Upload folder using huggingface_hub
Browse filesThis view is limited to 50 files because it contains too many changes.
See raw diff
- .gitattributes +6 -0
- README.md +28 -0
- adapter_config.json +41 -0
- adapter_model.safetensors +3 -0
- added_tokens.json +16 -0
- chat_template.jinja +7 -0
- checkpoint-1737/README.md +209 -0
- checkpoint-1737/adapter_config.json +41 -0
- checkpoint-1737/adapter_model.safetensors +3 -0
- checkpoint-1737/added_tokens.json +16 -0
- checkpoint-1737/chat_template.jinja +7 -0
- checkpoint-1737/merges.txt +0 -0
- checkpoint-1737/optimizer.pt +3 -0
- checkpoint-1737/rng_state.pth +3 -0
- checkpoint-1737/scheduler.pt +3 -0
- checkpoint-1737/special_tokens_map.json +31 -0
- checkpoint-1737/tokenizer.json +3 -0
- checkpoint-1737/tokenizer_config.json +143 -0
- checkpoint-1737/trainer_state.json +386 -0
- checkpoint-1737/training_args.bin +3 -0
- checkpoint-1737/vocab.json +0 -0
- checkpoint-3474/README.md +209 -0
- checkpoint-3474/adapter_config.json +41 -0
- checkpoint-3474/adapter_model.safetensors +3 -0
- checkpoint-3474/added_tokens.json +16 -0
- checkpoint-3474/chat_template.jinja +7 -0
- checkpoint-3474/merges.txt +0 -0
- checkpoint-3474/optimizer.pt +3 -0
- checkpoint-3474/rng_state.pth +3 -0
- checkpoint-3474/scheduler.pt +3 -0
- checkpoint-3474/special_tokens_map.json +31 -0
- checkpoint-3474/tokenizer.json +3 -0
- checkpoint-3474/tokenizer_config.json +143 -0
- checkpoint-3474/trainer_state.json +748 -0
- checkpoint-3474/training_args.bin +3 -0
- checkpoint-3474/vocab.json +0 -0
- checkpoint-5211/README.md +209 -0
- checkpoint-5211/adapter_config.json +41 -0
- checkpoint-5211/adapter_model.safetensors +3 -0
- checkpoint-5211/added_tokens.json +16 -0
- checkpoint-5211/chat_template.jinja +7 -0
- checkpoint-5211/merges.txt +0 -0
- checkpoint-5211/optimizer.pt +3 -0
- checkpoint-5211/rng_state.pth +3 -0
- checkpoint-5211/scheduler.pt +3 -0
- checkpoint-5211/special_tokens_map.json +31 -0
- checkpoint-5211/tokenizer.json +3 -0
- checkpoint-5211/tokenizer_config.json +143 -0
- checkpoint-5211/trainer_state.json +1110 -0
- checkpoint-5211/training_args.bin +3 -0
.gitattributes
CHANGED
|
@@ -33,3 +33,9 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 36 |
+
checkpoint-1737/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 37 |
+
checkpoint-3474/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 38 |
+
checkpoint-5211/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 39 |
+
checkpoint-6948/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 40 |
+
checkpoint-8685/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 41 |
+
tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
README.md
ADDED
|
@@ -0,0 +1,28 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: Qwen/Qwen2-VL-2B-Instruct
|
| 3 |
+
library_name: peft
|
| 4 |
+
model_name: output
|
| 5 |
+
tags:
|
| 6 |
+
- adapter
|
| 7 |
+
- lora
|
| 8 |
+
- sft
|
| 9 |
+
- transformers
|
| 10 |
+
- trl
|
| 11 |
+
license: apache-2.0
|
| 12 |
+
pipeline_tag: text-generation
|
| 13 |
+
---
|
| 14 |
+
|
| 15 |
+
# Model Card for output
|
| 16 |
+
|
| 17 |
+
This model is a LoRA fine-tuned version of
|
| 18 |
+
[Qwen/Qwen2-VL-2B-Instruct](https://huggingface.co/Qwen/Qwen2-VL-2B-Instruct).
|
| 19 |
+
|
| 20 |
+
It has been trained using the TRL SFT pipeline.
|
| 21 |
+
|
| 22 |
+
## Quick start
|
| 23 |
+
|
| 24 |
+
```python
|
| 25 |
+
from transformers import pipeline
|
| 26 |
+
|
| 27 |
+
pipe = pipeline("text-generation", model="RetrO21/agrofinetune", device="cuda")
|
| 28 |
+
print(pipe("What is nitrogen deficiency?")[0]["generated_text"])
|
adapter_config.json
ADDED
|
@@ -0,0 +1,41 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
+
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "Qwen/Qwen2-VL-2B-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": false,
|
| 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": 16,
|
| 20 |
+
"lora_bias": false,
|
| 21 |
+
"lora_dropout": 0.1,
|
| 22 |
+
"megatron_config": null,
|
| 23 |
+
"megatron_core": "megatron.core",
|
| 24 |
+
"modules_to_save": null,
|
| 25 |
+
"peft_type": "LORA",
|
| 26 |
+
"peft_version": "0.18.0",
|
| 27 |
+
"qalora_group_size": 16,
|
| 28 |
+
"r": 8,
|
| 29 |
+
"rank_pattern": {},
|
| 30 |
+
"revision": null,
|
| 31 |
+
"target_modules": [
|
| 32 |
+
"q_proj",
|
| 33 |
+
"v_proj"
|
| 34 |
+
],
|
| 35 |
+
"target_parameters": null,
|
| 36 |
+
"task_type": "CAUSAL_LM",
|
| 37 |
+
"trainable_token_indices": null,
|
| 38 |
+
"use_dora": false,
|
| 39 |
+
"use_qalora": false,
|
| 40 |
+
"use_rslora": false
|
| 41 |
+
}
|
adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:76b5201211b5dac5150a2b3a87809a5671a1239a76fdfafed2618f15a157a612
|
| 3 |
+
size 4374520
|
added_tokens.json
ADDED
|
@@ -0,0 +1,16 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"<|box_end|>": 151649,
|
| 3 |
+
"<|box_start|>": 151648,
|
| 4 |
+
"<|endoftext|>": 151643,
|
| 5 |
+
"<|im_end|>": 151645,
|
| 6 |
+
"<|im_start|>": 151644,
|
| 7 |
+
"<|image_pad|>": 151655,
|
| 8 |
+
"<|object_ref_end|>": 151647,
|
| 9 |
+
"<|object_ref_start|>": 151646,
|
| 10 |
+
"<|quad_end|>": 151651,
|
| 11 |
+
"<|quad_start|>": 151650,
|
| 12 |
+
"<|video_pad|>": 151656,
|
| 13 |
+
"<|vision_end|>": 151653,
|
| 14 |
+
"<|vision_pad|>": 151654,
|
| 15 |
+
"<|vision_start|>": 151652
|
| 16 |
+
}
|
chat_template.jinja
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system
|
| 2 |
+
You are a helpful assistant.<|im_end|>
|
| 3 |
+
{% endif %}<|im_start|>{{ message['role'] }}
|
| 4 |
+
{% if message['content'] is string %}{{ message['content'] }}<|im_end|>
|
| 5 |
+
{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>
|
| 6 |
+
{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant
|
| 7 |
+
{% endif %}
|
checkpoint-1737/README.md
ADDED
|
@@ -0,0 +1,209 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: ''
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:Qwen/Qwen2-VL-2B-Instruct
|
| 7 |
+
- lora
|
| 8 |
+
- sft
|
| 9 |
+
- transformers
|
| 10 |
+
- trl
|
| 11 |
+
---
|
| 12 |
+
|
| 13 |
+
# Model Card for Model ID
|
| 14 |
+
|
| 15 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 16 |
+
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
## Model Details
|
| 20 |
+
|
| 21 |
+
### Model Description
|
| 22 |
+
|
| 23 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 24 |
+
|
| 25 |
+
|
| 26 |
+
|
| 27 |
+
- **Developed by:** [More Information Needed]
|
| 28 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 29 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 30 |
+
- **Model type:** [More Information Needed]
|
| 31 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 32 |
+
- **License:** [More Information Needed]
|
| 33 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 34 |
+
|
| 35 |
+
### Model Sources [optional]
|
| 36 |
+
|
| 37 |
+
<!-- Provide the basic links for the model. -->
|
| 38 |
+
|
| 39 |
+
- **Repository:** [More Information Needed]
|
| 40 |
+
- **Paper [optional]:** [More Information Needed]
|
| 41 |
+
- **Demo [optional]:** [More Information Needed]
|
| 42 |
+
|
| 43 |
+
## Uses
|
| 44 |
+
|
| 45 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 46 |
+
|
| 47 |
+
### Direct Use
|
| 48 |
+
|
| 49 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 50 |
+
|
| 51 |
+
[More Information Needed]
|
| 52 |
+
|
| 53 |
+
### Downstream Use [optional]
|
| 54 |
+
|
| 55 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 56 |
+
|
| 57 |
+
[More Information Needed]
|
| 58 |
+
|
| 59 |
+
### Out-of-Scope Use
|
| 60 |
+
|
| 61 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 62 |
+
|
| 63 |
+
[More Information Needed]
|
| 64 |
+
|
| 65 |
+
## Bias, Risks, and Limitations
|
| 66 |
+
|
| 67 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 68 |
+
|
| 69 |
+
[More Information Needed]
|
| 70 |
+
|
| 71 |
+
### Recommendations
|
| 72 |
+
|
| 73 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 74 |
+
|
| 75 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 76 |
+
|
| 77 |
+
## How to Get Started with the Model
|
| 78 |
+
|
| 79 |
+
Use the code below to get started with the model.
|
| 80 |
+
|
| 81 |
+
[More Information Needed]
|
| 82 |
+
|
| 83 |
+
## Training Details
|
| 84 |
+
|
| 85 |
+
### Training Data
|
| 86 |
+
|
| 87 |
+
<!-- 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. -->
|
| 88 |
+
|
| 89 |
+
[More Information Needed]
|
| 90 |
+
|
| 91 |
+
### Training Procedure
|
| 92 |
+
|
| 93 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 94 |
+
|
| 95 |
+
#### Preprocessing [optional]
|
| 96 |
+
|
| 97 |
+
[More Information Needed]
|
| 98 |
+
|
| 99 |
+
|
| 100 |
+
#### Training Hyperparameters
|
| 101 |
+
|
| 102 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 103 |
+
|
| 104 |
+
#### Speeds, Sizes, Times [optional]
|
| 105 |
+
|
| 106 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 107 |
+
|
| 108 |
+
[More Information Needed]
|
| 109 |
+
|
| 110 |
+
## Evaluation
|
| 111 |
+
|
| 112 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 113 |
+
|
| 114 |
+
### Testing Data, Factors & Metrics
|
| 115 |
+
|
| 116 |
+
#### Testing Data
|
| 117 |
+
|
| 118 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 119 |
+
|
| 120 |
+
[More Information Needed]
|
| 121 |
+
|
| 122 |
+
#### Factors
|
| 123 |
+
|
| 124 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 125 |
+
|
| 126 |
+
[More Information Needed]
|
| 127 |
+
|
| 128 |
+
#### Metrics
|
| 129 |
+
|
| 130 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 131 |
+
|
| 132 |
+
[More Information Needed]
|
| 133 |
+
|
| 134 |
+
### Results
|
| 135 |
+
|
| 136 |
+
[More Information Needed]
|
| 137 |
+
|
| 138 |
+
#### Summary
|
| 139 |
+
|
| 140 |
+
|
| 141 |
+
|
| 142 |
+
## Model Examination [optional]
|
| 143 |
+
|
| 144 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 145 |
+
|
| 146 |
+
[More Information Needed]
|
| 147 |
+
|
| 148 |
+
## Environmental Impact
|
| 149 |
+
|
| 150 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 151 |
+
|
| 152 |
+
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).
|
| 153 |
+
|
| 154 |
+
- **Hardware Type:** [More Information Needed]
|
| 155 |
+
- **Hours used:** [More Information Needed]
|
| 156 |
+
- **Cloud Provider:** [More Information Needed]
|
| 157 |
+
- **Compute Region:** [More Information Needed]
|
| 158 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 159 |
+
|
| 160 |
+
## Technical Specifications [optional]
|
| 161 |
+
|
| 162 |
+
### Model Architecture and Objective
|
| 163 |
+
|
| 164 |
+
[More Information Needed]
|
| 165 |
+
|
| 166 |
+
### Compute Infrastructure
|
| 167 |
+
|
| 168 |
+
[More Information Needed]
|
| 169 |
+
|
| 170 |
+
#### Hardware
|
| 171 |
+
|
| 172 |
+
[More Information Needed]
|
| 173 |
+
|
| 174 |
+
#### Software
|
| 175 |
+
|
| 176 |
+
[More Information Needed]
|
| 177 |
+
|
| 178 |
+
## Citation [optional]
|
| 179 |
+
|
| 180 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 181 |
+
|
| 182 |
+
**BibTeX:**
|
| 183 |
+
|
| 184 |
+
[More Information Needed]
|
| 185 |
+
|
| 186 |
+
**APA:**
|
| 187 |
+
|
| 188 |
+
[More Information Needed]
|
| 189 |
+
|
| 190 |
+
## Glossary [optional]
|
| 191 |
+
|
| 192 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 193 |
+
|
| 194 |
+
[More Information Needed]
|
| 195 |
+
|
| 196 |
+
## More Information [optional]
|
| 197 |
+
|
| 198 |
+
[More Information Needed]
|
| 199 |
+
|
| 200 |
+
## Model Card Authors [optional]
|
| 201 |
+
|
| 202 |
+
[More Information Needed]
|
| 203 |
+
|
| 204 |
+
## Model Card Contact
|
| 205 |
+
|
| 206 |
+
[More Information Needed]
|
| 207 |
+
### Framework versions
|
| 208 |
+
|
| 209 |
+
- PEFT 0.18.0
|
checkpoint-1737/adapter_config.json
ADDED
|
@@ -0,0 +1,41 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
+
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "Qwen/Qwen2-VL-2B-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": false,
|
| 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": 16,
|
| 20 |
+
"lora_bias": false,
|
| 21 |
+
"lora_dropout": 0.1,
|
| 22 |
+
"megatron_config": null,
|
| 23 |
+
"megatron_core": "megatron.core",
|
| 24 |
+
"modules_to_save": null,
|
| 25 |
+
"peft_type": "LORA",
|
| 26 |
+
"peft_version": "0.18.0",
|
| 27 |
+
"qalora_group_size": 16,
|
| 28 |
+
"r": 8,
|
| 29 |
+
"rank_pattern": {},
|
| 30 |
+
"revision": null,
|
| 31 |
+
"target_modules": [
|
| 32 |
+
"q_proj",
|
| 33 |
+
"v_proj"
|
| 34 |
+
],
|
| 35 |
+
"target_parameters": null,
|
| 36 |
+
"task_type": "CAUSAL_LM",
|
| 37 |
+
"trainable_token_indices": null,
|
| 38 |
+
"use_dora": false,
|
| 39 |
+
"use_qalora": false,
|
| 40 |
+
"use_rslora": false
|
| 41 |
+
}
|
checkpoint-1737/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b5f4b9708eccf0370f9aaa1466d17c487ab3a9e4e84732d5cd39bbd229aedd5c
|
| 3 |
+
size 4374520
|
checkpoint-1737/added_tokens.json
ADDED
|
@@ -0,0 +1,16 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"<|box_end|>": 151649,
|
| 3 |
+
"<|box_start|>": 151648,
|
| 4 |
+
"<|endoftext|>": 151643,
|
| 5 |
+
"<|im_end|>": 151645,
|
| 6 |
+
"<|im_start|>": 151644,
|
| 7 |
+
"<|image_pad|>": 151655,
|
| 8 |
+
"<|object_ref_end|>": 151647,
|
| 9 |
+
"<|object_ref_start|>": 151646,
|
| 10 |
+
"<|quad_end|>": 151651,
|
| 11 |
+
"<|quad_start|>": 151650,
|
| 12 |
+
"<|video_pad|>": 151656,
|
| 13 |
+
"<|vision_end|>": 151653,
|
| 14 |
+
"<|vision_pad|>": 151654,
|
| 15 |
+
"<|vision_start|>": 151652
|
| 16 |
+
}
|
checkpoint-1737/chat_template.jinja
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system
|
| 2 |
+
You are a helpful assistant.<|im_end|>
|
| 3 |
+
{% endif %}<|im_start|>{{ message['role'] }}
|
| 4 |
+
{% if message['content'] is string %}{{ message['content'] }}<|im_end|>
|
| 5 |
+
{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>
|
| 6 |
+
{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant
|
| 7 |
+
{% endif %}
|
checkpoint-1737/merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-1737/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:84ee821de3d805218a80046b08a325803a2434e306b554e094f68548e53fbe41
|
| 3 |
+
size 8783179
|
checkpoint-1737/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4e816ab59bde4778d4f30814a9146abbd7044e1640b72b0be4234c4aa55b98f1
|
| 3 |
+
size 14645
|
checkpoint-1737/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f9121f4d6a6f445ab467d2762de7c0b86cf7fef9179d9273d56797386ca47712
|
| 3 |
+
size 1465
|
checkpoint-1737/special_tokens_map.json
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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 |
+
"eos_token": {
|
| 18 |
+
"content": "<|im_end|>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
},
|
| 24 |
+
"pad_token": {
|
| 25 |
+
"content": "<|endoftext|>",
|
| 26 |
+
"lstrip": false,
|
| 27 |
+
"normalized": false,
|
| 28 |
+
"rstrip": false,
|
| 29 |
+
"single_word": false
|
| 30 |
+
}
|
| 31 |
+
}
|
checkpoint-1737/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f33787292af226c4a4842be48a0e614d9524e25dc248e48bb1af0593de5564f9
|
| 3 |
+
size 11420539
|
checkpoint-1737/tokenizer_config.json
ADDED
|
@@ -0,0 +1,143 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"added_tokens_decoder": {
|
| 4 |
+
"151643": {
|
| 5 |
+
"content": "<|endoftext|>",
|
| 6 |
+
"lstrip": false,
|
| 7 |
+
"normalized": false,
|
| 8 |
+
"rstrip": false,
|
| 9 |
+
"single_word": false,
|
| 10 |
+
"special": true
|
| 11 |
+
},
|
| 12 |
+
"151644": {
|
| 13 |
+
"content": "<|im_start|>",
|
| 14 |
+
"lstrip": false,
|
| 15 |
+
"normalized": false,
|
| 16 |
+
"rstrip": false,
|
| 17 |
+
"single_word": false,
|
| 18 |
+
"special": true
|
| 19 |
+
},
|
| 20 |
+
"151645": {
|
| 21 |
+
"content": "<|im_end|>",
|
| 22 |
+
"lstrip": false,
|
| 23 |
+
"normalized": false,
|
| 24 |
+
"rstrip": false,
|
| 25 |
+
"single_word": false,
|
| 26 |
+
"special": true
|
| 27 |
+
},
|
| 28 |
+
"151646": {
|
| 29 |
+
"content": "<|object_ref_start|>",
|
| 30 |
+
"lstrip": false,
|
| 31 |
+
"normalized": false,
|
| 32 |
+
"rstrip": false,
|
| 33 |
+
"single_word": false,
|
| 34 |
+
"special": true
|
| 35 |
+
},
|
| 36 |
+
"151647": {
|
| 37 |
+
"content": "<|object_ref_end|>",
|
| 38 |
+
"lstrip": false,
|
| 39 |
+
"normalized": false,
|
| 40 |
+
"rstrip": false,
|
| 41 |
+
"single_word": false,
|
| 42 |
+
"special": true
|
| 43 |
+
},
|
| 44 |
+
"151648": {
|
| 45 |
+
"content": "<|box_start|>",
|
| 46 |
+
"lstrip": false,
|
| 47 |
+
"normalized": false,
|
| 48 |
+
"rstrip": false,
|
| 49 |
+
"single_word": false,
|
| 50 |
+
"special": true
|
| 51 |
+
},
|
| 52 |
+
"151649": {
|
| 53 |
+
"content": "<|box_end|>",
|
| 54 |
+
"lstrip": false,
|
| 55 |
+
"normalized": false,
|
| 56 |
+
"rstrip": false,
|
| 57 |
+
"single_word": false,
|
| 58 |
+
"special": true
|
| 59 |
+
},
|
| 60 |
+
"151650": {
|
| 61 |
+
"content": "<|quad_start|>",
|
| 62 |
+
"lstrip": false,
|
| 63 |
+
"normalized": false,
|
| 64 |
+
"rstrip": false,
|
| 65 |
+
"single_word": false,
|
| 66 |
+
"special": true
|
| 67 |
+
},
|
| 68 |
+
"151651": {
|
| 69 |
+
"content": "<|quad_end|>",
|
| 70 |
+
"lstrip": false,
|
| 71 |
+
"normalized": false,
|
| 72 |
+
"rstrip": false,
|
| 73 |
+
"single_word": false,
|
| 74 |
+
"special": true
|
| 75 |
+
},
|
| 76 |
+
"151652": {
|
| 77 |
+
"content": "<|vision_start|>",
|
| 78 |
+
"lstrip": false,
|
| 79 |
+
"normalized": false,
|
| 80 |
+
"rstrip": false,
|
| 81 |
+
"single_word": false,
|
| 82 |
+
"special": true
|
| 83 |
+
},
|
| 84 |
+
"151653": {
|
| 85 |
+
"content": "<|vision_end|>",
|
| 86 |
+
"lstrip": false,
|
| 87 |
+
"normalized": false,
|
| 88 |
+
"rstrip": false,
|
| 89 |
+
"single_word": false,
|
| 90 |
+
"special": true
|
| 91 |
+
},
|
| 92 |
+
"151654": {
|
| 93 |
+
"content": "<|vision_pad|>",
|
| 94 |
+
"lstrip": false,
|
| 95 |
+
"normalized": false,
|
| 96 |
+
"rstrip": false,
|
| 97 |
+
"single_word": false,
|
| 98 |
+
"special": true
|
| 99 |
+
},
|
| 100 |
+
"151655": {
|
| 101 |
+
"content": "<|image_pad|>",
|
| 102 |
+
"lstrip": false,
|
| 103 |
+
"normalized": false,
|
| 104 |
+
"rstrip": false,
|
| 105 |
+
"single_word": false,
|
| 106 |
+
"special": true
|
| 107 |
+
},
|
| 108 |
+
"151656": {
|
| 109 |
+
"content": "<|video_pad|>",
|
| 110 |
+
"lstrip": false,
|
| 111 |
+
"normalized": false,
|
| 112 |
+
"rstrip": false,
|
| 113 |
+
"single_word": false,
|
| 114 |
+
"special": true
|
| 115 |
+
}
|
| 116 |
+
},
|
| 117 |
+
"additional_special_tokens": [
|
| 118 |
+
"<|im_start|>",
|
| 119 |
+
"<|im_end|>",
|
| 120 |
+
"<|object_ref_start|>",
|
| 121 |
+
"<|object_ref_end|>",
|
| 122 |
+
"<|box_start|>",
|
| 123 |
+
"<|box_end|>",
|
| 124 |
+
"<|quad_start|>",
|
| 125 |
+
"<|quad_end|>",
|
| 126 |
+
"<|vision_start|>",
|
| 127 |
+
"<|vision_end|>",
|
| 128 |
+
"<|vision_pad|>",
|
| 129 |
+
"<|image_pad|>",
|
| 130 |
+
"<|video_pad|>"
|
| 131 |
+
],
|
| 132 |
+
"bos_token": null,
|
| 133 |
+
"clean_up_tokenization_spaces": false,
|
| 134 |
+
"eos_token": "<|im_end|>",
|
| 135 |
+
"errors": "replace",
|
| 136 |
+
"extra_special_tokens": {},
|
| 137 |
+
"model_max_length": 32768,
|
| 138 |
+
"pad_token": "<|endoftext|>",
|
| 139 |
+
"padding_side": "right",
|
| 140 |
+
"split_special_tokens": false,
|
| 141 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 142 |
+
"unk_token": null
|
| 143 |
+
}
|
checkpoint-1737/trainer_state.json
ADDED
|
@@ -0,0 +1,386 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": 1737,
|
| 3 |
+
"best_metric": 6.15173864364624,
|
| 4 |
+
"best_model_checkpoint": "./output/checkpoint-1737",
|
| 5 |
+
"epoch": 1.0,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 1737,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"entropy": 3.864118957519531,
|
| 14 |
+
"epoch": 0.028785261945883708,
|
| 15 |
+
"grad_norm": 2.7545533180236816,
|
| 16 |
+
"learning_rate": 9.800000000000001e-06,
|
| 17 |
+
"loss": 15.2997,
|
| 18 |
+
"mean_token_accuracy": 0.10086015284061432,
|
| 19 |
+
"num_tokens": 47319.0,
|
| 20 |
+
"step": 50
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"entropy": 4.047076859474182,
|
| 24 |
+
"epoch": 0.057570523891767415,
|
| 25 |
+
"grad_norm": 5.0328264236450195,
|
| 26 |
+
"learning_rate": 1.98e-05,
|
| 27 |
+
"loss": 15.3264,
|
| 28 |
+
"mean_token_accuracy": 0.09582207053899765,
|
| 29 |
+
"num_tokens": 96809.0,
|
| 30 |
+
"step": 100
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"entropy": 4.7578076648712155,
|
| 34 |
+
"epoch": 0.08635578583765112,
|
| 35 |
+
"grad_norm": 38.50589370727539,
|
| 36 |
+
"learning_rate": 1.988584740827024e-05,
|
| 37 |
+
"loss": 13.0056,
|
| 38 |
+
"mean_token_accuracy": 0.126854517608881,
|
| 39 |
+
"num_tokens": 139962.0,
|
| 40 |
+
"step": 150
|
| 41 |
+
},
|
| 42 |
+
{
|
| 43 |
+
"entropy": 6.80673882484436,
|
| 44 |
+
"epoch": 0.11514104778353483,
|
| 45 |
+
"grad_norm": 12.030129432678223,
|
| 46 |
+
"learning_rate": 1.97693651718113e-05,
|
| 47 |
+
"loss": 9.2822,
|
| 48 |
+
"mean_token_accuracy": 0.11084575355052947,
|
| 49 |
+
"num_tokens": 188029.0,
|
| 50 |
+
"step": 200
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"entropy": 7.177925786972046,
|
| 54 |
+
"epoch": 0.14392630972941853,
|
| 55 |
+
"grad_norm": 4.852536201477051,
|
| 56 |
+
"learning_rate": 1.965288293535236e-05,
|
| 57 |
+
"loss": 7.6333,
|
| 58 |
+
"mean_token_accuracy": 0.12398939326405525,
|
| 59 |
+
"num_tokens": 234425.0,
|
| 60 |
+
"step": 250
|
| 61 |
+
},
|
| 62 |
+
{
|
| 63 |
+
"entropy": 7.080496473312378,
|
| 64 |
+
"epoch": 0.17271157167530224,
|
| 65 |
+
"grad_norm": 4.10841178894043,
|
| 66 |
+
"learning_rate": 1.9536400698893422e-05,
|
| 67 |
+
"loss": 7.1632,
|
| 68 |
+
"mean_token_accuracy": 0.13563686355948448,
|
| 69 |
+
"num_tokens": 278885.0,
|
| 70 |
+
"step": 300
|
| 71 |
+
},
|
| 72 |
+
{
|
| 73 |
+
"entropy": 6.931579580307007,
|
| 74 |
+
"epoch": 0.20149683362118595,
|
| 75 |
+
"grad_norm": 14.636048316955566,
|
| 76 |
+
"learning_rate": 1.941991846243448e-05,
|
| 77 |
+
"loss": 6.8213,
|
| 78 |
+
"mean_token_accuracy": 0.16459846690297128,
|
| 79 |
+
"num_tokens": 325491.0,
|
| 80 |
+
"step": 350
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"entropy": 6.853660764694214,
|
| 84 |
+
"epoch": 0.23028209556706966,
|
| 85 |
+
"grad_norm": 5.966708183288574,
|
| 86 |
+
"learning_rate": 1.930343622597554e-05,
|
| 87 |
+
"loss": 6.6625,
|
| 88 |
+
"mean_token_accuracy": 0.17670693069696428,
|
| 89 |
+
"num_tokens": 372913.0,
|
| 90 |
+
"step": 400
|
| 91 |
+
},
|
| 92 |
+
{
|
| 93 |
+
"entropy": 6.684267387390137,
|
| 94 |
+
"epoch": 0.25906735751295334,
|
| 95 |
+
"grad_norm": 4.031010627746582,
|
| 96 |
+
"learning_rate": 1.91869539895166e-05,
|
| 97 |
+
"loss": 6.4505,
|
| 98 |
+
"mean_token_accuracy": 0.1943434515595436,
|
| 99 |
+
"num_tokens": 419159.0,
|
| 100 |
+
"step": 450
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"entropy": 6.679989137649536,
|
| 104 |
+
"epoch": 0.28785261945883706,
|
| 105 |
+
"grad_norm": 6.251070022583008,
|
| 106 |
+
"learning_rate": 1.907047175305766e-05,
|
| 107 |
+
"loss": 6.4314,
|
| 108 |
+
"mean_token_accuracy": 0.19514557600021362,
|
| 109 |
+
"num_tokens": 466994.0,
|
| 110 |
+
"step": 500
|
| 111 |
+
},
|
| 112 |
+
{
|
| 113 |
+
"entropy": 6.477229623794556,
|
| 114 |
+
"epoch": 0.31663788140472077,
|
| 115 |
+
"grad_norm": 3.8656675815582275,
|
| 116 |
+
"learning_rate": 1.895398951659872e-05,
|
| 117 |
+
"loss": 6.2139,
|
| 118 |
+
"mean_token_accuracy": 0.21764743447303772,
|
| 119 |
+
"num_tokens": 513308.0,
|
| 120 |
+
"step": 550
|
| 121 |
+
},
|
| 122 |
+
{
|
| 123 |
+
"entropy": 6.408129243850708,
|
| 124 |
+
"epoch": 0.3454231433506045,
|
| 125 |
+
"grad_norm": 8.688581466674805,
|
| 126 |
+
"learning_rate": 1.883750728013978e-05,
|
| 127 |
+
"loss": 6.1224,
|
| 128 |
+
"mean_token_accuracy": 0.23438037544488907,
|
| 129 |
+
"num_tokens": 559679.0,
|
| 130 |
+
"step": 600
|
| 131 |
+
},
|
| 132 |
+
{
|
| 133 |
+
"entropy": 6.128518767356873,
|
| 134 |
+
"epoch": 0.3742084052964882,
|
| 135 |
+
"grad_norm": 5.419503688812256,
|
| 136 |
+
"learning_rate": 1.872102504368084e-05,
|
| 137 |
+
"loss": 5.8692,
|
| 138 |
+
"mean_token_accuracy": 0.26634690463542937,
|
| 139 |
+
"num_tokens": 603140.0,
|
| 140 |
+
"step": 650
|
| 141 |
+
},
|
| 142 |
+
{
|
| 143 |
+
"entropy": 6.322700729370117,
|
| 144 |
+
"epoch": 0.4029936672423719,
|
| 145 |
+
"grad_norm": 2.2213082313537598,
|
| 146 |
+
"learning_rate": 1.86045428072219e-05,
|
| 147 |
+
"loss": 6.0717,
|
| 148 |
+
"mean_token_accuracy": 0.24038562417030335,
|
| 149 |
+
"num_tokens": 650179.0,
|
| 150 |
+
"step": 700
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"entropy": 6.236415157318115,
|
| 154 |
+
"epoch": 0.4317789291882556,
|
| 155 |
+
"grad_norm": 4.804980278015137,
|
| 156 |
+
"learning_rate": 1.848806057076296e-05,
|
| 157 |
+
"loss": 5.9986,
|
| 158 |
+
"mean_token_accuracy": 0.24596781462430953,
|
| 159 |
+
"num_tokens": 696220.0,
|
| 160 |
+
"step": 750
|
| 161 |
+
},
|
| 162 |
+
{
|
| 163 |
+
"entropy": 6.269758443832398,
|
| 164 |
+
"epoch": 0.4605641911341393,
|
| 165 |
+
"grad_norm": 2.2888853549957275,
|
| 166 |
+
"learning_rate": 1.837157833430402e-05,
|
| 167 |
+
"loss": 6.0385,
|
| 168 |
+
"mean_token_accuracy": 0.24074893474578857,
|
| 169 |
+
"num_tokens": 743909.0,
|
| 170 |
+
"step": 800
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"entropy": 6.270364007949829,
|
| 174 |
+
"epoch": 0.48934945308002303,
|
| 175 |
+
"grad_norm": 3.0903279781341553,
|
| 176 |
+
"learning_rate": 1.825509609784508e-05,
|
| 177 |
+
"loss": 6.0481,
|
| 178 |
+
"mean_token_accuracy": 0.23740622967481614,
|
| 179 |
+
"num_tokens": 792015.0,
|
| 180 |
+
"step": 850
|
| 181 |
+
},
|
| 182 |
+
{
|
| 183 |
+
"entropy": 6.3037636184692385,
|
| 184 |
+
"epoch": 0.5181347150259067,
|
| 185 |
+
"grad_norm": 3.969320058822632,
|
| 186 |
+
"learning_rate": 1.813861386138614e-05,
|
| 187 |
+
"loss": 6.0855,
|
| 188 |
+
"mean_token_accuracy": 0.2309597587585449,
|
| 189 |
+
"num_tokens": 841802.0,
|
| 190 |
+
"step": 900
|
| 191 |
+
},
|
| 192 |
+
{
|
| 193 |
+
"entropy": 6.038041458129883,
|
| 194 |
+
"epoch": 0.5469199769717904,
|
| 195 |
+
"grad_norm": 2.2712185382843018,
|
| 196 |
+
"learning_rate": 1.80221316249272e-05,
|
| 197 |
+
"loss": 5.8285,
|
| 198 |
+
"mean_token_accuracy": 0.26099125802516937,
|
| 199 |
+
"num_tokens": 886492.0,
|
| 200 |
+
"step": 950
|
| 201 |
+
},
|
| 202 |
+
{
|
| 203 |
+
"entropy": 6.142958383560181,
|
| 204 |
+
"epoch": 0.5757052389176741,
|
| 205 |
+
"grad_norm": 1.2311755418777466,
|
| 206 |
+
"learning_rate": 1.790564938846826e-05,
|
| 207 |
+
"loss": 5.9357,
|
| 208 |
+
"mean_token_accuracy": 0.24810438305139543,
|
| 209 |
+
"num_tokens": 932807.0,
|
| 210 |
+
"step": 1000
|
| 211 |
+
},
|
| 212 |
+
{
|
| 213 |
+
"entropy": 6.199834351539612,
|
| 214 |
+
"epoch": 0.6044905008635578,
|
| 215 |
+
"grad_norm": 2.2788379192352295,
|
| 216 |
+
"learning_rate": 1.7789167152009318e-05,
|
| 217 |
+
"loss": 5.9964,
|
| 218 |
+
"mean_token_accuracy": 0.23942562609910964,
|
| 219 |
+
"num_tokens": 980541.0,
|
| 220 |
+
"step": 1050
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"entropy": 5.961639919281006,
|
| 224 |
+
"epoch": 0.6332757628094415,
|
| 225 |
+
"grad_norm": 1.9077532291412354,
|
| 226 |
+
"learning_rate": 1.767268491555038e-05,
|
| 227 |
+
"loss": 5.7664,
|
| 228 |
+
"mean_token_accuracy": 0.26718012750148773,
|
| 229 |
+
"num_tokens": 1023882.0,
|
| 230 |
+
"step": 1100
|
| 231 |
+
},
|
| 232 |
+
{
|
| 233 |
+
"entropy": 5.889280087947846,
|
| 234 |
+
"epoch": 0.6620610247553252,
|
| 235 |
+
"grad_norm": 2.4254891872406006,
|
| 236 |
+
"learning_rate": 1.7556202679091442e-05,
|
| 237 |
+
"loss": 5.6952,
|
| 238 |
+
"mean_token_accuracy": 0.27529804170131683,
|
| 239 |
+
"num_tokens": 1068300.0,
|
| 240 |
+
"step": 1150
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"entropy": 6.085640063285828,
|
| 244 |
+
"epoch": 0.690846286701209,
|
| 245 |
+
"grad_norm": 2.35312557220459,
|
| 246 |
+
"learning_rate": 1.74397204426325e-05,
|
| 247 |
+
"loss": 5.8898,
|
| 248 |
+
"mean_token_accuracy": 0.25166562348604204,
|
| 249 |
+
"num_tokens": 1115425.0,
|
| 250 |
+
"step": 1200
|
| 251 |
+
},
|
| 252 |
+
{
|
| 253 |
+
"entropy": 6.146574058532715,
|
| 254 |
+
"epoch": 0.7196315486470927,
|
| 255 |
+
"grad_norm": 1.7730146646499634,
|
| 256 |
+
"learning_rate": 1.732323820617356e-05,
|
| 257 |
+
"loss": 5.9519,
|
| 258 |
+
"mean_token_accuracy": 0.24276195973157882,
|
| 259 |
+
"num_tokens": 1162319.0,
|
| 260 |
+
"step": 1250
|
| 261 |
+
},
|
| 262 |
+
{
|
| 263 |
+
"entropy": 6.079372715950012,
|
| 264 |
+
"epoch": 0.7484168105929764,
|
| 265 |
+
"grad_norm": 1.7070863246917725,
|
| 266 |
+
"learning_rate": 1.720675596971462e-05,
|
| 267 |
+
"loss": 5.8922,
|
| 268 |
+
"mean_token_accuracy": 0.24961524546146394,
|
| 269 |
+
"num_tokens": 1208230.0,
|
| 270 |
+
"step": 1300
|
| 271 |
+
},
|
| 272 |
+
{
|
| 273 |
+
"entropy": 5.9683656406402585,
|
| 274 |
+
"epoch": 0.7772020725388601,
|
| 275 |
+
"grad_norm": 1.8790594339370728,
|
| 276 |
+
"learning_rate": 1.709027373325568e-05,
|
| 277 |
+
"loss": 5.7827,
|
| 278 |
+
"mean_token_accuracy": 0.2632122594118118,
|
| 279 |
+
"num_tokens": 1253074.0,
|
| 280 |
+
"step": 1350
|
| 281 |
+
},
|
| 282 |
+
{
|
| 283 |
+
"entropy": 6.107076721191406,
|
| 284 |
+
"epoch": 0.8059873344847438,
|
| 285 |
+
"grad_norm": 1.1745644807815552,
|
| 286 |
+
"learning_rate": 1.6973791496796742e-05,
|
| 287 |
+
"loss": 5.9211,
|
| 288 |
+
"mean_token_accuracy": 0.24564073830842972,
|
| 289 |
+
"num_tokens": 1300179.0,
|
| 290 |
+
"step": 1400
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"entropy": 6.141328382492065,
|
| 294 |
+
"epoch": 0.8347725964306275,
|
| 295 |
+
"grad_norm": 1.0346958637237549,
|
| 296 |
+
"learning_rate": 1.68573092603378e-05,
|
| 297 |
+
"loss": 5.9584,
|
| 298 |
+
"mean_token_accuracy": 0.23997059136629104,
|
| 299 |
+
"num_tokens": 1347539.0,
|
| 300 |
+
"step": 1450
|
| 301 |
+
},
|
| 302 |
+
{
|
| 303 |
+
"entropy": 6.070010099411011,
|
| 304 |
+
"epoch": 0.8635578583765112,
|
| 305 |
+
"grad_norm": 1.6541163921356201,
|
| 306 |
+
"learning_rate": 1.674082702387886e-05,
|
| 307 |
+
"loss": 5.889,
|
| 308 |
+
"mean_token_accuracy": 0.24875166177749633,
|
| 309 |
+
"num_tokens": 1394157.0,
|
| 310 |
+
"step": 1500
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"entropy": 6.207450666427612,
|
| 314 |
+
"epoch": 0.8923431203223949,
|
| 315 |
+
"grad_norm": 0.9742990732192993,
|
| 316 |
+
"learning_rate": 1.662434478741992e-05,
|
| 317 |
+
"loss": 6.0217,
|
| 318 |
+
"mean_token_accuracy": 0.23067249596118927,
|
| 319 |
+
"num_tokens": 1443892.0,
|
| 320 |
+
"step": 1550
|
| 321 |
+
},
|
| 322 |
+
{
|
| 323 |
+
"entropy": 6.026197805404663,
|
| 324 |
+
"epoch": 0.9211283822682786,
|
| 325 |
+
"grad_norm": 1.4229531288146973,
|
| 326 |
+
"learning_rate": 1.650786255096098e-05,
|
| 327 |
+
"loss": 5.8455,
|
| 328 |
+
"mean_token_accuracy": 0.2537291014194489,
|
| 329 |
+
"num_tokens": 1491050.0,
|
| 330 |
+
"step": 1600
|
| 331 |
+
},
|
| 332 |
+
{
|
| 333 |
+
"entropy": 6.210526428222656,
|
| 334 |
+
"epoch": 0.9499136442141624,
|
| 335 |
+
"grad_norm": 1.3555018901824951,
|
| 336 |
+
"learning_rate": 1.6391380314502038e-05,
|
| 337 |
+
"loss": 6.0279,
|
| 338 |
+
"mean_token_accuracy": 0.2308420208096504,
|
| 339 |
+
"num_tokens": 1540809.0,
|
| 340 |
+
"step": 1650
|
| 341 |
+
},
|
| 342 |
+
{
|
| 343 |
+
"entropy": 5.9872834014892575,
|
| 344 |
+
"epoch": 0.9786989061600461,
|
| 345 |
+
"grad_norm": 0.9893498420715332,
|
| 346 |
+
"learning_rate": 1.62748980780431e-05,
|
| 347 |
+
"loss": 5.8137,
|
| 348 |
+
"mean_token_accuracy": 0.2566875320672989,
|
| 349 |
+
"num_tokens": 1585876.0,
|
| 350 |
+
"step": 1700
|
| 351 |
+
},
|
| 352 |
+
{
|
| 353 |
+
"epoch": 1.0,
|
| 354 |
+
"eval_entropy": 6.322207130045386,
|
| 355 |
+
"eval_loss": 6.15173864364624,
|
| 356 |
+
"eval_mean_token_accuracy": 0.21116007946877985,
|
| 357 |
+
"eval_model_preparation_time": 0.0036,
|
| 358 |
+
"eval_num_tokens": 1619719.0,
|
| 359 |
+
"eval_runtime": 76.1297,
|
| 360 |
+
"eval_samples_per_second": 5.701,
|
| 361 |
+
"eval_steps_per_second": 2.85,
|
| 362 |
+
"step": 1737
|
| 363 |
+
}
|
| 364 |
+
],
|
| 365 |
+
"logging_steps": 50,
|
| 366 |
+
"max_steps": 8685,
|
| 367 |
+
"num_input_tokens_seen": 0,
|
| 368 |
+
"num_train_epochs": 5,
|
| 369 |
+
"save_steps": 500,
|
| 370 |
+
"stateful_callbacks": {
|
| 371 |
+
"TrainerControl": {
|
| 372 |
+
"args": {
|
| 373 |
+
"should_epoch_stop": false,
|
| 374 |
+
"should_evaluate": false,
|
| 375 |
+
"should_log": false,
|
| 376 |
+
"should_save": true,
|
| 377 |
+
"should_training_stop": false
|
| 378 |
+
},
|
| 379 |
+
"attributes": {}
|
| 380 |
+
}
|
| 381 |
+
},
|
| 382 |
+
"total_flos": 2.265889302609408e+16,
|
| 383 |
+
"train_batch_size": 2,
|
| 384 |
+
"trial_name": null,
|
| 385 |
+
"trial_params": null
|
| 386 |
+
}
|
checkpoint-1737/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:130d33149272782bd60306263c371036419926142b8999aad7806359168f8484
|
| 3 |
+
size 6225
|
checkpoint-1737/vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-3474/README.md
ADDED
|
@@ -0,0 +1,209 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: ''
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:Qwen/Qwen2-VL-2B-Instruct
|
| 7 |
+
- lora
|
| 8 |
+
- sft
|
| 9 |
+
- transformers
|
| 10 |
+
- trl
|
| 11 |
+
---
|
| 12 |
+
|
| 13 |
+
# Model Card for Model ID
|
| 14 |
+
|
| 15 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 16 |
+
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
## Model Details
|
| 20 |
+
|
| 21 |
+
### Model Description
|
| 22 |
+
|
| 23 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 24 |
+
|
| 25 |
+
|
| 26 |
+
|
| 27 |
+
- **Developed by:** [More Information Needed]
|
| 28 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 29 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 30 |
+
- **Model type:** [More Information Needed]
|
| 31 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 32 |
+
- **License:** [More Information Needed]
|
| 33 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 34 |
+
|
| 35 |
+
### Model Sources [optional]
|
| 36 |
+
|
| 37 |
+
<!-- Provide the basic links for the model. -->
|
| 38 |
+
|
| 39 |
+
- **Repository:** [More Information Needed]
|
| 40 |
+
- **Paper [optional]:** [More Information Needed]
|
| 41 |
+
- **Demo [optional]:** [More Information Needed]
|
| 42 |
+
|
| 43 |
+
## Uses
|
| 44 |
+
|
| 45 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 46 |
+
|
| 47 |
+
### Direct Use
|
| 48 |
+
|
| 49 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 50 |
+
|
| 51 |
+
[More Information Needed]
|
| 52 |
+
|
| 53 |
+
### Downstream Use [optional]
|
| 54 |
+
|
| 55 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 56 |
+
|
| 57 |
+
[More Information Needed]
|
| 58 |
+
|
| 59 |
+
### Out-of-Scope Use
|
| 60 |
+
|
| 61 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 62 |
+
|
| 63 |
+
[More Information Needed]
|
| 64 |
+
|
| 65 |
+
## Bias, Risks, and Limitations
|
| 66 |
+
|
| 67 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 68 |
+
|
| 69 |
+
[More Information Needed]
|
| 70 |
+
|
| 71 |
+
### Recommendations
|
| 72 |
+
|
| 73 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 74 |
+
|
| 75 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 76 |
+
|
| 77 |
+
## How to Get Started with the Model
|
| 78 |
+
|
| 79 |
+
Use the code below to get started with the model.
|
| 80 |
+
|
| 81 |
+
[More Information Needed]
|
| 82 |
+
|
| 83 |
+
## Training Details
|
| 84 |
+
|
| 85 |
+
### Training Data
|
| 86 |
+
|
| 87 |
+
<!-- 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. -->
|
| 88 |
+
|
| 89 |
+
[More Information Needed]
|
| 90 |
+
|
| 91 |
+
### Training Procedure
|
| 92 |
+
|
| 93 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 94 |
+
|
| 95 |
+
#### Preprocessing [optional]
|
| 96 |
+
|
| 97 |
+
[More Information Needed]
|
| 98 |
+
|
| 99 |
+
|
| 100 |
+
#### Training Hyperparameters
|
| 101 |
+
|
| 102 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 103 |
+
|
| 104 |
+
#### Speeds, Sizes, Times [optional]
|
| 105 |
+
|
| 106 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 107 |
+
|
| 108 |
+
[More Information Needed]
|
| 109 |
+
|
| 110 |
+
## Evaluation
|
| 111 |
+
|
| 112 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 113 |
+
|
| 114 |
+
### Testing Data, Factors & Metrics
|
| 115 |
+
|
| 116 |
+
#### Testing Data
|
| 117 |
+
|
| 118 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 119 |
+
|
| 120 |
+
[More Information Needed]
|
| 121 |
+
|
| 122 |
+
#### Factors
|
| 123 |
+
|
| 124 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 125 |
+
|
| 126 |
+
[More Information Needed]
|
| 127 |
+
|
| 128 |
+
#### Metrics
|
| 129 |
+
|
| 130 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 131 |
+
|
| 132 |
+
[More Information Needed]
|
| 133 |
+
|
| 134 |
+
### Results
|
| 135 |
+
|
| 136 |
+
[More Information Needed]
|
| 137 |
+
|
| 138 |
+
#### Summary
|
| 139 |
+
|
| 140 |
+
|
| 141 |
+
|
| 142 |
+
## Model Examination [optional]
|
| 143 |
+
|
| 144 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 145 |
+
|
| 146 |
+
[More Information Needed]
|
| 147 |
+
|
| 148 |
+
## Environmental Impact
|
| 149 |
+
|
| 150 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 151 |
+
|
| 152 |
+
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).
|
| 153 |
+
|
| 154 |
+
- **Hardware Type:** [More Information Needed]
|
| 155 |
+
- **Hours used:** [More Information Needed]
|
| 156 |
+
- **Cloud Provider:** [More Information Needed]
|
| 157 |
+
- **Compute Region:** [More Information Needed]
|
| 158 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 159 |
+
|
| 160 |
+
## Technical Specifications [optional]
|
| 161 |
+
|
| 162 |
+
### Model Architecture and Objective
|
| 163 |
+
|
| 164 |
+
[More Information Needed]
|
| 165 |
+
|
| 166 |
+
### Compute Infrastructure
|
| 167 |
+
|
| 168 |
+
[More Information Needed]
|
| 169 |
+
|
| 170 |
+
#### Hardware
|
| 171 |
+
|
| 172 |
+
[More Information Needed]
|
| 173 |
+
|
| 174 |
+
#### Software
|
| 175 |
+
|
| 176 |
+
[More Information Needed]
|
| 177 |
+
|
| 178 |
+
## Citation [optional]
|
| 179 |
+
|
| 180 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 181 |
+
|
| 182 |
+
**BibTeX:**
|
| 183 |
+
|
| 184 |
+
[More Information Needed]
|
| 185 |
+
|
| 186 |
+
**APA:**
|
| 187 |
+
|
| 188 |
+
[More Information Needed]
|
| 189 |
+
|
| 190 |
+
## Glossary [optional]
|
| 191 |
+
|
| 192 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 193 |
+
|
| 194 |
+
[More Information Needed]
|
| 195 |
+
|
| 196 |
+
## More Information [optional]
|
| 197 |
+
|
| 198 |
+
[More Information Needed]
|
| 199 |
+
|
| 200 |
+
## Model Card Authors [optional]
|
| 201 |
+
|
| 202 |
+
[More Information Needed]
|
| 203 |
+
|
| 204 |
+
## Model Card Contact
|
| 205 |
+
|
| 206 |
+
[More Information Needed]
|
| 207 |
+
### Framework versions
|
| 208 |
+
|
| 209 |
+
- PEFT 0.18.0
|
checkpoint-3474/adapter_config.json
ADDED
|
@@ -0,0 +1,41 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
+
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "Qwen/Qwen2-VL-2B-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": false,
|
| 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": 16,
|
| 20 |
+
"lora_bias": false,
|
| 21 |
+
"lora_dropout": 0.1,
|
| 22 |
+
"megatron_config": null,
|
| 23 |
+
"megatron_core": "megatron.core",
|
| 24 |
+
"modules_to_save": null,
|
| 25 |
+
"peft_type": "LORA",
|
| 26 |
+
"peft_version": "0.18.0",
|
| 27 |
+
"qalora_group_size": 16,
|
| 28 |
+
"r": 8,
|
| 29 |
+
"rank_pattern": {},
|
| 30 |
+
"revision": null,
|
| 31 |
+
"target_modules": [
|
| 32 |
+
"q_proj",
|
| 33 |
+
"v_proj"
|
| 34 |
+
],
|
| 35 |
+
"target_parameters": null,
|
| 36 |
+
"task_type": "CAUSAL_LM",
|
| 37 |
+
"trainable_token_indices": null,
|
| 38 |
+
"use_dora": false,
|
| 39 |
+
"use_qalora": false,
|
| 40 |
+
"use_rslora": false
|
| 41 |
+
}
|
checkpoint-3474/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b7979fe4ab41b842e564542d82ca738faea1a24cfcb2e3003501296353e2a240
|
| 3 |
+
size 4374520
|
checkpoint-3474/added_tokens.json
ADDED
|
@@ -0,0 +1,16 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"<|box_end|>": 151649,
|
| 3 |
+
"<|box_start|>": 151648,
|
| 4 |
+
"<|endoftext|>": 151643,
|
| 5 |
+
"<|im_end|>": 151645,
|
| 6 |
+
"<|im_start|>": 151644,
|
| 7 |
+
"<|image_pad|>": 151655,
|
| 8 |
+
"<|object_ref_end|>": 151647,
|
| 9 |
+
"<|object_ref_start|>": 151646,
|
| 10 |
+
"<|quad_end|>": 151651,
|
| 11 |
+
"<|quad_start|>": 151650,
|
| 12 |
+
"<|video_pad|>": 151656,
|
| 13 |
+
"<|vision_end|>": 151653,
|
| 14 |
+
"<|vision_pad|>": 151654,
|
| 15 |
+
"<|vision_start|>": 151652
|
| 16 |
+
}
|
checkpoint-3474/chat_template.jinja
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system
|
| 2 |
+
You are a helpful assistant.<|im_end|>
|
| 3 |
+
{% endif %}<|im_start|>{{ message['role'] }}
|
| 4 |
+
{% if message['content'] is string %}{{ message['content'] }}<|im_end|>
|
| 5 |
+
{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>
|
| 6 |
+
{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant
|
| 7 |
+
{% endif %}
|
checkpoint-3474/merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-3474/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:571f08123879a8157590252a0cd0abe24c345fd53c5c7a3b55bb8b256658f9c0
|
| 3 |
+
size 8783179
|
checkpoint-3474/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5f6c201154e30349ea924dac640f38cc7626e879caf89ba0aa995630585e3ea5
|
| 3 |
+
size 14645
|
checkpoint-3474/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ecacb7697ae73257f39077a0e981cf0773317c0d0186dca0c24e0700ca53ab36
|
| 3 |
+
size 1465
|
checkpoint-3474/special_tokens_map.json
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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 |
+
"eos_token": {
|
| 18 |
+
"content": "<|im_end|>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
},
|
| 24 |
+
"pad_token": {
|
| 25 |
+
"content": "<|endoftext|>",
|
| 26 |
+
"lstrip": false,
|
| 27 |
+
"normalized": false,
|
| 28 |
+
"rstrip": false,
|
| 29 |
+
"single_word": false
|
| 30 |
+
}
|
| 31 |
+
}
|
checkpoint-3474/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f33787292af226c4a4842be48a0e614d9524e25dc248e48bb1af0593de5564f9
|
| 3 |
+
size 11420539
|
checkpoint-3474/tokenizer_config.json
ADDED
|
@@ -0,0 +1,143 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"added_tokens_decoder": {
|
| 4 |
+
"151643": {
|
| 5 |
+
"content": "<|endoftext|>",
|
| 6 |
+
"lstrip": false,
|
| 7 |
+
"normalized": false,
|
| 8 |
+
"rstrip": false,
|
| 9 |
+
"single_word": false,
|
| 10 |
+
"special": true
|
| 11 |
+
},
|
| 12 |
+
"151644": {
|
| 13 |
+
"content": "<|im_start|>",
|
| 14 |
+
"lstrip": false,
|
| 15 |
+
"normalized": false,
|
| 16 |
+
"rstrip": false,
|
| 17 |
+
"single_word": false,
|
| 18 |
+
"special": true
|
| 19 |
+
},
|
| 20 |
+
"151645": {
|
| 21 |
+
"content": "<|im_end|>",
|
| 22 |
+
"lstrip": false,
|
| 23 |
+
"normalized": false,
|
| 24 |
+
"rstrip": false,
|
| 25 |
+
"single_word": false,
|
| 26 |
+
"special": true
|
| 27 |
+
},
|
| 28 |
+
"151646": {
|
| 29 |
+
"content": "<|object_ref_start|>",
|
| 30 |
+
"lstrip": false,
|
| 31 |
+
"normalized": false,
|
| 32 |
+
"rstrip": false,
|
| 33 |
+
"single_word": false,
|
| 34 |
+
"special": true
|
| 35 |
+
},
|
| 36 |
+
"151647": {
|
| 37 |
+
"content": "<|object_ref_end|>",
|
| 38 |
+
"lstrip": false,
|
| 39 |
+
"normalized": false,
|
| 40 |
+
"rstrip": false,
|
| 41 |
+
"single_word": false,
|
| 42 |
+
"special": true
|
| 43 |
+
},
|
| 44 |
+
"151648": {
|
| 45 |
+
"content": "<|box_start|>",
|
| 46 |
+
"lstrip": false,
|
| 47 |
+
"normalized": false,
|
| 48 |
+
"rstrip": false,
|
| 49 |
+
"single_word": false,
|
| 50 |
+
"special": true
|
| 51 |
+
},
|
| 52 |
+
"151649": {
|
| 53 |
+
"content": "<|box_end|>",
|
| 54 |
+
"lstrip": false,
|
| 55 |
+
"normalized": false,
|
| 56 |
+
"rstrip": false,
|
| 57 |
+
"single_word": false,
|
| 58 |
+
"special": true
|
| 59 |
+
},
|
| 60 |
+
"151650": {
|
| 61 |
+
"content": "<|quad_start|>",
|
| 62 |
+
"lstrip": false,
|
| 63 |
+
"normalized": false,
|
| 64 |
+
"rstrip": false,
|
| 65 |
+
"single_word": false,
|
| 66 |
+
"special": true
|
| 67 |
+
},
|
| 68 |
+
"151651": {
|
| 69 |
+
"content": "<|quad_end|>",
|
| 70 |
+
"lstrip": false,
|
| 71 |
+
"normalized": false,
|
| 72 |
+
"rstrip": false,
|
| 73 |
+
"single_word": false,
|
| 74 |
+
"special": true
|
| 75 |
+
},
|
| 76 |
+
"151652": {
|
| 77 |
+
"content": "<|vision_start|>",
|
| 78 |
+
"lstrip": false,
|
| 79 |
+
"normalized": false,
|
| 80 |
+
"rstrip": false,
|
| 81 |
+
"single_word": false,
|
| 82 |
+
"special": true
|
| 83 |
+
},
|
| 84 |
+
"151653": {
|
| 85 |
+
"content": "<|vision_end|>",
|
| 86 |
+
"lstrip": false,
|
| 87 |
+
"normalized": false,
|
| 88 |
+
"rstrip": false,
|
| 89 |
+
"single_word": false,
|
| 90 |
+
"special": true
|
| 91 |
+
},
|
| 92 |
+
"151654": {
|
| 93 |
+
"content": "<|vision_pad|>",
|
| 94 |
+
"lstrip": false,
|
| 95 |
+
"normalized": false,
|
| 96 |
+
"rstrip": false,
|
| 97 |
+
"single_word": false,
|
| 98 |
+
"special": true
|
| 99 |
+
},
|
| 100 |
+
"151655": {
|
| 101 |
+
"content": "<|image_pad|>",
|
| 102 |
+
"lstrip": false,
|
| 103 |
+
"normalized": false,
|
| 104 |
+
"rstrip": false,
|
| 105 |
+
"single_word": false,
|
| 106 |
+
"special": true
|
| 107 |
+
},
|
| 108 |
+
"151656": {
|
| 109 |
+
"content": "<|video_pad|>",
|
| 110 |
+
"lstrip": false,
|
| 111 |
+
"normalized": false,
|
| 112 |
+
"rstrip": false,
|
| 113 |
+
"single_word": false,
|
| 114 |
+
"special": true
|
| 115 |
+
}
|
| 116 |
+
},
|
| 117 |
+
"additional_special_tokens": [
|
| 118 |
+
"<|im_start|>",
|
| 119 |
+
"<|im_end|>",
|
| 120 |
+
"<|object_ref_start|>",
|
| 121 |
+
"<|object_ref_end|>",
|
| 122 |
+
"<|box_start|>",
|
| 123 |
+
"<|box_end|>",
|
| 124 |
+
"<|quad_start|>",
|
| 125 |
+
"<|quad_end|>",
|
| 126 |
+
"<|vision_start|>",
|
| 127 |
+
"<|vision_end|>",
|
| 128 |
+
"<|vision_pad|>",
|
| 129 |
+
"<|image_pad|>",
|
| 130 |
+
"<|video_pad|>"
|
| 131 |
+
],
|
| 132 |
+
"bos_token": null,
|
| 133 |
+
"clean_up_tokenization_spaces": false,
|
| 134 |
+
"eos_token": "<|im_end|>",
|
| 135 |
+
"errors": "replace",
|
| 136 |
+
"extra_special_tokens": {},
|
| 137 |
+
"model_max_length": 32768,
|
| 138 |
+
"pad_token": "<|endoftext|>",
|
| 139 |
+
"padding_side": "right",
|
| 140 |
+
"split_special_tokens": false,
|
| 141 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 142 |
+
"unk_token": null
|
| 143 |
+
}
|
checkpoint-3474/trainer_state.json
ADDED
|
@@ -0,0 +1,748 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": 3474,
|
| 3 |
+
"best_metric": 6.12472677230835,
|
| 4 |
+
"best_model_checkpoint": "./output/checkpoint-3474",
|
| 5 |
+
"epoch": 2.0,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 3474,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"entropy": 3.864118957519531,
|
| 14 |
+
"epoch": 0.028785261945883708,
|
| 15 |
+
"grad_norm": 2.7545533180236816,
|
| 16 |
+
"learning_rate": 9.800000000000001e-06,
|
| 17 |
+
"loss": 15.2997,
|
| 18 |
+
"mean_token_accuracy": 0.10086015284061432,
|
| 19 |
+
"num_tokens": 47319.0,
|
| 20 |
+
"step": 50
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"entropy": 4.047076859474182,
|
| 24 |
+
"epoch": 0.057570523891767415,
|
| 25 |
+
"grad_norm": 5.0328264236450195,
|
| 26 |
+
"learning_rate": 1.98e-05,
|
| 27 |
+
"loss": 15.3264,
|
| 28 |
+
"mean_token_accuracy": 0.09582207053899765,
|
| 29 |
+
"num_tokens": 96809.0,
|
| 30 |
+
"step": 100
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"entropy": 4.7578076648712155,
|
| 34 |
+
"epoch": 0.08635578583765112,
|
| 35 |
+
"grad_norm": 38.50589370727539,
|
| 36 |
+
"learning_rate": 1.988584740827024e-05,
|
| 37 |
+
"loss": 13.0056,
|
| 38 |
+
"mean_token_accuracy": 0.126854517608881,
|
| 39 |
+
"num_tokens": 139962.0,
|
| 40 |
+
"step": 150
|
| 41 |
+
},
|
| 42 |
+
{
|
| 43 |
+
"entropy": 6.80673882484436,
|
| 44 |
+
"epoch": 0.11514104778353483,
|
| 45 |
+
"grad_norm": 12.030129432678223,
|
| 46 |
+
"learning_rate": 1.97693651718113e-05,
|
| 47 |
+
"loss": 9.2822,
|
| 48 |
+
"mean_token_accuracy": 0.11084575355052947,
|
| 49 |
+
"num_tokens": 188029.0,
|
| 50 |
+
"step": 200
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"entropy": 7.177925786972046,
|
| 54 |
+
"epoch": 0.14392630972941853,
|
| 55 |
+
"grad_norm": 4.852536201477051,
|
| 56 |
+
"learning_rate": 1.965288293535236e-05,
|
| 57 |
+
"loss": 7.6333,
|
| 58 |
+
"mean_token_accuracy": 0.12398939326405525,
|
| 59 |
+
"num_tokens": 234425.0,
|
| 60 |
+
"step": 250
|
| 61 |
+
},
|
| 62 |
+
{
|
| 63 |
+
"entropy": 7.080496473312378,
|
| 64 |
+
"epoch": 0.17271157167530224,
|
| 65 |
+
"grad_norm": 4.10841178894043,
|
| 66 |
+
"learning_rate": 1.9536400698893422e-05,
|
| 67 |
+
"loss": 7.1632,
|
| 68 |
+
"mean_token_accuracy": 0.13563686355948448,
|
| 69 |
+
"num_tokens": 278885.0,
|
| 70 |
+
"step": 300
|
| 71 |
+
},
|
| 72 |
+
{
|
| 73 |
+
"entropy": 6.931579580307007,
|
| 74 |
+
"epoch": 0.20149683362118595,
|
| 75 |
+
"grad_norm": 14.636048316955566,
|
| 76 |
+
"learning_rate": 1.941991846243448e-05,
|
| 77 |
+
"loss": 6.8213,
|
| 78 |
+
"mean_token_accuracy": 0.16459846690297128,
|
| 79 |
+
"num_tokens": 325491.0,
|
| 80 |
+
"step": 350
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"entropy": 6.853660764694214,
|
| 84 |
+
"epoch": 0.23028209556706966,
|
| 85 |
+
"grad_norm": 5.966708183288574,
|
| 86 |
+
"learning_rate": 1.930343622597554e-05,
|
| 87 |
+
"loss": 6.6625,
|
| 88 |
+
"mean_token_accuracy": 0.17670693069696428,
|
| 89 |
+
"num_tokens": 372913.0,
|
| 90 |
+
"step": 400
|
| 91 |
+
},
|
| 92 |
+
{
|
| 93 |
+
"entropy": 6.684267387390137,
|
| 94 |
+
"epoch": 0.25906735751295334,
|
| 95 |
+
"grad_norm": 4.031010627746582,
|
| 96 |
+
"learning_rate": 1.91869539895166e-05,
|
| 97 |
+
"loss": 6.4505,
|
| 98 |
+
"mean_token_accuracy": 0.1943434515595436,
|
| 99 |
+
"num_tokens": 419159.0,
|
| 100 |
+
"step": 450
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"entropy": 6.679989137649536,
|
| 104 |
+
"epoch": 0.28785261945883706,
|
| 105 |
+
"grad_norm": 6.251070022583008,
|
| 106 |
+
"learning_rate": 1.907047175305766e-05,
|
| 107 |
+
"loss": 6.4314,
|
| 108 |
+
"mean_token_accuracy": 0.19514557600021362,
|
| 109 |
+
"num_tokens": 466994.0,
|
| 110 |
+
"step": 500
|
| 111 |
+
},
|
| 112 |
+
{
|
| 113 |
+
"entropy": 6.477229623794556,
|
| 114 |
+
"epoch": 0.31663788140472077,
|
| 115 |
+
"grad_norm": 3.8656675815582275,
|
| 116 |
+
"learning_rate": 1.895398951659872e-05,
|
| 117 |
+
"loss": 6.2139,
|
| 118 |
+
"mean_token_accuracy": 0.21764743447303772,
|
| 119 |
+
"num_tokens": 513308.0,
|
| 120 |
+
"step": 550
|
| 121 |
+
},
|
| 122 |
+
{
|
| 123 |
+
"entropy": 6.408129243850708,
|
| 124 |
+
"epoch": 0.3454231433506045,
|
| 125 |
+
"grad_norm": 8.688581466674805,
|
| 126 |
+
"learning_rate": 1.883750728013978e-05,
|
| 127 |
+
"loss": 6.1224,
|
| 128 |
+
"mean_token_accuracy": 0.23438037544488907,
|
| 129 |
+
"num_tokens": 559679.0,
|
| 130 |
+
"step": 600
|
| 131 |
+
},
|
| 132 |
+
{
|
| 133 |
+
"entropy": 6.128518767356873,
|
| 134 |
+
"epoch": 0.3742084052964882,
|
| 135 |
+
"grad_norm": 5.419503688812256,
|
| 136 |
+
"learning_rate": 1.872102504368084e-05,
|
| 137 |
+
"loss": 5.8692,
|
| 138 |
+
"mean_token_accuracy": 0.26634690463542937,
|
| 139 |
+
"num_tokens": 603140.0,
|
| 140 |
+
"step": 650
|
| 141 |
+
},
|
| 142 |
+
{
|
| 143 |
+
"entropy": 6.322700729370117,
|
| 144 |
+
"epoch": 0.4029936672423719,
|
| 145 |
+
"grad_norm": 2.2213082313537598,
|
| 146 |
+
"learning_rate": 1.86045428072219e-05,
|
| 147 |
+
"loss": 6.0717,
|
| 148 |
+
"mean_token_accuracy": 0.24038562417030335,
|
| 149 |
+
"num_tokens": 650179.0,
|
| 150 |
+
"step": 700
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"entropy": 6.236415157318115,
|
| 154 |
+
"epoch": 0.4317789291882556,
|
| 155 |
+
"grad_norm": 4.804980278015137,
|
| 156 |
+
"learning_rate": 1.848806057076296e-05,
|
| 157 |
+
"loss": 5.9986,
|
| 158 |
+
"mean_token_accuracy": 0.24596781462430953,
|
| 159 |
+
"num_tokens": 696220.0,
|
| 160 |
+
"step": 750
|
| 161 |
+
},
|
| 162 |
+
{
|
| 163 |
+
"entropy": 6.269758443832398,
|
| 164 |
+
"epoch": 0.4605641911341393,
|
| 165 |
+
"grad_norm": 2.2888853549957275,
|
| 166 |
+
"learning_rate": 1.837157833430402e-05,
|
| 167 |
+
"loss": 6.0385,
|
| 168 |
+
"mean_token_accuracy": 0.24074893474578857,
|
| 169 |
+
"num_tokens": 743909.0,
|
| 170 |
+
"step": 800
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"entropy": 6.270364007949829,
|
| 174 |
+
"epoch": 0.48934945308002303,
|
| 175 |
+
"grad_norm": 3.0903279781341553,
|
| 176 |
+
"learning_rate": 1.825509609784508e-05,
|
| 177 |
+
"loss": 6.0481,
|
| 178 |
+
"mean_token_accuracy": 0.23740622967481614,
|
| 179 |
+
"num_tokens": 792015.0,
|
| 180 |
+
"step": 850
|
| 181 |
+
},
|
| 182 |
+
{
|
| 183 |
+
"entropy": 6.3037636184692385,
|
| 184 |
+
"epoch": 0.5181347150259067,
|
| 185 |
+
"grad_norm": 3.969320058822632,
|
| 186 |
+
"learning_rate": 1.813861386138614e-05,
|
| 187 |
+
"loss": 6.0855,
|
| 188 |
+
"mean_token_accuracy": 0.2309597587585449,
|
| 189 |
+
"num_tokens": 841802.0,
|
| 190 |
+
"step": 900
|
| 191 |
+
},
|
| 192 |
+
{
|
| 193 |
+
"entropy": 6.038041458129883,
|
| 194 |
+
"epoch": 0.5469199769717904,
|
| 195 |
+
"grad_norm": 2.2712185382843018,
|
| 196 |
+
"learning_rate": 1.80221316249272e-05,
|
| 197 |
+
"loss": 5.8285,
|
| 198 |
+
"mean_token_accuracy": 0.26099125802516937,
|
| 199 |
+
"num_tokens": 886492.0,
|
| 200 |
+
"step": 950
|
| 201 |
+
},
|
| 202 |
+
{
|
| 203 |
+
"entropy": 6.142958383560181,
|
| 204 |
+
"epoch": 0.5757052389176741,
|
| 205 |
+
"grad_norm": 1.2311755418777466,
|
| 206 |
+
"learning_rate": 1.790564938846826e-05,
|
| 207 |
+
"loss": 5.9357,
|
| 208 |
+
"mean_token_accuracy": 0.24810438305139543,
|
| 209 |
+
"num_tokens": 932807.0,
|
| 210 |
+
"step": 1000
|
| 211 |
+
},
|
| 212 |
+
{
|
| 213 |
+
"entropy": 6.199834351539612,
|
| 214 |
+
"epoch": 0.6044905008635578,
|
| 215 |
+
"grad_norm": 2.2788379192352295,
|
| 216 |
+
"learning_rate": 1.7789167152009318e-05,
|
| 217 |
+
"loss": 5.9964,
|
| 218 |
+
"mean_token_accuracy": 0.23942562609910964,
|
| 219 |
+
"num_tokens": 980541.0,
|
| 220 |
+
"step": 1050
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"entropy": 5.961639919281006,
|
| 224 |
+
"epoch": 0.6332757628094415,
|
| 225 |
+
"grad_norm": 1.9077532291412354,
|
| 226 |
+
"learning_rate": 1.767268491555038e-05,
|
| 227 |
+
"loss": 5.7664,
|
| 228 |
+
"mean_token_accuracy": 0.26718012750148773,
|
| 229 |
+
"num_tokens": 1023882.0,
|
| 230 |
+
"step": 1100
|
| 231 |
+
},
|
| 232 |
+
{
|
| 233 |
+
"entropy": 5.889280087947846,
|
| 234 |
+
"epoch": 0.6620610247553252,
|
| 235 |
+
"grad_norm": 2.4254891872406006,
|
| 236 |
+
"learning_rate": 1.7556202679091442e-05,
|
| 237 |
+
"loss": 5.6952,
|
| 238 |
+
"mean_token_accuracy": 0.27529804170131683,
|
| 239 |
+
"num_tokens": 1068300.0,
|
| 240 |
+
"step": 1150
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"entropy": 6.085640063285828,
|
| 244 |
+
"epoch": 0.690846286701209,
|
| 245 |
+
"grad_norm": 2.35312557220459,
|
| 246 |
+
"learning_rate": 1.74397204426325e-05,
|
| 247 |
+
"loss": 5.8898,
|
| 248 |
+
"mean_token_accuracy": 0.25166562348604204,
|
| 249 |
+
"num_tokens": 1115425.0,
|
| 250 |
+
"step": 1200
|
| 251 |
+
},
|
| 252 |
+
{
|
| 253 |
+
"entropy": 6.146574058532715,
|
| 254 |
+
"epoch": 0.7196315486470927,
|
| 255 |
+
"grad_norm": 1.7730146646499634,
|
| 256 |
+
"learning_rate": 1.732323820617356e-05,
|
| 257 |
+
"loss": 5.9519,
|
| 258 |
+
"mean_token_accuracy": 0.24276195973157882,
|
| 259 |
+
"num_tokens": 1162319.0,
|
| 260 |
+
"step": 1250
|
| 261 |
+
},
|
| 262 |
+
{
|
| 263 |
+
"entropy": 6.079372715950012,
|
| 264 |
+
"epoch": 0.7484168105929764,
|
| 265 |
+
"grad_norm": 1.7070863246917725,
|
| 266 |
+
"learning_rate": 1.720675596971462e-05,
|
| 267 |
+
"loss": 5.8922,
|
| 268 |
+
"mean_token_accuracy": 0.24961524546146394,
|
| 269 |
+
"num_tokens": 1208230.0,
|
| 270 |
+
"step": 1300
|
| 271 |
+
},
|
| 272 |
+
{
|
| 273 |
+
"entropy": 5.9683656406402585,
|
| 274 |
+
"epoch": 0.7772020725388601,
|
| 275 |
+
"grad_norm": 1.8790594339370728,
|
| 276 |
+
"learning_rate": 1.709027373325568e-05,
|
| 277 |
+
"loss": 5.7827,
|
| 278 |
+
"mean_token_accuracy": 0.2632122594118118,
|
| 279 |
+
"num_tokens": 1253074.0,
|
| 280 |
+
"step": 1350
|
| 281 |
+
},
|
| 282 |
+
{
|
| 283 |
+
"entropy": 6.107076721191406,
|
| 284 |
+
"epoch": 0.8059873344847438,
|
| 285 |
+
"grad_norm": 1.1745644807815552,
|
| 286 |
+
"learning_rate": 1.6973791496796742e-05,
|
| 287 |
+
"loss": 5.9211,
|
| 288 |
+
"mean_token_accuracy": 0.24564073830842972,
|
| 289 |
+
"num_tokens": 1300179.0,
|
| 290 |
+
"step": 1400
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"entropy": 6.141328382492065,
|
| 294 |
+
"epoch": 0.8347725964306275,
|
| 295 |
+
"grad_norm": 1.0346958637237549,
|
| 296 |
+
"learning_rate": 1.68573092603378e-05,
|
| 297 |
+
"loss": 5.9584,
|
| 298 |
+
"mean_token_accuracy": 0.23997059136629104,
|
| 299 |
+
"num_tokens": 1347539.0,
|
| 300 |
+
"step": 1450
|
| 301 |
+
},
|
| 302 |
+
{
|
| 303 |
+
"entropy": 6.070010099411011,
|
| 304 |
+
"epoch": 0.8635578583765112,
|
| 305 |
+
"grad_norm": 1.6541163921356201,
|
| 306 |
+
"learning_rate": 1.674082702387886e-05,
|
| 307 |
+
"loss": 5.889,
|
| 308 |
+
"mean_token_accuracy": 0.24875166177749633,
|
| 309 |
+
"num_tokens": 1394157.0,
|
| 310 |
+
"step": 1500
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"entropy": 6.207450666427612,
|
| 314 |
+
"epoch": 0.8923431203223949,
|
| 315 |
+
"grad_norm": 0.9742990732192993,
|
| 316 |
+
"learning_rate": 1.662434478741992e-05,
|
| 317 |
+
"loss": 6.0217,
|
| 318 |
+
"mean_token_accuracy": 0.23067249596118927,
|
| 319 |
+
"num_tokens": 1443892.0,
|
| 320 |
+
"step": 1550
|
| 321 |
+
},
|
| 322 |
+
{
|
| 323 |
+
"entropy": 6.026197805404663,
|
| 324 |
+
"epoch": 0.9211283822682786,
|
| 325 |
+
"grad_norm": 1.4229531288146973,
|
| 326 |
+
"learning_rate": 1.650786255096098e-05,
|
| 327 |
+
"loss": 5.8455,
|
| 328 |
+
"mean_token_accuracy": 0.2537291014194489,
|
| 329 |
+
"num_tokens": 1491050.0,
|
| 330 |
+
"step": 1600
|
| 331 |
+
},
|
| 332 |
+
{
|
| 333 |
+
"entropy": 6.210526428222656,
|
| 334 |
+
"epoch": 0.9499136442141624,
|
| 335 |
+
"grad_norm": 1.3555018901824951,
|
| 336 |
+
"learning_rate": 1.6391380314502038e-05,
|
| 337 |
+
"loss": 6.0279,
|
| 338 |
+
"mean_token_accuracy": 0.2308420208096504,
|
| 339 |
+
"num_tokens": 1540809.0,
|
| 340 |
+
"step": 1650
|
| 341 |
+
},
|
| 342 |
+
{
|
| 343 |
+
"entropy": 5.9872834014892575,
|
| 344 |
+
"epoch": 0.9786989061600461,
|
| 345 |
+
"grad_norm": 0.9893498420715332,
|
| 346 |
+
"learning_rate": 1.62748980780431e-05,
|
| 347 |
+
"loss": 5.8137,
|
| 348 |
+
"mean_token_accuracy": 0.2566875320672989,
|
| 349 |
+
"num_tokens": 1585876.0,
|
| 350 |
+
"step": 1700
|
| 351 |
+
},
|
| 352 |
+
{
|
| 353 |
+
"epoch": 1.0,
|
| 354 |
+
"eval_entropy": 6.322207130045386,
|
| 355 |
+
"eval_loss": 6.15173864364624,
|
| 356 |
+
"eval_mean_token_accuracy": 0.21116007946877985,
|
| 357 |
+
"eval_model_preparation_time": 0.0036,
|
| 358 |
+
"eval_num_tokens": 1619719.0,
|
| 359 |
+
"eval_runtime": 76.1297,
|
| 360 |
+
"eval_samples_per_second": 5.701,
|
| 361 |
+
"eval_steps_per_second": 2.85,
|
| 362 |
+
"step": 1737
|
| 363 |
+
},
|
| 364 |
+
{
|
| 365 |
+
"entropy": 6.038531675338745,
|
| 366 |
+
"epoch": 1.0074841681059297,
|
| 367 |
+
"grad_norm": 0.8715208172798157,
|
| 368 |
+
"learning_rate": 1.615841584158416e-05,
|
| 369 |
+
"loss": 5.8628,
|
| 370 |
+
"mean_token_accuracy": 0.2510762655735016,
|
| 371 |
+
"num_tokens": 1632015.0,
|
| 372 |
+
"step": 1750
|
| 373 |
+
},
|
| 374 |
+
{
|
| 375 |
+
"entropy": 6.164030771255494,
|
| 376 |
+
"epoch": 1.0362694300518134,
|
| 377 |
+
"grad_norm": 0.7344900965690613,
|
| 378 |
+
"learning_rate": 1.604193360512522e-05,
|
| 379 |
+
"loss": 5.9856,
|
| 380 |
+
"mean_token_accuracy": 0.2351543301343918,
|
| 381 |
+
"num_tokens": 1681154.0,
|
| 382 |
+
"step": 1800
|
| 383 |
+
},
|
| 384 |
+
{
|
| 385 |
+
"entropy": 6.0731862354278565,
|
| 386 |
+
"epoch": 1.065054691997697,
|
| 387 |
+
"grad_norm": 1.0801328420639038,
|
| 388 |
+
"learning_rate": 1.592545136866628e-05,
|
| 389 |
+
"loss": 5.8976,
|
| 390 |
+
"mean_token_accuracy": 0.24701615989208223,
|
| 391 |
+
"num_tokens": 1728110.0,
|
| 392 |
+
"step": 1850
|
| 393 |
+
},
|
| 394 |
+
{
|
| 395 |
+
"entropy": 6.079212121963501,
|
| 396 |
+
"epoch": 1.0938399539435808,
|
| 397 |
+
"grad_norm": 0.7876909375190735,
|
| 398 |
+
"learning_rate": 1.5808969132207338e-05,
|
| 399 |
+
"loss": 5.9056,
|
| 400 |
+
"mean_token_accuracy": 0.24457543224096298,
|
| 401 |
+
"num_tokens": 1775703.0,
|
| 402 |
+
"step": 1900
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"entropy": 6.062467746734619,
|
| 406 |
+
"epoch": 1.1226252158894645,
|
| 407 |
+
"grad_norm": 0.5999078750610352,
|
| 408 |
+
"learning_rate": 1.56924868957484e-05,
|
| 409 |
+
"loss": 5.8899,
|
| 410 |
+
"mean_token_accuracy": 0.2469428673386574,
|
| 411 |
+
"num_tokens": 1821980.0,
|
| 412 |
+
"step": 1950
|
| 413 |
+
},
|
| 414 |
+
{
|
| 415 |
+
"entropy": 6.031774473190308,
|
| 416 |
+
"epoch": 1.1514104778353482,
|
| 417 |
+
"grad_norm": 1.6313235759735107,
|
| 418 |
+
"learning_rate": 1.557600465928946e-05,
|
| 419 |
+
"loss": 5.8593,
|
| 420 |
+
"mean_token_accuracy": 0.250918984413147,
|
| 421 |
+
"num_tokens": 1867547.0,
|
| 422 |
+
"step": 2000
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"entropy": 6.122789564132691,
|
| 426 |
+
"epoch": 1.180195739781232,
|
| 427 |
+
"grad_norm": 2.562373161315918,
|
| 428 |
+
"learning_rate": 1.545952242283052e-05,
|
| 429 |
+
"loss": 5.9502,
|
| 430 |
+
"mean_token_accuracy": 0.23938885867595672,
|
| 431 |
+
"num_tokens": 1915411.0,
|
| 432 |
+
"step": 2050
|
| 433 |
+
},
|
| 434 |
+
{
|
| 435 |
+
"entropy": 6.067130417823791,
|
| 436 |
+
"epoch": 1.2089810017271156,
|
| 437 |
+
"grad_norm": 0.9762872457504272,
|
| 438 |
+
"learning_rate": 1.534304018637158e-05,
|
| 439 |
+
"loss": 5.8956,
|
| 440 |
+
"mean_token_accuracy": 0.2454381173849106,
|
| 441 |
+
"num_tokens": 1964009.0,
|
| 442 |
+
"step": 2100
|
| 443 |
+
},
|
| 444 |
+
{
|
| 445 |
+
"entropy": 5.9613511180877685,
|
| 446 |
+
"epoch": 1.2377662636729994,
|
| 447 |
+
"grad_norm": 0.8701547384262085,
|
| 448 |
+
"learning_rate": 1.5226557949912639e-05,
|
| 449 |
+
"loss": 5.7907,
|
| 450 |
+
"mean_token_accuracy": 0.25976367652416227,
|
| 451 |
+
"num_tokens": 2008595.0,
|
| 452 |
+
"step": 2150
|
| 453 |
+
},
|
| 454 |
+
{
|
| 455 |
+
"entropy": 6.13505428314209,
|
| 456 |
+
"epoch": 1.266551525618883,
|
| 457 |
+
"grad_norm": 0.8511647582054138,
|
| 458 |
+
"learning_rate": 1.51100757134537e-05,
|
| 459 |
+
"loss": 5.9619,
|
| 460 |
+
"mean_token_accuracy": 0.23760781466960906,
|
| 461 |
+
"num_tokens": 2057229.0,
|
| 462 |
+
"step": 2200
|
| 463 |
+
},
|
| 464 |
+
{
|
| 465 |
+
"entropy": 6.025254983901977,
|
| 466 |
+
"epoch": 1.2953367875647668,
|
| 467 |
+
"grad_norm": 0.7627406120300293,
|
| 468 |
+
"learning_rate": 1.4993593476994758e-05,
|
| 469 |
+
"loss": 5.8546,
|
| 470 |
+
"mean_token_accuracy": 0.2508662334084511,
|
| 471 |
+
"num_tokens": 2103631.0,
|
| 472 |
+
"step": 2250
|
| 473 |
+
},
|
| 474 |
+
{
|
| 475 |
+
"entropy": 5.981974196434021,
|
| 476 |
+
"epoch": 1.3241220495106505,
|
| 477 |
+
"grad_norm": 1.6922173500061035,
|
| 478 |
+
"learning_rate": 1.4877111240535819e-05,
|
| 479 |
+
"loss": 5.8119,
|
| 480 |
+
"mean_token_accuracy": 0.256170334815979,
|
| 481 |
+
"num_tokens": 2150369.0,
|
| 482 |
+
"step": 2300
|
| 483 |
+
},
|
| 484 |
+
{
|
| 485 |
+
"entropy": 6.19903904914856,
|
| 486 |
+
"epoch": 1.3529073114565342,
|
| 487 |
+
"grad_norm": 0.40436601638793945,
|
| 488 |
+
"learning_rate": 1.4760629004076878e-05,
|
| 489 |
+
"loss": 6.0244,
|
| 490 |
+
"mean_token_accuracy": 0.22900927513837815,
|
| 491 |
+
"num_tokens": 2199724.0,
|
| 492 |
+
"step": 2350
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"entropy": 5.986697297096253,
|
| 496 |
+
"epoch": 1.381692573402418,
|
| 497 |
+
"grad_norm": 0.8481882214546204,
|
| 498 |
+
"learning_rate": 1.464414676761794e-05,
|
| 499 |
+
"loss": 5.8195,
|
| 500 |
+
"mean_token_accuracy": 0.2552035376429558,
|
| 501 |
+
"num_tokens": 2245341.0,
|
| 502 |
+
"step": 2400
|
| 503 |
+
},
|
| 504 |
+
{
|
| 505 |
+
"entropy": 6.1886044692993165,
|
| 506 |
+
"epoch": 1.4104778353483016,
|
| 507 |
+
"grad_norm": 0.7911505103111267,
|
| 508 |
+
"learning_rate": 1.4527664531159e-05,
|
| 509 |
+
"loss": 6.0148,
|
| 510 |
+
"mean_token_accuracy": 0.23026730984449387,
|
| 511 |
+
"num_tokens": 2294726.0,
|
| 512 |
+
"step": 2450
|
| 513 |
+
},
|
| 514 |
+
{
|
| 515 |
+
"entropy": 5.974867792129516,
|
| 516 |
+
"epoch": 1.4392630972941853,
|
| 517 |
+
"grad_norm": 1.640499234199524,
|
| 518 |
+
"learning_rate": 1.441118229470006e-05,
|
| 519 |
+
"loss": 5.8111,
|
| 520 |
+
"mean_token_accuracy": 0.2554209426045418,
|
| 521 |
+
"num_tokens": 2342251.0,
|
| 522 |
+
"step": 2500
|
| 523 |
+
},
|
| 524 |
+
{
|
| 525 |
+
"entropy": 5.967635660171509,
|
| 526 |
+
"epoch": 1.468048359240069,
|
| 527 |
+
"grad_norm": 0.8022929430007935,
|
| 528 |
+
"learning_rate": 1.429470005824112e-05,
|
| 529 |
+
"loss": 5.8015,
|
| 530 |
+
"mean_token_accuracy": 0.2569852137565613,
|
| 531 |
+
"num_tokens": 2387469.0,
|
| 532 |
+
"step": 2550
|
| 533 |
+
},
|
| 534 |
+
{
|
| 535 |
+
"entropy": 6.047262029647827,
|
| 536 |
+
"epoch": 1.4968336211859528,
|
| 537 |
+
"grad_norm": 0.9270678758621216,
|
| 538 |
+
"learning_rate": 1.417821782178218e-05,
|
| 539 |
+
"loss": 5.8782,
|
| 540 |
+
"mean_token_accuracy": 0.2467849862575531,
|
| 541 |
+
"num_tokens": 2434128.0,
|
| 542 |
+
"step": 2600
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"entropy": 6.00601068019867,
|
| 546 |
+
"epoch": 1.5256188831318365,
|
| 547 |
+
"grad_norm": 1.5378597974777222,
|
| 548 |
+
"learning_rate": 1.406173558532324e-05,
|
| 549 |
+
"loss": 5.839,
|
| 550 |
+
"mean_token_accuracy": 0.25216978013515473,
|
| 551 |
+
"num_tokens": 2480366.0,
|
| 552 |
+
"step": 2650
|
| 553 |
+
},
|
| 554 |
+
{
|
| 555 |
+
"entropy": 5.988714299201965,
|
| 556 |
+
"epoch": 1.5544041450777202,
|
| 557 |
+
"grad_norm": 0.819143533706665,
|
| 558 |
+
"learning_rate": 1.3945253348864299e-05,
|
| 559 |
+
"loss": 5.82,
|
| 560 |
+
"mean_token_accuracy": 0.254311783015728,
|
| 561 |
+
"num_tokens": 2527357.0,
|
| 562 |
+
"step": 2700
|
| 563 |
+
},
|
| 564 |
+
{
|
| 565 |
+
"entropy": 5.960293846130371,
|
| 566 |
+
"epoch": 1.583189407023604,
|
| 567 |
+
"grad_norm": 0.8920449614524841,
|
| 568 |
+
"learning_rate": 1.382877111240536e-05,
|
| 569 |
+
"loss": 5.7946,
|
| 570 |
+
"mean_token_accuracy": 0.25750755161046984,
|
| 571 |
+
"num_tokens": 2574470.0,
|
| 572 |
+
"step": 2750
|
| 573 |
+
},
|
| 574 |
+
{
|
| 575 |
+
"entropy": 6.1214879322052,
|
| 576 |
+
"epoch": 1.6119746689694876,
|
| 577 |
+
"grad_norm": 0.5333890914916992,
|
| 578 |
+
"learning_rate": 1.371228887594642e-05,
|
| 579 |
+
"loss": 5.9513,
|
| 580 |
+
"mean_token_accuracy": 0.2377367687225342,
|
| 581 |
+
"num_tokens": 2622280.0,
|
| 582 |
+
"step": 2800
|
| 583 |
+
},
|
| 584 |
+
{
|
| 585 |
+
"entropy": 5.951769871711731,
|
| 586 |
+
"epoch": 1.6407599309153713,
|
| 587 |
+
"grad_norm": 0.5994665026664734,
|
| 588 |
+
"learning_rate": 1.3595806639487479e-05,
|
| 589 |
+
"loss": 5.7861,
|
| 590 |
+
"mean_token_accuracy": 0.25854207515716554,
|
| 591 |
+
"num_tokens": 2668624.0,
|
| 592 |
+
"step": 2850
|
| 593 |
+
},
|
| 594 |
+
{
|
| 595 |
+
"entropy": 5.927765312194825,
|
| 596 |
+
"epoch": 1.669545192861255,
|
| 597 |
+
"grad_norm": 0.4460087716579437,
|
| 598 |
+
"learning_rate": 1.347932440302854e-05,
|
| 599 |
+
"loss": 5.7661,
|
| 600 |
+
"mean_token_accuracy": 0.25973255425691605,
|
| 601 |
+
"num_tokens": 2714388.0,
|
| 602 |
+
"step": 2900
|
| 603 |
+
},
|
| 604 |
+
{
|
| 605 |
+
"entropy": 6.097678365707398,
|
| 606 |
+
"epoch": 1.6983304548071387,
|
| 607 |
+
"grad_norm": 0.7125752568244934,
|
| 608 |
+
"learning_rate": 1.3362842166569598e-05,
|
| 609 |
+
"loss": 5.9284,
|
| 610 |
+
"mean_token_accuracy": 0.23995368272066117,
|
| 611 |
+
"num_tokens": 2761465.0,
|
| 612 |
+
"step": 2950
|
| 613 |
+
},
|
| 614 |
+
{
|
| 615 |
+
"entropy": 5.986212658882141,
|
| 616 |
+
"epoch": 1.7271157167530224,
|
| 617 |
+
"grad_norm": 1.5405049324035645,
|
| 618 |
+
"learning_rate": 1.3246359930110659e-05,
|
| 619 |
+
"loss": 5.8194,
|
| 620 |
+
"mean_token_accuracy": 0.25333445996046067,
|
| 621 |
+
"num_tokens": 2808066.0,
|
| 622 |
+
"step": 3000
|
| 623 |
+
},
|
| 624 |
+
{
|
| 625 |
+
"entropy": 5.7968806195259095,
|
| 626 |
+
"epoch": 1.7559009786989062,
|
| 627 |
+
"grad_norm": 0.4532749652862549,
|
| 628 |
+
"learning_rate": 1.312987769365172e-05,
|
| 629 |
+
"loss": 5.6344,
|
| 630 |
+
"mean_token_accuracy": 0.2782411390542984,
|
| 631 |
+
"num_tokens": 2851822.0,
|
| 632 |
+
"step": 3050
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"entropy": 5.973708114624023,
|
| 636 |
+
"epoch": 1.7846862406447899,
|
| 637 |
+
"grad_norm": 1.4795438051223755,
|
| 638 |
+
"learning_rate": 1.3013395457192778e-05,
|
| 639 |
+
"loss": 5.8104,
|
| 640 |
+
"mean_token_accuracy": 0.25441971331834795,
|
| 641 |
+
"num_tokens": 2897737.0,
|
| 642 |
+
"step": 3100
|
| 643 |
+
},
|
| 644 |
+
{
|
| 645 |
+
"entropy": 5.70733567237854,
|
| 646 |
+
"epoch": 1.8134715025906736,
|
| 647 |
+
"grad_norm": 0.6216577887535095,
|
| 648 |
+
"learning_rate": 1.2896913220733839e-05,
|
| 649 |
+
"loss": 5.5523,
|
| 650 |
+
"mean_token_accuracy": 0.28787180870771406,
|
| 651 |
+
"num_tokens": 2939511.0,
|
| 652 |
+
"step": 3150
|
| 653 |
+
},
|
| 654 |
+
{
|
| 655 |
+
"entropy": 5.96826630115509,
|
| 656 |
+
"epoch": 1.8422567645365573,
|
| 657 |
+
"grad_norm": 0.9246350526809692,
|
| 658 |
+
"learning_rate": 1.2780430984274898e-05,
|
| 659 |
+
"loss": 5.8057,
|
| 660 |
+
"mean_token_accuracy": 0.25464902341365814,
|
| 661 |
+
"num_tokens": 2986368.0,
|
| 662 |
+
"step": 3200
|
| 663 |
+
},
|
| 664 |
+
{
|
| 665 |
+
"entropy": 5.950662693977356,
|
| 666 |
+
"epoch": 1.871042026482441,
|
| 667 |
+
"grad_norm": 0.8141199946403503,
|
| 668 |
+
"learning_rate": 1.266394874781596e-05,
|
| 669 |
+
"loss": 5.7886,
|
| 670 |
+
"mean_token_accuracy": 0.25830793648958206,
|
| 671 |
+
"num_tokens": 3031770.0,
|
| 672 |
+
"step": 3250
|
| 673 |
+
},
|
| 674 |
+
{
|
| 675 |
+
"entropy": 6.00512773513794,
|
| 676 |
+
"epoch": 1.8998272884283247,
|
| 677 |
+
"grad_norm": 0.4913998246192932,
|
| 678 |
+
"learning_rate": 1.2547466511357018e-05,
|
| 679 |
+
"loss": 5.838,
|
| 680 |
+
"mean_token_accuracy": 0.2512077575922012,
|
| 681 |
+
"num_tokens": 3078322.0,
|
| 682 |
+
"step": 3300
|
| 683 |
+
},
|
| 684 |
+
{
|
| 685 |
+
"entropy": 6.090880632400513,
|
| 686 |
+
"epoch": 1.9286125503742084,
|
| 687 |
+
"grad_norm": 0.9893012046813965,
|
| 688 |
+
"learning_rate": 1.243098427489808e-05,
|
| 689 |
+
"loss": 5.9264,
|
| 690 |
+
"mean_token_accuracy": 0.2391783133149147,
|
| 691 |
+
"num_tokens": 3125572.0,
|
| 692 |
+
"step": 3350
|
| 693 |
+
},
|
| 694 |
+
{
|
| 695 |
+
"entropy": 5.949693293571472,
|
| 696 |
+
"epoch": 1.9573978123200921,
|
| 697 |
+
"grad_norm": 0.5794200301170349,
|
| 698 |
+
"learning_rate": 1.231450203843914e-05,
|
| 699 |
+
"loss": 5.7861,
|
| 700 |
+
"mean_token_accuracy": 0.2568664598464966,
|
| 701 |
+
"num_tokens": 3171974.0,
|
| 702 |
+
"step": 3400
|
| 703 |
+
},
|
| 704 |
+
{
|
| 705 |
+
"entropy": 6.03591317653656,
|
| 706 |
+
"epoch": 1.9861830742659758,
|
| 707 |
+
"grad_norm": 0.8525373339653015,
|
| 708 |
+
"learning_rate": 1.21980198019802e-05,
|
| 709 |
+
"loss": 5.8741,
|
| 710 |
+
"mean_token_accuracy": 0.24642003327608109,
|
| 711 |
+
"num_tokens": 3219624.0,
|
| 712 |
+
"step": 3450
|
| 713 |
+
},
|
| 714 |
+
{
|
| 715 |
+
"epoch": 2.0,
|
| 716 |
+
"eval_entropy": 6.272298685416648,
|
| 717 |
+
"eval_loss": 6.12472677230835,
|
| 718 |
+
"eval_mean_token_accuracy": 0.21168697409091458,
|
| 719 |
+
"eval_model_preparation_time": 0.0036,
|
| 720 |
+
"eval_num_tokens": 3239438.0,
|
| 721 |
+
"eval_runtime": 76.2536,
|
| 722 |
+
"eval_samples_per_second": 5.692,
|
| 723 |
+
"eval_steps_per_second": 2.846,
|
| 724 |
+
"step": 3474
|
| 725 |
+
}
|
| 726 |
+
],
|
| 727 |
+
"logging_steps": 50,
|
| 728 |
+
"max_steps": 8685,
|
| 729 |
+
"num_input_tokens_seen": 0,
|
| 730 |
+
"num_train_epochs": 5,
|
| 731 |
+
"save_steps": 500,
|
| 732 |
+
"stateful_callbacks": {
|
| 733 |
+
"TrainerControl": {
|
| 734 |
+
"args": {
|
| 735 |
+
"should_epoch_stop": false,
|
| 736 |
+
"should_evaluate": false,
|
| 737 |
+
"should_log": false,
|
| 738 |
+
"should_save": true,
|
| 739 |
+
"should_training_stop": false
|
| 740 |
+
},
|
| 741 |
+
"attributes": {}
|
| 742 |
+
}
|
| 743 |
+
},
|
| 744 |
+
"total_flos": 4.529454004325376e+16,
|
| 745 |
+
"train_batch_size": 2,
|
| 746 |
+
"trial_name": null,
|
| 747 |
+
"trial_params": null
|
| 748 |
+
}
|
checkpoint-3474/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:130d33149272782bd60306263c371036419926142b8999aad7806359168f8484
|
| 3 |
+
size 6225
|
checkpoint-3474/vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-5211/README.md
ADDED
|
@@ -0,0 +1,209 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: ''
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:Qwen/Qwen2-VL-2B-Instruct
|
| 7 |
+
- lora
|
| 8 |
+
- sft
|
| 9 |
+
- transformers
|
| 10 |
+
- trl
|
| 11 |
+
---
|
| 12 |
+
|
| 13 |
+
# Model Card for Model ID
|
| 14 |
+
|
| 15 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 16 |
+
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
## Model Details
|
| 20 |
+
|
| 21 |
+
### Model Description
|
| 22 |
+
|
| 23 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 24 |
+
|
| 25 |
+
|
| 26 |
+
|
| 27 |
+
- **Developed by:** [More Information Needed]
|
| 28 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 29 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 30 |
+
- **Model type:** [More Information Needed]
|
| 31 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 32 |
+
- **License:** [More Information Needed]
|
| 33 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 34 |
+
|
| 35 |
+
### Model Sources [optional]
|
| 36 |
+
|
| 37 |
+
<!-- Provide the basic links for the model. -->
|
| 38 |
+
|
| 39 |
+
- **Repository:** [More Information Needed]
|
| 40 |
+
- **Paper [optional]:** [More Information Needed]
|
| 41 |
+
- **Demo [optional]:** [More Information Needed]
|
| 42 |
+
|
| 43 |
+
## Uses
|
| 44 |
+
|
| 45 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 46 |
+
|
| 47 |
+
### Direct Use
|
| 48 |
+
|
| 49 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 50 |
+
|
| 51 |
+
[More Information Needed]
|
| 52 |
+
|
| 53 |
+
### Downstream Use [optional]
|
| 54 |
+
|
| 55 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 56 |
+
|
| 57 |
+
[More Information Needed]
|
| 58 |
+
|
| 59 |
+
### Out-of-Scope Use
|
| 60 |
+
|
| 61 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 62 |
+
|
| 63 |
+
[More Information Needed]
|
| 64 |
+
|
| 65 |
+
## Bias, Risks, and Limitations
|
| 66 |
+
|
| 67 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 68 |
+
|
| 69 |
+
[More Information Needed]
|
| 70 |
+
|
| 71 |
+
### Recommendations
|
| 72 |
+
|
| 73 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 74 |
+
|
| 75 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 76 |
+
|
| 77 |
+
## How to Get Started with the Model
|
| 78 |
+
|
| 79 |
+
Use the code below to get started with the model.
|
| 80 |
+
|
| 81 |
+
[More Information Needed]
|
| 82 |
+
|
| 83 |
+
## Training Details
|
| 84 |
+
|
| 85 |
+
### Training Data
|
| 86 |
+
|
| 87 |
+
<!-- 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. -->
|
| 88 |
+
|
| 89 |
+
[More Information Needed]
|
| 90 |
+
|
| 91 |
+
### Training Procedure
|
| 92 |
+
|
| 93 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 94 |
+
|
| 95 |
+
#### Preprocessing [optional]
|
| 96 |
+
|
| 97 |
+
[More Information Needed]
|
| 98 |
+
|
| 99 |
+
|
| 100 |
+
#### Training Hyperparameters
|
| 101 |
+
|
| 102 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 103 |
+
|
| 104 |
+
#### Speeds, Sizes, Times [optional]
|
| 105 |
+
|
| 106 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 107 |
+
|
| 108 |
+
[More Information Needed]
|
| 109 |
+
|
| 110 |
+
## Evaluation
|
| 111 |
+
|
| 112 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 113 |
+
|
| 114 |
+
### Testing Data, Factors & Metrics
|
| 115 |
+
|
| 116 |
+
#### Testing Data
|
| 117 |
+
|
| 118 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 119 |
+
|
| 120 |
+
[More Information Needed]
|
| 121 |
+
|
| 122 |
+
#### Factors
|
| 123 |
+
|
| 124 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 125 |
+
|
| 126 |
+
[More Information Needed]
|
| 127 |
+
|
| 128 |
+
#### Metrics
|
| 129 |
+
|
| 130 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 131 |
+
|
| 132 |
+
[More Information Needed]
|
| 133 |
+
|
| 134 |
+
### Results
|
| 135 |
+
|
| 136 |
+
[More Information Needed]
|
| 137 |
+
|
| 138 |
+
#### Summary
|
| 139 |
+
|
| 140 |
+
|
| 141 |
+
|
| 142 |
+
## Model Examination [optional]
|
| 143 |
+
|
| 144 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 145 |
+
|
| 146 |
+
[More Information Needed]
|
| 147 |
+
|
| 148 |
+
## Environmental Impact
|
| 149 |
+
|
| 150 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 151 |
+
|
| 152 |
+
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).
|
| 153 |
+
|
| 154 |
+
- **Hardware Type:** [More Information Needed]
|
| 155 |
+
- **Hours used:** [More Information Needed]
|
| 156 |
+
- **Cloud Provider:** [More Information Needed]
|
| 157 |
+
- **Compute Region:** [More Information Needed]
|
| 158 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 159 |
+
|
| 160 |
+
## Technical Specifications [optional]
|
| 161 |
+
|
| 162 |
+
### Model Architecture and Objective
|
| 163 |
+
|
| 164 |
+
[More Information Needed]
|
| 165 |
+
|
| 166 |
+
### Compute Infrastructure
|
| 167 |
+
|
| 168 |
+
[More Information Needed]
|
| 169 |
+
|
| 170 |
+
#### Hardware
|
| 171 |
+
|
| 172 |
+
[More Information Needed]
|
| 173 |
+
|
| 174 |
+
#### Software
|
| 175 |
+
|
| 176 |
+
[More Information Needed]
|
| 177 |
+
|
| 178 |
+
## Citation [optional]
|
| 179 |
+
|
| 180 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 181 |
+
|
| 182 |
+
**BibTeX:**
|
| 183 |
+
|
| 184 |
+
[More Information Needed]
|
| 185 |
+
|
| 186 |
+
**APA:**
|
| 187 |
+
|
| 188 |
+
[More Information Needed]
|
| 189 |
+
|
| 190 |
+
## Glossary [optional]
|
| 191 |
+
|
| 192 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 193 |
+
|
| 194 |
+
[More Information Needed]
|
| 195 |
+
|
| 196 |
+
## More Information [optional]
|
| 197 |
+
|
| 198 |
+
[More Information Needed]
|
| 199 |
+
|
| 200 |
+
## Model Card Authors [optional]
|
| 201 |
+
|
| 202 |
+
[More Information Needed]
|
| 203 |
+
|
| 204 |
+
## Model Card Contact
|
| 205 |
+
|
| 206 |
+
[More Information Needed]
|
| 207 |
+
### Framework versions
|
| 208 |
+
|
| 209 |
+
- PEFT 0.18.0
|
checkpoint-5211/adapter_config.json
ADDED
|
@@ -0,0 +1,41 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
+
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "Qwen/Qwen2-VL-2B-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": false,
|
| 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": 16,
|
| 20 |
+
"lora_bias": false,
|
| 21 |
+
"lora_dropout": 0.1,
|
| 22 |
+
"megatron_config": null,
|
| 23 |
+
"megatron_core": "megatron.core",
|
| 24 |
+
"modules_to_save": null,
|
| 25 |
+
"peft_type": "LORA",
|
| 26 |
+
"peft_version": "0.18.0",
|
| 27 |
+
"qalora_group_size": 16,
|
| 28 |
+
"r": 8,
|
| 29 |
+
"rank_pattern": {},
|
| 30 |
+
"revision": null,
|
| 31 |
+
"target_modules": [
|
| 32 |
+
"q_proj",
|
| 33 |
+
"v_proj"
|
| 34 |
+
],
|
| 35 |
+
"target_parameters": null,
|
| 36 |
+
"task_type": "CAUSAL_LM",
|
| 37 |
+
"trainable_token_indices": null,
|
| 38 |
+
"use_dora": false,
|
| 39 |
+
"use_qalora": false,
|
| 40 |
+
"use_rslora": false
|
| 41 |
+
}
|
checkpoint-5211/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0e6a7b22d63fd8741b839353cbaab150c0bd5f07d663ad8884bd3b4af58a9cce
|
| 3 |
+
size 4374520
|
checkpoint-5211/added_tokens.json
ADDED
|
@@ -0,0 +1,16 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"<|box_end|>": 151649,
|
| 3 |
+
"<|box_start|>": 151648,
|
| 4 |
+
"<|endoftext|>": 151643,
|
| 5 |
+
"<|im_end|>": 151645,
|
| 6 |
+
"<|im_start|>": 151644,
|
| 7 |
+
"<|image_pad|>": 151655,
|
| 8 |
+
"<|object_ref_end|>": 151647,
|
| 9 |
+
"<|object_ref_start|>": 151646,
|
| 10 |
+
"<|quad_end|>": 151651,
|
| 11 |
+
"<|quad_start|>": 151650,
|
| 12 |
+
"<|video_pad|>": 151656,
|
| 13 |
+
"<|vision_end|>": 151653,
|
| 14 |
+
"<|vision_pad|>": 151654,
|
| 15 |
+
"<|vision_start|>": 151652
|
| 16 |
+
}
|
checkpoint-5211/chat_template.jinja
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system
|
| 2 |
+
You are a helpful assistant.<|im_end|>
|
| 3 |
+
{% endif %}<|im_start|>{{ message['role'] }}
|
| 4 |
+
{% if message['content'] is string %}{{ message['content'] }}<|im_end|>
|
| 5 |
+
{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>
|
| 6 |
+
{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant
|
| 7 |
+
{% endif %}
|
checkpoint-5211/merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-5211/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0d7235486f7f068a0b9991bde7ca0b6a16106923b1cca53549a5bb621f15d218
|
| 3 |
+
size 8783179
|
checkpoint-5211/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:43cbafcbad7a00736ad4867a9fc18293a08b0b3d13acacb84d30cd8449539e81
|
| 3 |
+
size 14645
|
checkpoint-5211/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c82e157712778db9a1270de44d6dd5d35b469dbf5b63767059cabfb507d50c8a
|
| 3 |
+
size 1465
|
checkpoint-5211/special_tokens_map.json
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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 |
+
"eos_token": {
|
| 18 |
+
"content": "<|im_end|>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
},
|
| 24 |
+
"pad_token": {
|
| 25 |
+
"content": "<|endoftext|>",
|
| 26 |
+
"lstrip": false,
|
| 27 |
+
"normalized": false,
|
| 28 |
+
"rstrip": false,
|
| 29 |
+
"single_word": false
|
| 30 |
+
}
|
| 31 |
+
}
|
checkpoint-5211/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f33787292af226c4a4842be48a0e614d9524e25dc248e48bb1af0593de5564f9
|
| 3 |
+
size 11420539
|
checkpoint-5211/tokenizer_config.json
ADDED
|
@@ -0,0 +1,143 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"added_tokens_decoder": {
|
| 4 |
+
"151643": {
|
| 5 |
+
"content": "<|endoftext|>",
|
| 6 |
+
"lstrip": false,
|
| 7 |
+
"normalized": false,
|
| 8 |
+
"rstrip": false,
|
| 9 |
+
"single_word": false,
|
| 10 |
+
"special": true
|
| 11 |
+
},
|
| 12 |
+
"151644": {
|
| 13 |
+
"content": "<|im_start|>",
|
| 14 |
+
"lstrip": false,
|
| 15 |
+
"normalized": false,
|
| 16 |
+
"rstrip": false,
|
| 17 |
+
"single_word": false,
|
| 18 |
+
"special": true
|
| 19 |
+
},
|
| 20 |
+
"151645": {
|
| 21 |
+
"content": "<|im_end|>",
|
| 22 |
+
"lstrip": false,
|
| 23 |
+
"normalized": false,
|
| 24 |
+
"rstrip": false,
|
| 25 |
+
"single_word": false,
|
| 26 |
+
"special": true
|
| 27 |
+
},
|
| 28 |
+
"151646": {
|
| 29 |
+
"content": "<|object_ref_start|>",
|
| 30 |
+
"lstrip": false,
|
| 31 |
+
"normalized": false,
|
| 32 |
+
"rstrip": false,
|
| 33 |
+
"single_word": false,
|
| 34 |
+
"special": true
|
| 35 |
+
},
|
| 36 |
+
"151647": {
|
| 37 |
+
"content": "<|object_ref_end|>",
|
| 38 |
+
"lstrip": false,
|
| 39 |
+
"normalized": false,
|
| 40 |
+
"rstrip": false,
|
| 41 |
+
"single_word": false,
|
| 42 |
+
"special": true
|
| 43 |
+
},
|
| 44 |
+
"151648": {
|
| 45 |
+
"content": "<|box_start|>",
|
| 46 |
+
"lstrip": false,
|
| 47 |
+
"normalized": false,
|
| 48 |
+
"rstrip": false,
|
| 49 |
+
"single_word": false,
|
| 50 |
+
"special": true
|
| 51 |
+
},
|
| 52 |
+
"151649": {
|
| 53 |
+
"content": "<|box_end|>",
|
| 54 |
+
"lstrip": false,
|
| 55 |
+
"normalized": false,
|
| 56 |
+
"rstrip": false,
|
| 57 |
+
"single_word": false,
|
| 58 |
+
"special": true
|
| 59 |
+
},
|
| 60 |
+
"151650": {
|
| 61 |
+
"content": "<|quad_start|>",
|
| 62 |
+
"lstrip": false,
|
| 63 |
+
"normalized": false,
|
| 64 |
+
"rstrip": false,
|
| 65 |
+
"single_word": false,
|
| 66 |
+
"special": true
|
| 67 |
+
},
|
| 68 |
+
"151651": {
|
| 69 |
+
"content": "<|quad_end|>",
|
| 70 |
+
"lstrip": false,
|
| 71 |
+
"normalized": false,
|
| 72 |
+
"rstrip": false,
|
| 73 |
+
"single_word": false,
|
| 74 |
+
"special": true
|
| 75 |
+
},
|
| 76 |
+
"151652": {
|
| 77 |
+
"content": "<|vision_start|>",
|
| 78 |
+
"lstrip": false,
|
| 79 |
+
"normalized": false,
|
| 80 |
+
"rstrip": false,
|
| 81 |
+
"single_word": false,
|
| 82 |
+
"special": true
|
| 83 |
+
},
|
| 84 |
+
"151653": {
|
| 85 |
+
"content": "<|vision_end|>",
|
| 86 |
+
"lstrip": false,
|
| 87 |
+
"normalized": false,
|
| 88 |
+
"rstrip": false,
|
| 89 |
+
"single_word": false,
|
| 90 |
+
"special": true
|
| 91 |
+
},
|
| 92 |
+
"151654": {
|
| 93 |
+
"content": "<|vision_pad|>",
|
| 94 |
+
"lstrip": false,
|
| 95 |
+
"normalized": false,
|
| 96 |
+
"rstrip": false,
|
| 97 |
+
"single_word": false,
|
| 98 |
+
"special": true
|
| 99 |
+
},
|
| 100 |
+
"151655": {
|
| 101 |
+
"content": "<|image_pad|>",
|
| 102 |
+
"lstrip": false,
|
| 103 |
+
"normalized": false,
|
| 104 |
+
"rstrip": false,
|
| 105 |
+
"single_word": false,
|
| 106 |
+
"special": true
|
| 107 |
+
},
|
| 108 |
+
"151656": {
|
| 109 |
+
"content": "<|video_pad|>",
|
| 110 |
+
"lstrip": false,
|
| 111 |
+
"normalized": false,
|
| 112 |
+
"rstrip": false,
|
| 113 |
+
"single_word": false,
|
| 114 |
+
"special": true
|
| 115 |
+
}
|
| 116 |
+
},
|
| 117 |
+
"additional_special_tokens": [
|
| 118 |
+
"<|im_start|>",
|
| 119 |
+
"<|im_end|>",
|
| 120 |
+
"<|object_ref_start|>",
|
| 121 |
+
"<|object_ref_end|>",
|
| 122 |
+
"<|box_start|>",
|
| 123 |
+
"<|box_end|>",
|
| 124 |
+
"<|quad_start|>",
|
| 125 |
+
"<|quad_end|>",
|
| 126 |
+
"<|vision_start|>",
|
| 127 |
+
"<|vision_end|>",
|
| 128 |
+
"<|vision_pad|>",
|
| 129 |
+
"<|image_pad|>",
|
| 130 |
+
"<|video_pad|>"
|
| 131 |
+
],
|
| 132 |
+
"bos_token": null,
|
| 133 |
+
"clean_up_tokenization_spaces": false,
|
| 134 |
+
"eos_token": "<|im_end|>",
|
| 135 |
+
"errors": "replace",
|
| 136 |
+
"extra_special_tokens": {},
|
| 137 |
+
"model_max_length": 32768,
|
| 138 |
+
"pad_token": "<|endoftext|>",
|
| 139 |
+
"padding_side": "right",
|
| 140 |
+
"split_special_tokens": false,
|
| 141 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 142 |
+
"unk_token": null
|
| 143 |
+
}
|
checkpoint-5211/trainer_state.json
ADDED
|
@@ -0,0 +1,1110 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": 5211,
|
| 3 |
+
"best_metric": 6.0980024337768555,
|
| 4 |
+
"best_model_checkpoint": "./output/checkpoint-5211",
|
| 5 |
+
"epoch": 3.0,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 5211,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"entropy": 3.864118957519531,
|
| 14 |
+
"epoch": 0.028785261945883708,
|
| 15 |
+
"grad_norm": 2.7545533180236816,
|
| 16 |
+
"learning_rate": 9.800000000000001e-06,
|
| 17 |
+
"loss": 15.2997,
|
| 18 |
+
"mean_token_accuracy": 0.10086015284061432,
|
| 19 |
+
"num_tokens": 47319.0,
|
| 20 |
+
"step": 50
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"entropy": 4.047076859474182,
|
| 24 |
+
"epoch": 0.057570523891767415,
|
| 25 |
+
"grad_norm": 5.0328264236450195,
|
| 26 |
+
"learning_rate": 1.98e-05,
|
| 27 |
+
"loss": 15.3264,
|
| 28 |
+
"mean_token_accuracy": 0.09582207053899765,
|
| 29 |
+
"num_tokens": 96809.0,
|
| 30 |
+
"step": 100
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"entropy": 4.7578076648712155,
|
| 34 |
+
"epoch": 0.08635578583765112,
|
| 35 |
+
"grad_norm": 38.50589370727539,
|
| 36 |
+
"learning_rate": 1.988584740827024e-05,
|
| 37 |
+
"loss": 13.0056,
|
| 38 |
+
"mean_token_accuracy": 0.126854517608881,
|
| 39 |
+
"num_tokens": 139962.0,
|
| 40 |
+
"step": 150
|
| 41 |
+
},
|
| 42 |
+
{
|
| 43 |
+
"entropy": 6.80673882484436,
|
| 44 |
+
"epoch": 0.11514104778353483,
|
| 45 |
+
"grad_norm": 12.030129432678223,
|
| 46 |
+
"learning_rate": 1.97693651718113e-05,
|
| 47 |
+
"loss": 9.2822,
|
| 48 |
+
"mean_token_accuracy": 0.11084575355052947,
|
| 49 |
+
"num_tokens": 188029.0,
|
| 50 |
+
"step": 200
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"entropy": 7.177925786972046,
|
| 54 |
+
"epoch": 0.14392630972941853,
|
| 55 |
+
"grad_norm": 4.852536201477051,
|
| 56 |
+
"learning_rate": 1.965288293535236e-05,
|
| 57 |
+
"loss": 7.6333,
|
| 58 |
+
"mean_token_accuracy": 0.12398939326405525,
|
| 59 |
+
"num_tokens": 234425.0,
|
| 60 |
+
"step": 250
|
| 61 |
+
},
|
| 62 |
+
{
|
| 63 |
+
"entropy": 7.080496473312378,
|
| 64 |
+
"epoch": 0.17271157167530224,
|
| 65 |
+
"grad_norm": 4.10841178894043,
|
| 66 |
+
"learning_rate": 1.9536400698893422e-05,
|
| 67 |
+
"loss": 7.1632,
|
| 68 |
+
"mean_token_accuracy": 0.13563686355948448,
|
| 69 |
+
"num_tokens": 278885.0,
|
| 70 |
+
"step": 300
|
| 71 |
+
},
|
| 72 |
+
{
|
| 73 |
+
"entropy": 6.931579580307007,
|
| 74 |
+
"epoch": 0.20149683362118595,
|
| 75 |
+
"grad_norm": 14.636048316955566,
|
| 76 |
+
"learning_rate": 1.941991846243448e-05,
|
| 77 |
+
"loss": 6.8213,
|
| 78 |
+
"mean_token_accuracy": 0.16459846690297128,
|
| 79 |
+
"num_tokens": 325491.0,
|
| 80 |
+
"step": 350
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"entropy": 6.853660764694214,
|
| 84 |
+
"epoch": 0.23028209556706966,
|
| 85 |
+
"grad_norm": 5.966708183288574,
|
| 86 |
+
"learning_rate": 1.930343622597554e-05,
|
| 87 |
+
"loss": 6.6625,
|
| 88 |
+
"mean_token_accuracy": 0.17670693069696428,
|
| 89 |
+
"num_tokens": 372913.0,
|
| 90 |
+
"step": 400
|
| 91 |
+
},
|
| 92 |
+
{
|
| 93 |
+
"entropy": 6.684267387390137,
|
| 94 |
+
"epoch": 0.25906735751295334,
|
| 95 |
+
"grad_norm": 4.031010627746582,
|
| 96 |
+
"learning_rate": 1.91869539895166e-05,
|
| 97 |
+
"loss": 6.4505,
|
| 98 |
+
"mean_token_accuracy": 0.1943434515595436,
|
| 99 |
+
"num_tokens": 419159.0,
|
| 100 |
+
"step": 450
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"entropy": 6.679989137649536,
|
| 104 |
+
"epoch": 0.28785261945883706,
|
| 105 |
+
"grad_norm": 6.251070022583008,
|
| 106 |
+
"learning_rate": 1.907047175305766e-05,
|
| 107 |
+
"loss": 6.4314,
|
| 108 |
+
"mean_token_accuracy": 0.19514557600021362,
|
| 109 |
+
"num_tokens": 466994.0,
|
| 110 |
+
"step": 500
|
| 111 |
+
},
|
| 112 |
+
{
|
| 113 |
+
"entropy": 6.477229623794556,
|
| 114 |
+
"epoch": 0.31663788140472077,
|
| 115 |
+
"grad_norm": 3.8656675815582275,
|
| 116 |
+
"learning_rate": 1.895398951659872e-05,
|
| 117 |
+
"loss": 6.2139,
|
| 118 |
+
"mean_token_accuracy": 0.21764743447303772,
|
| 119 |
+
"num_tokens": 513308.0,
|
| 120 |
+
"step": 550
|
| 121 |
+
},
|
| 122 |
+
{
|
| 123 |
+
"entropy": 6.408129243850708,
|
| 124 |
+
"epoch": 0.3454231433506045,
|
| 125 |
+
"grad_norm": 8.688581466674805,
|
| 126 |
+
"learning_rate": 1.883750728013978e-05,
|
| 127 |
+
"loss": 6.1224,
|
| 128 |
+
"mean_token_accuracy": 0.23438037544488907,
|
| 129 |
+
"num_tokens": 559679.0,
|
| 130 |
+
"step": 600
|
| 131 |
+
},
|
| 132 |
+
{
|
| 133 |
+
"entropy": 6.128518767356873,
|
| 134 |
+
"epoch": 0.3742084052964882,
|
| 135 |
+
"grad_norm": 5.419503688812256,
|
| 136 |
+
"learning_rate": 1.872102504368084e-05,
|
| 137 |
+
"loss": 5.8692,
|
| 138 |
+
"mean_token_accuracy": 0.26634690463542937,
|
| 139 |
+
"num_tokens": 603140.0,
|
| 140 |
+
"step": 650
|
| 141 |
+
},
|
| 142 |
+
{
|
| 143 |
+
"entropy": 6.322700729370117,
|
| 144 |
+
"epoch": 0.4029936672423719,
|
| 145 |
+
"grad_norm": 2.2213082313537598,
|
| 146 |
+
"learning_rate": 1.86045428072219e-05,
|
| 147 |
+
"loss": 6.0717,
|
| 148 |
+
"mean_token_accuracy": 0.24038562417030335,
|
| 149 |
+
"num_tokens": 650179.0,
|
| 150 |
+
"step": 700
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"entropy": 6.236415157318115,
|
| 154 |
+
"epoch": 0.4317789291882556,
|
| 155 |
+
"grad_norm": 4.804980278015137,
|
| 156 |
+
"learning_rate": 1.848806057076296e-05,
|
| 157 |
+
"loss": 5.9986,
|
| 158 |
+
"mean_token_accuracy": 0.24596781462430953,
|
| 159 |
+
"num_tokens": 696220.0,
|
| 160 |
+
"step": 750
|
| 161 |
+
},
|
| 162 |
+
{
|
| 163 |
+
"entropy": 6.269758443832398,
|
| 164 |
+
"epoch": 0.4605641911341393,
|
| 165 |
+
"grad_norm": 2.2888853549957275,
|
| 166 |
+
"learning_rate": 1.837157833430402e-05,
|
| 167 |
+
"loss": 6.0385,
|
| 168 |
+
"mean_token_accuracy": 0.24074893474578857,
|
| 169 |
+
"num_tokens": 743909.0,
|
| 170 |
+
"step": 800
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"entropy": 6.270364007949829,
|
| 174 |
+
"epoch": 0.48934945308002303,
|
| 175 |
+
"grad_norm": 3.0903279781341553,
|
| 176 |
+
"learning_rate": 1.825509609784508e-05,
|
| 177 |
+
"loss": 6.0481,
|
| 178 |
+
"mean_token_accuracy": 0.23740622967481614,
|
| 179 |
+
"num_tokens": 792015.0,
|
| 180 |
+
"step": 850
|
| 181 |
+
},
|
| 182 |
+
{
|
| 183 |
+
"entropy": 6.3037636184692385,
|
| 184 |
+
"epoch": 0.5181347150259067,
|
| 185 |
+
"grad_norm": 3.969320058822632,
|
| 186 |
+
"learning_rate": 1.813861386138614e-05,
|
| 187 |
+
"loss": 6.0855,
|
| 188 |
+
"mean_token_accuracy": 0.2309597587585449,
|
| 189 |
+
"num_tokens": 841802.0,
|
| 190 |
+
"step": 900
|
| 191 |
+
},
|
| 192 |
+
{
|
| 193 |
+
"entropy": 6.038041458129883,
|
| 194 |
+
"epoch": 0.5469199769717904,
|
| 195 |
+
"grad_norm": 2.2712185382843018,
|
| 196 |
+
"learning_rate": 1.80221316249272e-05,
|
| 197 |
+
"loss": 5.8285,
|
| 198 |
+
"mean_token_accuracy": 0.26099125802516937,
|
| 199 |
+
"num_tokens": 886492.0,
|
| 200 |
+
"step": 950
|
| 201 |
+
},
|
| 202 |
+
{
|
| 203 |
+
"entropy": 6.142958383560181,
|
| 204 |
+
"epoch": 0.5757052389176741,
|
| 205 |
+
"grad_norm": 1.2311755418777466,
|
| 206 |
+
"learning_rate": 1.790564938846826e-05,
|
| 207 |
+
"loss": 5.9357,
|
| 208 |
+
"mean_token_accuracy": 0.24810438305139543,
|
| 209 |
+
"num_tokens": 932807.0,
|
| 210 |
+
"step": 1000
|
| 211 |
+
},
|
| 212 |
+
{
|
| 213 |
+
"entropy": 6.199834351539612,
|
| 214 |
+
"epoch": 0.6044905008635578,
|
| 215 |
+
"grad_norm": 2.2788379192352295,
|
| 216 |
+
"learning_rate": 1.7789167152009318e-05,
|
| 217 |
+
"loss": 5.9964,
|
| 218 |
+
"mean_token_accuracy": 0.23942562609910964,
|
| 219 |
+
"num_tokens": 980541.0,
|
| 220 |
+
"step": 1050
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"entropy": 5.961639919281006,
|
| 224 |
+
"epoch": 0.6332757628094415,
|
| 225 |
+
"grad_norm": 1.9077532291412354,
|
| 226 |
+
"learning_rate": 1.767268491555038e-05,
|
| 227 |
+
"loss": 5.7664,
|
| 228 |
+
"mean_token_accuracy": 0.26718012750148773,
|
| 229 |
+
"num_tokens": 1023882.0,
|
| 230 |
+
"step": 1100
|
| 231 |
+
},
|
| 232 |
+
{
|
| 233 |
+
"entropy": 5.889280087947846,
|
| 234 |
+
"epoch": 0.6620610247553252,
|
| 235 |
+
"grad_norm": 2.4254891872406006,
|
| 236 |
+
"learning_rate": 1.7556202679091442e-05,
|
| 237 |
+
"loss": 5.6952,
|
| 238 |
+
"mean_token_accuracy": 0.27529804170131683,
|
| 239 |
+
"num_tokens": 1068300.0,
|
| 240 |
+
"step": 1150
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"entropy": 6.085640063285828,
|
| 244 |
+
"epoch": 0.690846286701209,
|
| 245 |
+
"grad_norm": 2.35312557220459,
|
| 246 |
+
"learning_rate": 1.74397204426325e-05,
|
| 247 |
+
"loss": 5.8898,
|
| 248 |
+
"mean_token_accuracy": 0.25166562348604204,
|
| 249 |
+
"num_tokens": 1115425.0,
|
| 250 |
+
"step": 1200
|
| 251 |
+
},
|
| 252 |
+
{
|
| 253 |
+
"entropy": 6.146574058532715,
|
| 254 |
+
"epoch": 0.7196315486470927,
|
| 255 |
+
"grad_norm": 1.7730146646499634,
|
| 256 |
+
"learning_rate": 1.732323820617356e-05,
|
| 257 |
+
"loss": 5.9519,
|
| 258 |
+
"mean_token_accuracy": 0.24276195973157882,
|
| 259 |
+
"num_tokens": 1162319.0,
|
| 260 |
+
"step": 1250
|
| 261 |
+
},
|
| 262 |
+
{
|
| 263 |
+
"entropy": 6.079372715950012,
|
| 264 |
+
"epoch": 0.7484168105929764,
|
| 265 |
+
"grad_norm": 1.7070863246917725,
|
| 266 |
+
"learning_rate": 1.720675596971462e-05,
|
| 267 |
+
"loss": 5.8922,
|
| 268 |
+
"mean_token_accuracy": 0.24961524546146394,
|
| 269 |
+
"num_tokens": 1208230.0,
|
| 270 |
+
"step": 1300
|
| 271 |
+
},
|
| 272 |
+
{
|
| 273 |
+
"entropy": 5.9683656406402585,
|
| 274 |
+
"epoch": 0.7772020725388601,
|
| 275 |
+
"grad_norm": 1.8790594339370728,
|
| 276 |
+
"learning_rate": 1.709027373325568e-05,
|
| 277 |
+
"loss": 5.7827,
|
| 278 |
+
"mean_token_accuracy": 0.2632122594118118,
|
| 279 |
+
"num_tokens": 1253074.0,
|
| 280 |
+
"step": 1350
|
| 281 |
+
},
|
| 282 |
+
{
|
| 283 |
+
"entropy": 6.107076721191406,
|
| 284 |
+
"epoch": 0.8059873344847438,
|
| 285 |
+
"grad_norm": 1.1745644807815552,
|
| 286 |
+
"learning_rate": 1.6973791496796742e-05,
|
| 287 |
+
"loss": 5.9211,
|
| 288 |
+
"mean_token_accuracy": 0.24564073830842972,
|
| 289 |
+
"num_tokens": 1300179.0,
|
| 290 |
+
"step": 1400
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"entropy": 6.141328382492065,
|
| 294 |
+
"epoch": 0.8347725964306275,
|
| 295 |
+
"grad_norm": 1.0346958637237549,
|
| 296 |
+
"learning_rate": 1.68573092603378e-05,
|
| 297 |
+
"loss": 5.9584,
|
| 298 |
+
"mean_token_accuracy": 0.23997059136629104,
|
| 299 |
+
"num_tokens": 1347539.0,
|
| 300 |
+
"step": 1450
|
| 301 |
+
},
|
| 302 |
+
{
|
| 303 |
+
"entropy": 6.070010099411011,
|
| 304 |
+
"epoch": 0.8635578583765112,
|
| 305 |
+
"grad_norm": 1.6541163921356201,
|
| 306 |
+
"learning_rate": 1.674082702387886e-05,
|
| 307 |
+
"loss": 5.889,
|
| 308 |
+
"mean_token_accuracy": 0.24875166177749633,
|
| 309 |
+
"num_tokens": 1394157.0,
|
| 310 |
+
"step": 1500
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"entropy": 6.207450666427612,
|
| 314 |
+
"epoch": 0.8923431203223949,
|
| 315 |
+
"grad_norm": 0.9742990732192993,
|
| 316 |
+
"learning_rate": 1.662434478741992e-05,
|
| 317 |
+
"loss": 6.0217,
|
| 318 |
+
"mean_token_accuracy": 0.23067249596118927,
|
| 319 |
+
"num_tokens": 1443892.0,
|
| 320 |
+
"step": 1550
|
| 321 |
+
},
|
| 322 |
+
{
|
| 323 |
+
"entropy": 6.026197805404663,
|
| 324 |
+
"epoch": 0.9211283822682786,
|
| 325 |
+
"grad_norm": 1.4229531288146973,
|
| 326 |
+
"learning_rate": 1.650786255096098e-05,
|
| 327 |
+
"loss": 5.8455,
|
| 328 |
+
"mean_token_accuracy": 0.2537291014194489,
|
| 329 |
+
"num_tokens": 1491050.0,
|
| 330 |
+
"step": 1600
|
| 331 |
+
},
|
| 332 |
+
{
|
| 333 |
+
"entropy": 6.210526428222656,
|
| 334 |
+
"epoch": 0.9499136442141624,
|
| 335 |
+
"grad_norm": 1.3555018901824951,
|
| 336 |
+
"learning_rate": 1.6391380314502038e-05,
|
| 337 |
+
"loss": 6.0279,
|
| 338 |
+
"mean_token_accuracy": 0.2308420208096504,
|
| 339 |
+
"num_tokens": 1540809.0,
|
| 340 |
+
"step": 1650
|
| 341 |
+
},
|
| 342 |
+
{
|
| 343 |
+
"entropy": 5.9872834014892575,
|
| 344 |
+
"epoch": 0.9786989061600461,
|
| 345 |
+
"grad_norm": 0.9893498420715332,
|
| 346 |
+
"learning_rate": 1.62748980780431e-05,
|
| 347 |
+
"loss": 5.8137,
|
| 348 |
+
"mean_token_accuracy": 0.2566875320672989,
|
| 349 |
+
"num_tokens": 1585876.0,
|
| 350 |
+
"step": 1700
|
| 351 |
+
},
|
| 352 |
+
{
|
| 353 |
+
"epoch": 1.0,
|
| 354 |
+
"eval_entropy": 6.322207130045386,
|
| 355 |
+
"eval_loss": 6.15173864364624,
|
| 356 |
+
"eval_mean_token_accuracy": 0.21116007946877985,
|
| 357 |
+
"eval_model_preparation_time": 0.0036,
|
| 358 |
+
"eval_num_tokens": 1619719.0,
|
| 359 |
+
"eval_runtime": 76.1297,
|
| 360 |
+
"eval_samples_per_second": 5.701,
|
| 361 |
+
"eval_steps_per_second": 2.85,
|
| 362 |
+
"step": 1737
|
| 363 |
+
},
|
| 364 |
+
{
|
| 365 |
+
"entropy": 6.038531675338745,
|
| 366 |
+
"epoch": 1.0074841681059297,
|
| 367 |
+
"grad_norm": 0.8715208172798157,
|
| 368 |
+
"learning_rate": 1.615841584158416e-05,
|
| 369 |
+
"loss": 5.8628,
|
| 370 |
+
"mean_token_accuracy": 0.2510762655735016,
|
| 371 |
+
"num_tokens": 1632015.0,
|
| 372 |
+
"step": 1750
|
| 373 |
+
},
|
| 374 |
+
{
|
| 375 |
+
"entropy": 6.164030771255494,
|
| 376 |
+
"epoch": 1.0362694300518134,
|
| 377 |
+
"grad_norm": 0.7344900965690613,
|
| 378 |
+
"learning_rate": 1.604193360512522e-05,
|
| 379 |
+
"loss": 5.9856,
|
| 380 |
+
"mean_token_accuracy": 0.2351543301343918,
|
| 381 |
+
"num_tokens": 1681154.0,
|
| 382 |
+
"step": 1800
|
| 383 |
+
},
|
| 384 |
+
{
|
| 385 |
+
"entropy": 6.0731862354278565,
|
| 386 |
+
"epoch": 1.065054691997697,
|
| 387 |
+
"grad_norm": 1.0801328420639038,
|
| 388 |
+
"learning_rate": 1.592545136866628e-05,
|
| 389 |
+
"loss": 5.8976,
|
| 390 |
+
"mean_token_accuracy": 0.24701615989208223,
|
| 391 |
+
"num_tokens": 1728110.0,
|
| 392 |
+
"step": 1850
|
| 393 |
+
},
|
| 394 |
+
{
|
| 395 |
+
"entropy": 6.079212121963501,
|
| 396 |
+
"epoch": 1.0938399539435808,
|
| 397 |
+
"grad_norm": 0.7876909375190735,
|
| 398 |
+
"learning_rate": 1.5808969132207338e-05,
|
| 399 |
+
"loss": 5.9056,
|
| 400 |
+
"mean_token_accuracy": 0.24457543224096298,
|
| 401 |
+
"num_tokens": 1775703.0,
|
| 402 |
+
"step": 1900
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"entropy": 6.062467746734619,
|
| 406 |
+
"epoch": 1.1226252158894645,
|
| 407 |
+
"grad_norm": 0.5999078750610352,
|
| 408 |
+
"learning_rate": 1.56924868957484e-05,
|
| 409 |
+
"loss": 5.8899,
|
| 410 |
+
"mean_token_accuracy": 0.2469428673386574,
|
| 411 |
+
"num_tokens": 1821980.0,
|
| 412 |
+
"step": 1950
|
| 413 |
+
},
|
| 414 |
+
{
|
| 415 |
+
"entropy": 6.031774473190308,
|
| 416 |
+
"epoch": 1.1514104778353482,
|
| 417 |
+
"grad_norm": 1.6313235759735107,
|
| 418 |
+
"learning_rate": 1.557600465928946e-05,
|
| 419 |
+
"loss": 5.8593,
|
| 420 |
+
"mean_token_accuracy": 0.250918984413147,
|
| 421 |
+
"num_tokens": 1867547.0,
|
| 422 |
+
"step": 2000
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"entropy": 6.122789564132691,
|
| 426 |
+
"epoch": 1.180195739781232,
|
| 427 |
+
"grad_norm": 2.562373161315918,
|
| 428 |
+
"learning_rate": 1.545952242283052e-05,
|
| 429 |
+
"loss": 5.9502,
|
| 430 |
+
"mean_token_accuracy": 0.23938885867595672,
|
| 431 |
+
"num_tokens": 1915411.0,
|
| 432 |
+
"step": 2050
|
| 433 |
+
},
|
| 434 |
+
{
|
| 435 |
+
"entropy": 6.067130417823791,
|
| 436 |
+
"epoch": 1.2089810017271156,
|
| 437 |
+
"grad_norm": 0.9762872457504272,
|
| 438 |
+
"learning_rate": 1.534304018637158e-05,
|
| 439 |
+
"loss": 5.8956,
|
| 440 |
+
"mean_token_accuracy": 0.2454381173849106,
|
| 441 |
+
"num_tokens": 1964009.0,
|
| 442 |
+
"step": 2100
|
| 443 |
+
},
|
| 444 |
+
{
|
| 445 |
+
"entropy": 5.9613511180877685,
|
| 446 |
+
"epoch": 1.2377662636729994,
|
| 447 |
+
"grad_norm": 0.8701547384262085,
|
| 448 |
+
"learning_rate": 1.5226557949912639e-05,
|
| 449 |
+
"loss": 5.7907,
|
| 450 |
+
"mean_token_accuracy": 0.25976367652416227,
|
| 451 |
+
"num_tokens": 2008595.0,
|
| 452 |
+
"step": 2150
|
| 453 |
+
},
|
| 454 |
+
{
|
| 455 |
+
"entropy": 6.13505428314209,
|
| 456 |
+
"epoch": 1.266551525618883,
|
| 457 |
+
"grad_norm": 0.8511647582054138,
|
| 458 |
+
"learning_rate": 1.51100757134537e-05,
|
| 459 |
+
"loss": 5.9619,
|
| 460 |
+
"mean_token_accuracy": 0.23760781466960906,
|
| 461 |
+
"num_tokens": 2057229.0,
|
| 462 |
+
"step": 2200
|
| 463 |
+
},
|
| 464 |
+
{
|
| 465 |
+
"entropy": 6.025254983901977,
|
| 466 |
+
"epoch": 1.2953367875647668,
|
| 467 |
+
"grad_norm": 0.7627406120300293,
|
| 468 |
+
"learning_rate": 1.4993593476994758e-05,
|
| 469 |
+
"loss": 5.8546,
|
| 470 |
+
"mean_token_accuracy": 0.2508662334084511,
|
| 471 |
+
"num_tokens": 2103631.0,
|
| 472 |
+
"step": 2250
|
| 473 |
+
},
|
| 474 |
+
{
|
| 475 |
+
"entropy": 5.981974196434021,
|
| 476 |
+
"epoch": 1.3241220495106505,
|
| 477 |
+
"grad_norm": 1.6922173500061035,
|
| 478 |
+
"learning_rate": 1.4877111240535819e-05,
|
| 479 |
+
"loss": 5.8119,
|
| 480 |
+
"mean_token_accuracy": 0.256170334815979,
|
| 481 |
+
"num_tokens": 2150369.0,
|
| 482 |
+
"step": 2300
|
| 483 |
+
},
|
| 484 |
+
{
|
| 485 |
+
"entropy": 6.19903904914856,
|
| 486 |
+
"epoch": 1.3529073114565342,
|
| 487 |
+
"grad_norm": 0.40436601638793945,
|
| 488 |
+
"learning_rate": 1.4760629004076878e-05,
|
| 489 |
+
"loss": 6.0244,
|
| 490 |
+
"mean_token_accuracy": 0.22900927513837815,
|
| 491 |
+
"num_tokens": 2199724.0,
|
| 492 |
+
"step": 2350
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"entropy": 5.986697297096253,
|
| 496 |
+
"epoch": 1.381692573402418,
|
| 497 |
+
"grad_norm": 0.8481882214546204,
|
| 498 |
+
"learning_rate": 1.464414676761794e-05,
|
| 499 |
+
"loss": 5.8195,
|
| 500 |
+
"mean_token_accuracy": 0.2552035376429558,
|
| 501 |
+
"num_tokens": 2245341.0,
|
| 502 |
+
"step": 2400
|
| 503 |
+
},
|
| 504 |
+
{
|
| 505 |
+
"entropy": 6.1886044692993165,
|
| 506 |
+
"epoch": 1.4104778353483016,
|
| 507 |
+
"grad_norm": 0.7911505103111267,
|
| 508 |
+
"learning_rate": 1.4527664531159e-05,
|
| 509 |
+
"loss": 6.0148,
|
| 510 |
+
"mean_token_accuracy": 0.23026730984449387,
|
| 511 |
+
"num_tokens": 2294726.0,
|
| 512 |
+
"step": 2450
|
| 513 |
+
},
|
| 514 |
+
{
|
| 515 |
+
"entropy": 5.974867792129516,
|
| 516 |
+
"epoch": 1.4392630972941853,
|
| 517 |
+
"grad_norm": 1.640499234199524,
|
| 518 |
+
"learning_rate": 1.441118229470006e-05,
|
| 519 |
+
"loss": 5.8111,
|
| 520 |
+
"mean_token_accuracy": 0.2554209426045418,
|
| 521 |
+
"num_tokens": 2342251.0,
|
| 522 |
+
"step": 2500
|
| 523 |
+
},
|
| 524 |
+
{
|
| 525 |
+
"entropy": 5.967635660171509,
|
| 526 |
+
"epoch": 1.468048359240069,
|
| 527 |
+
"grad_norm": 0.8022929430007935,
|
| 528 |
+
"learning_rate": 1.429470005824112e-05,
|
| 529 |
+
"loss": 5.8015,
|
| 530 |
+
"mean_token_accuracy": 0.2569852137565613,
|
| 531 |
+
"num_tokens": 2387469.0,
|
| 532 |
+
"step": 2550
|
| 533 |
+
},
|
| 534 |
+
{
|
| 535 |
+
"entropy": 6.047262029647827,
|
| 536 |
+
"epoch": 1.4968336211859528,
|
| 537 |
+
"grad_norm": 0.9270678758621216,
|
| 538 |
+
"learning_rate": 1.417821782178218e-05,
|
| 539 |
+
"loss": 5.8782,
|
| 540 |
+
"mean_token_accuracy": 0.2467849862575531,
|
| 541 |
+
"num_tokens": 2434128.0,
|
| 542 |
+
"step": 2600
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"entropy": 6.00601068019867,
|
| 546 |
+
"epoch": 1.5256188831318365,
|
| 547 |
+
"grad_norm": 1.5378597974777222,
|
| 548 |
+
"learning_rate": 1.406173558532324e-05,
|
| 549 |
+
"loss": 5.839,
|
| 550 |
+
"mean_token_accuracy": 0.25216978013515473,
|
| 551 |
+
"num_tokens": 2480366.0,
|
| 552 |
+
"step": 2650
|
| 553 |
+
},
|
| 554 |
+
{
|
| 555 |
+
"entropy": 5.988714299201965,
|
| 556 |
+
"epoch": 1.5544041450777202,
|
| 557 |
+
"grad_norm": 0.819143533706665,
|
| 558 |
+
"learning_rate": 1.3945253348864299e-05,
|
| 559 |
+
"loss": 5.82,
|
| 560 |
+
"mean_token_accuracy": 0.254311783015728,
|
| 561 |
+
"num_tokens": 2527357.0,
|
| 562 |
+
"step": 2700
|
| 563 |
+
},
|
| 564 |
+
{
|
| 565 |
+
"entropy": 5.960293846130371,
|
| 566 |
+
"epoch": 1.583189407023604,
|
| 567 |
+
"grad_norm": 0.8920449614524841,
|
| 568 |
+
"learning_rate": 1.382877111240536e-05,
|
| 569 |
+
"loss": 5.7946,
|
| 570 |
+
"mean_token_accuracy": 0.25750755161046984,
|
| 571 |
+
"num_tokens": 2574470.0,
|
| 572 |
+
"step": 2750
|
| 573 |
+
},
|
| 574 |
+
{
|
| 575 |
+
"entropy": 6.1214879322052,
|
| 576 |
+
"epoch": 1.6119746689694876,
|
| 577 |
+
"grad_norm": 0.5333890914916992,
|
| 578 |
+
"learning_rate": 1.371228887594642e-05,
|
| 579 |
+
"loss": 5.9513,
|
| 580 |
+
"mean_token_accuracy": 0.2377367687225342,
|
| 581 |
+
"num_tokens": 2622280.0,
|
| 582 |
+
"step": 2800
|
| 583 |
+
},
|
| 584 |
+
{
|
| 585 |
+
"entropy": 5.951769871711731,
|
| 586 |
+
"epoch": 1.6407599309153713,
|
| 587 |
+
"grad_norm": 0.5994665026664734,
|
| 588 |
+
"learning_rate": 1.3595806639487479e-05,
|
| 589 |
+
"loss": 5.7861,
|
| 590 |
+
"mean_token_accuracy": 0.25854207515716554,
|
| 591 |
+
"num_tokens": 2668624.0,
|
| 592 |
+
"step": 2850
|
| 593 |
+
},
|
| 594 |
+
{
|
| 595 |
+
"entropy": 5.927765312194825,
|
| 596 |
+
"epoch": 1.669545192861255,
|
| 597 |
+
"grad_norm": 0.4460087716579437,
|
| 598 |
+
"learning_rate": 1.347932440302854e-05,
|
| 599 |
+
"loss": 5.7661,
|
| 600 |
+
"mean_token_accuracy": 0.25973255425691605,
|
| 601 |
+
"num_tokens": 2714388.0,
|
| 602 |
+
"step": 2900
|
| 603 |
+
},
|
| 604 |
+
{
|
| 605 |
+
"entropy": 6.097678365707398,
|
| 606 |
+
"epoch": 1.6983304548071387,
|
| 607 |
+
"grad_norm": 0.7125752568244934,
|
| 608 |
+
"learning_rate": 1.3362842166569598e-05,
|
| 609 |
+
"loss": 5.9284,
|
| 610 |
+
"mean_token_accuracy": 0.23995368272066117,
|
| 611 |
+
"num_tokens": 2761465.0,
|
| 612 |
+
"step": 2950
|
| 613 |
+
},
|
| 614 |
+
{
|
| 615 |
+
"entropy": 5.986212658882141,
|
| 616 |
+
"epoch": 1.7271157167530224,
|
| 617 |
+
"grad_norm": 1.5405049324035645,
|
| 618 |
+
"learning_rate": 1.3246359930110659e-05,
|
| 619 |
+
"loss": 5.8194,
|
| 620 |
+
"mean_token_accuracy": 0.25333445996046067,
|
| 621 |
+
"num_tokens": 2808066.0,
|
| 622 |
+
"step": 3000
|
| 623 |
+
},
|
| 624 |
+
{
|
| 625 |
+
"entropy": 5.7968806195259095,
|
| 626 |
+
"epoch": 1.7559009786989062,
|
| 627 |
+
"grad_norm": 0.4532749652862549,
|
| 628 |
+
"learning_rate": 1.312987769365172e-05,
|
| 629 |
+
"loss": 5.6344,
|
| 630 |
+
"mean_token_accuracy": 0.2782411390542984,
|
| 631 |
+
"num_tokens": 2851822.0,
|
| 632 |
+
"step": 3050
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"entropy": 5.973708114624023,
|
| 636 |
+
"epoch": 1.7846862406447899,
|
| 637 |
+
"grad_norm": 1.4795438051223755,
|
| 638 |
+
"learning_rate": 1.3013395457192778e-05,
|
| 639 |
+
"loss": 5.8104,
|
| 640 |
+
"mean_token_accuracy": 0.25441971331834795,
|
| 641 |
+
"num_tokens": 2897737.0,
|
| 642 |
+
"step": 3100
|
| 643 |
+
},
|
| 644 |
+
{
|
| 645 |
+
"entropy": 5.70733567237854,
|
| 646 |
+
"epoch": 1.8134715025906736,
|
| 647 |
+
"grad_norm": 0.6216577887535095,
|
| 648 |
+
"learning_rate": 1.2896913220733839e-05,
|
| 649 |
+
"loss": 5.5523,
|
| 650 |
+
"mean_token_accuracy": 0.28787180870771406,
|
| 651 |
+
"num_tokens": 2939511.0,
|
| 652 |
+
"step": 3150
|
| 653 |
+
},
|
| 654 |
+
{
|
| 655 |
+
"entropy": 5.96826630115509,
|
| 656 |
+
"epoch": 1.8422567645365573,
|
| 657 |
+
"grad_norm": 0.9246350526809692,
|
| 658 |
+
"learning_rate": 1.2780430984274898e-05,
|
| 659 |
+
"loss": 5.8057,
|
| 660 |
+
"mean_token_accuracy": 0.25464902341365814,
|
| 661 |
+
"num_tokens": 2986368.0,
|
| 662 |
+
"step": 3200
|
| 663 |
+
},
|
| 664 |
+
{
|
| 665 |
+
"entropy": 5.950662693977356,
|
| 666 |
+
"epoch": 1.871042026482441,
|
| 667 |
+
"grad_norm": 0.8141199946403503,
|
| 668 |
+
"learning_rate": 1.266394874781596e-05,
|
| 669 |
+
"loss": 5.7886,
|
| 670 |
+
"mean_token_accuracy": 0.25830793648958206,
|
| 671 |
+
"num_tokens": 3031770.0,
|
| 672 |
+
"step": 3250
|
| 673 |
+
},
|
| 674 |
+
{
|
| 675 |
+
"entropy": 6.00512773513794,
|
| 676 |
+
"epoch": 1.8998272884283247,
|
| 677 |
+
"grad_norm": 0.4913998246192932,
|
| 678 |
+
"learning_rate": 1.2547466511357018e-05,
|
| 679 |
+
"loss": 5.838,
|
| 680 |
+
"mean_token_accuracy": 0.2512077575922012,
|
| 681 |
+
"num_tokens": 3078322.0,
|
| 682 |
+
"step": 3300
|
| 683 |
+
},
|
| 684 |
+
{
|
| 685 |
+
"entropy": 6.090880632400513,
|
| 686 |
+
"epoch": 1.9286125503742084,
|
| 687 |
+
"grad_norm": 0.9893012046813965,
|
| 688 |
+
"learning_rate": 1.243098427489808e-05,
|
| 689 |
+
"loss": 5.9264,
|
| 690 |
+
"mean_token_accuracy": 0.2391783133149147,
|
| 691 |
+
"num_tokens": 3125572.0,
|
| 692 |
+
"step": 3350
|
| 693 |
+
},
|
| 694 |
+
{
|
| 695 |
+
"entropy": 5.949693293571472,
|
| 696 |
+
"epoch": 1.9573978123200921,
|
| 697 |
+
"grad_norm": 0.5794200301170349,
|
| 698 |
+
"learning_rate": 1.231450203843914e-05,
|
| 699 |
+
"loss": 5.7861,
|
| 700 |
+
"mean_token_accuracy": 0.2568664598464966,
|
| 701 |
+
"num_tokens": 3171974.0,
|
| 702 |
+
"step": 3400
|
| 703 |
+
},
|
| 704 |
+
{
|
| 705 |
+
"entropy": 6.03591317653656,
|
| 706 |
+
"epoch": 1.9861830742659758,
|
| 707 |
+
"grad_norm": 0.8525373339653015,
|
| 708 |
+
"learning_rate": 1.21980198019802e-05,
|
| 709 |
+
"loss": 5.8741,
|
| 710 |
+
"mean_token_accuracy": 0.24642003327608109,
|
| 711 |
+
"num_tokens": 3219624.0,
|
| 712 |
+
"step": 3450
|
| 713 |
+
},
|
| 714 |
+
{
|
| 715 |
+
"epoch": 2.0,
|
| 716 |
+
"eval_entropy": 6.272298685416648,
|
| 717 |
+
"eval_loss": 6.12472677230835,
|
| 718 |
+
"eval_mean_token_accuracy": 0.21168697409091458,
|
| 719 |
+
"eval_model_preparation_time": 0.0036,
|
| 720 |
+
"eval_num_tokens": 3239438.0,
|
| 721 |
+
"eval_runtime": 76.2536,
|
| 722 |
+
"eval_samples_per_second": 5.692,
|
| 723 |
+
"eval_steps_per_second": 2.846,
|
| 724 |
+
"step": 3474
|
| 725 |
+
},
|
| 726 |
+
{
|
| 727 |
+
"entropy": 5.914763498306274,
|
| 728 |
+
"epoch": 2.0149683362118593,
|
| 729 |
+
"grad_norm": 0.5479806661605835,
|
| 730 |
+
"learning_rate": 1.208153756552126e-05,
|
| 731 |
+
"loss": 5.7559,
|
| 732 |
+
"mean_token_accuracy": 0.2624077323079109,
|
| 733 |
+
"num_tokens": 3263994.0,
|
| 734 |
+
"step": 3500
|
| 735 |
+
},
|
| 736 |
+
{
|
| 737 |
+
"entropy": 6.033470869064331,
|
| 738 |
+
"epoch": 2.043753598157743,
|
| 739 |
+
"grad_norm": 1.7186369895935059,
|
| 740 |
+
"learning_rate": 1.1965055329062319e-05,
|
| 741 |
+
"loss": 5.8677,
|
| 742 |
+
"mean_token_accuracy": 0.24745646148920059,
|
| 743 |
+
"num_tokens": 3311182.0,
|
| 744 |
+
"step": 3550
|
| 745 |
+
},
|
| 746 |
+
{
|
| 747 |
+
"entropy": 5.962404427528381,
|
| 748 |
+
"epoch": 2.0725388601036268,
|
| 749 |
+
"grad_norm": 0.9068580269813538,
|
| 750 |
+
"learning_rate": 1.184857309260338e-05,
|
| 751 |
+
"loss": 5.8038,
|
| 752 |
+
"mean_token_accuracy": 0.25500513821840287,
|
| 753 |
+
"num_tokens": 3358036.0,
|
| 754 |
+
"step": 3600
|
| 755 |
+
},
|
| 756 |
+
{
|
| 757 |
+
"entropy": 5.995727968215943,
|
| 758 |
+
"epoch": 2.1013241220495105,
|
| 759 |
+
"grad_norm": 2.044490337371826,
|
| 760 |
+
"learning_rate": 1.1732090856144438e-05,
|
| 761 |
+
"loss": 5.8333,
|
| 762 |
+
"mean_token_accuracy": 0.2514388278126717,
|
| 763 |
+
"num_tokens": 3404058.0,
|
| 764 |
+
"step": 3650
|
| 765 |
+
},
|
| 766 |
+
{
|
| 767 |
+
"entropy": 5.981345901489258,
|
| 768 |
+
"epoch": 2.130109383995394,
|
| 769 |
+
"grad_norm": 0.5262818336486816,
|
| 770 |
+
"learning_rate": 1.1615608619685499e-05,
|
| 771 |
+
"loss": 5.8205,
|
| 772 |
+
"mean_token_accuracy": 0.2523340278863907,
|
| 773 |
+
"num_tokens": 3449834.0,
|
| 774 |
+
"step": 3700
|
| 775 |
+
},
|
| 776 |
+
{
|
| 777 |
+
"entropy": 5.848710675239563,
|
| 778 |
+
"epoch": 2.158894645941278,
|
| 779 |
+
"grad_norm": 0.726718544960022,
|
| 780 |
+
"learning_rate": 1.149912638322656e-05,
|
| 781 |
+
"loss": 5.6891,
|
| 782 |
+
"mean_token_accuracy": 0.2697497832775116,
|
| 783 |
+
"num_tokens": 3494740.0,
|
| 784 |
+
"step": 3750
|
| 785 |
+
},
|
| 786 |
+
{
|
| 787 |
+
"entropy": 5.964878315925598,
|
| 788 |
+
"epoch": 2.1876799078871616,
|
| 789 |
+
"grad_norm": 0.6147393584251404,
|
| 790 |
+
"learning_rate": 1.1382644146767618e-05,
|
| 791 |
+
"loss": 5.8029,
|
| 792 |
+
"mean_token_accuracy": 0.2553535890579224,
|
| 793 |
+
"num_tokens": 3541342.0,
|
| 794 |
+
"step": 3800
|
| 795 |
+
},
|
| 796 |
+
{
|
| 797 |
+
"entropy": 6.045858116149902,
|
| 798 |
+
"epoch": 2.2164651698330453,
|
| 799 |
+
"grad_norm": 0.8283621072769165,
|
| 800 |
+
"learning_rate": 1.1266161910308679e-05,
|
| 801 |
+
"loss": 5.8802,
|
| 802 |
+
"mean_token_accuracy": 0.24544916599988936,
|
| 803 |
+
"num_tokens": 3588995.0,
|
| 804 |
+
"step": 3850
|
| 805 |
+
},
|
| 806 |
+
{
|
| 807 |
+
"entropy": 5.909895505905151,
|
| 808 |
+
"epoch": 2.245250431778929,
|
| 809 |
+
"grad_norm": 0.9912867546081543,
|
| 810 |
+
"learning_rate": 1.1149679673849738e-05,
|
| 811 |
+
"loss": 5.7481,
|
| 812 |
+
"mean_token_accuracy": 0.2620398569107056,
|
| 813 |
+
"num_tokens": 3634252.0,
|
| 814 |
+
"step": 3900
|
| 815 |
+
},
|
| 816 |
+
{
|
| 817 |
+
"entropy": 5.9534005498886104,
|
| 818 |
+
"epoch": 2.2740356937248127,
|
| 819 |
+
"grad_norm": 1.2012401819229126,
|
| 820 |
+
"learning_rate": 1.1033197437390799e-05,
|
| 821 |
+
"loss": 5.788,
|
| 822 |
+
"mean_token_accuracy": 0.25642816990613937,
|
| 823 |
+
"num_tokens": 3681197.0,
|
| 824 |
+
"step": 3950
|
| 825 |
+
},
|
| 826 |
+
{
|
| 827 |
+
"entropy": 6.155718851089477,
|
| 828 |
+
"epoch": 2.3028209556706964,
|
| 829 |
+
"grad_norm": 1.4272509813308716,
|
| 830 |
+
"learning_rate": 1.0916715200931857e-05,
|
| 831 |
+
"loss": 5.9842,
|
| 832 |
+
"mean_token_accuracy": 0.23176315426826477,
|
| 833 |
+
"num_tokens": 3729955.0,
|
| 834 |
+
"step": 4000
|
| 835 |
+
},
|
| 836 |
+
{
|
| 837 |
+
"entropy": 6.004842009544372,
|
| 838 |
+
"epoch": 2.33160621761658,
|
| 839 |
+
"grad_norm": 1.1919596195220947,
|
| 840 |
+
"learning_rate": 1.0800232964472918e-05,
|
| 841 |
+
"loss": 5.8332,
|
| 842 |
+
"mean_token_accuracy": 0.25039500594139097,
|
| 843 |
+
"num_tokens": 3777043.0,
|
| 844 |
+
"step": 4050
|
| 845 |
+
},
|
| 846 |
+
{
|
| 847 |
+
"entropy": 6.045269584655761,
|
| 848 |
+
"epoch": 2.360391479562464,
|
| 849 |
+
"grad_norm": 0.6200748085975647,
|
| 850 |
+
"learning_rate": 1.068375072801398e-05,
|
| 851 |
+
"loss": 5.8641,
|
| 852 |
+
"mean_token_accuracy": 0.2466951721906662,
|
| 853 |
+
"num_tokens": 3824067.0,
|
| 854 |
+
"step": 4100
|
| 855 |
+
},
|
| 856 |
+
{
|
| 857 |
+
"entropy": 6.105137758255005,
|
| 858 |
+
"epoch": 2.3891767415083476,
|
| 859 |
+
"grad_norm": 1.0185531377792358,
|
| 860 |
+
"learning_rate": 1.0567268491555038e-05,
|
| 861 |
+
"loss": 5.9181,
|
| 862 |
+
"mean_token_accuracy": 0.24000227689743042,
|
| 863 |
+
"num_tokens": 3872769.0,
|
| 864 |
+
"step": 4150
|
| 865 |
+
},
|
| 866 |
+
{
|
| 867 |
+
"entropy": 6.013391451835632,
|
| 868 |
+
"epoch": 2.4179620034542313,
|
| 869 |
+
"grad_norm": 0.6188511848449707,
|
| 870 |
+
"learning_rate": 1.04507862550961e-05,
|
| 871 |
+
"loss": 5.8286,
|
| 872 |
+
"mean_token_accuracy": 0.25189226895570754,
|
| 873 |
+
"num_tokens": 3919379.0,
|
| 874 |
+
"step": 4200
|
| 875 |
+
},
|
| 876 |
+
{
|
| 877 |
+
"entropy": 5.972923498153687,
|
| 878 |
+
"epoch": 2.446747265400115,
|
| 879 |
+
"grad_norm": 0.7165982127189636,
|
| 880 |
+
"learning_rate": 1.0334304018637157e-05,
|
| 881 |
+
"loss": 5.7908,
|
| 882 |
+
"mean_token_accuracy": 0.2567197346687317,
|
| 883 |
+
"num_tokens": 3965593.0,
|
| 884 |
+
"step": 4250
|
| 885 |
+
},
|
| 886 |
+
{
|
| 887 |
+
"entropy": 6.0378124713897705,
|
| 888 |
+
"epoch": 2.4755325273459987,
|
| 889 |
+
"grad_norm": 0.5278330445289612,
|
| 890 |
+
"learning_rate": 1.021782178217822e-05,
|
| 891 |
+
"loss": 5.8559,
|
| 892 |
+
"mean_token_accuracy": 0.2484271454811096,
|
| 893 |
+
"num_tokens": 4012300.0,
|
| 894 |
+
"step": 4300
|
| 895 |
+
},
|
| 896 |
+
{
|
| 897 |
+
"entropy": 5.984496111869812,
|
| 898 |
+
"epoch": 2.5043177892918824,
|
| 899 |
+
"grad_norm": 0.8995006680488586,
|
| 900 |
+
"learning_rate": 1.0101339545719278e-05,
|
| 901 |
+
"loss": 5.8092,
|
| 902 |
+
"mean_token_accuracy": 0.253717774450779,
|
| 903 |
+
"num_tokens": 4059323.0,
|
| 904 |
+
"step": 4350
|
| 905 |
+
},
|
| 906 |
+
{
|
| 907 |
+
"entropy": 6.124767150878906,
|
| 908 |
+
"epoch": 2.533103051237766,
|
| 909 |
+
"grad_norm": 1.3810409307479858,
|
| 910 |
+
"learning_rate": 9.984857309260339e-06,
|
| 911 |
+
"loss": 5.9468,
|
| 912 |
+
"mean_token_accuracy": 0.23715158700942993,
|
| 913 |
+
"num_tokens": 4107616.0,
|
| 914 |
+
"step": 4400
|
| 915 |
+
},
|
| 916 |
+
{
|
| 917 |
+
"entropy": 5.8810745000839235,
|
| 918 |
+
"epoch": 2.56188831318365,
|
| 919 |
+
"grad_norm": 0.8794332146644592,
|
| 920 |
+
"learning_rate": 9.868375072801398e-06,
|
| 921 |
+
"loss": 5.7089,
|
| 922 |
+
"mean_token_accuracy": 0.2662400561571121,
|
| 923 |
+
"num_tokens": 4152400.0,
|
| 924 |
+
"step": 4450
|
| 925 |
+
},
|
| 926 |
+
{
|
| 927 |
+
"entropy": 6.108017959594727,
|
| 928 |
+
"epoch": 2.5906735751295336,
|
| 929 |
+
"grad_norm": 0.5132983922958374,
|
| 930 |
+
"learning_rate": 9.751892836342458e-06,
|
| 931 |
+
"loss": 5.9346,
|
| 932 |
+
"mean_token_accuracy": 0.23871887892484664,
|
| 933 |
+
"num_tokens": 4200994.0,
|
| 934 |
+
"step": 4500
|
| 935 |
+
},
|
| 936 |
+
{
|
| 937 |
+
"entropy": 5.985005149841308,
|
| 938 |
+
"epoch": 2.6194588370754173,
|
| 939 |
+
"grad_norm": 0.6561470031738281,
|
| 940 |
+
"learning_rate": 9.635410599883519e-06,
|
| 941 |
+
"loss": 5.8111,
|
| 942 |
+
"mean_token_accuracy": 0.25315980523824694,
|
| 943 |
+
"num_tokens": 4247548.0,
|
| 944 |
+
"step": 4550
|
| 945 |
+
},
|
| 946 |
+
{
|
| 947 |
+
"entropy": 6.050709452629089,
|
| 948 |
+
"epoch": 2.648244099021301,
|
| 949 |
+
"grad_norm": 0.8790570497512817,
|
| 950 |
+
"learning_rate": 9.51892836342458e-06,
|
| 951 |
+
"loss": 5.8789,
|
| 952 |
+
"mean_token_accuracy": 0.2440834751725197,
|
| 953 |
+
"num_tokens": 4295250.0,
|
| 954 |
+
"step": 4600
|
| 955 |
+
},
|
| 956 |
+
{
|
| 957 |
+
"entropy": 6.007251596450805,
|
| 958 |
+
"epoch": 2.6770293609671847,
|
| 959 |
+
"grad_norm": 0.6728562116622925,
|
| 960 |
+
"learning_rate": 9.402446126965639e-06,
|
| 961 |
+
"loss": 5.8338,
|
| 962 |
+
"mean_token_accuracy": 0.2509264424443245,
|
| 963 |
+
"num_tokens": 4341599.0,
|
| 964 |
+
"step": 4650
|
| 965 |
+
},
|
| 966 |
+
{
|
| 967 |
+
"entropy": 5.966628184318543,
|
| 968 |
+
"epoch": 2.7058146229130684,
|
| 969 |
+
"grad_norm": 0.5815795063972473,
|
| 970 |
+
"learning_rate": 9.285963890506699e-06,
|
| 971 |
+
"loss": 5.7961,
|
| 972 |
+
"mean_token_accuracy": 0.2559360232949257,
|
| 973 |
+
"num_tokens": 4388673.0,
|
| 974 |
+
"step": 4700
|
| 975 |
+
},
|
| 976 |
+
{
|
| 977 |
+
"entropy": 5.7972593069076535,
|
| 978 |
+
"epoch": 2.734599884858952,
|
| 979 |
+
"grad_norm": 1.0610334873199463,
|
| 980 |
+
"learning_rate": 9.169481654047758e-06,
|
| 981 |
+
"loss": 5.6318,
|
| 982 |
+
"mean_token_accuracy": 0.27574603259563446,
|
| 983 |
+
"num_tokens": 4432959.0,
|
| 984 |
+
"step": 4750
|
| 985 |
+
},
|
| 986 |
+
{
|
| 987 |
+
"entropy": 5.984181261062622,
|
| 988 |
+
"epoch": 2.763385146804836,
|
| 989 |
+
"grad_norm": 2.1847357749938965,
|
| 990 |
+
"learning_rate": 9.052999417588819e-06,
|
| 991 |
+
"loss": 5.8153,
|
| 992 |
+
"mean_token_accuracy": 0.2533784031867981,
|
| 993 |
+
"num_tokens": 4479190.0,
|
| 994 |
+
"step": 4800
|
| 995 |
+
},
|
| 996 |
+
{
|
| 997 |
+
"entropy": 5.959725599288941,
|
| 998 |
+
"epoch": 2.7921704087507195,
|
| 999 |
+
"grad_norm": 0.5671709179878235,
|
| 1000 |
+
"learning_rate": 8.936517181129878e-06,
|
| 1001 |
+
"loss": 5.7912,
|
| 1002 |
+
"mean_token_accuracy": 0.2556650054454803,
|
| 1003 |
+
"num_tokens": 4525674.0,
|
| 1004 |
+
"step": 4850
|
| 1005 |
+
},
|
| 1006 |
+
{
|
| 1007 |
+
"entropy": 5.814929313659668,
|
| 1008 |
+
"epoch": 2.8209556706966032,
|
| 1009 |
+
"grad_norm": 0.9447108507156372,
|
| 1010 |
+
"learning_rate": 8.820034944670938e-06,
|
| 1011 |
+
"loss": 5.6478,
|
| 1012 |
+
"mean_token_accuracy": 0.27417868226766584,
|
| 1013 |
+
"num_tokens": 4570379.0,
|
| 1014 |
+
"step": 4900
|
| 1015 |
+
},
|
| 1016 |
+
{
|
| 1017 |
+
"entropy": 5.96754421710968,
|
| 1018 |
+
"epoch": 2.849740932642487,
|
| 1019 |
+
"grad_norm": 2.009676218032837,
|
| 1020 |
+
"learning_rate": 8.703552708211999e-06,
|
| 1021 |
+
"loss": 5.795,
|
| 1022 |
+
"mean_token_accuracy": 0.2556305864453316,
|
| 1023 |
+
"num_tokens": 4617184.0,
|
| 1024 |
+
"step": 4950
|
| 1025 |
+
},
|
| 1026 |
+
{
|
| 1027 |
+
"entropy": 6.008112049102783,
|
| 1028 |
+
"epoch": 2.8785261945883707,
|
| 1029 |
+
"grad_norm": 1.1977978944778442,
|
| 1030 |
+
"learning_rate": 8.587070471753058e-06,
|
| 1031 |
+
"loss": 5.8416,
|
| 1032 |
+
"mean_token_accuracy": 0.2494604030251503,
|
| 1033 |
+
"num_tokens": 4664180.0,
|
| 1034 |
+
"step": 5000
|
| 1035 |
+
},
|
| 1036 |
+
{
|
| 1037 |
+
"entropy": 5.832320966720581,
|
| 1038 |
+
"epoch": 2.9073114565342544,
|
| 1039 |
+
"grad_norm": 0.4845636785030365,
|
| 1040 |
+
"learning_rate": 8.470588235294118e-06,
|
| 1041 |
+
"loss": 5.6672,
|
| 1042 |
+
"mean_token_accuracy": 0.27187123566865923,
|
| 1043 |
+
"num_tokens": 4708377.0,
|
| 1044 |
+
"step": 5050
|
| 1045 |
+
},
|
| 1046 |
+
{
|
| 1047 |
+
"entropy": 5.84138514995575,
|
| 1048 |
+
"epoch": 2.936096718480138,
|
| 1049 |
+
"grad_norm": 0.8487229943275452,
|
| 1050 |
+
"learning_rate": 8.354105998835179e-06,
|
| 1051 |
+
"loss": 5.6769,
|
| 1052 |
+
"mean_token_accuracy": 0.26995211571455,
|
| 1053 |
+
"num_tokens": 4753587.0,
|
| 1054 |
+
"step": 5100
|
| 1055 |
+
},
|
| 1056 |
+
{
|
| 1057 |
+
"entropy": 6.016681690216064,
|
| 1058 |
+
"epoch": 2.964881980426022,
|
| 1059 |
+
"grad_norm": 0.9554332494735718,
|
| 1060 |
+
"learning_rate": 8.237623762376238e-06,
|
| 1061 |
+
"loss": 5.8479,
|
| 1062 |
+
"mean_token_accuracy": 0.24785644590854644,
|
| 1063 |
+
"num_tokens": 4800508.0,
|
| 1064 |
+
"step": 5150
|
| 1065 |
+
},
|
| 1066 |
+
{
|
| 1067 |
+
"entropy": 6.103472499847412,
|
| 1068 |
+
"epoch": 2.9936672423719055,
|
| 1069 |
+
"grad_norm": 0.6602863669395447,
|
| 1070 |
+
"learning_rate": 8.121141525917298e-06,
|
| 1071 |
+
"loss": 5.9305,
|
| 1072 |
+
"mean_token_accuracy": 0.23794592499732972,
|
| 1073 |
+
"num_tokens": 4849415.0,
|
| 1074 |
+
"step": 5200
|
| 1075 |
+
},
|
| 1076 |
+
{
|
| 1077 |
+
"epoch": 3.0,
|
| 1078 |
+
"eval_entropy": 6.254081044878278,
|
| 1079 |
+
"eval_loss": 6.0980024337768555,
|
| 1080 |
+
"eval_mean_token_accuracy": 0.21401402258103894,
|
| 1081 |
+
"eval_model_preparation_time": 0.0036,
|
| 1082 |
+
"eval_num_tokens": 4859157.0,
|
| 1083 |
+
"eval_runtime": 75.9443,
|
| 1084 |
+
"eval_samples_per_second": 5.715,
|
| 1085 |
+
"eval_steps_per_second": 2.857,
|
| 1086 |
+
"step": 5211
|
| 1087 |
+
}
|
| 1088 |
+
],
|
| 1089 |
+
"logging_steps": 50,
|
| 1090 |
+
"max_steps": 8685,
|
| 1091 |
+
"num_input_tokens_seen": 0,
|
| 1092 |
+
"num_train_epochs": 5,
|
| 1093 |
+
"save_steps": 500,
|
| 1094 |
+
"stateful_callbacks": {
|
| 1095 |
+
"TrainerControl": {
|
| 1096 |
+
"args": {
|
| 1097 |
+
"should_epoch_stop": false,
|
| 1098 |
+
"should_evaluate": false,
|
| 1099 |
+
"should_log": false,
|
| 1100 |
+
"should_save": true,
|
| 1101 |
+
"should_training_stop": false
|
| 1102 |
+
},
|
| 1103 |
+
"attributes": {}
|
| 1104 |
+
}
|
| 1105 |
+
},
|
| 1106 |
+
"total_flos": 6.795785692717056e+16,
|
| 1107 |
+
"train_batch_size": 2,
|
| 1108 |
+
"trial_name": null,
|
| 1109 |
+
"trial_params": null
|
| 1110 |
+
}
|
checkpoint-5211/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:130d33149272782bd60306263c371036419926142b8999aad7806359168f8484
|
| 3 |
+
size 6225
|