774 |
+
"clip_ratio/high_mean": 0.0,
|
| 775 |
+
"clip_ratio/low_mean": 0.0,
|
| 776 |
+
"clip_ratio/low_min": 0.0,
|
| 777 |
+
"clip_ratio/region_mean": 0.0,
|
| 778 |
+
"completions/clipped_ratio": 0.65625,
|
| 779 |
+
"completions/max_length": 1475.0,
|
| 780 |
+
"completions/max_terminated_length": 939.0,
|
| 781 |
+
"completions/mean_length": 800.453125,
|
| 782 |
+
"completions/mean_terminated_length": 418.0909118652344,
|
| 783 |
+
"completions/min_length": 99.0,
|
| 784 |
+
"completions/min_terminated_length": 99.0,
|
| 785 |
+
"entropy": 0.36278699059039354,
|
| 786 |
+
"epoch": 0.168,
|
| 787 |
+
"frac_reward_zero_std": 0.0,
|
| 788 |
+
"grad_norm": 0.010538731701672077,
|
| 789 |
+
"kl": 0.001873640143458033,
|
| 790 |
+
"learning_rate": 4.030264956369158e-06,
|
| 791 |
+
"loss": -0.0018,
|
| 792 |
+
"num_tokens": 1102908.0,
|
| 793 |
+
"reward": 0.2993749976158142,
|
| 794 |
+
"reward_std": 0.40504124760627747,
|
| 795 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.2993749976158142,
|
| 796 |
+
"rewards/alfworld_rollout_reward_func/std": 0.4982314109802246,
|
| 797 |
+
"rollout/action_tokens_mean": 800.453125,
|
| 798 |
+
"rollout/episode_turns_mean": 24.4375,
|
| 799 |
+
"rollout/mismatch_mean": 0.0,
|
| 800 |
+
"rollout/mismatch_ratio": 0.0,
|
| 801 |
+
"rollout/truncated_ratio": 0.65625,
|
| 802 |
+
"sampling/importance_sampling_ratio/max": 2.447692632675171,
|
| 803 |
+
"sampling/importance_sampling_ratio/mean": 0.448123574256897,
|
| 804 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 805 |
+
"sampling/sampling_logp_difference/max": 1.2475838661193848,
|
| 806 |
+
"sampling/sampling_logp_difference/mean": 0.022293493151664734,
|
| 807 |
+
"step": 21,
|
| 808 |
+
"step_time": 452.2219315199982
|
| 809 |
+
},
|
| 810 |
+
{
|
| 811 |
+
"clip_ratio/high_max": 0.0,
|
| 812 |
+
"clip_ratio/high_mean": 0.0,
|
| 813 |
+
"clip_ratio/low_mean": 0.0,
|
| 814 |
+
"clip_ratio/low_min": 0.0,
|
| 815 |
+
"clip_ratio/region_mean": 0.0,
|
| 816 |
+
"completions/clipped_ratio": 0.625,
|
| 817 |
+
"completions/max_length": 1566.0,
|
| 818 |
+
"completions/max_terminated_length": 929.0,
|
| 819 |
+
"completions/mean_length": 743.703125,
|
| 820 |
+
"completions/mean_terminated_length": 460.91668701171875,
|
| 821 |
+
"completions/min_length": 137.0,
|
| 822 |
+
"completions/min_terminated_length": 137.0,
|
| 823 |
+
"entropy": 0.3329707160592079,
|
| 824 |
+
"epoch": 0.176,
|
| 825 |
+
"frac_reward_zero_std": 0.0,
|
| 826 |
+
"grad_norm": 0.007643942255526781,
|
| 827 |
+
"kl": 0.0019213874111301266,
|
| 828 |
+
"learning_rate": 3.9281705377369814e-06,
|
| 829 |
+
"loss": 0.0059,
|
| 830 |
+
"num_tokens": 1150505.0,
|
| 831 |
+
"reward": 0.32625001668930054,
|
| 832 |
+
"reward_std": 0.4726526141166687,
|
| 833 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.32624998688697815,
|
| 834 |
+
"rewards/alfworld_rollout_reward_func/std": 0.5121089816093445,
|
| 835 |
+
"rollout/action_tokens_mean": 743.703125,
|
| 836 |
+
"rollout/episode_turns_mean": 24.796875,
|
| 837 |
+
"rollout/mismatch_mean": 0.0,
|
| 838 |
+
"rollout/mismatch_ratio": 0.0,
|
| 839 |
+
"rollout/truncated_ratio": 0.625,
|
| 840 |
+
"sampling/importance_sampling_ratio/max": 2.206357479095459,
|
| 841 |
+
"sampling/importance_sampling_ratio/mean": 0.4393410086631775,
|
| 842 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 843 |
+
"sampling/sampling_logp_difference/max": 2.366598129272461,
|
| 844 |
+
"sampling/sampling_logp_difference/mean": 0.020861441269516945,
|
| 845 |
+
"step": 22,
|
| 846 |
+
"step_time": 350.210106904995
|
| 847 |
+
},
|
| 848 |
+
{
|
| 849 |
+
"clip_ratio/high_max": 0.0,
|
| 850 |
+
"clip_ratio/high_mean": 0.0,
|
| 851 |
+
"clip_ratio/low_mean": 0.0,
|
| 852 |
+
"clip_ratio/low_min": 0.0,
|
| 853 |
+
"clip_ratio/region_mean": 0.0,
|
| 854 |
+
"completions/clipped_ratio": 0.65625,
|
| 855 |
+
"completions/max_length": 1494.0,
|
| 856 |
+
"completions/max_terminated_length": 1159.0,
|
| 857 |
+
"completions/mean_length": 797.828125,
|
| 858 |
+
"completions/mean_terminated_length": 504.04547119140625,
|
| 859 |
+
"completions/min_length": 87.0,
|
| 860 |
+
"completions/min_terminated_length": 87.0,
|
| 861 |
+
"entropy": 0.35823060059919953,
|
| 862 |
+
"epoch": 0.184,
|
| 863 |
+
"frac_reward_zero_std": 0.0,
|
| 864 |
+
"grad_norm": 0.010937543585896492,
|
| 865 |
+
"kl": 0.00202080328745069,
|
| 866 |
+
"learning_rate": 3.8224100258174066e-06,
|
| 867 |
+
"loss": 0.0064,
|
| 868 |
+
"num_tokens": 1201566.0,
|
| 869 |
+
"reward": 0.3057812452316284,
|
| 870 |
+
"reward_std": 0.36121153831481934,
|
| 871 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.3057812452316284,
|
| 872 |
+
"rewards/alfworld_rollout_reward_func/std": 0.49343568086624146,
|
| 873 |
+
"rollout/action_tokens_mean": 797.828125,
|
| 874 |
+
"rollout/episode_turns_mean": 25.328125,
|
| 875 |
+
"rollout/mismatch_mean": 0.0,
|
| 876 |
+
"rollout/mismatch_ratio": 0.0,
|
| 877 |
+
"rollout/truncated_ratio": 0.65625,
|
| 878 |
+
"sampling/importance_sampling_ratio/max": 2.8112552165985107,
|
| 879 |
+
"sampling/importance_sampling_ratio/mean": 0.43328696489334106,
|
| 880 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 881 |
+
"sampling/sampling_logp_difference/max": 1.2014861106872559,
|
| 882 |
+
"sampling/sampling_logp_difference/mean": 0.022007007151842117,
|
| 883 |
+
"step": 23,
|
| 884 |
+
"step_time": 299.4183257309978
|
| 885 |
+
},
|
| 886 |
+
{
|
| 887 |
+
"clip_ratio/high_max": 0.0,
|
| 888 |
+
"clip_ratio/high_mean": 0.0,
|
| 889 |
+
"clip_ratio/low_mean": 0.0,
|
| 890 |
+
"clip_ratio/low_min": 0.0,
|
| 891 |
+
"clip_ratio/region_mean": 0.0,
|
| 892 |
+
"completions/clipped_ratio": 0.75,
|
| 893 |
+
"completions/max_length": 1409.0,
|
| 894 |
+
"completions/max_terminated_length": 962.0,
|
| 895 |
+
"completions/mean_length": 749.84375,
|
| 896 |
+
"completions/mean_terminated_length": 406.0,
|
| 897 |
+
"completions/min_length": 135.0,
|
| 898 |
+
"completions/min_terminated_length": 135.0,
|
| 899 |
+
"entropy": 0.314591265283525,
|
| 900 |
+
"epoch": 0.192,
|
| 901 |
+
"frac_reward_zero_std": 0.0,
|
| 902 |
+
"grad_norm": 0.008087356574833393,
|
| 903 |
+
"kl": 0.0017565299822308589,
|
| 904 |
+
"learning_rate": 3.7132549063277033e-06,
|
| 905 |
+
"loss": -0.0022,
|
| 906 |
+
"num_tokens": 1249556.0,
|
| 907 |
+
"reward": 0.20937500894069672,
|
| 908 |
+
"reward_std": 0.2735254764556885,
|
| 909 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.20937500894069672,
|
| 910 |
+
"rewards/alfworld_rollout_reward_func/std": 0.45049840211868286,
|
| 911 |
+
"rollout/action_tokens_mean": 749.84375,
|
| 912 |
+
"rollout/episode_turns_mean": 25.53125,
|
| 913 |
+
"rollout/mismatch_mean": 0.03125,
|
| 914 |
+
"rollout/mismatch_ratio": 0.03125,
|
| 915 |
+
"rollout/truncated_ratio": 0.75,
|
| 916 |
+
"sampling/importance_sampling_ratio/max": 2.822704792022705,
|
| 917 |
+
"sampling/importance_sampling_ratio/mean": 0.4837469756603241,
|
| 918 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 919 |
+
"sampling/sampling_logp_difference/max": 2.2067627906799316,
|
| 920 |
+
"sampling/sampling_logp_difference/mean": 0.021238919347524643,
|
| 921 |
+
"step": 24,
|
| 922 |
+
"step_time": 423.74345705999986
|
| 923 |
+
},
|
| 924 |
+
{
|
| 925 |
+
"clip_ratio/high_max": 0.0,
|
| 926 |
+
"clip_ratio/high_mean": 0.0,
|
| 927 |
+
"clip_ratio/low_mean": 0.0,
|
| 928 |
+
"clip_ratio/low_min": 0.0,
|
| 929 |
+
"clip_ratio/region_mean": 0.0,
|
| 930 |
+
"completions/clipped_ratio": 0.828125,
|
| 931 |
+
"completions/max_length": 1469.0,
|
| 932 |
+
"completions/max_terminated_length": 854.0,
|
| 933 |
+
"completions/mean_length": 757.296875,
|
| 934 |
+
"completions/mean_terminated_length": 445.2727355957031,
|
| 935 |
+
"completions/min_length": 211.0,
|
| 936 |
+
"completions/min_terminated_length": 211.0,
|
| 937 |
+
"entropy": 0.3146928045898676,
|
| 938 |
+
"epoch": 0.2,
|
| 939 |
+
"frac_reward_zero_std": 0.0,
|
| 940 |
+
"grad_norm": 0.005950183607637882,
|
| 941 |
+
"kl": 0.0024588965916336747,
|
| 942 |
+
"learning_rate": 3.600985378894086e-06,
|
| 943 |
+
"loss": -0.0029,
|
| 944 |
+
"num_tokens": 1298023.0,
|
| 945 |
+
"reward": 0.12843748927116394,
|
| 946 |
+
"reward_std": 0.3103031814098358,
|
| 947 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.12843750417232513,
|
| 948 |
+
"rewards/alfworld_rollout_reward_func/std": 0.39419689774513245,
|
| 949 |
+
"rollout/action_tokens_mean": 757.296875,
|
| 950 |
+
"rollout/episode_turns_mean": 27.515625,
|
| 951 |
+
"rollout/mismatch_mean": 0.0,
|
| 952 |
+
"rollout/mismatch_ratio": 0.0,
|
| 953 |
+
"rollout/truncated_ratio": 0.828125,
|
| 954 |
+
"sampling/importance_sampling_ratio/max": 1.9042965173721313,
|
| 955 |
+
"sampling/importance_sampling_ratio/mean": 0.30797556042671204,
|
| 956 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 957 |
+
"sampling/sampling_logp_difference/max": 3.0986688137054443,
|
| 958 |
+
"sampling/sampling_logp_difference/mean": 0.0199856199324131,
|
| 959 |
+
"step": 25,
|
| 960 |
+
"step_time": 379.6568018289963
|
| 961 |
+
},
|
| 962 |
+
{
|
| 963 |
+
"clip_ratio/high_max": 0.0,
|
| 964 |
+
"clip_ratio/high_mean": 0.0,
|
| 965 |
+
"clip_ratio/low_mean": 0.0,
|
| 966 |
+
"clip_ratio/low_min": 0.0,
|
| 967 |
+
"clip_ratio/region_mean": 0.0,
|
| 968 |
+
"completions/clipped_ratio": 0.796875,
|
| 969 |
+
"completions/max_length": 1607.0,
|
| 970 |
+
"completions/max_terminated_length": 975.0,
|
| 971 |
+
"completions/mean_length": 820.5,
|
| 972 |
+
"completions/mean_terminated_length": 396.923095703125,
|
| 973 |
+
"completions/min_length": 174.0,
|
| 974 |
+
"completions/min_terminated_length": 174.0,
|
| 975 |
+
"entropy": 0.301429130602628,
|
| 976 |
+
"epoch": 0.208,
|
| 977 |
+
"frac_reward_zero_std": 0.0,
|
| 978 |
+
"grad_norm": 0.006396389566361904,
|
| 979 |
+
"kl": 0.001548040645502624,
|
| 980 |
+
"learning_rate": 3.4858896377832966e-06,
|
| 981 |
+
"loss": 0.0009,
|
| 982 |
+
"num_tokens": 1350535.0,
|
| 983 |
+
"reward": 0.1639062464237213,
|
| 984 |
+
"reward_std": 0.32607388496398926,
|
| 985 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.1639062464237213,
|
| 986 |
+
"rewards/alfworld_rollout_reward_func/std": 0.418832927942276,
|
| 987 |
+
"rollout/action_tokens_mean": 820.5,
|
| 988 |
+
"rollout/episode_turns_mean": 26.59375,
|
| 989 |
+
"rollout/mismatch_mean": 0.0,
|
| 990 |
+
"rollout/mismatch_ratio": 0.0,
|
| 991 |
+
"rollout/truncated_ratio": 0.796875,
|
| 992 |
+
"sampling/importance_sampling_ratio/max": 2.7253878116607666,
|
| 993 |
+
"sampling/importance_sampling_ratio/mean": 0.46614933013916016,
|
| 994 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 995 |
+
"sampling/sampling_logp_difference/max": 3.6588082313537598,
|
| 996 |
+
"sampling/sampling_logp_difference/mean": 0.018608851358294487,
|
| 997 |
+
"step": 26,
|
| 998 |
+
"step_time": 458.5120370709956
|
| 999 |
+
},
|
| 1000 |
+
{
|
| 1001 |
+
"clip_ratio/high_max": 0.0,
|
| 1002 |
+
"clip_ratio/high_mean": 0.0,
|
| 1003 |
+
"clip_ratio/low_mean": 0.0,
|
| 1004 |
+
"clip_ratio/low_min": 0.0,
|
| 1005 |
+
"clip_ratio/region_mean": 0.0,
|
| 1006 |
+
"completions/clipped_ratio": 0.8125,
|
| 1007 |
+
"completions/max_length": 1363.0,
|
| 1008 |
+
"completions/max_terminated_length": 851.0,
|
| 1009 |
+
"completions/mean_length": 843.46875,
|
| 1010 |
+
"completions/mean_terminated_length": 518.0833740234375,
|
| 1011 |
+
"completions/min_length": 123.0,
|
| 1012 |
+
"completions/min_terminated_length": 123.0,
|
| 1013 |
+
"entropy": 0.3490098095498979,
|
| 1014 |
+
"epoch": 0.216,
|
| 1015 |
+
"frac_reward_zero_std": 0.0,
|
| 1016 |
+
"grad_norm": 0.00987387914210558,
|
| 1017 |
+
"kl": 0.001589072278875392,
|
| 1018 |
+
"learning_rate": 3.3682631321120507e-06,
|
| 1019 |
+
"loss": -0.0109,
|
| 1020 |
+
"num_tokens": 1404517.0,
|
| 1021 |
+
"reward": 0.14921875298023224,
|
| 1022 |
+
"reward_std": 0.3126556873321533,
|
| 1023 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.14921875298023224,
|
| 1024 |
+
"rewards/alfworld_rollout_reward_func/std": 0.40770089626312256,
|
| 1025 |
+
"rollout/action_tokens_mean": 843.46875,
|
| 1026 |
+
"rollout/episode_turns_mean": 27.703125,
|
| 1027 |
+
"rollout/mismatch_mean": 0.0,
|
| 1028 |
+
"rollout/mismatch_ratio": 0.0,
|
| 1029 |
+
"rollout/truncated_ratio": 0.8125,
|
| 1030 |
+
"sampling/importance_sampling_ratio/max": 2.323033332824707,
|
| 1031 |
+
"sampling/importance_sampling_ratio/mean": 0.4162726402282715,
|
| 1032 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 1033 |
+
"sampling/sampling_logp_difference/max": 1.8558279275894165,
|
| 1034 |
+
"sampling/sampling_logp_difference/mean": 0.020594514906406403,
|
| 1035 |
+
"step": 27,
|
| 1036 |
+
"step_time": 366.20077905700964
|
| 1037 |
+
},
|
| 1038 |
+
{
|
| 1039 |
+
"clip_ratio/high_max": 0.0,
|
| 1040 |
+
"clip_ratio/high_mean": 0.0,
|
| 1041 |
+
"clip_ratio/low_mean": 0.0,
|
| 1042 |
+
"clip_ratio/low_min": 0.0,
|
| 1043 |
+
"clip_ratio/region_mean": 0.0,
|
| 1044 |
+
"completions/clipped_ratio": 0.5625,
|
| 1045 |
+
"completions/max_length": 2369.0,
|
| 1046 |
+
"completions/max_terminated_length": 1151.0,
|
| 1047 |
+
"completions/mean_length": 727.859375,
|
| 1048 |
+
"completions/mean_terminated_length": 404.3571472167969,
|
| 1049 |
+
"completions/min_length": 97.0,
|
| 1050 |
+
"completions/min_terminated_length": 97.0,
|
| 1051 |
+
"entropy": 0.30788369150832295,
|
| 1052 |
+
"epoch": 0.224,
|
| 1053 |
+
"frac_reward_zero_std": 0.0,
|
| 1054 |
+
"grad_norm": 0.01545465737581253,
|
| 1055 |
+
"kl": 0.0016130298517964548,
|
| 1056 |
+
"learning_rate": 3.248407807433396e-06,
|
| 1057 |
+
"loss": 0.012,
|
| 1058 |
+
"num_tokens": 1451100.0,
|
| 1059 |
+
"reward": 0.3981249928474426,
|
| 1060 |
+
"reward_std": 0.5213440656661987,
|
| 1061 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.3981249928474426,
|
| 1062 |
+
"rewards/alfworld_rollout_reward_func/std": 0.5216788649559021,
|
| 1063 |
+
"rollout/action_tokens_mean": 727.859375,
|
| 1064 |
+
"rollout/episode_turns_mean": 22.984375,
|
| 1065 |
+
"rollout/mismatch_mean": 0.0,
|
| 1066 |
+
"rollout/mismatch_ratio": 0.0,
|
| 1067 |
+
"rollout/truncated_ratio": 0.5625,
|
| 1068 |
+
"sampling/importance_sampling_ratio/max": 2.7356457710266113,
|
| 1069 |
+
"sampling/importance_sampling_ratio/mean": 0.6839978694915771,
|
| 1070 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 1071 |
+
"sampling/sampling_logp_difference/max": 1.65842604637146,
|
| 1072 |
+
"sampling/sampling_logp_difference/mean": 0.019816581159830093,
|
| 1073 |
+
"step": 28,
|
| 1074 |
+
"step_time": 317.7198553449962
|
| 1075 |
+
},
|
| 1076 |
+
{
|
| 1077 |
+
"clip_ratio/high_max": 0.0,
|
| 1078 |
+
"clip_ratio/high_mean": 0.0,
|
| 1079 |
+
"clip_ratio/low_mean": 0.0,
|
| 1080 |
+
"clip_ratio/low_min": 0.0,
|
| 1081 |
+
"clip_ratio/region_mean": 0.0,
|
| 1082 |
+
"completions/clipped_ratio": 0.75,
|
| 1083 |
+
"completions/max_length": 1781.0,
|
| 1084 |
+
"completions/max_terminated_length": 980.0,
|
| 1085 |
+
"completions/mean_length": 844.03125,
|
| 1086 |
+
"completions/mean_terminated_length": 524.75,
|
| 1087 |
+
"completions/min_length": 153.0,
|
| 1088 |
+
"completions/min_terminated_length": 153.0,
|
| 1089 |
+
"entropy": 0.3514281096868217,
|
| 1090 |
+
"epoch": 0.232,
|
| 1091 |
+
"frac_reward_zero_std": 0.0,
|
| 1092 |
+
"grad_norm": 0.010329142212867737,
|
| 1093 |
+
"kl": 0.0034811663499567658,
|
| 1094 |
+
"learning_rate": 3.1266313306468018e-06,
|
| 1095 |
+
"loss": -0.0153,
|
| 1096 |
+
"num_tokens": 1505118.0,
|
| 1097 |
+
"reward": 0.20656250417232513,
|
| 1098 |
+
"reward_std": 0.29942071437835693,
|
| 1099 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.20656250417232513,
|
| 1100 |
+
"rewards/alfworld_rollout_reward_func/std": 0.4480122923851013,
|
| 1101 |
+
"rollout/action_tokens_mean": 844.03125,
|
| 1102 |
+
"rollout/episode_turns_mean": 26.890625,
|
| 1103 |
+
"rollout/mismatch_mean": 0.015625,
|
| 1104 |
+
"rollout/mismatch_ratio": 0.015625,
|
| 1105 |
+
"rollout/truncated_ratio": 0.75,
|
| 1106 |
+
"sampling/importance_sampling_ratio/max": 2.6475582122802734,
|
| 1107 |
+
"sampling/importance_sampling_ratio/mean": 0.39373910427093506,
|
| 1108 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 1109 |
+
"sampling/sampling_logp_difference/max": 5.319100856781006,
|
| 1110 |
+
"sampling/sampling_logp_difference/mean": 0.022610869258642197,
|
| 1111 |
+
"step": 29,
|
| 1112 |
+
"step_time": 372.01922321400525
|
| 1113 |
+
},
|
| 1114 |
+
{
|
| 1115 |
+
"clip_ratio/high_max": 0.0,
|
| 1116 |
+
"clip_ratio/high_mean": 0.0,
|
| 1117 |
+
"clip_ratio/low_mean": 0.0,
|
| 1118 |
+
"clip_ratio/low_min": 0.0,
|
| 1119 |
+
"clip_ratio/region_mean": 0.0,
|
| 1120 |
+
"completions/clipped_ratio": 0.75,
|
| 1121 |
+
"completions/max_length": 1465.0,
|
| 1122 |
+
"completions/max_terminated_length": 804.0,
|
| 1123 |
+
"completions/mean_length": 781.265625,
|
| 1124 |
+
"completions/mean_terminated_length": 451.8125,
|
| 1125 |
+
"completions/min_length": 172.0,
|
| 1126 |
+
"completions/min_terminated_length": 172.0,
|
| 1127 |
+
"entropy": 0.2927012937143445,
|
| 1128 |
+
"epoch": 0.24,
|
| 1129 |
+
"frac_reward_zero_std": 0.0,
|
| 1130 |
+
"grad_norm": 0.006770053878426552,
|
| 1131 |
+
"kl": 0.0015057786895340541,
|
| 1132 |
+
"learning_rate": 3.0032463002216504e-06,
|
| 1133 |
+
"loss": 0.0038,
|
| 1134 |
+
"num_tokens": 1555119.0,
|
| 1135 |
+
"reward": 0.21671874821186066,
|
| 1136 |
+
"reward_std": 0.24240338802337646,
|
| 1137 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.21671876311302185,
|
| 1138 |
+
"rewards/alfworld_rollout_reward_func/std": 0.44675213098526,
|
| 1139 |
+
"rollout/action_tokens_mean": 781.265625,
|
| 1140 |
+
"rollout/episode_turns_mean": 26.21875,
|
| 1141 |
+
"rollout/mismatch_mean": 0.0,
|
| 1142 |
+
"rollout/mismatch_ratio": 0.0,
|
| 1143 |
+
"rollout/truncated_ratio": 0.75,
|
| 1144 |
+
"sampling/importance_sampling_ratio/max": 2.8479506969451904,
|
| 1145 |
+
"sampling/importance_sampling_ratio/mean": 0.49506521224975586,
|
| 1146 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 1147 |
+
"sampling/sampling_logp_difference/max": 1.7825241088867188,
|
| 1148 |
+
"sampling/sampling_logp_difference/mean": 0.01828092336654663,
|
| 1149 |
+
"step": 30,
|
| 1150 |
+
"step_time": 382.84014304800075
|
| 1151 |
+
},
|
| 1152 |
+
{
|
| 1153 |
+
"clip_ratio/high_max": 0.0,
|
| 1154 |
+
"clip_ratio/high_mean": 0.0,
|
| 1155 |
+
"clip_ratio/low_mean": 0.0,
|
| 1156 |
+
"clip_ratio/low_min": 0.0,
|
| 1157 |
+
"clip_ratio/region_mean": 0.0,
|
| 1158 |
+
"completions/clipped_ratio": 0.8125,
|
| 1159 |
+
"completions/max_length": 1591.0,
|
| 1160 |
+
"completions/max_terminated_length": 899.0,
|
| 1161 |
+
"completions/mean_length": 807.0625,
|
| 1162 |
+
"completions/mean_terminated_length": 503.8333435058594,
|
| 1163 |
+
"completions/min_length": 153.0,
|
| 1164 |
+
"completions/min_terminated_length": 153.0,
|
| 1165 |
+
"entropy": 0.33275228925049305,
|
| 1166 |
+
"epoch": 0.248,
|
| 1167 |
+
"frac_reward_zero_std": 0.0,
|
| 1168 |
+
"grad_norm": 0.009322401136159897,
|
| 1169 |
+
"kl": 0.0018803979564836482,
|
| 1170 |
+
"learning_rate": 2.878569443761442e-06,
|
| 1171 |
+
"loss": -0.0078,
|
| 1172 |
+
"num_tokens": 1606771.0,
|
| 1173 |
+
"reward": 0.14656250178813934,
|
| 1174 |
+
"reward_std": 0.337169349193573,
|
| 1175 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.14656248688697815,
|
| 1176 |
+
"rewards/alfworld_rollout_reward_func/std": 0.4100453853607178,
|
| 1177 |
+
"rollout/action_tokens_mean": 807.0625,
|
| 1178 |
+
"rollout/episode_turns_mean": 27.546875,
|
| 1179 |
+
"rollout/mismatch_mean": 0.0,
|
| 1180 |
+
"rollout/mismatch_ratio": 0.0,
|
| 1181 |
+
"rollout/truncated_ratio": 0.8125,
|
| 1182 |
+
"sampling/importance_sampling_ratio/max": 2.9021573066711426,
|
| 1183 |
+
"sampling/importance_sampling_ratio/mean": 0.42428821325302124,
|
| 1184 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 1185 |
+
"sampling/sampling_logp_difference/max": 2.855207920074463,
|
| 1186 |
+
"sampling/sampling_logp_difference/mean": 0.021321609616279602,
|
| 1187 |
+
"step": 31,
|
| 1188 |
+
"step_time": 494.6054373920015
|
| 1189 |
+
},
|
| 1190 |
+
{
|
| 1191 |
+
"clip_ratio/high_max": 0.0,
|
| 1192 |
+
"clip_ratio/high_mean": 0.0,
|
| 1193 |
+
"clip_ratio/low_mean": 0.0,
|
| 1194 |
+
"clip_ratio/low_min": 0.0,
|
| 1195 |
+
"clip_ratio/region_mean": 0.0,
|
| 1196 |
+
"completions/clipped_ratio": 0.796875,
|
| 1197 |
+
"completions/max_length": 1383.0,
|
| 1198 |
+
"completions/max_terminated_length": 1038.0,
|
| 1199 |
+
"completions/mean_length": 791.734375,
|
| 1200 |
+
"completions/mean_terminated_length": 412.923095703125,
|
| 1201 |
+
"completions/min_length": 125.0,
|
| 1202 |
+
"completions/min_terminated_length": 125.0,
|
| 1203 |
+
"entropy": 0.38143961410969496,
|
| 1204 |
+
"epoch": 0.256,
|
| 1205 |
+
"frac_reward_zero_std": 0.0,
|
| 1206 |
+
"grad_norm": 0.010985196568071842,
|
| 1207 |
+
"kl": 0.0017831376208050642,
|
| 1208 |
+
"learning_rate": 2.752920804968581e-06,
|
| 1209 |
+
"loss": -0.0093,
|
| 1210 |
+
"num_tokens": 1657442.0,
|
| 1211 |
+
"reward": 0.14656248688697815,
|
| 1212 |
+
"reward_std": 0.27167972922325134,
|
| 1213 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.14656250178813934,
|
| 1214 |
+
"rewards/alfworld_rollout_reward_func/std": 0.4263809323310852,
|
| 1215 |
+
"rollout/action_tokens_mean": 791.734375,
|
| 1216 |
+
"rollout/episode_turns_mean": 26.5,
|
| 1217 |
+
"rollout/mismatch_mean": 0.0,
|
| 1218 |
+
"rollout/mismatch_ratio": 0.0,
|
| 1219 |
+
"rollout/truncated_ratio": 0.796875,
|
| 1220 |
+
"sampling/importance_sampling_ratio/max": 2.170595169067383,
|
| 1221 |
+
"sampling/importance_sampling_ratio/mean": 0.39966434240341187,
|
| 1222 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 1223 |
+
"sampling/sampling_logp_difference/max": 2.398648977279663,
|
| 1224 |
+
"sampling/sampling_logp_difference/mean": 0.022872522473335266,
|
| 1225 |
+
"step": 32,
|
| 1226 |
+
"step_time": 305.8924537160019
|
| 1227 |
+
},
|
| 1228 |
+
{
|
| 1229 |
+
"clip_ratio/high_max": 0.0,
|
| 1230 |
+
"clip_ratio/high_mean": 0.0,
|
| 1231 |
+
"clip_ratio/low_mean": 0.0,
|
| 1232 |
+
"clip_ratio/low_min": 0.0,
|
| 1233 |
+
"clip_ratio/region_mean": 0.0,
|
| 1234 |
+
"completions/clipped_ratio": 0.734375,
|
| 1235 |
+
"completions/max_length": 1564.0,
|
| 1236 |
+
"completions/max_terminated_length": 1151.0,
|
| 1237 |
+
"completions/mean_length": 914.953125,
|
| 1238 |
+
"completions/mean_terminated_length": 616.4705810546875,
|
| 1239 |
+
"completions/min_length": 291.0,
|
| 1240 |
+
"completions/min_terminated_length": 291.0,
|
| 1241 |
+
"entropy": 0.39743291586637497,
|
| 1242 |
+
"epoch": 0.264,
|
| 1243 |
+
"frac_reward_zero_std": 0.0,
|
| 1244 |
+
"grad_norm": 0.010168999433517456,
|
| 1245 |
+
"kl": 0.0017962153833650518,
|
| 1246 |
+
"learning_rate": 2.626622922096782e-06,
|
| 1247 |
+
"loss": -0.0045,
|
| 1248 |
+
"num_tokens": 1715999.0,
|
| 1249 |
+
"reward": 0.21843750774860382,
|
| 1250 |
+
"reward_std": 0.4097728729248047,
|
| 1251 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.21843750774860382,
|
| 1252 |
+
"rewards/alfworld_rollout_reward_func/std": 0.46011462807655334,
|
| 1253 |
+
"rollout/action_tokens_mean": 914.953125,
|
| 1254 |
+
"rollout/episode_turns_mean": 27.140625,
|
| 1255 |
+
"rollout/mismatch_mean": 0.0,
|
| 1256 |
+
"rollout/mismatch_ratio": 0.0,
|
| 1257 |
+
"rollout/truncated_ratio": 0.734375,
|
| 1258 |
+
"sampling/importance_sampling_ratio/max": 2.6107707023620605,
|
| 1259 |
+
"sampling/importance_sampling_ratio/mean": 0.386021226644516,
|
| 1260 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 1261 |
+
"sampling/sampling_logp_difference/max": 2.2772090435028076,
|
| 1262 |
+
"sampling/sampling_logp_difference/mean": 0.02191011980175972,
|
| 1263 |
+
"step": 33,
|
| 1264 |
+
"step_time": 360.4347860389935
|
| 1265 |
+
},
|
| 1266 |
+
{
|
| 1267 |
+
"clip_ratio/high_max": 0.0,
|
| 1268 |
+
"clip_ratio/high_mean": 0.0,
|
| 1269 |
+
"clip_ratio/low_mean": 0.0,
|
| 1270 |
+
"clip_ratio/low_min": 0.0,
|
| 1271 |
+
"clip_ratio/region_mean": 0.0,
|
| 1272 |
+
"completions/clipped_ratio": 0.796875,
|
| 1273 |
+
"completions/max_length": 1527.0,
|
| 1274 |
+
"completions/max_terminated_length": 743.0,
|
| 1275 |
+
"completions/mean_length": 862.9375,
|
| 1276 |
+
"completions/mean_terminated_length": 506.3077087402344,
|
| 1277 |
+
"completions/min_length": 254.0,
|
| 1278 |
+
"completions/min_terminated_length": 254.0,
|
| 1279 |
+
"entropy": 0.35848523303866386,
|
| 1280 |
+
"epoch": 0.272,
|
| 1281 |
+
"frac_reward_zero_std": 0.0,
|
| 1282 |
+
"grad_norm": 0.01134358998388052,
|
| 1283 |
+
"kl": 0.001760420509526739,
|
| 1284 |
+
"learning_rate": 2.5e-06,
|
| 1285 |
+
"loss": 0.016,
|
| 1286 |
+
"num_tokens": 1771227.0,
|
| 1287 |
+
"reward": 0.15781250596046448,
|
| 1288 |
+
"reward_std": 0.29862138628959656,
|
| 1289 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.15781249105930328,
|
| 1290 |
+
"rewards/alfworld_rollout_reward_func/std": 0.4202209413051605,
|
| 1291 |
+
"rollout/action_tokens_mean": 862.9375,
|
| 1292 |
+
"rollout/episode_turns_mean": 27.515625,
|
| 1293 |
+
"rollout/mismatch_mean": 0.0,
|
| 1294 |
+
"rollout/mismatch_ratio": 0.0,
|
| 1295 |
+
"rollout/truncated_ratio": 0.796875,
|
| 1296 |
+
"sampling/importance_sampling_ratio/max": 2.3946166038513184,
|
| 1297 |
+
"sampling/importance_sampling_ratio/mean": 0.41097065806388855,
|
| 1298 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 1299 |
+
"sampling/sampling_logp_difference/max": 2.3659703731536865,
|
| 1300 |
+
"sampling/sampling_logp_difference/mean": 0.020839743316173553,
|
| 1301 |
+
"step": 34,
|
| 1302 |
+
"step_time": 255.86244797499785
|
| 1303 |
+
},
|
| 1304 |
+
{
|
| 1305 |
+
"clip_ratio/high_max": 0.0,
|
| 1306 |
+
"clip_ratio/high_mean": 0.0,
|
| 1307 |
+
"clip_ratio/low_mean": 0.0,
|
| 1308 |
+
"clip_ratio/low_min": 0.0,
|
| 1309 |
+
"clip_ratio/region_mean": 0.0,
|
| 1310 |
+
"completions/clipped_ratio": 0.640625,
|
| 1311 |
+
"completions/max_length": 1503.0,
|
| 1312 |
+
"completions/max_terminated_length": 1127.0,
|
| 1313 |
+
"completions/mean_length": 801.078125,
|
| 1314 |
+
"completions/mean_terminated_length": 446.0434875488281,
|
| 1315 |
+
"completions/min_length": 121.0,
|
| 1316 |
+
"completions/min_terminated_length": 121.0,
|
| 1317 |
+
"entropy": 0.33974334690719843,
|
| 1318 |
+
"epoch": 0.28,
|
| 1319 |
+
"frac_reward_zero_std": 0.0,
|
| 1320 |
+
"grad_norm": 0.007748698350042105,
|
| 1321 |
+
"kl": 0.0017098757416533772,
|
| 1322 |
+
"learning_rate": 2.3733770779032185e-06,
|
| 1323 |
+
"loss": 0.0012,
|
| 1324 |
+
"num_tokens": 1822496.0,
|
| 1325 |
+
"reward": 0.3109375238418579,
|
| 1326 |
+
"reward_std": 0.34154438972473145,
|
| 1327 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.3109375238418579,
|
| 1328 |
+
"rewards/alfworld_rollout_reward_func/std": 0.5012863874435425,
|
| 1329 |
+
"rollout/action_tokens_mean": 801.078125,
|
| 1330 |
+
"rollout/episode_turns_mean": 24.203125,
|
| 1331 |
+
"rollout/mismatch_mean": 0.015625,
|
| 1332 |
+
"rollout/mismatch_ratio": 0.015625,
|
| 1333 |
+
"rollout/truncated_ratio": 0.640625,
|
| 1334 |
+
"sampling/importance_sampling_ratio/max": 2.6798601150512695,
|
| 1335 |
+
"sampling/importance_sampling_ratio/mean": 0.4648974537849426,
|
| 1336 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 1337 |
+
"sampling/sampling_logp_difference/max": 2.4488577842712402,
|
| 1338 |
+
"sampling/sampling_logp_difference/mean": 0.020977256819605827,
|
| 1339 |
+
"step": 35,
|
| 1340 |
+
"step_time": 369.7442883429976
|
| 1341 |
+
},
|
| 1342 |
+
{
|
| 1343 |
+
"clip_ratio/high_max": 0.0,
|
| 1344 |
+
"clip_ratio/high_mean": 0.0,
|
| 1345 |
+
"clip_ratio/low_mean": 0.0,
|
| 1346 |
+
"clip_ratio/low_min": 0.0,
|
| 1347 |
+
"clip_ratio/region_mean": 0.0,
|
| 1348 |
+
"completions/clipped_ratio": 0.5625,
|
| 1349 |
+
"completions/max_length": 1817.0,
|
| 1350 |
+
"completions/max_terminated_length": 1098.0,
|
| 1351 |
+
"completions/mean_length": 763.078125,
|
| 1352 |
+
"completions/mean_terminated_length": 383.21429443359375,
|
| 1353 |
+
"completions/min_length": 90.0,
|
| 1354 |
+
"completions/min_terminated_length": 90.0,
|
| 1355 |
+
"entropy": 0.37786182574927807,
|
| 1356 |
+
"epoch": 0.288,
|
| 1357 |
+
"frac_reward_zero_std": 0.0,
|
| 1358 |
+
"grad_norm": 0.012169571593403816,
|
| 1359 |
+
"kl": 0.0024242461659014225,
|
| 1360 |
+
"learning_rate": 2.24707919503142e-06,
|
| 1361 |
+
"loss": 0.0067,
|
| 1362 |
+
"num_tokens": 1871333.0,
|
| 1363 |
+
"reward": 0.3814062476158142,
|
| 1364 |
+
"reward_std": 0.325703501701355,
|
| 1365 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.3814062476158142,
|
| 1366 |
+
"rewards/alfworld_rollout_reward_func/std": 0.5243707299232483,
|
| 1367 |
+
"rollout/action_tokens_mean": 763.078125,
|
| 1368 |
+
"rollout/episode_turns_mean": 22.328125,
|
| 1369 |
+
"rollout/mismatch_mean": 0.0,
|
| 1370 |
+
"rollout/mismatch_ratio": 0.0,
|
| 1371 |
+
"rollout/truncated_ratio": 0.5625,
|
| 1372 |
+
"sampling/importance_sampling_ratio/max": 2.630308151245117,
|
| 1373 |
+
"sampling/importance_sampling_ratio/mean": 0.4907624125480652,
|
| 1374 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 1375 |
+
"sampling/sampling_logp_difference/max": 3.9331345558166504,
|
| 1376 |
+
"sampling/sampling_logp_difference/mean": 0.022463176399469376,
|
| 1377 |
+
"step": 36,
|
| 1378 |
+
"step_time": 452.8674500970046
|
| 1379 |
+
},
|
| 1380 |
+
{
|
| 1381 |
+
"clip_ratio/high_max": 0.0,
|
| 1382 |
+
"clip_ratio/high_mean": 0.0,
|
| 1383 |
+
"clip_ratio/low_mean": 0.0,
|
| 1384 |
+
"clip_ratio/low_min": 0.0,
|
| 1385 |
+
"clip_ratio/region_mean": 0.0,
|
| 1386 |
+
"completions/clipped_ratio": 0.453125,
|
| 1387 |
+
"completions/max_length": 1560.0,
|
| 1388 |
+
"completions/max_terminated_length": 1173.0,
|
| 1389 |
+
"completions/mean_length": 592.9375,
|
| 1390 |
+
"completions/mean_terminated_length": 322.4285583496094,
|
| 1391 |
+
"completions/min_length": 102.0,
|
| 1392 |
+
"completions/min_terminated_length": 102.0,
|
| 1393 |
+
"entropy": 0.2960165496915579,
|
| 1394 |
+
"epoch": 0.296,
|
| 1395 |
+
"frac_reward_zero_std": 0.125,
|
| 1396 |
+
"grad_norm": 0.009033096954226494,
|
| 1397 |
+
"kl": 0.0017318885384156602,
|
| 1398 |
+
"learning_rate": 2.1214305562385592e-06,
|
| 1399 |
+
"loss": 0.0028,
|
| 1400 |
+
"num_tokens": 1909281.0,
|
| 1401 |
+
"reward": 0.5143750309944153,
|
| 1402 |
+
"reward_std": 0.3860568404197693,
|
| 1403 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.5143750309944153,
|
| 1404 |
+
"rewards/alfworld_rollout_reward_func/std": 0.5290928483009338,
|
| 1405 |
+
"rollout/action_tokens_mean": 592.9375,
|
| 1406 |
+
"rollout/episode_turns_mean": 19.015625,
|
| 1407 |
+
"rollout/mismatch_mean": 0.0,
|
| 1408 |
+
"rollout/mismatch_ratio": 0.0,
|
| 1409 |
+
"rollout/truncated_ratio": 0.453125,
|
| 1410 |
+
"sampling/importance_sampling_ratio/max": 2.8567276000976562,
|
| 1411 |
+
"sampling/importance_sampling_ratio/mean": 0.5531047582626343,
|
| 1412 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 1413 |
+
"sampling/sampling_logp_difference/max": 2.304647445678711,
|
| 1414 |
+
"sampling/sampling_logp_difference/mean": 0.01983683556318283,
|
| 1415 |
+
"step": 37,
|
| 1416 |
+
"step_time": 388.3879080370025
|
| 1417 |
+
},
|
| 1418 |
+
{
|
| 1419 |
+
"clip_ratio/high_max": 0.0,
|
| 1420 |
+
"clip_ratio/high_mean": 0.0,
|
| 1421 |
+
"clip_ratio/low_mean": 0.0,
|
| 1422 |
+
"clip_ratio/low_min": 0.0,
|
| 1423 |
+
"clip_ratio/region_mean": 0.0,
|
| 1424 |
+
"completions/clipped_ratio": 0.53125,
|
| 1425 |
+
"completions/max_length": 1343.0,
|
| 1426 |
+
"completions/max_terminated_length": 792.0,
|
| 1427 |
+
"completions/mean_length": 662.140625,
|
| 1428 |
+
"completions/mean_terminated_length": 343.8333435058594,
|
| 1429 |
+
"completions/min_length": 77.0,
|
| 1430 |
+
"completions/min_terminated_length": 77.0,
|
| 1431 |
+
"entropy": 0.32609579246491194,
|
| 1432 |
+
"epoch": 0.304,
|
| 1433 |
+
"frac_reward_zero_std": 0.125,
|
| 1434 |
+
"grad_norm": 0.014773277565836906,
|
| 1435 |
+
"kl": 0.0018760439170364407,
|
| 1436 |
+
"learning_rate": 1.9967536997783495e-06,
|
| 1437 |
+
"loss": 0.0014,
|
| 1438 |
+
"num_tokens": 1951658.0,
|
| 1439 |
+
"reward": 0.4350000023841858,
|
| 1440 |
+
"reward_std": 0.3387959599494934,
|
| 1441 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.4350000023841858,
|
| 1442 |
+
"rewards/alfworld_rollout_reward_func/std": 0.5278016924858093,
|
| 1443 |
+
"rollout/action_tokens_mean": 662.140625,
|
| 1444 |
+
"rollout/episode_turns_mean": 21.40625,
|
| 1445 |
+
"rollout/mismatch_mean": 0.015625,
|
| 1446 |
+
"rollout/mismatch_ratio": 0.015625,
|
| 1447 |
+
"rollout/truncated_ratio": 0.53125,
|
| 1448 |
+
"sampling/importance_sampling_ratio/max": 2.9260754585266113,
|
| 1449 |
+
"sampling/importance_sampling_ratio/mean": 0.563366711139679,
|
| 1450 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 1451 |
+
"sampling/sampling_logp_difference/max": 3.768939971923828,
|
| 1452 |
+
"sampling/sampling_logp_difference/mean": 0.022423237562179565,
|
| 1453 |
+
"step": 38,
|
| 1454 |
+
"step_time": 436.1079989810023
|
| 1455 |
+
},
|
| 1456 |
+
{
|
| 1457 |
+
"clip_ratio/high_max": 0.0,
|
| 1458 |
+
"clip_ratio/high_mean": 0.0,
|
| 1459 |
+
"clip_ratio/low_mean": 0.0,
|
| 1460 |
+
"clip_ratio/low_min": 0.0,
|
| 1461 |
+
"clip_ratio/region_mean": 0.0,
|
| 1462 |
+
"completions/clipped_ratio": 0.734375,
|
| 1463 |
+
"completions/max_length": 1869.0,
|
| 1464 |
+
"completions/max_terminated_length": 1018.0,
|
| 1465 |
+
"completions/mean_length": 943.40625,
|
| 1466 |
+
"completions/mean_terminated_length": 584.4117431640625,
|
| 1467 |
+
"completions/min_length": 237.0,
|
| 1468 |
+
"completions/min_terminated_length": 237.0,
|
| 1469 |
+
"entropy": 0.3758079996332526,
|
| 1470 |
+
"epoch": 0.312,
|
| 1471 |
+
"frac_reward_zero_std": 0.0,
|
| 1472 |
+
"grad_norm": 0.01313227228820324,
|
| 1473 |
+
"kl": 0.0022639515991613735,
|
| 1474 |
+
"learning_rate": 1.8733686693531986e-06,
|
| 1475 |
+
"loss": -0.0025,
|
| 1476 |
+
"num_tokens": 2012036.0,
|
| 1477 |
+
"reward": 0.21578124165534973,
|
| 1478 |
+
"reward_std": 0.4323212504386902,
|
| 1479 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.21578124165534973,
|
| 1480 |
+
"rewards/alfworld_rollout_reward_func/std": 0.46428921818733215,
|
| 1481 |
+
"rollout/action_tokens_mean": 943.40625,
|
| 1482 |
+
"rollout/episode_turns_mean": 26.90625,
|
| 1483 |
+
"rollout/mismatch_mean": 0.0,
|
| 1484 |
+
"rollout/mismatch_ratio": 0.0,
|
| 1485 |
+
"rollout/truncated_ratio": 0.734375,
|
| 1486 |
+
"sampling/importance_sampling_ratio/max": 2.5490753650665283,
|
| 1487 |
+
"sampling/importance_sampling_ratio/mean": 0.3670840859413147,
|
| 1488 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 1489 |
+
"sampling/sampling_logp_difference/max": 3.389880657196045,
|
| 1490 |
+
"sampling/sampling_logp_difference/mean": 0.021743088960647583,
|
| 1491 |
+
"step": 39,
|
| 1492 |
+
"step_time": 354.37862886100265
|
| 1493 |
+
},
|
| 1494 |
+
{
|
| 1495 |
+
"clip_ratio/high_max": 0.0,
|
| 1496 |
+
"clip_ratio/high_mean": 0.0,
|
| 1497 |
+
"clip_ratio/low_mean": 0.0,
|
| 1498 |
+
"clip_ratio/low_min": 0.0,
|
| 1499 |
+
"clip_ratio/region_mean": 0.0,
|
| 1500 |
+
"completions/clipped_ratio": 0.671875,
|
| 1501 |
+
"completions/max_length": 1334.0,
|
| 1502 |
+
"completions/max_terminated_length": 1062.0,
|
| 1503 |
+
"completions/mean_length": 701.15625,
|
| 1504 |
+
"completions/mean_terminated_length": 308.1428527832031,
|
| 1505 |
+
"completions/min_length": 155.0,
|
| 1506 |
+
"completions/min_terminated_length": 155.0,
|
| 1507 |
+
"entropy": 0.2994346688501537,
|
| 1508 |
+
"epoch": 0.32,
|
| 1509 |
+
"frac_reward_zero_std": 0.0,
|
| 1510 |
+
"grad_norm": 0.009722444228827953,
|
| 1511 |
+
"kl": 0.0016241020402958384,
|
| 1512 |
+
"learning_rate": 1.7515921925666053e-06,
|
| 1513 |
+
"loss": -0.0206,
|
| 1514 |
+
"num_tokens": 2056910.0,
|
| 1515 |
+
"reward": 0.29640626907348633,
|
| 1516 |
+
"reward_std": 0.23870769143104553,
|
| 1517 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.29640626907348633,
|
| 1518 |
+
"rewards/alfworld_rollout_reward_func/std": 0.4918813109397888,
|
| 1519 |
+
"rollout/action_tokens_mean": 701.15625,
|
| 1520 |
+
"rollout/episode_turns_mean": 23.625,
|
| 1521 |
+
"rollout/mismatch_mean": 0.0,
|
| 1522 |
+
"rollout/mismatch_ratio": 0.0,
|
| 1523 |
+
"rollout/truncated_ratio": 0.671875,
|
| 1524 |
+
"sampling/importance_sampling_ratio/max": 2.825843572616577,
|
| 1525 |
+
"sampling/importance_sampling_ratio/mean": 0.5806776881217957,
|
| 1526 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 1527 |
+
"sampling/sampling_logp_difference/max": 3.3793482780456543,
|
| 1528 |
+
"sampling/sampling_logp_difference/mean": 0.01931983232498169,
|
| 1529 |
+
"step": 40,
|
| 1530 |
+
"step_time": 355.1650720970065
|
| 1531 |
+
},
|
| 1532 |
+
{
|
| 1533 |
+
"clip_ratio/high_max": 0.0,
|
| 1534 |
+
"clip_ratio/high_mean": 0.0,
|
| 1535 |
+
"clip_ratio/low_mean": 0.0,
|
| 1536 |
+
"clip_ratio/low_min": 0.0,
|
| 1537 |
+
"clip_ratio/region_mean": 0.0,
|
| 1538 |
+
"completions/clipped_ratio": 0.71875,
|
| 1539 |
+
"completions/max_length": 1877.0,
|
| 1540 |
+
"completions/max_terminated_length": 997.0,
|
| 1541 |
+
"completions/mean_length": 860.609375,
|
| 1542 |
+
"completions/mean_terminated_length": 526.0,
|
| 1543 |
+
"completions/min_length": 117.0,
|
| 1544 |
+
"completions/min_terminated_length": 117.0,
|
| 1545 |
+
"entropy": 0.33433423191308975,
|
| 1546 |
+
"epoch": 0.328,
|
| 1547 |
+
"frac_reward_zero_std": 0.0,
|
| 1548 |
+
"grad_norm": 0.01665978506207466,
|
| 1549 |
+
"kl": 0.001694458733254578,
|
| 1550 |
+
"learning_rate": 1.6317368678879497e-06,
|
| 1551 |
+
"loss": 0.0013,
|
| 1552 |
+
"num_tokens": 2111989.0,
|
| 1553 |
+
"reward": 0.23156249523162842,
|
| 1554 |
+
"reward_std": 0.42284566164016724,
|
| 1555 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.23156249523162842,
|
| 1556 |
+
"rewards/alfworld_rollout_reward_func/std": 0.4703366458415985,
|
| 1557 |
+
"rollout/action_tokens_mean": 860.609375,
|
| 1558 |
+
"rollout/episode_turns_mean": 26.859375,
|
| 1559 |
+
"rollout/mismatch_mean": 0.0,
|
| 1560 |
+
"rollout/mismatch_ratio": 0.0,
|
| 1561 |
+
"rollout/truncated_ratio": 0.71875,
|
| 1562 |
+
"sampling/importance_sampling_ratio/max": 2.746248960494995,
|
| 1563 |
+
"sampling/importance_sampling_ratio/mean": 0.47027722001075745,
|
| 1564 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 1565 |
+
"sampling/sampling_logp_difference/max": 2.0510313510894775,
|
| 1566 |
+
"sampling/sampling_logp_difference/mean": 0.019619014114141464,
|
| 1567 |
+
"step": 41,
|
| 1568 |
+
"step_time": 383.9065069159915
|
| 1569 |
+
},
|
| 1570 |
+
{
|
| 1571 |
+
"clip_ratio/high_max": 0.0,
|
| 1572 |
+
"clip_ratio/high_mean": 0.0,
|
| 1573 |
+
"clip_ratio/low_mean": 0.0,
|
| 1574 |
+
"clip_ratio/low_min": 0.0,
|
| 1575 |
+
"clip_ratio/region_mean": 0.0,
|
| 1576 |
+
"completions/clipped_ratio": 0.578125,
|
| 1577 |
+
"completions/max_length": 1491.0,
|
| 1578 |
+
"completions/max_terminated_length": 1206.0,
|
| 1579 |
+
"completions/mean_length": 699.109375,
|
| 1580 |
+
"completions/mean_terminated_length": 410.9259338378906,
|
| 1581 |
+
"completions/min_length": 178.0,
|
| 1582 |
+
"completions/min_terminated_length": 178.0,
|
| 1583 |
+
"entropy": 0.3300422574393451,
|
| 1584 |
+
"epoch": 0.336,
|
| 1585 |
+
"frac_reward_zero_std": 0.0,
|
| 1586 |
+
"grad_norm": 0.011248192749917507,
|
| 1587 |
+
"kl": 0.0020856883202213794,
|
| 1588 |
+
"learning_rate": 1.5141103622167042e-06,
|
| 1589 |
+
"loss": 0.0075,
|
| 1590 |
+
"num_tokens": 2156732.0,
|
| 1591 |
+
"reward": 0.37812501192092896,
|
| 1592 |
+
"reward_std": 0.3792918920516968,
|
| 1593 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.37812501192092896,
|
| 1594 |
+
"rewards/alfworld_rollout_reward_func/std": 0.5151386857032776,
|
| 1595 |
+
"rollout/action_tokens_mean": 699.109375,
|
| 1596 |
+
"rollout/episode_turns_mean": 23.015625,
|
| 1597 |
+
"rollout/mismatch_mean": 0.03125,
|
| 1598 |
+
"rollout/mismatch_ratio": 0.03125,
|
| 1599 |
+
"rollout/truncated_ratio": 0.578125,
|
| 1600 |
+
"sampling/importance_sampling_ratio/max": 2.8479621410369873,
|
| 1601 |
+
"sampling/importance_sampling_ratio/mean": 0.49075883626937866,
|
| 1602 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 1603 |
+
"sampling/sampling_logp_difference/max": 2.1700198650360107,
|
| 1604 |
+
"sampling/sampling_logp_difference/mean": 0.02142202854156494,
|
| 1605 |
+
"step": 42,
|
| 1606 |
+
"step_time": 342.9056702470225
|
| 1607 |
+
},
|
| 1608 |
+
{
|
| 1609 |
+
"clip_ratio/high_max": 0.0,
|
| 1610 |
+
"clip_ratio/high_mean": 0.0,
|
| 1611 |
+
"clip_ratio/low_mean": 0.0,
|
| 1612 |
+
"clip_ratio/low_min": 0.0,
|
| 1613 |
+
"clip_ratio/region_mean": 0.0,
|
| 1614 |
+
"completions/clipped_ratio": 0.71875,
|
| 1615 |
+
"completions/max_length": 1746.0,
|
| 1616 |
+
"completions/max_terminated_length": 864.0,
|
| 1617 |
+
"completions/mean_length": 780.5,
|
| 1618 |
+
"completions/mean_terminated_length": 496.6111145019531,
|
| 1619 |
+
"completions/min_length": 209.0,
|
| 1620 |
+
"completions/min_terminated_length": 209.0,
|
| 1621 |
+
"entropy": 0.31365567492321134,
|
| 1622 |
+
"epoch": 0.344,
|
| 1623 |
+
"frac_reward_zero_std": 0.0,
|
| 1624 |
+
"grad_norm": 0.013282958418130875,
|
| 1625 |
+
"kl": 0.0016229442680923967,
|
| 1626 |
+
"learning_rate": 1.3990146211059141e-06,
|
| 1627 |
+
"loss": -0.0022,
|
| 1628 |
+
"num_tokens": 2206684.0,
|
| 1629 |
+
"reward": 0.2423437535762787,
|
| 1630 |
+
"reward_std": 0.44438114762306213,
|
| 1631 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.2423437535762787,
|
| 1632 |
+
"rewards/alfworld_rollout_reward_func/std": 0.47146087884902954,
|
| 1633 |
+
"rollout/action_tokens_mean": 780.5,
|
| 1634 |
+
"rollout/episode_turns_mean": 26.484375,
|
| 1635 |
+
"rollout/mismatch_mean": 0.0,
|
| 1636 |
+
"rollout/mismatch_ratio": 0.0,
|
| 1637 |
+
"rollout/truncated_ratio": 0.71875,
|
| 1638 |
+
"sampling/importance_sampling_ratio/max": 2.7073540687561035,
|
| 1639 |
+
"sampling/importance_sampling_ratio/mean": 0.548378586769104,
|
| 1640 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 1641 |
+
"sampling/sampling_logp_difference/max": 2.89083194732666,
|
| 1642 |
+
"sampling/sampling_logp_difference/mean": 0.020154234021902084,
|
| 1643 |
+
"step": 43,
|
| 1644 |
+
"step_time": 465.0683610840024
|
| 1645 |
+
},
|
| 1646 |
+
{
|
| 1647 |
+
"clip_ratio/high_max": 0.0,
|
| 1648 |
+
"clip_ratio/high_mean": 0.0,
|
| 1649 |
+
"clip_ratio/low_mean": 0.0,
|
| 1650 |
+
"clip_ratio/low_min": 0.0,
|
| 1651 |
+
"clip_ratio/region_mean": 0.0,
|
| 1652 |
+
"completions/clipped_ratio": 0.765625,
|
| 1653 |
+
"completions/max_length": 2028.0,
|
| 1654 |
+
"completions/max_terminated_length": 1179.0,
|
| 1655 |
+
"completions/mean_length": 882.0625,
|
| 1656 |
+
"completions/mean_terminated_length": 563.0,
|
| 1657 |
+
"completions/min_length": 161.0,
|
| 1658 |
+
"completions/min_terminated_length": 161.0,
|
| 1659 |
+
"entropy": 0.30738420970737934,
|
| 1660 |
+
"epoch": 0.352,
|
| 1661 |
+
"frac_reward_zero_std": 0.0,
|
| 1662 |
+
"grad_norm": 0.011168000288307667,
|
| 1663 |
+
"kl": 0.001302105893046246,
|
| 1664 |
+
"learning_rate": 1.286745093672298e-06,
|
| 1665 |
+
"loss": 0.0006,
|
| 1666 |
+
"num_tokens": 2263136.0,
|
| 1667 |
+
"reward": 0.18671876192092896,
|
| 1668 |
+
"reward_std": 0.23547054827213287,
|
| 1669 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.18671876192092896,
|
| 1670 |
+
"rewards/alfworld_rollout_reward_func/std": 0.4461868703365326,
|
| 1671 |
+
"rollout/action_tokens_mean": 882.0625,
|
| 1672 |
+
"rollout/episode_turns_mean": 26.578125,
|
| 1673 |
+
"rollout/mismatch_mean": 0.015625,
|
| 1674 |
+
"rollout/mismatch_ratio": 0.015625,
|
| 1675 |
+
"rollout/truncated_ratio": 0.765625,
|
| 1676 |
+
"sampling/importance_sampling_ratio/max": 2.5664165019989014,
|
| 1677 |
+
"sampling/importance_sampling_ratio/mean": 0.4952065646648407,
|
| 1678 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 1679 |
+
"sampling/sampling_logp_difference/max": 8.617661476135254,
|
| 1680 |
+
"sampling/sampling_logp_difference/mean": 0.019173569977283478,
|
| 1681 |
+
"step": 44,
|
| 1682 |
+
"step_time": 361.35297568800524
|
| 1683 |
+
},
|
| 1684 |
+
{
|
| 1685 |
+
"clip_ratio/high_max": 0.0,
|
| 1686 |
+
"clip_ratio/high_mean": 0.0,
|
| 1687 |
+
"clip_ratio/low_mean": 0.0,
|
| 1688 |
+
"clip_ratio/low_min": 0.0,
|
| 1689 |
+
"clip_ratio/region_mean": 0.0,
|
| 1690 |
+
"completions/clipped_ratio": 0.65625,
|
| 1691 |
+
"completions/max_length": 1390.0,
|
| 1692 |
+
"completions/max_terminated_length": 1011.0,
|
| 1693 |
+
"completions/mean_length": 807.96875,
|
| 1694 |
+
"completions/mean_terminated_length": 565.9091186523438,
|
| 1695 |
+
"completions/min_length": 172.0,
|
| 1696 |
+
"completions/min_terminated_length": 172.0,
|
| 1697 |
+
"entropy": 0.33469977881759405,
|
| 1698 |
+
"epoch": 0.36,
|
| 1699 |
+
"frac_reward_zero_std": 0.0,
|
| 1700 |
+
"grad_norm": 0.005941484589129686,
|
| 1701 |
+
"kl": 0.001596126568983891,
|
| 1702 |
+
"learning_rate": 1.1775899741825947e-06,
|
| 1703 |
+
"loss": 0.0031,
|
| 1704 |
+
"num_tokens": 2314846.0,
|
| 1705 |
+
"reward": 0.2996875047683716,
|
| 1706 |
+
"reward_std": 0.383698046207428,
|
| 1707 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.2996875047683716,
|
| 1708 |
+
"rewards/alfworld_rollout_reward_func/std": 0.48867806792259216,
|
| 1709 |
+
"rollout/action_tokens_mean": 807.96875,
|
| 1710 |
+
"rollout/episode_turns_mean": 25.65625,
|
| 1711 |
+
"rollout/mismatch_mean": 0.0,
|
| 1712 |
+
"rollout/mismatch_ratio": 0.0,
|
| 1713 |
+
"rollout/truncated_ratio": 0.65625,
|
| 1714 |
+
"sampling/importance_sampling_ratio/max": 1.910278081893921,
|
| 1715 |
+
"sampling/importance_sampling_ratio/mean": 0.4718725383281708,
|
| 1716 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 1717 |
+
"sampling/sampling_logp_difference/max": 1.8846027851104736,
|
| 1718 |
+
"sampling/sampling_logp_difference/mean": 0.021218668669462204,
|
| 1719 |
+
"step": 45,
|
| 1720 |
+
"step_time": 477.9487361019965
|
| 1721 |
+
},
|
| 1722 |
+
{
|
| 1723 |
+
"clip_ratio/high_max": 0.0,
|
| 1724 |
+
"clip_ratio/high_mean": 0.0,
|
| 1725 |
+
"clip_ratio/low_mean": 0.0,
|
| 1726 |
+
"clip_ratio/low_min": 0.0,
|
| 1727 |
+
"clip_ratio/region_mean": 0.0,
|
| 1728 |
+
"completions/clipped_ratio": 0.609375,
|
| 1729 |
+
"completions/max_length": 1381.0,
|
| 1730 |
+
"completions/max_terminated_length": 827.0,
|
| 1731 |
+
"completions/mean_length": 659.234375,
|
| 1732 |
+
"completions/mean_terminated_length": 271.7200012207031,
|
| 1733 |
+
"completions/min_length": 106.0,
|
| 1734 |
+
"completions/min_terminated_length": 106.0,
|
| 1735 |
+
"entropy": 0.3191372868604958,
|
| 1736 |
+
"epoch": 0.368,
|
| 1737 |
+
"frac_reward_zero_std": 0.125,
|
| 1738 |
+
"grad_norm": 0.01500615943223238,
|
| 1739 |
+
"kl": 0.0017743182979756966,
|
| 1740 |
+
"learning_rate": 1.0718294622630188e-06,
|
| 1741 |
+
"loss": -0.007,
|
| 1742 |
+
"num_tokens": 2357037.0,
|
| 1743 |
+
"reward": 0.3592187464237213,
|
| 1744 |
+
"reward_std": 0.3250337839126587,
|
| 1745 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.3592187464237213,
|
| 1746 |
+
"rewards/alfworld_rollout_reward_func/std": 0.5135136246681213,
|
| 1747 |
+
"rollout/action_tokens_mean": 659.234375,
|
| 1748 |
+
"rollout/episode_turns_mean": 21.640625,
|
| 1749 |
+
"rollout/mismatch_mean": 0.0,
|
| 1750 |
+
"rollout/mismatch_ratio": 0.0,
|
| 1751 |
+
"rollout/truncated_ratio": 0.609375,
|
| 1752 |
+
"sampling/importance_sampling_ratio/max": 2.703761100769043,
|
| 1753 |
+
"sampling/importance_sampling_ratio/mean": 0.6121923923492432,
|
| 1754 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 1755 |
+
"sampling/sampling_logp_difference/max": 1.5571508407592773,
|
| 1756 |
+
"sampling/sampling_logp_difference/mean": 0.02017129212617874,
|
| 1757 |
+
"step": 46,
|
| 1758 |
+
"step_time": 368.9170330479901
|
| 1759 |
+
},
|
| 1760 |
+
{
|
| 1761 |
+
"clip_ratio/high_max": 0.0,
|
| 1762 |
+
"clip_ratio/high_mean": 0.0,
|
| 1763 |
+
"clip_ratio/low_mean": 0.0,
|
| 1764 |
+
"clip_ratio/low_min": 0.0,
|
| 1765 |
+
"clip_ratio/region_mean": 0.0,
|
| 1766 |
+
"completions/clipped_ratio": 0.46875,
|
| 1767 |
+
"completions/max_length": 1449.0,
|
| 1768 |
+
"completions/max_terminated_length": 879.0,
|
| 1769 |
+
"completions/mean_length": 630.171875,
|
| 1770 |
+
"completions/mean_terminated_length": 346.20587158203125,
|
| 1771 |
+
"completions/min_length": 75.0,
|
| 1772 |
+
"completions/min_terminated_length": 75.0,
|
| 1773 |
+
"entropy": 0.33235412929207087,
|
| 1774 |
+
"epoch": 0.376,
|
| 1775 |
+
"frac_reward_zero_std": 0.0,
|
| 1776 |
+
"grad_norm": 0.014015787281095982,
|
| 1777 |
+
"kl": 0.001809486606362043,
|
| 1778 |
+
"learning_rate": 9.697350436308428e-07,
|
| 1779 |
+
"loss": 0.0171,
|
| 1780 |
+
"num_tokens": 2397368.0,
|
| 1781 |
+
"reward": 0.4931250214576721,
|
| 1782 |
+
"reward_std": 0.29200682044029236,
|
| 1783 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.4931250214576721,
|
| 1784 |
+
"rewards/alfworld_rollout_reward_func/std": 0.5321918725967407,
|
| 1785 |
+
"rollout/action_tokens_mean": 630.171875,
|
| 1786 |
+
"rollout/episode_turns_mean": 19.6875,
|
| 1787 |
+
"rollout/mismatch_mean": 0.0,
|
| 1788 |
+
"rollout/mismatch_ratio": 0.0,
|
| 1789 |
+
"rollout/truncated_ratio": 0.46875,
|
| 1790 |
+
"sampling/importance_sampling_ratio/max": 2.7606446743011475,
|
| 1791 |
+
"sampling/importance_sampling_ratio/mean": 0.6627721190452576,
|
| 1792 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 1793 |
+
"sampling/sampling_logp_difference/max": 1.4474594593048096,
|
| 1794 |
+
"sampling/sampling_logp_difference/mean": 0.02060038223862648,
|
| 1795 |
+
"step": 47,
|
| 1796 |
+
"step_time": 259.2473690390034
|
| 1797 |
+
},
|
| 1798 |
+
{
|
| 1799 |
+
"clip_ratio/high_max": 0.0,
|
| 1800 |
+
"clip_ratio/high_mean": 0.0,
|
| 1801 |
+
"clip_ratio/low_mean": 0.0,
|
| 1802 |
+
"clip_ratio/low_min": 0.0,
|
| 1803 |
+
"clip_ratio/region_mean": 0.0,
|
| 1804 |
+
"completions/clipped_ratio": 0.875,
|
| 1805 |
+
"completions/max_length": 2126.0,
|
| 1806 |
+
"completions/max_terminated_length": 1218.0,
|
| 1807 |
+
"completions/mean_length": 943.59375,
|
| 1808 |
+
"completions/mean_terminated_length": 424.0,
|
| 1809 |
+
"completions/min_length": 207.0,
|
| 1810 |
+
"completions/min_terminated_length": 207.0,
|
| 1811 |
+
"entropy": 0.3577259639278054,
|
| 1812 |
+
"epoch": 0.384,
|
| 1813 |
+
"frac_reward_zero_std": 0.0,
|
| 1814 |
+
"grad_norm": 0.014235694892704487,
|
| 1815 |
+
"kl": 0.0015301553139579482,
|
| 1816 |
+
"learning_rate": 8.71568793194445e-07,
|
| 1817 |
+
"loss": 0.0326,
|
| 1818 |
+
"num_tokens": 2457758.0,
|
| 1819 |
+
"reward": 0.06859375536441803,
|
| 1820 |
+
"reward_std": 0.24723710119724274,
|
| 1821 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.06859375536441803,
|
| 1822 |
+
"rewards/alfworld_rollout_reward_func/std": 0.3545883595943451,
|
| 1823 |
+
"rollout/action_tokens_mean": 943.59375,
|
| 1824 |
+
"rollout/episode_turns_mean": 27.734375,
|
| 1825 |
+
"rollout/mismatch_mean": 0.0,
|
| 1826 |
+
"rollout/mismatch_ratio": 0.0,
|
| 1827 |
+
"rollout/truncated_ratio": 0.875,
|
| 1828 |
+
"sampling/importance_sampling_ratio/max": 2.791482925415039,
|
| 1829 |
+
"sampling/importance_sampling_ratio/mean": 0.5324603319168091,
|
| 1830 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 1831 |
+
"sampling/sampling_logp_difference/max": 1.8059403896331787,
|
| 1832 |
+
"sampling/sampling_logp_difference/mean": 0.020999200642108917,
|
| 1833 |
+
"step": 48,
|
| 1834 |
+
"step_time": 384.36283810400346
|
| 1835 |
+
},
|
| 1836 |
+
{
|
| 1837 |
+
"clip_ratio/high_max": 0.0,
|
| 1838 |
+
"clip_ratio/high_mean": 0.0,
|
| 1839 |
+
"clip_ratio/low_mean": 0.0,
|
| 1840 |
+
"clip_ratio/low_min": 0.0,
|
| 1841 |
+
"clip_ratio/region_mean": 0.0,
|
| 1842 |
+
"completions/clipped_ratio": 0.734375,
|
| 1843 |
+
"completions/max_length": 1635.0,
|
| 1844 |
+
"completions/max_terminated_length": 980.0,
|
| 1845 |
+
"completions/mean_length": 861.203125,
|
| 1846 |
+
"completions/mean_terminated_length": 481.4705810546875,
|
| 1847 |
+
"completions/min_length": 144.0,
|
| 1848 |
+
"completions/min_terminated_length": 144.0,
|
| 1849 |
+
"entropy": 0.36975698871538043,
|
| 1850 |
+
"epoch": 0.392,
|
| 1851 |
+
"frac_reward_zero_std": 0.0,
|
| 1852 |
+
"grad_norm": 0.006656537763774395,
|
| 1853 |
+
"kl": 0.0018834842448995914,
|
| 1854 |
+
"learning_rate": 7.775827023107835e-07,
|
| 1855 |
+
"loss": 0.0044,
|
| 1856 |
+
"num_tokens": 2512875.0,
|
| 1857 |
+
"reward": 0.21015624701976776,
|
| 1858 |
+
"reward_std": 0.3197978734970093,
|
| 1859 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.21015626192092896,
|
| 1860 |
+
"rewards/alfworld_rollout_reward_func/std": 0.4713321030139923,
|
| 1861 |
+
"rollout/action_tokens_mean": 861.203125,
|
| 1862 |
+
"rollout/episode_turns_mean": 26.59375,
|
| 1863 |
+
"rollout/mismatch_mean": 0.015625,
|
| 1864 |
+
"rollout/mismatch_ratio": 0.015625,
|
| 1865 |
+
"rollout/truncated_ratio": 0.734375,
|
| 1866 |
+
"sampling/importance_sampling_ratio/max": 2.697384834289551,
|
| 1867 |
+
"sampling/importance_sampling_ratio/mean": 0.4099380373954773,
|
| 1868 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 1869 |
+
"sampling/sampling_logp_difference/max": 4.545639991760254,
|
| 1870 |
+
"sampling/sampling_logp_difference/mean": 0.02258184552192688,
|
| 1871 |
+
"step": 49,
|
| 1872 |
+
"step_time": 397.8871677600073
|
| 1873 |
+
},
|
| 1874 |
+
{
|
| 1875 |
+
"clip_ratio/high_max": 0.0,
|
| 1876 |
+
"clip_ratio/high_mean": 0.0,
|
| 1877 |
+
"clip_ratio/low_mean": 0.0,
|
| 1878 |
+
"clip_ratio/low_min": 0.0,
|
| 1879 |
+
"clip_ratio/region_mean": 0.0,
|
| 1880 |
+
"completions/clipped_ratio": 0.75,
|
| 1881 |
+
"completions/max_length": 1624.0,
|
| 1882 |
+
"completions/max_terminated_length": 910.0,
|
| 1883 |
+
"completions/mean_length": 887.515625,
|
| 1884 |
+
"completions/mean_terminated_length": 580.0625,
|
| 1885 |
+
"completions/min_length": 240.0,
|
| 1886 |
+
"completions/min_terminated_length": 240.0,
|
| 1887 |
+
"entropy": 0.3667739760130644,
|
| 1888 |
+
"epoch": 0.4,
|
| 1889 |
+
"frac_reward_zero_std": 0.0,
|
| 1890 |
+
"grad_norm": 0.013544962741434574,
|
| 1891 |
+
"kl": 0.0015946346466080286,
|
| 1892 |
+
"learning_rate": 6.880180319272006e-07,
|
| 1893 |
+
"loss": 0.0071,
|
| 1894 |
+
"num_tokens": 2569676.0,
|
| 1895 |
+
"reward": 0.1901562511920929,
|
| 1896 |
+
"reward_std": 0.45852425694465637,
|
| 1897 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.1901562511920929,
|
| 1898 |
+
"rewards/alfworld_rollout_reward_func/std": 0.4570210576057434,
|
| 1899 |
+
"rollout/action_tokens_mean": 887.515625,
|
| 1900 |
+
"rollout/episode_turns_mean": 26.828125,
|
| 1901 |
+
"rollout/mismatch_mean": 0.015625,
|
| 1902 |
+
"rollout/mismatch_ratio": 0.015625,
|
| 1903 |
+
"rollout/truncated_ratio": 0.75,
|
| 1904 |
+
"sampling/importance_sampling_ratio/max": 2.99810791015625,
|
| 1905 |
+
"sampling/importance_sampling_ratio/mean": 0.5466522574424744,
|
| 1906 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 1907 |
+
"sampling/sampling_logp_difference/max": 4.044807434082031,
|
| 1908 |
+
"sampling/sampling_logp_difference/mean": 0.02207544818520546,
|
| 1909 |
+
"step": 50,
|
| 1910 |
+
"step_time": 363.5887358939908
|
| 1911 |
+
},
|
| 1912 |
+
{
|
| 1913 |
+
"clip_ratio/high_max": 0.0,
|
| 1914 |
+
"clip_ratio/high_mean": 0.0,
|
| 1915 |
+
"clip_ratio/low_mean": 0.0,
|
| 1916 |
+
"clip_ratio/low_min": 0.0,
|
| 1917 |
+
"clip_ratio/region_mean": 0.0,
|
| 1918 |
+
"completions/clipped_ratio": 0.65625,
|
| 1919 |
+
"completions/max_length": 1596.0,
|
| 1920 |
+
"completions/max_terminated_length": 1015.0,
|
| 1921 |
+
"completions/mean_length": 773.125,
|
| 1922 |
+
"completions/mean_terminated_length": 392.4090881347656,
|
| 1923 |
+
"completions/min_length": 110.0,
|
| 1924 |
+
"completions/min_terminated_length": 110.0,
|
| 1925 |
+
"entropy": 0.3592249136418104,
|
| 1926 |
+
"epoch": 0.408,
|
| 1927 |
+
"frac_reward_zero_std": 0.0,
|
| 1928 |
+
"grad_norm": 0.01083005964756012,
|
| 1929 |
+
"kl": 0.002072367888104054,
|
| 1930 |
+
"learning_rate": 6.031046932680229e-07,
|
| 1931 |
+
"loss": 0.0148,
|
| 1932 |
+
"num_tokens": 2619156.0,
|
| 1933 |
+
"reward": 0.30000001192092896,
|
| 1934 |
+
"reward_std": 0.43087929487228394,
|
| 1935 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.30000001192092896,
|
| 1936 |
+
"rewards/alfworld_rollout_reward_func/std": 0.500076174736023,
|
| 1937 |
+
"rollout/action_tokens_mean": 773.125,
|
| 1938 |
+
"rollout/episode_turns_mean": 24.046875,
|
| 1939 |
+
"rollout/mismatch_mean": 0.0,
|
| 1940 |
+
"rollout/mismatch_ratio": 0.0,
|
| 1941 |
+
"rollout/truncated_ratio": 0.65625,
|
| 1942 |
+
"sampling/importance_sampling_ratio/max": 2.189059257507324,
|
| 1943 |
+
"sampling/importance_sampling_ratio/mean": 0.4208452105522156,
|
| 1944 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 1945 |
+
"sampling/sampling_logp_difference/max": 1.6584203243255615,
|
| 1946 |
+
"sampling/sampling_logp_difference/mean": 0.022034121677279472,
|
| 1947 |
+
"step": 51,
|
| 1948 |
+
"step_time": 381.66528784099137
|
| 1949 |
+
},
|
| 1950 |
+
{
|
| 1951 |
+
"clip_ratio/high_max": 0.0,
|
| 1952 |
+
"clip_ratio/high_mean": 0.0,
|
| 1953 |
+
"clip_ratio/low_mean": 0.0,
|
| 1954 |
+
"clip_ratio/low_min": 0.0,
|
| 1955 |
+
"clip_ratio/region_mean": 0.0,
|
| 1956 |
+
"completions/clipped_ratio": 0.59375,
|
| 1957 |
+
"completions/max_length": 1738.0,
|
| 1958 |
+
"completions/max_terminated_length": 1079.0,
|
| 1959 |
+
"completions/mean_length": 780.3125,
|
| 1960 |
+
"completions/mean_terminated_length": 445.5769348144531,
|
| 1961 |
+
"completions/min_length": 98.0,
|
| 1962 |
+
"completions/min_terminated_length": 98.0,
|
| 1963 |
+
"entropy": 0.3415462737902999,
|
| 1964 |
+
"epoch": 0.416,
|
| 1965 |
+
"frac_reward_zero_std": 0.0,
|
| 1966 |
+
"grad_norm": 0.005050386302173138,
|
| 1967 |
+
"kl": 0.0017878458802442765,
|
| 1968 |
+
"learning_rate": 5.23060657655754e-07,
|
| 1969 |
+
"loss": -0.0079,
|
| 1970 |
+
"num_tokens": 2669096.0,
|
| 1971 |
+
"reward": 0.3726562559604645,
|
| 1972 |
+
"reward_std": 0.36754581332206726,
|
| 1973 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.3726562559604645,
|
| 1974 |
+
"rewards/alfworld_rollout_reward_func/std": 0.5065045356750488,
|
| 1975 |
+
"rollout/action_tokens_mean": 780.3125,
|
| 1976 |
+
"rollout/episode_turns_mean": 23.90625,
|
| 1977 |
+
"rollout/mismatch_mean": 0.015625,
|
| 1978 |
+
"rollout/mismatch_ratio": 0.015625,
|
| 1979 |
+
"rollout/truncated_ratio": 0.59375,
|
| 1980 |
+
"sampling/importance_sampling_ratio/max": 2.1458444595336914,
|
| 1981 |
+
"sampling/importance_sampling_ratio/mean": 0.4066748023033142,
|
| 1982 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 1983 |
+
"sampling/sampling_logp_difference/max": 2.5774283409118652,
|
| 1984 |
+
"sampling/sampling_logp_difference/mean": 0.022033972665667534,
|
| 1985 |
+
"step": 52,
|
| 1986 |
+
"step_time": 482.9236067970087
|
| 1987 |
+
},
|
| 1988 |
+
{
|
| 1989 |
+
"clip_ratio/high_max": 0.0,
|
| 1990 |
+
"clip_ratio/high_mean": 0.0,
|
| 1991 |
+
"clip_ratio/low_mean": 0.0,
|
| 1992 |
+
"clip_ratio/low_min": 0.0,
|
| 1993 |
+
"clip_ratio/region_mean": 0.0,
|
| 1994 |
+
"completions/clipped_ratio": 0.734375,
|
| 1995 |
+
"completions/max_length": 1387.0,
|
| 1996 |
+
"completions/max_terminated_length": 1161.0,
|
| 1997 |
+
"completions/mean_length": 819.3125,
|
| 1998 |
+
"completions/mean_terminated_length": 579.8823852539062,
|
| 1999 |
+
"completions/min_length": 158.0,
|
| 2000 |
+
"completions/min_terminated_length": 158.0,
|
| 2001 |
+
"entropy": 0.33714828826487064,
|
| 2002 |
+
"epoch": 0.424,
|
| 2003 |
+
"frac_reward_zero_std": 0.0,
|
| 2004 |
+
"grad_norm": 0.010500618256628513,
|
| 2005 |
+
"kl": 0.0019351580704096705,
|
| 2006 |
+
"learning_rate": 4.480913969818099e-07,
|
| 2007 |
+
"loss": -0.0017,
|
| 2008 |
+
"num_tokens": 2721532.0,
|
| 2009 |
+
"reward": 0.21718750894069672,
|
| 2010 |
+
"reward_std": 0.38691049814224243,
|
| 2011 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.21718750894069672,
|
| 2012 |
+
"rewards/alfworld_rollout_reward_func/std": 0.4590102434158325,
|
| 2013 |
+
"rollout/action_tokens_mean": 819.3125,
|
| 2014 |
+
"rollout/episode_turns_mean": 27.015625,
|
| 2015 |
+
"rollout/mismatch_mean": 0.0,
|
| 2016 |
+
"rollout/mismatch_ratio": 0.0,
|
| 2017 |
+
"rollout/truncated_ratio": 0.734375,
|
| 2018 |
+
"sampling/importance_sampling_ratio/max": 2.4449539184570312,
|
| 2019 |
+
"sampling/importance_sampling_ratio/mean": 0.38772356510162354,
|
| 2020 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 2021 |
+
"sampling/sampling_logp_difference/max": 1.6585437059402466,
|
| 2022 |
+
"sampling/sampling_logp_difference/mean": 0.020567741245031357,
|
| 2023 |
+
"step": 53,
|
| 2024 |
+
"step_time": 440.7185651119944
|
| 2025 |
+
},
|
| 2026 |
+
{
|
| 2027 |
+
"clip_ratio/high_max": 0.0,
|
| 2028 |
+
"clip_ratio/high_mean": 0.0,
|
| 2029 |
+
"clip_ratio/low_mean": 0.0,
|
| 2030 |
+
"clip_ratio/low_min": 0.0,
|
| 2031 |
+
"clip_ratio/region_mean": 0.0,
|
| 2032 |
+
"completions/clipped_ratio": 0.765625,
|
| 2033 |
+
"completions/max_length": 1538.0,
|
| 2034 |
+
"completions/max_terminated_length": 1077.0,
|
| 2035 |
+
"completions/mean_length": 858.40625,
|
| 2036 |
+
"completions/mean_terminated_length": 563.4666748046875,
|
| 2037 |
+
"completions/min_length": 196.0,
|
| 2038 |
+
"completions/min_terminated_length": 196.0,
|
| 2039 |
+
"entropy": 0.3832448711618781,
|
| 2040 |
+
"epoch": 0.432,
|
| 2041 |
+
"frac_reward_zero_std": 0.0,
|
| 2042 |
+
"grad_norm": 0.00624613743275404,
|
| 2043 |
+
"kl": 0.0019235094769101124,
|
| 2044 |
+
"learning_rate": 3.7838935626312246e-07,
|
| 2045 |
+
"loss": -0.003,
|
| 2046 |
+
"num_tokens": 2776470.0,
|
| 2047 |
+
"reward": 0.18359375,
|
| 2048 |
+
"reward_std": 0.32859885692596436,
|
| 2049 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.18359375,
|
| 2050 |
+
"rewards/alfworld_rollout_reward_func/std": 0.44527989625930786,
|
| 2051 |
+
"rollout/action_tokens_mean": 858.40625,
|
| 2052 |
+
"rollout/episode_turns_mean": 26.546875,
|
| 2053 |
+
"rollout/mismatch_mean": 0.0,
|
| 2054 |
+
"rollout/mismatch_ratio": 0.0,
|
| 2055 |
+
"rollout/truncated_ratio": 0.765625,
|
| 2056 |
+
"sampling/importance_sampling_ratio/max": 2.0156307220458984,
|
| 2057 |
+
"sampling/importance_sampling_ratio/mean": 0.2892346978187561,
|
| 2058 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 2059 |
+
"sampling/sampling_logp_difference/max": 1.6584253311157227,
|
| 2060 |
+
"sampling/sampling_logp_difference/mean": 0.022003933787345886,
|
| 2061 |
+
"step": 54,
|
| 2062 |
+
"step_time": 433.99726870600716
|
| 2063 |
+
},
|
| 2064 |
+
{
|
| 2065 |
+
"clip_ratio/high_max": 0.0,
|
| 2066 |
+
"clip_ratio/high_mean": 0.0,
|
| 2067 |
+
"clip_ratio/low_mean": 0.0,
|
| 2068 |
+
"clip_ratio/low_min": 0.0,
|
| 2069 |
+
"clip_ratio/region_mean": 0.0,
|
| 2070 |
+
"completions/clipped_ratio": 0.640625,
|
| 2071 |
+
"completions/max_length": 1862.0,
|
| 2072 |
+
"completions/max_terminated_length": 1001.0,
|
| 2073 |
+
"completions/mean_length": 774.25,
|
| 2074 |
+
"completions/mean_terminated_length": 319.9565124511719,
|
| 2075 |
+
"completions/min_length": 103.0,
|
| 2076 |
+
"completions/min_terminated_length": 103.0,
|
| 2077 |
+
"entropy": 0.3484980883076787,
|
| 2078 |
+
"epoch": 0.44,
|
| 2079 |
+
"frac_reward_zero_std": 0.125,
|
| 2080 |
+
"grad_norm": 0.019602373242378235,
|
| 2081 |
+
"kl": 0.0015943678226904012,
|
| 2082 |
+
"learning_rate": 3.141334596385448e-07,
|
| 2083 |
+
"loss": 0.0162,
|
| 2084 |
+
"num_tokens": 2826022.0,
|
| 2085 |
+
"reward": 0.30687499046325684,
|
| 2086 |
+
"reward_std": 0.2975793182849884,
|
| 2087 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.30687499046325684,
|
| 2088 |
+
"rewards/alfworld_rollout_reward_func/std": 0.5158684253692627,
|
| 2089 |
+
"rollout/action_tokens_mean": 774.25,
|
| 2090 |
+
"rollout/episode_turns_mean": 22.890625,
|
| 2091 |
+
"rollout/mismatch_mean": 0.0,
|
| 2092 |
+
"rollout/mismatch_ratio": 0.0,
|
| 2093 |
+
"rollout/truncated_ratio": 0.640625,
|
| 2094 |
+
"sampling/importance_sampling_ratio/max": 2.4803109169006348,
|
| 2095 |
+
"sampling/importance_sampling_ratio/mean": 0.5007343292236328,
|
| 2096 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 2097 |
+
"sampling/sampling_logp_difference/max": 1.6167523860931396,
|
| 2098 |
+
"sampling/sampling_logp_difference/mean": 0.021400175988674164,
|
| 2099 |
+
"step": 55,
|
| 2100 |
+
"step_time": 371.2160142980065
|
| 2101 |
+
},
|
| 2102 |
+
{
|
| 2103 |
+
"clip_ratio/high_max": 0.0,
|
| 2104 |
+
"clip_ratio/high_mean": 0.0,
|
| 2105 |
+
"clip_ratio/low_mean": 0.0,
|
| 2106 |
+
"clip_ratio/low_min": 0.0,
|
| 2107 |
+
"clip_ratio/region_mean": 0.0,
|
| 2108 |
+
"completions/clipped_ratio": 0.734375,
|
| 2109 |
+
"completions/max_length": 1620.0,
|
| 2110 |
+
"completions/max_terminated_length": 957.0,
|
| 2111 |
+
"completions/mean_length": 795.484375,
|
| 2112 |
+
"completions/mean_terminated_length": 376.058837890625,
|
| 2113 |
+
"completions/min_length": 136.0,
|
| 2114 |
+
"completions/min_terminated_length": 136.0,
|
| 2115 |
+
"entropy": 0.32310054916888475,
|
| 2116 |
+
"epoch": 0.448,
|
| 2117 |
+
"frac_reward_zero_std": 0.0,
|
| 2118 |
+
"grad_norm": 0.01010950654745102,
|
| 2119 |
+
"kl": 0.0015955448616296053,
|
| 2120 |
+
"learning_rate": 2.5548865107314606e-07,
|
| 2121 |
+
"loss": 0.0093,
|
| 2122 |
+
"num_tokens": 2876933.0,
|
| 2123 |
+
"reward": 0.22109374403953552,
|
| 2124 |
+
"reward_std": 0.31529495120048523,
|
| 2125 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.22109374403953552,
|
| 2126 |
+
"rewards/alfworld_rollout_reward_func/std": 0.4678628444671631,
|
| 2127 |
+
"rollout/action_tokens_mean": 795.484375,
|
| 2128 |
+
"rollout/episode_turns_mean": 25.328125,
|
| 2129 |
+
"rollout/mismatch_mean": 0.015625,
|
| 2130 |
+
"rollout/mismatch_ratio": 0.015625,
|
| 2131 |
+
"rollout/truncated_ratio": 0.734375,
|
| 2132 |
+
"sampling/importance_sampling_ratio/max": 2.8859243392944336,
|
| 2133 |
+
"sampling/importance_sampling_ratio/mean": 0.5188072919845581,
|
| 2134 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 2135 |
+
"sampling/sampling_logp_difference/max": 5.368804454803467,
|
| 2136 |
+
"sampling/sampling_logp_difference/mean": 0.020041368901729584,
|
| 2137 |
+
"step": 56,
|
| 2138 |
+
"step_time": 424.94623591700656
|
| 2139 |
+
},
|
| 2140 |
+
{
|
| 2141 |
+
"clip_ratio/high_max": 0.0,
|
| 2142 |
+
"clip_ratio/high_mean": 0.0,
|
| 2143 |
+
"clip_ratio/low_mean": 0.0,
|
| 2144 |
+
"clip_ratio/low_min": 0.0,
|
| 2145 |
+
"clip_ratio/region_mean": 0.0,
|
| 2146 |
+
"completions/clipped_ratio": 0.71875,
|
| 2147 |
+
"completions/max_length": 1384.0,
|
| 2148 |
+
"completions/max_terminated_length": 1021.0,
|
| 2149 |
+
"completions/mean_length": 818.9375,
|
| 2150 |
+
"completions/mean_terminated_length": 486.0,
|
| 2151 |
+
"completions/min_length": 213.0,
|
| 2152 |
+
"completions/min_terminated_length": 213.0,
|
| 2153 |
+
"entropy": 0.35508036240935326,
|
| 2154 |
+
"epoch": 0.456,
|
| 2155 |
+
"frac_reward_zero_std": 0.0,
|
| 2156 |
+
"grad_norm": 0.010526562109589577,
|
| 2157 |
+
"kl": 0.0017983552861551289,
|
| 2158 |
+
"learning_rate": 2.026054709494235e-07,
|
| 2159 |
+
"loss": -0.0097,
|
| 2160 |
+
"num_tokens": 2929345.0,
|
| 2161 |
+
"reward": 0.23046875,
|
| 2162 |
+
"reward_std": 0.4045883119106293,
|
| 2163 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.23046875,
|
| 2164 |
+
"rewards/alfworld_rollout_reward_func/std": 0.475816547870636,
|
| 2165 |
+
"rollout/action_tokens_mean": 818.9375,
|
| 2166 |
+
"rollout/episode_turns_mean": 25.953125,
|
| 2167 |
+
"rollout/mismatch_mean": 0.015625,
|
| 2168 |
+
"rollout/mismatch_ratio": 0.015625,
|
| 2169 |
+
"rollout/truncated_ratio": 0.71875,
|
| 2170 |
+
"sampling/importance_sampling_ratio/max": 2.9720585346221924,
|
| 2171 |
+
"sampling/importance_sampling_ratio/mean": 0.5196441411972046,
|
| 2172 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 2173 |
+
"sampling/sampling_logp_difference/max": 1.8799049854278564,
|
| 2174 |
+
"sampling/sampling_logp_difference/mean": 0.022473536431789398,
|
| 2175 |
+
"step": 57,
|
| 2176 |
+
"step_time": 439.1710239440072
|
| 2177 |
+
},
|
| 2178 |
+
{
|
| 2179 |
+
"clip_ratio/high_max": 0.0,
|
| 2180 |
+
"clip_ratio/high_mean": 0.0,
|
| 2181 |
+
"clip_ratio/low_mean": 0.0,
|
| 2182 |
+
"clip_ratio/low_min": 0.0,
|
| 2183 |
+
"clip_ratio/region_mean": 0.0,
|
| 2184 |
+
"completions/clipped_ratio": 0.5625,
|
| 2185 |
+
"completions/max_length": 1419.0,
|
| 2186 |
+
"completions/max_terminated_length": 765.0,
|
| 2187 |
+
"completions/mean_length": 738.4375,
|
| 2188 |
+
"completions/mean_terminated_length": 387.2500305175781,
|
| 2189 |
+
"completions/min_length": 137.0,
|
| 2190 |
+
"completions/min_terminated_length": 137.0,
|
| 2191 |
+
"entropy": 0.3470684285275638,
|
| 2192 |
+
"epoch": 0.464,
|
| 2193 |
+
"frac_reward_zero_std": 0.0,
|
| 2194 |
+
"grad_norm": 0.00702791940420866,
|
| 2195 |
+
"kl": 0.0016746247110859258,
|
| 2196 |
+
"learning_rate": 1.5561966963229925e-07,
|
| 2197 |
+
"loss": -0.0058,
|
| 2198 |
+
"num_tokens": 2976605.0,
|
| 2199 |
+
"reward": 0.3982812762260437,
|
| 2200 |
+
"reward_std": 0.37868061661720276,
|
| 2201 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.3982812464237213,
|
| 2202 |
+
"rewards/alfworld_rollout_reward_func/std": 0.5275837779045105,
|
| 2203 |
+
"rollout/action_tokens_mean": 738.4375,
|
| 2204 |
+
"rollout/episode_turns_mean": 22.078125,
|
| 2205 |
+
"rollout/mismatch_mean": 0.0,
|
| 2206 |
+
"rollout/mismatch_ratio": 0.0,
|
| 2207 |
+
"rollout/truncated_ratio": 0.5625,
|
| 2208 |
+
"sampling/importance_sampling_ratio/max": 1.7666839361190796,
|
| 2209 |
+
"sampling/importance_sampling_ratio/mean": 0.42546379566192627,
|
| 2210 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 2211 |
+
"sampling/sampling_logp_difference/max": 2.1239027976989746,
|
| 2212 |
+
"sampling/sampling_logp_difference/mean": 0.02082432433962822,
|
| 2213 |
+
"step": 58,
|
| 2214 |
+
"step_time": 360.1903216189894
|
| 2215 |
+
},
|
| 2216 |
+
{
|
| 2217 |
+
"clip_ratio/high_max": 0.0,
|
| 2218 |
+
"clip_ratio/high_mean": 0.0,
|
| 2219 |
+
"clip_ratio/low_mean": 0.0,
|
| 2220 |
+
"clip_ratio/low_min": 0.0,
|
| 2221 |
+
"clip_ratio/region_mean": 0.0,
|
| 2222 |
+
"completions/clipped_ratio": 0.4375,
|
| 2223 |
+
"completions/max_length": 1488.0,
|
| 2224 |
+
"completions/max_terminated_length": 1112.0,
|
| 2225 |
+
"completions/mean_length": 657.859375,
|
| 2226 |
+
"completions/mean_terminated_length": 380.02777099609375,
|
| 2227 |
+
"completions/min_length": 81.0,
|
| 2228 |
+
"completions/min_terminated_length": 81.0,
|
| 2229 |
+
"entropy": 0.3138961121439934,
|
| 2230 |
+
"epoch": 0.472,
|
| 2231 |
+
"frac_reward_zero_std": 0.125,
|
| 2232 |
+
"grad_norm": 0.016277866438031197,
|
| 2233 |
+
"kl": 0.0016064580941019813,
|
| 2234 |
+
"learning_rate": 1.1465185899987797e-07,
|
| 2235 |
+
"loss": 0.0023,
|
| 2236 |
+
"num_tokens": 3018708.0,
|
| 2237 |
+
"reward": 0.5278124809265137,
|
| 2238 |
+
"reward_std": 0.386292964220047,
|
| 2239 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.5278124809265137,
|
| 2240 |
+
"rewards/alfworld_rollout_reward_func/std": 0.5249382853507996,
|
| 2241 |
+
"rollout/action_tokens_mean": 657.859375,
|
| 2242 |
+
"rollout/episode_turns_mean": 19.984375,
|
| 2243 |
+
"rollout/mismatch_mean": 0.0,
|
| 2244 |
+
"rollout/mismatch_ratio": 0.0,
|
| 2245 |
+
"rollout/truncated_ratio": 0.4375,
|
| 2246 |
+
"sampling/importance_sampling_ratio/max": 2.904142379760742,
|
| 2247 |
+
"sampling/importance_sampling_ratio/mean": 0.5997130274772644,
|
| 2248 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 2249 |
+
"sampling/sampling_logp_difference/max": 1.4242944717407227,
|
| 2250 |
+
"sampling/sampling_logp_difference/mean": 0.01990351639688015,
|
| 2251 |
+
"step": 59,
|
| 2252 |
+
"step_time": 324.923169317015
|
| 2253 |
+
},
|
| 2254 |
+
{
|
| 2255 |
+
"clip_ratio/high_max": 0.0,
|
| 2256 |
+
"clip_ratio/high_mean": 0.0,
|
| 2257 |
+
"clip_ratio/low_mean": 0.0,
|
| 2258 |
+
"clip_ratio/low_min": 0.0,
|
| 2259 |
+
"clip_ratio/region_mean": 0.0,
|
| 2260 |
+
"completions/clipped_ratio": 0.65625,
|
| 2261 |
+
"completions/max_length": 1532.0,
|
| 2262 |
+
"completions/max_terminated_length": 1118.0,
|
| 2263 |
+
"completions/mean_length": 825.765625,
|
| 2264 |
+
"completions/mean_terminated_length": 551.6818237304688,
|
| 2265 |
+
"completions/min_length": 132.0,
|
| 2266 |
+
"completions/min_terminated_length": 132.0,
|
| 2267 |
+
"entropy": 0.3388841552659869,
|
| 2268 |
+
"epoch": 0.48,
|
| 2269 |
+
"frac_reward_zero_std": 0.0,
|
| 2270 |
+
"grad_norm": 0.01379719190299511,
|
| 2271 |
+
"kl": 0.001881336524093058,
|
| 2272 |
+
"learning_rate": 7.980720283448957e-08,
|
| 2273 |
+
"loss": 0.0022,
|
| 2274 |
+
"num_tokens": 3071557.0,
|
| 2275 |
+
"reward": 0.28171876072883606,
|
| 2276 |
+
"reward_std": 0.49070847034454346,
|
| 2277 |
+
"rewards/alfworld_rollout_reward_func/mean": 0.28171873092651367,
|
| 2278 |
+
"rewards/alfworld_rollout_reward_func/std": 0.50815749168396,
|
| 2279 |
+
"rollout/action_tokens_mean": 825.765625,
|
| 2280 |
+
"rollout/episode_turns_mean": 25.703125,
|
| 2281 |
+
"rollout/mismatch_mean": 0.015625,
|
| 2282 |
+
"rollout/mismatch_ratio": 0.015625,
|
| 2283 |
+
"rollout/truncated_ratio": 0.65625,
|
| 2284 |
+
"sampling/importance_sampling_ratio/max": 2.6620919704437256,
|
| 2285 |
+
"sampling/importance_sampling_ratio/mean": 0.47809475660324097,
|
| 2286 |
+
"sampling/importance_sampling_ratio/min": 0.0,
|
| 2287 |
+
"sampling/sampling_logp_difference/max": 4.668699741363525,
|
| 2288 |
+
"sampling/sampling_logp_difference/mean": 0.02150684781372547,
|
| 2289 |
+
"step": 60,
|
| 2290 |
+
"step_time": 377.0457431760042
|
| 2291 |
+
}
|
| 2292 |
+
],
|
| 2293 |
+
"logging_steps": 1,
|
| 2294 |
+
"max_steps": 64,
|
| 2295 |
+
"num_input_tokens_seen": 3071557,
|
| 2296 |
+
"num_train_epochs": 1,
|
| 2297 |
+
"save_steps": 20,
|
| 2298 |
+
"stateful_callbacks": {
|
| 2299 |
+
"TrainerControl": {
|
| 2300 |
+
"args": {
|
| 2301 |
+
"should_epoch_stop": false,
|
| 2302 |
+
"should_evaluate": false,
|
| 2303 |
+
"should_log": false,
|
| 2304 |
+
"should_save": true,
|
| 2305 |
+
"should_training_stop": false
|
| 2306 |
+
},
|
| 2307 |
+
"attributes": {}
|
| 2308 |
+
}
|
| 2309 |
+
},
|
| 2310 |
+
"total_flos": 0.0,
|
| 2311 |
+
"train_batch_size": 1,
|
| 2312 |
+
"trial_name": null,
|
| 2313 |
+
"trial_params": null
|
| 2314 |
+
}
|
checkpoint-60/vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-64/README.md
ADDED
|
@@ -0,0 +1,210 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: /cache/models/Qwen--Qwen2.5-3B-Instruct
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- axolotl
|
| 7 |
+
- base_model:adapter:/cache/models/Qwen--Qwen2.5-3B-Instruct
|
| 8 |
+
- grpo
|
| 9 |
+
- lora
|
| 10 |
+
- transformers
|
| 11 |
+
- trl
|
| 12 |
+
---
|
| 13 |
+
|
| 14 |
+
# Model Card for Model ID
|
| 15 |
+
|
| 16 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
## Model Details
|
| 21 |
+
|
| 22 |
+
### Model Description
|
| 23 |
+
|
| 24 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 25 |
+
|
| 26 |
+
|
| 27 |
+
|
| 28 |
+
- **Developed by:** [More Information Needed]
|
| 29 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 30 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 31 |
+
- **Model type:** [More Information Needed]
|
| 32 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 33 |
+
- **License:** [More Information Needed]
|
| 34 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
### Model Sources [optional]
|
| 37 |
+
|
| 38 |
+
<!-- Provide the basic links for the model. -->
|
| 39 |
+
|
| 40 |
+
- **Repository:** [More Information Needed]
|
| 41 |
+
- **Paper [optional]:** [More Information Needed]
|
| 42 |
+
- **Demo [optional]:** [More Information Needed]
|
| 43 |
+
|
| 44 |
+
## Uses
|
| 45 |
+
|
| 46 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 47 |
+
|
| 48 |
+
### Direct Use
|
| 49 |
+
|
| 50 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 51 |
+
|
| 52 |
+
[More Information Needed]
|
| 53 |
+
|
| 54 |
+
### Downstream Use [optional]
|
| 55 |
+
|
| 56 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 57 |
+
|
| 58 |
+
[More Information Needed]
|
| 59 |
+
|
| 60 |
+
### Out-of-Scope Use
|
| 61 |
+
|
| 62 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 63 |
+
|
| 64 |
+
[More Information Needed]
|
| 65 |
+
|
| 66 |
+
## Bias, Risks, and Limitations
|
| 67 |
+
|
| 68 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 69 |
+
|
| 70 |
+
[More Information Needed]
|
| 71 |
+
|
| 72 |
+
### Recommendations
|
| 73 |
+
|
| 74 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 75 |
+
|
| 76 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 77 |
+
|
| 78 |
+
## How to Get Started with the Model
|
| 79 |
+
|
| 80 |
+
Use the code below to get started with the model.
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
## Training Details
|
| 85 |
+
|
| 86 |
+
### Training Data
|
| 87 |
+
|
| 88 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
### Training Procedure
|
| 93 |
+
|
| 94 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 95 |
+
|
| 96 |
+
#### Preprocessing [optional]
|
| 97 |
+
|
| 98 |
+
[More Information Needed]
|
| 99 |
+
|
| 100 |
+
|
| 101 |
+
#### Training Hyperparameters
|
| 102 |
+
|
| 103 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 104 |
+
|
| 105 |
+
#### Speeds, Sizes, Times [optional]
|
| 106 |
+
|
| 107 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 108 |
+
|
| 109 |
+
[More Information Needed]
|
| 110 |
+
|
| 111 |
+
## Evaluation
|
| 112 |
+
|
| 113 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 114 |
+
|
| 115 |
+
### Testing Data, Factors & Metrics
|
| 116 |
+
|
| 117 |
+
#### Testing Data
|
| 118 |
+
|
| 119 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 120 |
+
|
| 121 |
+
[More Information Needed]
|
| 122 |
+
|
| 123 |
+
#### Factors
|
| 124 |
+
|
| 125 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 126 |
+
|
| 127 |
+
[More Information Needed]
|
| 128 |
+
|
| 129 |
+
#### Metrics
|
| 130 |
+
|
| 131 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 132 |
+
|
| 133 |
+
[More Information Needed]
|
| 134 |
+
|
| 135 |
+
### Results
|
| 136 |
+
|
| 137 |
+
[More Information Needed]
|
| 138 |
+
|
| 139 |
+
#### Summary
|
| 140 |
+
|
| 141 |
+
|
| 142 |
+
|
| 143 |
+
## Model Examination [optional]
|
| 144 |
+
|
| 145 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 146 |
+
|
| 147 |
+
[More Information Needed]
|
| 148 |
+
|
| 149 |
+
## Environmental Impact
|
| 150 |
+
|
| 151 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 152 |
+
|
| 153 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 154 |
+
|
| 155 |
+
- **Hardware Type:** [More Information Needed]
|
| 156 |
+
- **Hours used:** [More Information Needed]
|
| 157 |
+
- **Cloud Provider:** [More Information Needed]
|
| 158 |
+
- **Compute Region:** [More Information Needed]
|
| 159 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 160 |
+
|
| 161 |
+
## Technical Specifications [optional]
|
| 162 |
+
|
| 163 |
+
### Model Architecture and Objective
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
### Compute Infrastructure
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
#### Hardware
|
| 172 |
+
|
| 173 |
+
[More Information Needed]
|
| 174 |
+
|
| 175 |
+
#### Software
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
## Citation [optional]
|
| 180 |
+
|
| 181 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 182 |
+
|
| 183 |
+
**BibTeX:**
|
| 184 |
+
|
| 185 |
+
[More Information Needed]
|
| 186 |
+
|
| 187 |
+
**APA:**
|
| 188 |
+
|
| 189 |
+
[More Information Needed]
|
| 190 |
+
|
| 191 |
+
## Glossary [optional]
|
| 192 |
+
|
| 193 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## More Information [optional]
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
|
| 201 |
+
## Model Card Authors [optional]
|
| 202 |
+
|
| 203 |
+
[More Information Needed]
|
| 204 |
+
|
| 205 |
+
## Model Card Contact
|
| 206 |
+
|
| 207 |
+
[More Information Needed]
|
| 208 |
+
### Framework versions
|
| 209 |
+
|
| 210 |
+
- PEFT 0.18.1
|
checkpoint-64/adapter_config.json
ADDED
|
@@ -0,0 +1,46 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
+
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "/cache/models/Qwen--Qwen2.5-3B-Instruct",
|
| 7 |
+
"bias": "none",
|
| 8 |
+
"corda_config": null,
|
| 9 |
+
"ensure_weight_tying": false,
|
| 10 |
+
"eva_config": null,
|
| 11 |
+
"exclude_modules": null,
|
| 12 |
+
"fan_in_fan_out": null,
|
| 13 |
+
"inference_mode": true,
|
| 14 |
+
"init_lora_weights": true,
|
| 15 |
+
"layer_replication": null,
|
| 16 |
+
"layers_pattern": null,
|
| 17 |
+
"layers_to_transform": null,
|
| 18 |
+
"loftq_config": {},
|
| 19 |
+
"lora_alpha": 32,
|
| 20 |
+
"lora_bias": false,
|
| 21 |
+
"lora_dropout": 0.0,
|
| 22 |
+
"megatron_config": null,
|
| 23 |
+
"megatron_core": "megatron.core",
|
| 24 |
+
"modules_to_save": null,
|
| 25 |
+
"peft_type": "LORA",
|
| 26 |
+
"peft_version": "0.18.1",
|
| 27 |
+
"qalora_group_size": 16,
|
| 28 |
+
"r": 16,
|
| 29 |
+
"rank_pattern": {},
|
| 30 |
+
"revision": null,
|
| 31 |
+
"target_modules": [
|
| 32 |
+
"q_proj",
|
| 33 |
+
"v_proj",
|
| 34 |
+
"k_proj",
|
| 35 |
+
"down_proj",
|
| 36 |
+
"o_proj",
|
| 37 |
+
"gate_proj",
|
| 38 |
+
"up_proj"
|
| 39 |
+
],
|
| 40 |
+
"target_parameters": [],
|
| 41 |
+
"task_type": "CAUSAL_LM",
|
| 42 |
+
"trainable_token_indices": null,
|
| 43 |
+
"use_dora": false,
|
| 44 |
+
"use_qalora": false,
|
| 45 |
+
"use_rslora": false
|
| 46 |
+
}
|
checkpoint-64/added_tokens.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"</tool_call>": 151658,
|
| 3 |
+
"<tool_call>": 151657,
|
| 4 |
+
"<|box_end|>": 151649,
|
| 5 |
+
"<|box_start|>": 151648,
|
| 6 |
+
"<|endoftext|>": 151643,
|
| 7 |
+
"<|file_sep|>": 151664,
|
| 8 |
+
"<|fim_middle|>": 151660,
|
| 9 |
+
"<|fim_pad|>": 151662,
|
| 10 |
+
"<|fim_prefix|>": 151659,
|
| 11 |
+
"<|fim_suffix|>": 151661,
|
| 12 |
+
"<|im_end|>": 151645,
|
| 13 |
+
"<|im_start|>": 151644,
|
| 14 |
+
"<|image_pad|>": 151655,
|
| 15 |
+
"<|object_ref_end|>": 151647,
|
| 16 |
+
"<|object_ref_start|>": 151646,
|
| 17 |
+
"<|quad_end|>": 151651,
|
| 18 |
+
"<|quad_start|>": 151650,
|
| 19 |
+
"<|repo_name|>": 151663,
|
| 20 |
+
"<|video_pad|>": 151656,
|
| 21 |
+
"<|vision_end|>": 151653,
|
| 22 |
+
"<|vision_pad|>": 151654,
|
| 23 |
+
"<|vision_start|>": 151652
|
| 24 |
+
}
|
checkpoint-64/chat_template.jinja
ADDED
|
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>
|
| 2 |
+
|
| 3 |
+
'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>
|
| 4 |
+
|
| 5 |
+
' }}{% endif %}
|
checkpoint-64/merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-64/ref/adapter_config.json
ADDED
|
@@ -0,0 +1,46 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
+
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "/cache/models/Qwen--Qwen2.5-3B-Instruct",
|
| 7 |
+
"bias": "none",
|
| 8 |
+
"corda_config": null,
|
| 9 |
+
"ensure_weight_tying": false,
|
| 10 |
+
"eva_config": null,
|
| 11 |
+
"exclude_modules": null,
|
| 12 |
+
"fan_in_fan_out": null,
|
| 13 |
+
"inference_mode": true,
|
| 14 |
+
"init_lora_weights": true,
|
| 15 |
+
"layer_replication": null,
|
| 16 |
+
"layers_pattern": null,
|
| 17 |
+
"layers_to_transform": null,
|
| 18 |
+
"loftq_config": {},
|
| 19 |
+
"lora_alpha": 32,
|
| 20 |
+
"lora_bias": false,
|
| 21 |
+
"lora_dropout": 0.0,
|
| 22 |
+
"megatron_config": null,
|
| 23 |
+
"megatron_core": "megatron.core",
|
| 24 |
+
"modules_to_save": null,
|
| 25 |
+
"peft_type": "LORA",
|
| 26 |
+
"peft_version": "0.18.1",
|
| 27 |
+
"qalora_group_size": 16,
|
| 28 |
+
"r": 16,
|
| 29 |
+
"rank_pattern": {},
|
| 30 |
+
"revision": null,
|
| 31 |
+
"target_modules": [
|
| 32 |
+
"q_proj",
|
| 33 |
+
"v_proj",
|
| 34 |
+
"k_proj",
|
| 35 |
+
"down_proj",
|
| 36 |
+
"o_proj",
|
| 37 |
+
"gate_proj",
|
| 38 |
+
"up_proj"
|
| 39 |
+
],
|
| 40 |
+
"target_parameters": [],
|
| 41 |
+
"task_type": "CAUSAL_LM",
|
| 42 |
+
"trainable_token_indices": null,
|
| 43 |
+
"use_dora": false,
|
| 44 |
+
"use_qalora": false,
|
| 45 |
+
"use_rslora": false
|
| 46 |
+
}
|
checkpoint-64/special_tokens_map.json
ADDED
|
@@ -0,0 +1,38 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<|im_start|>",
|
| 4 |
+
"<|im_end|>",
|
| 5 |
+
"<|object_ref_start|>",
|
| 6 |
+
"<|object_ref_end|>",
|
| 7 |
+
"<|box_start|>",
|
| 8 |
+
"<|box_end|>",
|
| 9 |
+
"<|quad_start|>",
|
| 10 |
+
"<|quad_end|>",
|
| 11 |
+
"<|vision_start|>",
|
| 12 |
+
"<|vision_end|>",
|
| 13 |
+
"<|vision_pad|>",
|
| 14 |
+
"<|image_pad|>",
|
| 15 |
+
"<|video_pad|>"
|
| 16 |
+
],
|
| 17 |
+
"bos_token": {
|
| 18 |
+
"content": "<|im_end|>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
},
|
| 24 |
+
"eos_token": {
|
| 25 |
+
"content": "<|im_end|>",
|
| 26 |
+
"lstrip": false,
|
| 27 |
+
"normalized": false,
|
| 28 |
+
"rstrip": false,
|
| 29 |
+
"single_word": false
|
| 30 |
+
},
|
| 31 |
+
"pad_token": {
|
| 32 |
+
"content": "<|endoftext|>",
|
| 33 |
+
"lstrip": false,
|
| 34 |
+
"normalized": false,
|
| 35 |
+
"rstrip": false,
|
| 36 |
+
"single_word": false
|
| 37 |
+
}
|
| 38 |
+
}
|
checkpoint-64/tokenizer_config.json
ADDED
|
@@ -0,0 +1,207 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": false,
|
| 3 |
+
"add_prefix_space": false,
|
| 4 |
+
"added_tokens_decoder": {
|
| 5 |
+
"151643": {
|
| 6 |
+
"content": "<|endoftext|>",
|
| 7 |
+
"lstrip": false,
|
| 8 |
+
"normalized": false,
|
| 9 |
+
"rstrip": false,
|
| 10 |
+
"single_word": false,
|
| 11 |
+
"special": true
|
| 12 |
+
},
|
| 13 |
+
"151644": {
|
| 14 |
+
"content": "<|im_start|>",
|
| 15 |
+
"lstrip": false,
|
| 16 |
+
"normalized": false,
|
| 17 |
+
"rstrip": false,
|
| 18 |
+
"single_word": false,
|
| 19 |
+
"special": true
|
| 20 |
+
},
|
| 21 |
+
"151645": {
|
| 22 |
+
"content": "<|im_end|>",
|
| 23 |
+
"lstrip": false,
|
| 24 |
+
"normalized": false,
|
| 25 |
+
"rstrip": false,
|
| 26 |
+
"single_word": false,
|
| 27 |
+
"special": true
|
| 28 |
+
},
|
| 29 |
+
"151646": {
|
| 30 |
+
"content": "<|object_ref_start|>",
|
| 31 |
+
"lstrip": false,
|
| 32 |
+
"normalized": false,
|
| 33 |
+
"rstrip": false,
|
| 34 |
+
"single_word": false,
|
| 35 |
+
"special": true
|
| 36 |
+
},
|
| 37 |
+
"151647": {
|
| 38 |
+
"content": "<|object_ref_end|>",
|
| 39 |
+
"lstrip": false,
|
| 40 |
+
"normalized": false,
|
| 41 |
+
"rstrip": false,
|
| 42 |
+
"single_word": false,
|
| 43 |
+
"special": true
|
| 44 |
+
},
|
| 45 |
+
"151648": {
|
| 46 |
+
"content": "<|box_start|>",
|
| 47 |
+
"lstrip": false,
|
| 48 |
+
"normalized": false,
|
| 49 |
+
"rstrip": false,
|
| 50 |
+
"single_word": false,
|
| 51 |
+
"special": true
|
| 52 |
+
},
|
| 53 |
+
"151649": {
|
| 54 |
+
"content": "<|box_end|>",
|
| 55 |
+
"lstrip": false,
|
| 56 |
+
"normalized": false,
|
| 57 |
+
"rstrip": false,
|
| 58 |
+
"single_word": false,
|
| 59 |
+
"special": true
|
| 60 |
+
},
|
| 61 |
+
"151650": {
|
| 62 |
+
"content": "<|quad_start|>",
|
| 63 |
+
"lstrip": false,
|
| 64 |
+
"normalized": false,
|
| 65 |
+
"rstrip": false,
|
| 66 |
+
"single_word": false,
|
| 67 |
+
"special": true
|
| 68 |
+
},
|
| 69 |
+
"151651": {
|
| 70 |
+
"content": "<|quad_end|>",
|
| 71 |
+
"lstrip": false,
|
| 72 |
+
"normalized": false,
|
| 73 |
+
"rstrip": false,
|
| 74 |
+
"single_word": false,
|
| 75 |
+
"special": true
|
| 76 |
+
},
|
| 77 |
+
"151652": {
|
| 78 |
+
"content": "<|vision_start|>",
|
| 79 |
+
"lstrip": false,
|
| 80 |
+
"normalized": false,
|
| 81 |
+
"rstrip": false,
|
| 82 |
+
"single_word": false,
|
| 83 |
+
"special": true
|
| 84 |
+
},
|
| 85 |
+
"151653": {
|
| 86 |
+
"content": "<|vision_end|>",
|
| 87 |
+
"lstrip": false,
|
| 88 |
+
"normalized": false,
|
| 89 |
+
"rstrip": false,
|
| 90 |
+
"single_word": false,
|
| 91 |
+
"special": true
|
| 92 |
+
},
|
| 93 |
+
"151654": {
|
| 94 |
+
"content": "<|vision_pad|>",
|
| 95 |
+
"lstrip": false,
|
| 96 |
+
"normalized": false,
|
| 97 |
+
"rstrip": false,
|
| 98 |
+
"single_word": false,
|
| 99 |
+
"special": true
|
| 100 |
+
},
|
| 101 |
+
"151655": {
|
| 102 |
+
"content": "<|image_pad|>",
|
| 103 |
+
"lstrip": false,
|
| 104 |
+
"normalized": false,
|
| 105 |
+
"rstrip": false,
|
| 106 |
+
"single_word": false,
|
| 107 |
+
"special": true
|
| 108 |
+
},
|
| 109 |
+
"151656": {
|
| 110 |
+
"content": "<|video_pad|>",
|
| 111 |
+
"lstrip": false,
|
| 112 |
+
"normalized": false,
|
| 113 |
+
"rstrip": false,
|
| 114 |
+
"single_word": false,
|
| 115 |
+
"special": true
|
| 116 |
+
},
|
| 117 |
+
"151657": {
|
| 118 |
+
"content": "<tool_call>",
|
| 119 |
+
"lstrip": false,
|
| 120 |
+
"normalized": false,
|
| 121 |
+
"rstrip": false,
|
| 122 |
+
"single_word": false,
|
| 123 |
+
"special": false
|
| 124 |
+
},
|
| 125 |
+
"151658": {
|
| 126 |
+
"content": "</tool_call>",
|
| 127 |
+
"lstrip": false,
|
| 128 |
+
"normalized": false,
|
| 129 |
+
"rstrip": false,
|
| 130 |
+
"single_word": false,
|
| 131 |
+
"special": false
|
| 132 |
+
},
|
| 133 |
+
"151659": {
|
| 134 |
+
"content": "<|fim_prefix|>",
|
| 135 |
+
"lstrip": false,
|
| 136 |
+
"normalized": false,
|
| 137 |
+
"rstrip": false,
|
| 138 |
+
"single_word": false,
|
| 139 |
+
"special": false
|
| 140 |
+
},
|
| 141 |
+
"151660": {
|
| 142 |
+
"content": "<|fim_middle|>",
|
| 143 |
+
"lstrip": false,
|
| 144 |
+
"normalized": false,
|
| 145 |
+
"rstrip": false,
|
| 146 |
+
"single_word": false,
|
| 147 |
+
"special": false
|
| 148 |
+
},
|
| 149 |
+
"151661": {
|
| 150 |
+
"content": "<|fim_suffix|>",
|
| 151 |
+
"lstrip": false,
|
| 152 |
+
"normalized": false,
|
| 153 |
+
"rstrip": false,
|
| 154 |
+
"single_word": false,
|
| 155 |
+
"special": false
|
| 156 |
+
},
|
| 157 |
+
"151662": {
|
| 158 |
+
"content": "<|fim_pad|>",
|
| 159 |
+
"lstrip": false,
|
| 160 |
+
"normalized": false,
|
| 161 |
+
"rstrip": false,
|
| 162 |
+
"single_word": false,
|
| 163 |
+
"special": false
|
| 164 |
+
},
|
| 165 |
+
"151663": {
|
| 166 |
+
"content": "<|repo_name|>",
|
| 167 |
+
"lstrip": false,
|
| 168 |
+
"normalized": false,
|
| 169 |
+
"rstrip": false,
|
| 170 |
+
"single_word": false,
|
| 171 |
+
"special": false
|
| 172 |
+
},
|
| 173 |
+
"151664": {
|
| 174 |
+
"content": "<|file_sep|>",
|
| 175 |
+
"lstrip": false,
|
| 176 |
+
"normalized": false,
|
| 177 |
+
"rstrip": false,
|
| 178 |
+
"single_word": false,
|
| 179 |
+
"special": false
|
| 180 |
+
}
|
| 181 |
+
},
|
| 182 |
+
"additional_special_tokens": [
|
| 183 |
+
"<|im_start|>",
|
| 184 |
+
"<|im_end|>",
|
| 185 |
+
"<|object_ref_start|>",
|
| 186 |
+
"<|object_ref_end|>",
|
| 187 |
+
"<|box_start|>",
|
| 188 |
+
"<|box_end|>",
|
| 189 |
+
"<|quad_start|>",
|
| 190 |
+
"<|quad_end|>",
|
| 191 |
+
"<|vision_start|>",
|
| 192 |
+
"<|vision_end|>",
|
| 193 |
+
"<|vision_pad|>",
|
| 194 |
+
"<|image_pad|>",
|
| 195 |
+
"<|video_pad|>"
|
| 196 |
+
],
|
| 197 |
+
"bos_token": "<|im_end|>",
|
| 198 |
+
"clean_up_tokenization_spaces": false,
|
| 199 |
+
"eos_token": "<|im_end|>",
|
| 200 |
+
"errors": "replace",
|
| 201 |
+
"extra_special_tokens": {},
|
| 202 |
+
"model_max_length": 131072,
|
| 203 |
+
"pad_token": "<|endoftext|>",
|
| 204 |
+
"split_special_tokens": false,
|
| 205 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 206 |
+
"unk_token": null
|
| 207 |
+
}
|
checkpoint-64/trainer_state.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-64/vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
config.json
ADDED
|
@@ -0,0 +1,66 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen2ForCausalLM"
|
| 4 |
+
],
|
| 5 |
+
"attention_dropout": 0.0,
|
| 6 |
+
"bos_token_id": 151645,
|
| 7 |
+
"dtype": "bfloat16",
|
| 8 |
+
"eos_token_id": 151645,
|
| 9 |
+
"hidden_act": "silu",
|
| 10 |
+
"hidden_size": 2048,
|
| 11 |
+
"initializer_range": 0.02,
|
| 12 |
+
"intermediate_size": 11008,
|
| 13 |
+
"layer_types": [
|
| 14 |
+
"full_attention",
|
| 15 |
+
"full_attention",
|
| 16 |
+
"full_attention",
|
| 17 |
+
"full_attention",
|
| 18 |
+
"full_attention",
|
| 19 |
+
"full_attention",
|
| 20 |
+
"full_attention",
|
| 21 |
+
"full_attention",
|
| 22 |
+
"full_attention",
|
| 23 |
+
"full_attention",
|
| 24 |
+
"full_attention",
|
| 25 |
+
"full_attention",
|
| 26 |
+
"full_attention",
|
| 27 |
+
"full_attention",
|
| 28 |
+
"full_attention",
|
| 29 |
+
"full_attention",
|
| 30 |
+
"full_attention",
|
| 31 |
+
"full_attention",
|
| 32 |
+
"full_attention",
|
| 33 |
+
"full_attention",
|
| 34 |
+
"full_attention",
|
| 35 |
+
"full_attention",
|
| 36 |
+
"full_attention",
|
| 37 |
+
"full_attention",
|
| 38 |
+
"full_attention",
|
| 39 |
+
"full_attention",
|
| 40 |
+
"full_attention",
|
| 41 |
+
"full_attention",
|
| 42 |
+
"full_attention",
|
| 43 |
+
"full_attention",
|
| 44 |
+
"full_attention",
|
| 45 |
+
"full_attention",
|
| 46 |
+
"full_attention",
|
| 47 |
+
"full_attention",
|
| 48 |
+
"full_attention",
|
| 49 |
+
"full_attention"
|
| 50 |
+
],
|
| 51 |
+
"max_position_embeddings": 32768,
|
| 52 |
+
"max_window_layers": 70,
|
| 53 |
+
"model_type": "qwen2",
|
| 54 |
+
"num_attention_heads": 16,
|
| 55 |
+
"num_hidden_layers": 36,
|
| 56 |
+
"num_key_value_heads": 2,
|
| 57 |
+
"rms_norm_eps": 1e-06,
|
| 58 |
+
"rope_scaling": null,
|
| 59 |
+
"rope_theta": 1000000.0,
|
| 60 |
+
"sliding_window": null,
|
| 61 |
+
"tie_word_embeddings": true,
|
| 62 |
+
"transformers_version": "4.57.6",
|
| 63 |
+
"use_cache": false,
|
| 64 |
+
"use_sliding_window": false,
|
| 65 |
+
"vocab_size": 151936
|
| 66 |
+
}
|
debug.log
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
ref/adapter_config.json
ADDED
|
@@ -0,0 +1,46 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
+
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "/cache/models/Qwen--Qwen2.5-3B-Instruct",
|
| 7 |
+
"bias": "none",
|
| 8 |
+
"corda_config": null,
|
| 9 |
+
"ensure_weight_tying": false,
|
| 10 |
+
"eva_config": null,
|
| 11 |
+
"exclude_modules": null,
|
| 12 |
+
"fan_in_fan_out": null,
|
| 13 |
+
"inference_mode": true,
|
| 14 |
+
"init_lora_weights": true,
|
| 15 |
+
"layer_replication": null,
|
| 16 |
+
"layers_pattern": null,
|
| 17 |
+
"layers_to_transform": null,
|
| 18 |
+
"loftq_config": {},
|
| 19 |
+
"lora_alpha": 32,
|
| 20 |
+
"lora_bias": false,
|
| 21 |
+
"lora_dropout": 0.0,
|
| 22 |
+
"megatron_config": null,
|
| 23 |
+
"megatron_core": "megatron.core",
|
| 24 |
+
"modules_to_save": null,
|
| 25 |
+
"peft_type": "LORA",
|
| 26 |
+
"peft_version": "0.18.1",
|
| 27 |
+
"qalora_group_size": 16,
|
| 28 |
+
"r": 16,
|
| 29 |
+
"rank_pattern": {},
|
| 30 |
+
"revision": null,
|
| 31 |
+
"target_modules": [
|
| 32 |
+
"q_proj",
|
| 33 |
+
"v_proj",
|
| 34 |
+
"k_proj",
|
| 35 |
+
"down_proj",
|
| 36 |
+
"o_proj",
|
| 37 |
+
"gate_proj",
|
| 38 |
+
"up_proj"
|
| 39 |
+
],
|
| 40 |
+
"target_parameters": [],
|
| 41 |
+
"task_type": "CAUSAL_LM",
|
| 42 |
+
"trainable_token_indices": null,
|
| 43 |
+
"use_dora": false,
|
| 44 |
+
"use_qalora": false,
|
| 45 |
+
"use_rslora": false
|
| 46 |
+
}
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,38 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<|im_start|>",
|
| 4 |
+
"<|im_end|>",
|
| 5 |
+
"<|object_ref_start|>",
|
| 6 |
+
"<|object_ref_end|>",
|
| 7 |
+
"<|box_start|>",
|
| 8 |
+
"<|box_end|>",
|
| 9 |
+
"<|quad_start|>",
|
| 10 |
+
"<|quad_end|>",
|
| 11 |
+
"<|vision_start|>",
|
| 12 |
+
"<|vision_end|>",
|
| 13 |
+
"<|vision_pad|>",
|
| 14 |
+
"<|image_pad|>",
|
| 15 |
+
"<|video_pad|>"
|
| 16 |
+
],
|
| 17 |
+
"bos_token": {
|
| 18 |
+
"content": "<|im_end|>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
},
|
| 24 |
+
"eos_token": {
|
| 25 |
+
"content": "<|im_end|>",
|
| 26 |
+
"lstrip": false,
|
| 27 |
+
"normalized": false,
|
| 28 |
+
"rstrip": false,
|
| 29 |
+
"single_word": false
|
| 30 |
+
},
|
| 31 |
+
"pad_token": {
|
| 32 |
+
"content": "<|endoftext|>",
|
| 33 |
+
"lstrip": false,
|
| 34 |
+
"normalized": false,
|
| 35 |
+
"rstrip": false,
|
| 36 |
+
"single_word": false
|
| 37 |
+
}
|
| 38 |
+
}
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,207 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": false,
|
| 3 |
+
"add_prefix_space": false,
|
| 4 |
+
"added_tokens_decoder": {
|
| 5 |
+
"151643": {
|
| 6 |
+
"content": "<|endoftext|>",
|
| 7 |
+
"lstrip": false,
|
| 8 |
+
"normalized": false,
|
| 9 |
+
"rstrip": false,
|
| 10 |
+
"single_word": false,
|
| 11 |
+
"special": true
|
| 12 |
+
},
|
| 13 |
+
"151644": {
|
| 14 |
+
"content": "<|im_start|>",
|
| 15 |
+
"lstrip": false,
|
| 16 |
+
"normalized": false,
|
| 17 |
+
"rstrip": false,
|
| 18 |
+
"single_word": false,
|
| 19 |
+
"special": true
|
| 20 |
+
},
|
| 21 |
+
"151645": {
|
| 22 |
+
"content": "<|im_end|>",
|
| 23 |
+
"lstrip": false,
|
| 24 |
+
"normalized": false,
|
| 25 |
+
"rstrip": false,
|
| 26 |
+
"single_word": false,
|
| 27 |
+
"special": true
|
| 28 |
+
},
|
| 29 |
+
"151646": {
|
| 30 |
+
"content": "<|object_ref_start|>",
|
| 31 |
+
"lstrip": false,
|
| 32 |
+
"normalized": false,
|
| 33 |
+
"rstrip": false,
|
| 34 |
+
"single_word": false,
|
| 35 |
+
"special": true
|
| 36 |
+
},
|
| 37 |
+
"151647": {
|
| 38 |
+
"content": "<|object_ref_end|>",
|
| 39 |
+
"lstrip": false,
|
| 40 |
+
"normalized": false,
|
| 41 |
+
"rstrip": false,
|
| 42 |
+
"single_word": false,
|
| 43 |
+
"special": true
|
| 44 |
+
},
|
| 45 |
+
"151648": {
|
| 46 |
+
"content": "<|box_start|>",
|
| 47 |
+
"lstrip": false,
|
| 48 |
+
"normalized": false,
|
| 49 |
+
"rstrip": false,
|
| 50 |
+
"single_word": false,
|
| 51 |
+
"special": true
|
| 52 |
+
},
|
| 53 |
+
"151649": {
|
| 54 |
+
"content": "<|box_end|>",
|
| 55 |
+
"lstrip": false,
|
| 56 |
+
"normalized": false,
|
| 57 |
+
"rstrip": false,
|
| 58 |
+
"single_word": false,
|
| 59 |
+
"special": true
|
| 60 |
+
},
|
| 61 |
+
"151650": {
|
| 62 |
+
"content": "<|quad_start|>",
|
| 63 |
+
"lstrip": false,
|
| 64 |
+
"normalized": false,
|
| 65 |
+
"rstrip": false,
|
| 66 |
+
"single_word": false,
|
| 67 |
+
"special": true
|
| 68 |
+
},
|
| 69 |
+
"151651": {
|
| 70 |
+
"content": "<|quad_end|>",
|
| 71 |
+
"lstrip": false,
|
| 72 |
+
"normalized": false,
|
| 73 |
+
"rstrip": false,
|
| 74 |
+
"single_word": false,
|
| 75 |
+
"special": true
|
| 76 |
+
},
|
| 77 |
+
"151652": {
|
| 78 |
+
"content": "<|vision_start|>",
|
| 79 |
+
"lstrip": false,
|
| 80 |
+
"normalized": false,
|
| 81 |
+
"rstrip": false,
|
| 82 |
+
"single_word": false,
|
| 83 |
+
"special": true
|
| 84 |
+
},
|
| 85 |
+
"151653": {
|
| 86 |
+
"content": "<|vision_end|>",
|
| 87 |
+
"lstrip": false,
|
| 88 |
+
"normalized": false,
|
| 89 |
+
"rstrip": false,
|
| 90 |
+
"single_word": false,
|
| 91 |
+
"special": true
|
| 92 |
+
},
|
| 93 |
+
"151654": {
|
| 94 |
+
"content": "<|vision_pad|>",
|
| 95 |
+
"lstrip": false,
|
| 96 |
+
"normalized": false,
|
| 97 |
+
"rstrip": false,
|
| 98 |
+
"single_word": false,
|
| 99 |
+
"special": true
|
| 100 |
+
},
|
| 101 |
+
"151655": {
|
| 102 |
+
"content": "<|image_pad|>",
|
| 103 |
+
"lstrip": false,
|
| 104 |
+
"normalized": false,
|
| 105 |
+
"rstrip": false,
|
| 106 |
+
"single_word": false,
|
| 107 |
+
"special": true
|
| 108 |
+
},
|
| 109 |
+
"151656": {
|
| 110 |
+
"content": "<|video_pad|>",
|
| 111 |
+
"lstrip": false,
|
| 112 |
+
"normalized": false,
|
| 113 |
+
"rstrip": false,
|
| 114 |
+
"single_word": false,
|
| 115 |
+
"special": true
|
| 116 |
+
},
|
| 117 |
+
"151657": {
|
| 118 |
+
"content": "<tool_call>",
|
| 119 |
+
"lstrip": false,
|
| 120 |
+
"normalized": false,
|
| 121 |
+
"rstrip": false,
|
| 122 |
+
"single_word": false,
|
| 123 |
+
"special": false
|
| 124 |
+
},
|
| 125 |
+
"151658": {
|
| 126 |
+
"content": "</tool_call>",
|
| 127 |
+
"lstrip": false,
|
| 128 |
+
"normalized": false,
|
| 129 |
+
"rstrip": false,
|
| 130 |
+
"single_word": false,
|
| 131 |
+
"special": false
|
| 132 |
+
},
|
| 133 |
+
"151659": {
|
| 134 |
+
"content": "<|fim_prefix|>",
|
| 135 |
+
"lstrip": false,
|
| 136 |
+
"normalized": false,
|
| 137 |
+
"rstrip": false,
|
| 138 |
+
"single_word": false,
|
| 139 |
+
"special": false
|
| 140 |
+
},
|
| 141 |
+
"151660": {
|
| 142 |
+
"content": "<|fim_middle|>",
|
| 143 |
+
"lstrip": false,
|
| 144 |
+
"normalized": false,
|
| 145 |
+
"rstrip": false,
|
| 146 |
+
"single_word": false,
|
| 147 |
+
"special": false
|
| 148 |
+
},
|
| 149 |
+
"151661": {
|
| 150 |
+
"content": "<|fim_suffix|>",
|
| 151 |
+
"lstrip": false,
|
| 152 |
+
"normalized": false,
|
| 153 |
+
"rstrip": false,
|
| 154 |
+
"single_word": false,
|
| 155 |
+
"special": false
|
| 156 |
+
},
|
| 157 |
+
"151662": {
|
| 158 |
+
"content": "<|fim_pad|>",
|
| 159 |
+
"lstrip": false,
|
| 160 |
+
"normalized": false,
|
| 161 |
+
"rstrip": false,
|
| 162 |
+
"single_word": false,
|
| 163 |
+
"special": false
|
| 164 |
+
},
|
| 165 |
+
"151663": {
|
| 166 |
+
"content": "<|repo_name|>",
|
| 167 |
+
"lstrip": false,
|
| 168 |
+
"normalized": false,
|
| 169 |
+
"rstrip": false,
|
| 170 |
+
"single_word": false,
|
| 171 |
+
"special": false
|
| 172 |
+
},
|
| 173 |
+
"151664": {
|
| 174 |
+
"content": "<|file_sep|>",
|
| 175 |
+
"lstrip": false,
|
| 176 |
+
"normalized": false,
|
| 177 |
+
"rstrip": false,
|
| 178 |
+
"single_word": false,
|
| 179 |
+
"special": false
|
| 180 |
+
}
|
| 181 |
+
},
|
| 182 |
+
"additional_special_tokens": [
|
| 183 |
+
"<|im_start|>",
|
| 184 |
+
"<|im_end|>",
|
| 185 |
+
"<|object_ref_start|>",
|
| 186 |
+
"<|object_ref_end|>",
|
| 187 |
+
"<|box_start|>",
|
| 188 |
+
"<|box_end|>",
|
| 189 |
+
"<|quad_start|>",
|
| 190 |
+
"<|quad_end|>",
|
| 191 |
+
"<|vision_start|>",
|
| 192 |
+
"<|vision_end|>",
|
| 193 |
+
"<|vision_pad|>",
|
| 194 |
+
"<|image_pad|>",
|
| 195 |
+
"<|video_pad|>"
|
| 196 |
+
],
|
| 197 |
+
"bos_token": "<|im_end|>",
|
| 198 |
+
"clean_up_tokenization_spaces": false,
|
| 199 |
+
"eos_token": "<|im_end|>",
|
| 200 |
+
"errors": "replace",
|
| 201 |
+
"extra_special_tokens": {},
|
| 202 |
+
"model_max_length": 131072,
|
| 203 |
+
"pad_token": "<|endoftext|>",
|
| 204 |
+
"split_special_tokens": false,
|
| 205 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 206 |
+
"unk_token": null
|
| 207 |
+
}
|
vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|