Instructions to use Kaipengm2/ttt1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Kaipengm2/ttt1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/inspire/hdd/global_user/zhengkaipeng-240108120123/models/OneReason-0.8B-pretrain-competition") model = PeftModel.from_pretrained(base_model, "Kaipengm2/ttt1") - Transformers
How to use Kaipengm2/ttt1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Kaipengm2/ttt1") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Kaipengm2/ttt1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Kaipengm2/ttt1 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Kaipengm2/ttt1" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Kaipengm2/ttt1", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/Kaipengm2/ttt1
- SGLang
How to use Kaipengm2/ttt1 with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "Kaipengm2/ttt1" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Kaipengm2/ttt1", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "Kaipengm2/ttt1" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Kaipengm2/ttt1", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use Kaipengm2/ttt1 with Docker Model Runner:
docker model run hf.co/Kaipengm2/ttt1
Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- README.md +208 -0
- adapter_config.json +48 -0
- adapter_model.safetensors +3 -0
- chat_template.jinja +89 -0
- optimizer.pt +3 -0
- rng_state_0.pth +3 -0
- rng_state_1.pth +3 -0
- rng_state_2.pth +3 -0
- rng_state_3.pth +3 -0
- scheduler.pt +3 -0
- tokenizer.json +3 -0
- tokenizer_config.json +15 -0
- trainer_state.json +2239 -0
- training_args.bin +3 -0
.gitattributes
CHANGED
|
@@ -33,3 +33,4 @@ 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 |
+
tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
README.md
ADDED
|
@@ -0,0 +1,208 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: OpenOneRec/OneReason-0.8B-pretrain-competition
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:/inspire/hdd/global_user/zhengkaipeng-240108120123/models/OneReason-0.8B-pretrain-competition
|
| 7 |
+
- llama-factory
|
| 8 |
+
- lora
|
| 9 |
+
- transformers
|
| 10 |
+
---
|
| 11 |
+
|
| 12 |
+
# Model Card for Model ID
|
| 13 |
+
|
| 14 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 15 |
+
|
| 16 |
+
|
| 17 |
+
|
| 18 |
+
## Model Details
|
| 19 |
+
|
| 20 |
+
### Model Description
|
| 21 |
+
|
| 22 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 23 |
+
|
| 24 |
+
|
| 25 |
+
|
| 26 |
+
- **Developed by:** [More Information Needed]
|
| 27 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 28 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 29 |
+
- **Model type:** [More Information Needed]
|
| 30 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 31 |
+
- **License:** [More Information Needed]
|
| 32 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 33 |
+
|
| 34 |
+
### Model Sources [optional]
|
| 35 |
+
|
| 36 |
+
<!-- Provide the basic links for the model. -->
|
| 37 |
+
|
| 38 |
+
- **Repository:** [More Information Needed]
|
| 39 |
+
- **Paper [optional]:** [More Information Needed]
|
| 40 |
+
- **Demo [optional]:** [More Information Needed]
|
| 41 |
+
|
| 42 |
+
## Uses
|
| 43 |
+
|
| 44 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 45 |
+
|
| 46 |
+
### Direct Use
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Downstream Use [optional]
|
| 53 |
+
|
| 54 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
### Out-of-Scope Use
|
| 59 |
+
|
| 60 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
## Bias, Risks, and Limitations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 67 |
+
|
| 68 |
+
[More Information Needed]
|
| 69 |
+
|
| 70 |
+
### Recommendations
|
| 71 |
+
|
| 72 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 73 |
+
|
| 74 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 75 |
+
|
| 76 |
+
## How to Get Started with the Model
|
| 77 |
+
|
| 78 |
+
Use the code below to get started with the model.
|
| 79 |
+
|
| 80 |
+
[More Information Needed]
|
| 81 |
+
|
| 82 |
+
## Training Details
|
| 83 |
+
|
| 84 |
+
### Training Data
|
| 85 |
+
|
| 86 |
+
<!-- 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. -->
|
| 87 |
+
|
| 88 |
+
[More Information Needed]
|
| 89 |
+
|
| 90 |
+
### Training Procedure
|
| 91 |
+
|
| 92 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 93 |
+
|
| 94 |
+
#### Preprocessing [optional]
|
| 95 |
+
|
| 96 |
+
[More Information Needed]
|
| 97 |
+
|
| 98 |
+
|
| 99 |
+
#### Training Hyperparameters
|
| 100 |
+
|
| 101 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 102 |
+
|
| 103 |
+
#### Speeds, Sizes, Times [optional]
|
| 104 |
+
|
| 105 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 106 |
+
|
| 107 |
+
[More Information Needed]
|
| 108 |
+
|
| 109 |
+
## Evaluation
|
| 110 |
+
|
| 111 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 112 |
+
|
| 113 |
+
### Testing Data, Factors & Metrics
|
| 114 |
+
|
| 115 |
+
#### Testing Data
|
| 116 |
+
|
| 117 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Factors
|
| 122 |
+
|
| 123 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
#### Metrics
|
| 128 |
+
|
| 129 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 130 |
+
|
| 131 |
+
[More Information Needed]
|
| 132 |
+
|
| 133 |
+
### Results
|
| 134 |
+
|
| 135 |
+
[More Information Needed]
|
| 136 |
+
|
| 137 |
+
#### Summary
|
| 138 |
+
|
| 139 |
+
|
| 140 |
+
|
| 141 |
+
## Model Examination [optional]
|
| 142 |
+
|
| 143 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 144 |
+
|
| 145 |
+
[More Information Needed]
|
| 146 |
+
|
| 147 |
+
## Environmental Impact
|
| 148 |
+
|
| 149 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 150 |
+
|
| 151 |
+
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).
|
| 152 |
+
|
| 153 |
+
- **Hardware Type:** [More Information Needed]
|
| 154 |
+
- **Hours used:** [More Information Needed]
|
| 155 |
+
- **Cloud Provider:** [More Information Needed]
|
| 156 |
+
- **Compute Region:** [More Information Needed]
|
| 157 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 158 |
+
|
| 159 |
+
## Technical Specifications [optional]
|
| 160 |
+
|
| 161 |
+
### Model Architecture and Objective
|
| 162 |
+
|
| 163 |
+
[More Information Needed]
|
| 164 |
+
|
| 165 |
+
### Compute Infrastructure
|
| 166 |
+
|
| 167 |
+
[More Information Needed]
|
| 168 |
+
|
| 169 |
+
#### Hardware
|
| 170 |
+
|
| 171 |
+
[More Information Needed]
|
| 172 |
+
|
| 173 |
+
#### Software
|
| 174 |
+
|
| 175 |
+
[More Information Needed]
|
| 176 |
+
|
| 177 |
+
## Citation [optional]
|
| 178 |
+
|
| 179 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 180 |
+
|
| 181 |
+
**BibTeX:**
|
| 182 |
+
|
| 183 |
+
[More Information Needed]
|
| 184 |
+
|
| 185 |
+
**APA:**
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## Glossary [optional]
|
| 190 |
+
|
| 191 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 192 |
+
|
| 193 |
+
[More Information Needed]
|
| 194 |
+
|
| 195 |
+
## More Information [optional]
|
| 196 |
+
|
| 197 |
+
[More Information Needed]
|
| 198 |
+
|
| 199 |
+
## Model Card Authors [optional]
|
| 200 |
+
|
| 201 |
+
[More Information Needed]
|
| 202 |
+
|
| 203 |
+
## Model Card Contact
|
| 204 |
+
|
| 205 |
+
[More Information Needed]
|
| 206 |
+
### Framework versions
|
| 207 |
+
|
| 208 |
+
- PEFT 0.19.1
|
adapter_config.json
ADDED
|
@@ -0,0 +1,48 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
+
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "/inspire/hdd/global_user/zhengkaipeng-240108120123/models/OneReason-0.8B-pretrain-competition",
|
| 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": 32,
|
| 20 |
+
"lora_bias": false,
|
| 21 |
+
"lora_dropout": 0.05,
|
| 22 |
+
"lora_ga_config": null,
|
| 23 |
+
"megatron_config": null,
|
| 24 |
+
"megatron_core": "megatron.core",
|
| 25 |
+
"modules_to_save": null,
|
| 26 |
+
"peft_type": "LORA",
|
| 27 |
+
"peft_version": "0.19.1",
|
| 28 |
+
"qalora_group_size": 16,
|
| 29 |
+
"r": 16,
|
| 30 |
+
"rank_pattern": {},
|
| 31 |
+
"revision": null,
|
| 32 |
+
"target_modules": [
|
| 33 |
+
"k_proj",
|
| 34 |
+
"q_proj",
|
| 35 |
+
"o_proj",
|
| 36 |
+
"v_proj",
|
| 37 |
+
"down_proj",
|
| 38 |
+
"up_proj",
|
| 39 |
+
"gate_proj"
|
| 40 |
+
],
|
| 41 |
+
"target_parameters": null,
|
| 42 |
+
"task_type": "CAUSAL_LM",
|
| 43 |
+
"trainable_token_indices": null,
|
| 44 |
+
"use_bdlora": null,
|
| 45 |
+
"use_dora": false,
|
| 46 |
+
"use_qalora": false,
|
| 47 |
+
"use_rslora": false
|
| 48 |
+
}
|
adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cbd0a8a1e456b7854eada322ef2e63d9e565a1b71a8521aa7885458a496f439b
|
| 3 |
+
size 40422168
|
chat_template.jinja
ADDED
|
@@ -0,0 +1,89 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{%- if tools %}
|
| 2 |
+
{{- '<|im_start|>system\n' }}
|
| 3 |
+
{%- if messages[0].role == 'system' %}
|
| 4 |
+
{{- messages[0].content + '\n\n' }}
|
| 5 |
+
{%- endif %}
|
| 6 |
+
{{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
|
| 7 |
+
{%- for tool in tools %}
|
| 8 |
+
{{- "\n" }}
|
| 9 |
+
{{- tool | tojson }}
|
| 10 |
+
{%- endfor %}
|
| 11 |
+
{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
|
| 12 |
+
{%- else %}
|
| 13 |
+
{%- if messages[0].role == 'system' %}
|
| 14 |
+
{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
|
| 15 |
+
{%- endif %}
|
| 16 |
+
{%- endif %}
|
| 17 |
+
{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
|
| 18 |
+
{%- for message in messages[::-1] %}
|
| 19 |
+
{%- set index = (messages|length - 1) - loop.index0 %}
|
| 20 |
+
{%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
|
| 21 |
+
{%- set ns.multi_step_tool = false %}
|
| 22 |
+
{%- set ns.last_query_index = index %}
|
| 23 |
+
{%- endif %}
|
| 24 |
+
{%- endfor %}
|
| 25 |
+
{%- for message in messages %}
|
| 26 |
+
{%- if message.content is string %}
|
| 27 |
+
{%- set content = message.content %}
|
| 28 |
+
{%- else %}
|
| 29 |
+
{%- set content = '' %}
|
| 30 |
+
{%- endif %}
|
| 31 |
+
{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
|
| 32 |
+
{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
|
| 33 |
+
{%- elif message.role == "assistant" %}
|
| 34 |
+
{%- set reasoning_content = '' %}
|
| 35 |
+
{%- if message.reasoning_content is string %}
|
| 36 |
+
{%- set reasoning_content = message.reasoning_content %}
|
| 37 |
+
{%- else %}
|
| 38 |
+
{%- if '</think>' in content %}
|
| 39 |
+
{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
|
| 40 |
+
{%- set content = content.split('</think>')[-1].lstrip('\n') %}
|
| 41 |
+
{%- endif %}
|
| 42 |
+
{%- endif %}
|
| 43 |
+
{%- if loop.index0 > ns.last_query_index %}
|
| 44 |
+
{%- if loop.last or (not loop.last and reasoning_content) %}
|
| 45 |
+
{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
|
| 46 |
+
{%- else %}
|
| 47 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 48 |
+
{%- endif %}
|
| 49 |
+
{%- else %}
|
| 50 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 51 |
+
{%- endif %}
|
| 52 |
+
{%- if message.tool_calls %}
|
| 53 |
+
{%- for tool_call in message.tool_calls %}
|
| 54 |
+
{%- if (loop.first and content) or (not loop.first) %}
|
| 55 |
+
{{- '\n' }}
|
| 56 |
+
{%- endif %}
|
| 57 |
+
{%- if tool_call.function %}
|
| 58 |
+
{%- set tool_call = tool_call.function %}
|
| 59 |
+
{%- endif %}
|
| 60 |
+
{{- '<tool_call>\n{"name": "' }}
|
| 61 |
+
{{- tool_call.name }}
|
| 62 |
+
{{- '", "arguments": ' }}
|
| 63 |
+
{%- if tool_call.arguments is string %}
|
| 64 |
+
{{- tool_call.arguments }}
|
| 65 |
+
{%- else %}
|
| 66 |
+
{{- tool_call.arguments | tojson }}
|
| 67 |
+
{%- endif %}
|
| 68 |
+
{{- '}\n</tool_call>' }}
|
| 69 |
+
{%- endfor %}
|
| 70 |
+
{%- endif %}
|
| 71 |
+
{{- '<|im_end|>\n' }}
|
| 72 |
+
{%- elif message.role == "tool" %}
|
| 73 |
+
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
|
| 74 |
+
{{- '<|im_start|>user' }}
|
| 75 |
+
{%- endif %}
|
| 76 |
+
{{- '\n<tool_response>\n' }}
|
| 77 |
+
{{- content }}
|
| 78 |
+
{{- '\n</tool_response>' }}
|
| 79 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
| 80 |
+
{{- '<|im_end|>\n' }}
|
| 81 |
+
{%- endif %}
|
| 82 |
+
{%- endif %}
|
| 83 |
+
{%- endfor %}
|
| 84 |
+
{%- if add_generation_prompt %}
|
| 85 |
+
{{- '<|im_start|>assistant\n' }}
|
| 86 |
+
{%- if enable_thinking is defined and enable_thinking is false %}
|
| 87 |
+
{{- '<think>\n\n</think>\n\n' }}
|
| 88 |
+
{%- endif %}
|
| 89 |
+
{%- endif %}
|
optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6d1d7593e74358c3fad8f191c84094d1fb0c664c1d50c43480f5a8162a843bdd
|
| 3 |
+
size 81070011
|
rng_state_0.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a7b10b7ade3ff8a895349c3e5b91887c0c18f8b42a46572846ad87b9ee63eace
|
| 3 |
+
size 15365
|
rng_state_1.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6ea959a5645f7c5ebc1b91409d990726497c4b54b72eec3b54167a14df820e35
|
| 3 |
+
size 15365
|
rng_state_2.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d611ef6fbd005d5f7db64937f17b255f2e403642dd46e5a9fb2368f2e34d22ab
|
| 3 |
+
size 15365
|
rng_state_3.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:74629a8e6f29096edce05b416b5fa3f86ea6a45228b8aa5d8a5d95faf0d45bb5
|
| 3 |
+
size 15365
|
scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1c2ebc3788a701ccb3344ba5ca5c755cb3a0d8b55468d8ff372ddfc65e68f526
|
| 3 |
+
size 1465
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cd4d15f596979aecbc11ba12668cb21c9fb8452ce1235cd9d7878cc950170421
|
| 3 |
+
size 16016554
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"backend": "tokenizers",
|
| 4 |
+
"bos_token": null,
|
| 5 |
+
"clean_up_tokenization_spaces": false,
|
| 6 |
+
"eos_token": "<|im_end|>",
|
| 7 |
+
"errors": "replace",
|
| 8 |
+
"is_local": true,
|
| 9 |
+
"model_max_length": 131072,
|
| 10 |
+
"pad_token": "<|endoftext|>",
|
| 11 |
+
"padding_side": "right",
|
| 12 |
+
"split_special_tokens": false,
|
| 13 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 14 |
+
"unk_token": null
|
| 15 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,2239 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 1.0,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 1578,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.0031685678073510772,
|
| 14 |
+
"grad_norm": 7.043147563934326,
|
| 15 |
+
"learning_rate": 8.333333333333334e-06,
|
| 16 |
+
"loss": 2.981099319458008,
|
| 17 |
+
"step": 5
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 0.0063371356147021544,
|
| 21 |
+
"grad_norm": 3.7476859092712402,
|
| 22 |
+
"learning_rate": 1.8750000000000002e-05,
|
| 23 |
+
"loss": 2.8805755615234374,
|
| 24 |
+
"step": 10
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.009505703422053232,
|
| 28 |
+
"grad_norm": 2.1162047386169434,
|
| 29 |
+
"learning_rate": 2.916666666666667e-05,
|
| 30 |
+
"loss": 2.704869270324707,
|
| 31 |
+
"step": 15
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.012674271229404309,
|
| 35 |
+
"grad_norm": 1.3651797771453857,
|
| 36 |
+
"learning_rate": 3.958333333333333e-05,
|
| 37 |
+
"loss": 2.654892921447754,
|
| 38 |
+
"step": 20
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.015842839036755388,
|
| 42 |
+
"grad_norm": 1.0428181886672974,
|
| 43 |
+
"learning_rate": 5e-05,
|
| 44 |
+
"loss": 2.4319393157958986,
|
| 45 |
+
"step": 25
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.019011406844106463,
|
| 49 |
+
"grad_norm": 0.8075228333473206,
|
| 50 |
+
"learning_rate": 6.041666666666667e-05,
|
| 51 |
+
"loss": 2.356492042541504,
|
| 52 |
+
"step": 30
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 0.022179974651457542,
|
| 56 |
+
"grad_norm": 0.8686707615852356,
|
| 57 |
+
"learning_rate": 7.083333333333334e-05,
|
| 58 |
+
"loss": 2.2213909149169924,
|
| 59 |
+
"step": 35
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 0.025348542458808618,
|
| 63 |
+
"grad_norm": 0.6699849963188171,
|
| 64 |
+
"learning_rate": 8.125000000000001e-05,
|
| 65 |
+
"loss": 2.1557392120361327,
|
| 66 |
+
"step": 40
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.028517110266159697,
|
| 70 |
+
"grad_norm": 0.7378506660461426,
|
| 71 |
+
"learning_rate": 9.166666666666667e-05,
|
| 72 |
+
"loss": 1.993387794494629,
|
| 73 |
+
"step": 45
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 0.031685678073510776,
|
| 77 |
+
"grad_norm": 0.7126041054725647,
|
| 78 |
+
"learning_rate": 9.999989459608555e-05,
|
| 79 |
+
"loss": 2.005228614807129,
|
| 80 |
+
"step": 50
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.03485424588086185,
|
| 84 |
+
"grad_norm": 0.7284029126167297,
|
| 85 |
+
"learning_rate": 9.999620550574153e-05,
|
| 86 |
+
"loss": 1.9586082458496095,
|
| 87 |
+
"step": 55
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.03802281368821293,
|
| 91 |
+
"grad_norm": 0.6403422355651855,
|
| 92 |
+
"learning_rate": 9.998724666406601e-05,
|
| 93 |
+
"loss": 1.843195915222168,
|
| 94 |
+
"step": 60
|
| 95 |
+
},
|
| 96 |
+
{
|
| 97 |
+
"epoch": 0.041191381495564006,
|
| 98 |
+
"grad_norm": 0.8365342020988464,
|
| 99 |
+
"learning_rate": 9.997301901534797e-05,
|
| 100 |
+
"loss": 1.8246192932128906,
|
| 101 |
+
"step": 65
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 0.044359949302915085,
|
| 105 |
+
"grad_norm": 0.704372227191925,
|
| 106 |
+
"learning_rate": 9.995352405922467e-05,
|
| 107 |
+
"loss": 1.8255279541015625,
|
| 108 |
+
"step": 70
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"epoch": 0.04752851711026616,
|
| 112 |
+
"grad_norm": 0.7694789171218872,
|
| 113 |
+
"learning_rate": 9.992876385052345e-05,
|
| 114 |
+
"loss": 1.7635623931884765,
|
| 115 |
+
"step": 75
|
| 116 |
+
},
|
| 117 |
+
{
|
| 118 |
+
"epoch": 0.050697084917617236,
|
| 119 |
+
"grad_norm": 0.8334874510765076,
|
| 120 |
+
"learning_rate": 9.989874099904524e-05,
|
| 121 |
+
"loss": 1.7773487091064453,
|
| 122 |
+
"step": 80
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 0.053865652724968315,
|
| 126 |
+
"grad_norm": 0.7224839925765991,
|
| 127 |
+
"learning_rate": 9.986345866928941e-05,
|
| 128 |
+
"loss": 1.7267620086669921,
|
| 129 |
+
"step": 85
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.057034220532319393,
|
| 133 |
+
"grad_norm": 0.8135210871696472,
|
| 134 |
+
"learning_rate": 9.982292058012027e-05,
|
| 135 |
+
"loss": 1.7537405014038085,
|
| 136 |
+
"step": 90
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"epoch": 0.060202788339670466,
|
| 140 |
+
"grad_norm": 0.7969468235969543,
|
| 141 |
+
"learning_rate": 9.977713100437509e-05,
|
| 142 |
+
"loss": 1.7349861145019532,
|
| 143 |
+
"step": 95
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 0.06337135614702155,
|
| 147 |
+
"grad_norm": 0.8676604628562927,
|
| 148 |
+
"learning_rate": 9.972609476841367e-05,
|
| 149 |
+
"loss": 1.7168376922607422,
|
| 150 |
+
"step": 100
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"epoch": 0.06653992395437262,
|
| 154 |
+
"grad_norm": 0.7579165697097778,
|
| 155 |
+
"learning_rate": 9.966981725160973e-05,
|
| 156 |
+
"loss": 1.674065399169922,
|
| 157 |
+
"step": 105
|
| 158 |
+
},
|
| 159 |
+
{
|
| 160 |
+
"epoch": 0.0697084917617237,
|
| 161 |
+
"grad_norm": 0.7227125763893127,
|
| 162 |
+
"learning_rate": 9.960830438578378e-05,
|
| 163 |
+
"loss": 1.7271408081054687,
|
| 164 |
+
"step": 110
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 0.07287705956907478,
|
| 168 |
+
"grad_norm": 0.7979081869125366,
|
| 169 |
+
"learning_rate": 9.954156265457801e-05,
|
| 170 |
+
"loss": 1.6801246643066405,
|
| 171 |
+
"step": 115
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 0.07604562737642585,
|
| 175 |
+
"grad_norm": 0.6576427221298218,
|
| 176 |
+
"learning_rate": 9.946959909277285e-05,
|
| 177 |
+
"loss": 1.6519655227661132,
|
| 178 |
+
"step": 120
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"epoch": 0.07921419518377694,
|
| 182 |
+
"grad_norm": 0.8050142526626587,
|
| 183 |
+
"learning_rate": 9.939242128554542e-05,
|
| 184 |
+
"loss": 1.6250421524047851,
|
| 185 |
+
"step": 125
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 0.08238276299112801,
|
| 189 |
+
"grad_norm": 0.7610289454460144,
|
| 190 |
+
"learning_rate": 9.931003736767013e-05,
|
| 191 |
+
"loss": 1.646671676635742,
|
| 192 |
+
"step": 130
|
| 193 |
+
},
|
| 194 |
+
{
|
| 195 |
+
"epoch": 0.08555133079847908,
|
| 196 |
+
"grad_norm": 0.7286546230316162,
|
| 197 |
+
"learning_rate": 9.922245602266118e-05,
|
| 198 |
+
"loss": 1.6335386276245116,
|
| 199 |
+
"step": 135
|
| 200 |
+
},
|
| 201 |
+
{
|
| 202 |
+
"epoch": 0.08871989860583017,
|
| 203 |
+
"grad_norm": 0.8246539235115051,
|
| 204 |
+
"learning_rate": 9.912968648185734e-05,
|
| 205 |
+
"loss": 1.6397796630859376,
|
| 206 |
+
"step": 140
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 0.09188846641318124,
|
| 210 |
+
"grad_norm": 0.8313826322555542,
|
| 211 |
+
"learning_rate": 9.903173852344889e-05,
|
| 212 |
+
"loss": 1.6269981384277343,
|
| 213 |
+
"step": 145
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"epoch": 0.09505703422053231,
|
| 217 |
+
"grad_norm": 0.8203248977661133,
|
| 218 |
+
"learning_rate": 9.892862247144701e-05,
|
| 219 |
+
"loss": 1.5818193435668946,
|
| 220 |
+
"step": 150
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"epoch": 0.0982256020278834,
|
| 224 |
+
"grad_norm": 0.8538872599601746,
|
| 225 |
+
"learning_rate": 9.882034919459555e-05,
|
| 226 |
+
"loss": 1.5892969131469727,
|
| 227 |
+
"step": 155
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 0.10139416983523447,
|
| 231 |
+
"grad_norm": 1.470503568649292,
|
| 232 |
+
"learning_rate": 9.870693010522552e-05,
|
| 233 |
+
"loss": 1.5248340606689452,
|
| 234 |
+
"step": 160
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 0.10456273764258556,
|
| 238 |
+
"grad_norm": 0.8072368502616882,
|
| 239 |
+
"learning_rate": 9.858837715805208e-05,
|
| 240 |
+
"loss": 1.5973053932189942,
|
| 241 |
+
"step": 165
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"epoch": 0.10773130544993663,
|
| 245 |
+
"grad_norm": 0.8948448300361633,
|
| 246 |
+
"learning_rate": 9.846470284891456e-05,
|
| 247 |
+
"loss": 1.6363914489746094,
|
| 248 |
+
"step": 170
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 0.1108998732572877,
|
| 252 |
+
"grad_norm": 0.8655192255973816,
|
| 253 |
+
"learning_rate": 9.833592021345937e-05,
|
| 254 |
+
"loss": 1.6859859466552733,
|
| 255 |
+
"step": 175
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 0.11406844106463879,
|
| 259 |
+
"grad_norm": 0.9880424737930298,
|
| 260 |
+
"learning_rate": 9.820204282576593e-05,
|
| 261 |
+
"loss": 1.574641799926758,
|
| 262 |
+
"step": 180
|
| 263 |
+
},
|
| 264 |
+
{
|
| 265 |
+
"epoch": 0.11723700887198986,
|
| 266 |
+
"grad_norm": 0.7979195713996887,
|
| 267 |
+
"learning_rate": 9.806308479691595e-05,
|
| 268 |
+
"loss": 1.593592929840088,
|
| 269 |
+
"step": 185
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 0.12040557667934093,
|
| 273 |
+
"grad_norm": 0.8876345157623291,
|
| 274 |
+
"learning_rate": 9.791906077350612e-05,
|
| 275 |
+
"loss": 1.5453405380249023,
|
| 276 |
+
"step": 190
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 0.12357414448669202,
|
| 280 |
+
"grad_norm": 0.7818175554275513,
|
| 281 |
+
"learning_rate": 9.776998593610428e-05,
|
| 282 |
+
"loss": 1.6270465850830078,
|
| 283 |
+
"step": 195
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"epoch": 0.1267427122940431,
|
| 287 |
+
"grad_norm": 0.8810750246047974,
|
| 288 |
+
"learning_rate": 9.761587599764932e-05,
|
| 289 |
+
"loss": 1.5692276000976562,
|
| 290 |
+
"step": 200
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 0.12991128010139416,
|
| 294 |
+
"grad_norm": 0.8968422412872314,
|
| 295 |
+
"learning_rate": 9.745674720179508e-05,
|
| 296 |
+
"loss": 1.5278916358947754,
|
| 297 |
+
"step": 205
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 0.13307984790874525,
|
| 301 |
+
"grad_norm": 0.8381748795509338,
|
| 302 |
+
"learning_rate": 9.729261632119806e-05,
|
| 303 |
+
"loss": 1.5704171180725097,
|
| 304 |
+
"step": 210
|
| 305 |
+
},
|
| 306 |
+
{
|
| 307 |
+
"epoch": 0.13624841571609633,
|
| 308 |
+
"grad_norm": 1.0442235469818115,
|
| 309 |
+
"learning_rate": 9.71235006557497e-05,
|
| 310 |
+
"loss": 1.5022503852844238,
|
| 311 |
+
"step": 215
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"epoch": 0.1394169835234474,
|
| 315 |
+
"grad_norm": 0.7912348508834839,
|
| 316 |
+
"learning_rate": 9.694941803075283e-05,
|
| 317 |
+
"loss": 1.5598048210144042,
|
| 318 |
+
"step": 220
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 0.14258555133079848,
|
| 322 |
+
"grad_norm": 0.8984694480895996,
|
| 323 |
+
"learning_rate": 9.677038679504285e-05,
|
| 324 |
+
"loss": 1.6556865692138671,
|
| 325 |
+
"step": 225
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"epoch": 0.14575411913814956,
|
| 329 |
+
"grad_norm": 0.9488692879676819,
|
| 330 |
+
"learning_rate": 9.658642581905366e-05,
|
| 331 |
+
"loss": 1.6171920776367188,
|
| 332 |
+
"step": 230
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 0.14892268694550062,
|
| 336 |
+
"grad_norm": 0.8743675947189331,
|
| 337 |
+
"learning_rate": 9.639755449282875e-05,
|
| 338 |
+
"loss": 1.5999393463134766,
|
| 339 |
+
"step": 235
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 0.1520912547528517,
|
| 343 |
+
"grad_norm": 1.178044080734253,
|
| 344 |
+
"learning_rate": 9.620379272397735e-05,
|
| 345 |
+
"loss": 1.5196931838989258,
|
| 346 |
+
"step": 240
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 0.1552598225602028,
|
| 350 |
+
"grad_norm": 0.863906741142273,
|
| 351 |
+
"learning_rate": 9.600516093557617e-05,
|
| 352 |
+
"loss": 1.5039121627807617,
|
| 353 |
+
"step": 245
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 0.15842839036755388,
|
| 357 |
+
"grad_norm": 1.0000500679016113,
|
| 358 |
+
"learning_rate": 9.580168006401668e-05,
|
| 359 |
+
"loss": 1.4933100700378419,
|
| 360 |
+
"step": 250
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 0.16159695817490494,
|
| 364 |
+
"grad_norm": 0.8667544722557068,
|
| 365 |
+
"learning_rate": 9.559337155679842e-05,
|
| 366 |
+
"loss": 1.5648080825805664,
|
| 367 |
+
"step": 255
|
| 368 |
+
},
|
| 369 |
+
{
|
| 370 |
+
"epoch": 0.16476552598225602,
|
| 371 |
+
"grad_norm": 0.8225997090339661,
|
| 372 |
+
"learning_rate": 9.538025737026832e-05,
|
| 373 |
+
"loss": 1.4912095069885254,
|
| 374 |
+
"step": 260
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 0.1679340937896071,
|
| 378 |
+
"grad_norm": 0.8068106174468994,
|
| 379 |
+
"learning_rate": 9.516235996730645e-05,
|
| 380 |
+
"loss": 1.4858381271362304,
|
| 381 |
+
"step": 265
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 0.17110266159695817,
|
| 385 |
+
"grad_norm": 0.9467447400093079,
|
| 386 |
+
"learning_rate": 9.493970231495835e-05,
|
| 387 |
+
"loss": 1.524880313873291,
|
| 388 |
+
"step": 270
|
| 389 |
+
},
|
| 390 |
+
{
|
| 391 |
+
"epoch": 0.17427122940430925,
|
| 392 |
+
"grad_norm": 0.8453680276870728,
|
| 393 |
+
"learning_rate": 9.471230788201429e-05,
|
| 394 |
+
"loss": 1.5124773979187012,
|
| 395 |
+
"step": 275
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 0.17743979721166034,
|
| 399 |
+
"grad_norm": 0.9061563014984131,
|
| 400 |
+
"learning_rate": 9.448020063653549e-05,
|
| 401 |
+
"loss": 1.49342622756958,
|
| 402 |
+
"step": 280
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 0.1806083650190114,
|
| 406 |
+
"grad_norm": 0.8865219950675964,
|
| 407 |
+
"learning_rate": 9.424340504332791e-05,
|
| 408 |
+
"loss": 1.4923158645629884,
|
| 409 |
+
"step": 285
|
| 410 |
+
},
|
| 411 |
+
{
|
| 412 |
+
"epoch": 0.18377693282636248,
|
| 413 |
+
"grad_norm": 0.9014965295791626,
|
| 414 |
+
"learning_rate": 9.400194606136354e-05,
|
| 415 |
+
"loss": 1.523708438873291,
|
| 416 |
+
"step": 290
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 0.18694550063371357,
|
| 420 |
+
"grad_norm": 0.8378658890724182,
|
| 421 |
+
"learning_rate": 9.375584914114963e-05,
|
| 422 |
+
"loss": 1.5758267402648927,
|
| 423 |
+
"step": 295
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 0.19011406844106463,
|
| 427 |
+
"grad_norm": 0.8867623805999756,
|
| 428 |
+
"learning_rate": 9.350514022204622e-05,
|
| 429 |
+
"loss": 1.5432629585266113,
|
| 430 |
+
"step": 300
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"epoch": 0.1932826362484157,
|
| 434 |
+
"grad_norm": 0.995186448097229,
|
| 435 |
+
"learning_rate": 9.32498457295319e-05,
|
| 436 |
+
"loss": 1.5024199485778809,
|
| 437 |
+
"step": 305
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 0.1964512040557668,
|
| 441 |
+
"grad_norm": 0.894067108631134,
|
| 442 |
+
"learning_rate": 9.298999257241863e-05,
|
| 443 |
+
"loss": 1.4737892150878906,
|
| 444 |
+
"step": 310
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 0.19961977186311788,
|
| 448 |
+
"grad_norm": 0.9223262667655945,
|
| 449 |
+
"learning_rate": 9.272560814001539e-05,
|
| 450 |
+
"loss": 1.5003498077392579,
|
| 451 |
+
"step": 315
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"epoch": 0.20278833967046894,
|
| 455 |
+
"grad_norm": 1.0859758853912354,
|
| 456 |
+
"learning_rate": 9.245672029924128e-05,
|
| 457 |
+
"loss": 1.4052498817443848,
|
| 458 |
+
"step": 320
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 0.20595690747782003,
|
| 462 |
+
"grad_norm": 0.8554385900497437,
|
| 463 |
+
"learning_rate": 9.218335739168833e-05,
|
| 464 |
+
"loss": 1.4594630241394042,
|
| 465 |
+
"step": 325
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 0.20912547528517111,
|
| 469 |
+
"grad_norm": 0.9641969203948975,
|
| 470 |
+
"learning_rate": 9.190554823063403e-05,
|
| 471 |
+
"loss": 1.5072848320007324,
|
| 472 |
+
"step": 330
|
| 473 |
+
},
|
| 474 |
+
{
|
| 475 |
+
"epoch": 0.21229404309252217,
|
| 476 |
+
"grad_norm": 1.013372778892517,
|
| 477 |
+
"learning_rate": 9.162332209800455e-05,
|
| 478 |
+
"loss": 1.466813850402832,
|
| 479 |
+
"step": 335
|
| 480 |
+
},
|
| 481 |
+
{
|
| 482 |
+
"epoch": 0.21546261089987326,
|
| 483 |
+
"grad_norm": 0.886248767375946,
|
| 484 |
+
"learning_rate": 9.133670874128817e-05,
|
| 485 |
+
"loss": 1.4878669738769532,
|
| 486 |
+
"step": 340
|
| 487 |
+
},
|
| 488 |
+
{
|
| 489 |
+
"epoch": 0.21863117870722434,
|
| 490 |
+
"grad_norm": 0.9179723262786865,
|
| 491 |
+
"learning_rate": 9.104573837039992e-05,
|
| 492 |
+
"loss": 1.4538299560546875,
|
| 493 |
+
"step": 345
|
| 494 |
+
},
|
| 495 |
+
{
|
| 496 |
+
"epoch": 0.2217997465145754,
|
| 497 |
+
"grad_norm": 0.8039515018463135,
|
| 498 |
+
"learning_rate": 9.075044165449719e-05,
|
| 499 |
+
"loss": 1.4979578971862793,
|
| 500 |
+
"step": 350
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 0.2249683143219265,
|
| 504 |
+
"grad_norm": 1.012426733970642,
|
| 505 |
+
"learning_rate": 9.045084971874738e-05,
|
| 506 |
+
"loss": 1.4779088973999024,
|
| 507 |
+
"step": 355
|
| 508 |
+
},
|
| 509 |
+
{
|
| 510 |
+
"epoch": 0.22813688212927757,
|
| 511 |
+
"grad_norm": 0.986335813999176,
|
| 512 |
+
"learning_rate": 9.014699414104692e-05,
|
| 513 |
+
"loss": 1.465938186645508,
|
| 514 |
+
"step": 360
|
| 515 |
+
},
|
| 516 |
+
{
|
| 517 |
+
"epoch": 0.23130544993662863,
|
| 518 |
+
"grad_norm": 0.9080740809440613,
|
| 519 |
+
"learning_rate": 8.983890694869312e-05,
|
| 520 |
+
"loss": 1.4629207611083985,
|
| 521 |
+
"step": 365
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 0.23447401774397972,
|
| 525 |
+
"grad_norm": 0.934339702129364,
|
| 526 |
+
"learning_rate": 8.952662061500817e-05,
|
| 527 |
+
"loss": 1.457223892211914,
|
| 528 |
+
"step": 370
|
| 529 |
+
},
|
| 530 |
+
{
|
| 531 |
+
"epoch": 0.2376425855513308,
|
| 532 |
+
"grad_norm": 0.8736027479171753,
|
| 533 |
+
"learning_rate": 8.921016805591654e-05,
|
| 534 |
+
"loss": 1.4560219764709472,
|
| 535 |
+
"step": 375
|
| 536 |
+
},
|
| 537 |
+
{
|
| 538 |
+
"epoch": 0.24081115335868186,
|
| 539 |
+
"grad_norm": 0.9550614356994629,
|
| 540 |
+
"learning_rate": 8.88895826264754e-05,
|
| 541 |
+
"loss": 1.5248393058776855,
|
| 542 |
+
"step": 380
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"epoch": 0.24397972116603295,
|
| 546 |
+
"grad_norm": 0.9169988036155701,
|
| 547 |
+
"learning_rate": 8.856489811735903e-05,
|
| 548 |
+
"loss": 1.5106586456298827,
|
| 549 |
+
"step": 385
|
| 550 |
+
},
|
| 551 |
+
{
|
| 552 |
+
"epoch": 0.24714828897338403,
|
| 553 |
+
"grad_norm": 0.8996412754058838,
|
| 554 |
+
"learning_rate": 8.823614875129706e-05,
|
| 555 |
+
"loss": 1.4565364837646484,
|
| 556 |
+
"step": 390
|
| 557 |
+
},
|
| 558 |
+
{
|
| 559 |
+
"epoch": 0.2503168567807351,
|
| 560 |
+
"grad_norm": 0.8500154614448547,
|
| 561 |
+
"learning_rate": 8.790336917946737e-05,
|
| 562 |
+
"loss": 1.4416918754577637,
|
| 563 |
+
"step": 395
|
| 564 |
+
},
|
| 565 |
+
{
|
| 566 |
+
"epoch": 0.2534854245880862,
|
| 567 |
+
"grad_norm": 0.7929876446723938,
|
| 568 |
+
"learning_rate": 8.756659447784368e-05,
|
| 569 |
+
"loss": 1.4593412399291992,
|
| 570 |
+
"step": 400
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 0.25665399239543724,
|
| 574 |
+
"grad_norm": 1.167829155921936,
|
| 575 |
+
"learning_rate": 8.72258601434985e-05,
|
| 576 |
+
"loss": 1.4202542304992676,
|
| 577 |
+
"step": 405
|
| 578 |
+
},
|
| 579 |
+
{
|
| 580 |
+
"epoch": 0.2598225602027883,
|
| 581 |
+
"grad_norm": 0.8008830547332764,
|
| 582 |
+
"learning_rate": 8.688120209086165e-05,
|
| 583 |
+
"loss": 1.4504500389099122,
|
| 584 |
+
"step": 410
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 0.2629911280101394,
|
| 588 |
+
"grad_norm": 0.936578094959259,
|
| 589 |
+
"learning_rate": 8.653265664793467e-05,
|
| 590 |
+
"loss": 1.4489995956420898,
|
| 591 |
+
"step": 415
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 0.2661596958174905,
|
| 595 |
+
"grad_norm": 0.9912587404251099,
|
| 596 |
+
"learning_rate": 8.618026055246183e-05,
|
| 597 |
+
"loss": 1.4207334518432617,
|
| 598 |
+
"step": 420
|
| 599 |
+
},
|
| 600 |
+
{
|
| 601 |
+
"epoch": 0.2693282636248416,
|
| 602 |
+
"grad_norm": 1.0229488611221313,
|
| 603 |
+
"learning_rate": 8.58240509480578e-05,
|
| 604 |
+
"loss": 1.5463509559631348,
|
| 605 |
+
"step": 425
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 0.27249683143219267,
|
| 609 |
+
"grad_norm": 0.8335016965866089,
|
| 610 |
+
"learning_rate": 8.546406538029269e-05,
|
| 611 |
+
"loss": 1.4976566314697266,
|
| 612 |
+
"step": 430
|
| 613 |
+
},
|
| 614 |
+
{
|
| 615 |
+
"epoch": 0.27566539923954375,
|
| 616 |
+
"grad_norm": 1.0242607593536377,
|
| 617 |
+
"learning_rate": 8.510034179273449e-05,
|
| 618 |
+
"loss": 1.4665711402893067,
|
| 619 |
+
"step": 435
|
| 620 |
+
},
|
| 621 |
+
{
|
| 622 |
+
"epoch": 0.2788339670468948,
|
| 623 |
+
"grad_norm": 0.833751380443573,
|
| 624 |
+
"learning_rate": 8.473291852294987e-05,
|
| 625 |
+
"loss": 1.5367077827453612,
|
| 626 |
+
"step": 440
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 0.28200253485424587,
|
| 630 |
+
"grad_norm": 0.9694119691848755,
|
| 631 |
+
"learning_rate": 8.436183429846313e-05,
|
| 632 |
+
"loss": 1.420050811767578,
|
| 633 |
+
"step": 445
|
| 634 |
+
},
|
| 635 |
+
{
|
| 636 |
+
"epoch": 0.28517110266159695,
|
| 637 |
+
"grad_norm": 0.9861839413642883,
|
| 638 |
+
"learning_rate": 8.398712823267434e-05,
|
| 639 |
+
"loss": 1.3972441673278808,
|
| 640 |
+
"step": 450
|
| 641 |
+
},
|
| 642 |
+
{
|
| 643 |
+
"epoch": 0.28833967046894804,
|
| 644 |
+
"grad_norm": 0.7589554190635681,
|
| 645 |
+
"learning_rate": 8.360883982073653e-05,
|
| 646 |
+
"loss": 1.4342703819274902,
|
| 647 |
+
"step": 455
|
| 648 |
+
},
|
| 649 |
+
{
|
| 650 |
+
"epoch": 0.2915082382762991,
|
| 651 |
+
"grad_norm": 1.1326944828033447,
|
| 652 |
+
"learning_rate": 8.32270089353929e-05,
|
| 653 |
+
"loss": 1.4997499465942383,
|
| 654 |
+
"step": 460
|
| 655 |
+
},
|
| 656 |
+
{
|
| 657 |
+
"epoch": 0.2946768060836502,
|
| 658 |
+
"grad_norm": 0.9897761940956116,
|
| 659 |
+
"learning_rate": 8.284167582277406e-05,
|
| 660 |
+
"loss": 1.366450881958008,
|
| 661 |
+
"step": 465
|
| 662 |
+
},
|
| 663 |
+
{
|
| 664 |
+
"epoch": 0.29784537389100124,
|
| 665 |
+
"grad_norm": 0.9775916337966919,
|
| 666 |
+
"learning_rate": 8.245288109815596e-05,
|
| 667 |
+
"loss": 1.407801628112793,
|
| 668 |
+
"step": 470
|
| 669 |
+
},
|
| 670 |
+
{
|
| 671 |
+
"epoch": 0.3010139416983523,
|
| 672 |
+
"grad_norm": 0.8449367880821228,
|
| 673 |
+
"learning_rate": 8.206066574167892e-05,
|
| 674 |
+
"loss": 1.4435958862304688,
|
| 675 |
+
"step": 475
|
| 676 |
+
},
|
| 677 |
+
{
|
| 678 |
+
"epoch": 0.3041825095057034,
|
| 679 |
+
"grad_norm": 0.9615752100944519,
|
| 680 |
+
"learning_rate": 8.166507109402825e-05,
|
| 681 |
+
"loss": 1.4394434928894042,
|
| 682 |
+
"step": 480
|
| 683 |
+
},
|
| 684 |
+
{
|
| 685 |
+
"epoch": 0.3073510773130545,
|
| 686 |
+
"grad_norm": 0.8721709251403809,
|
| 687 |
+
"learning_rate": 8.12661388520767e-05,
|
| 688 |
+
"loss": 1.544541358947754,
|
| 689 |
+
"step": 485
|
| 690 |
+
},
|
| 691 |
+
{
|
| 692 |
+
"epoch": 0.3105196451204056,
|
| 693 |
+
"grad_norm": 0.8040366768836975,
|
| 694 |
+
"learning_rate": 8.086391106448965e-05,
|
| 695 |
+
"loss": 1.4437169075012206,
|
| 696 |
+
"step": 490
|
| 697 |
+
},
|
| 698 |
+
{
|
| 699 |
+
"epoch": 0.31368821292775667,
|
| 700 |
+
"grad_norm": 0.9599743485450745,
|
| 701 |
+
"learning_rate": 8.045843012729288e-05,
|
| 702 |
+
"loss": 1.4029827117919922,
|
| 703 |
+
"step": 495
|
| 704 |
+
},
|
| 705 |
+
{
|
| 706 |
+
"epoch": 0.31685678073510776,
|
| 707 |
+
"grad_norm": 0.973711371421814,
|
| 708 |
+
"learning_rate": 8.004973877940405e-05,
|
| 709 |
+
"loss": 1.432126808166504,
|
| 710 |
+
"step": 500
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"epoch": 0.3200253485424588,
|
| 714 |
+
"grad_norm": 1.2315587997436523,
|
| 715 |
+
"learning_rate": 7.963788009812775e-05,
|
| 716 |
+
"loss": 1.4067696571350097,
|
| 717 |
+
"step": 505
|
| 718 |
+
},
|
| 719 |
+
{
|
| 720 |
+
"epoch": 0.3231939163498099,
|
| 721 |
+
"grad_norm": 0.9294511079788208,
|
| 722 |
+
"learning_rate": 7.922289749461516e-05,
|
| 723 |
+
"loss": 1.3776613235473634,
|
| 724 |
+
"step": 510
|
| 725 |
+
},
|
| 726 |
+
{
|
| 727 |
+
"epoch": 0.32636248415716096,
|
| 728 |
+
"grad_norm": 0.967047929763794,
|
| 729 |
+
"learning_rate": 7.880483470928823e-05,
|
| 730 |
+
"loss": 1.3882503509521484,
|
| 731 |
+
"step": 515
|
| 732 |
+
},
|
| 733 |
+
{
|
| 734 |
+
"epoch": 0.32953105196451205,
|
| 735 |
+
"grad_norm": 0.8325267434120178,
|
| 736 |
+
"learning_rate": 7.83837358072295e-05,
|
| 737 |
+
"loss": 1.4678791999816894,
|
| 738 |
+
"step": 520
|
| 739 |
+
},
|
| 740 |
+
{
|
| 741 |
+
"epoch": 0.33269961977186313,
|
| 742 |
+
"grad_norm": 1.0061659812927246,
|
| 743 |
+
"learning_rate": 7.795964517353735e-05,
|
| 744 |
+
"loss": 1.4159486770629883,
|
| 745 |
+
"step": 525
|
| 746 |
+
},
|
| 747 |
+
{
|
| 748 |
+
"epoch": 0.3358681875792142,
|
| 749 |
+
"grad_norm": 1.040426254272461,
|
| 750 |
+
"learning_rate": 7.753260750864768e-05,
|
| 751 |
+
"loss": 1.4096446990966798,
|
| 752 |
+
"step": 530
|
| 753 |
+
},
|
| 754 |
+
{
|
| 755 |
+
"epoch": 0.33903675538656525,
|
| 756 |
+
"grad_norm": 0.9612278342247009,
|
| 757 |
+
"learning_rate": 7.710266782362247e-05,
|
| 758 |
+
"loss": 1.4248369216918946,
|
| 759 |
+
"step": 535
|
| 760 |
+
},
|
| 761 |
+
{
|
| 762 |
+
"epoch": 0.34220532319391633,
|
| 763 |
+
"grad_norm": 0.9438225626945496,
|
| 764 |
+
"learning_rate": 7.666987143540536e-05,
|
| 765 |
+
"loss": 1.4191057205200195,
|
| 766 |
+
"step": 540
|
| 767 |
+
},
|
| 768 |
+
{
|
| 769 |
+
"epoch": 0.3453738910012674,
|
| 770 |
+
"grad_norm": 0.8708591461181641,
|
| 771 |
+
"learning_rate": 7.623426396204516e-05,
|
| 772 |
+
"loss": 1.4026036262512207,
|
| 773 |
+
"step": 545
|
| 774 |
+
},
|
| 775 |
+
{
|
| 776 |
+
"epoch": 0.3485424588086185,
|
| 777 |
+
"grad_norm": 0.8831802010536194,
|
| 778 |
+
"learning_rate": 7.579589131788755e-05,
|
| 779 |
+
"loss": 1.3681581497192383,
|
| 780 |
+
"step": 550
|
| 781 |
+
},
|
| 782 |
+
{
|
| 783 |
+
"epoch": 0.3517110266159696,
|
| 784 |
+
"grad_norm": 0.8993585705757141,
|
| 785 |
+
"learning_rate": 7.535479970873562e-05,
|
| 786 |
+
"loss": 1.421323871612549,
|
| 787 |
+
"step": 555
|
| 788 |
+
},
|
| 789 |
+
{
|
| 790 |
+
"epoch": 0.3548795944233207,
|
| 791 |
+
"grad_norm": 0.9270035624504089,
|
| 792 |
+
"learning_rate": 7.491103562697953e-05,
|
| 793 |
+
"loss": 1.4405481338500976,
|
| 794 |
+
"step": 560
|
| 795 |
+
},
|
| 796 |
+
{
|
| 797 |
+
"epoch": 0.35804816223067176,
|
| 798 |
+
"grad_norm": 0.7752518057823181,
|
| 799 |
+
"learning_rate": 7.446464584669618e-05,
|
| 800 |
+
"loss": 1.4336222648620605,
|
| 801 |
+
"step": 565
|
| 802 |
+
},
|
| 803 |
+
{
|
| 804 |
+
"epoch": 0.3612167300380228,
|
| 805 |
+
"grad_norm": 0.8551792502403259,
|
| 806 |
+
"learning_rate": 7.401567741871905e-05,
|
| 807 |
+
"loss": 1.4587442398071289,
|
| 808 |
+
"step": 570
|
| 809 |
+
},
|
| 810 |
+
{
|
| 811 |
+
"epoch": 0.3643852978453739,
|
| 812 |
+
"grad_norm": 1.0400238037109375,
|
| 813 |
+
"learning_rate": 7.356417766567887e-05,
|
| 814 |
+
"loss": 1.3435915946960448,
|
| 815 |
+
"step": 575
|
| 816 |
+
},
|
| 817 |
+
{
|
| 818 |
+
"epoch": 0.36755386565272496,
|
| 819 |
+
"grad_norm": 1.0843302011489868,
|
| 820 |
+
"learning_rate": 7.311019417701566e-05,
|
| 821 |
+
"loss": 1.388375473022461,
|
| 822 |
+
"step": 580
|
| 823 |
+
},
|
| 824 |
+
{
|
| 825 |
+
"epoch": 0.37072243346007605,
|
| 826 |
+
"grad_norm": 1.1198105812072754,
|
| 827 |
+
"learning_rate": 7.265377480396277e-05,
|
| 828 |
+
"loss": 1.364163303375244,
|
| 829 |
+
"step": 585
|
| 830 |
+
},
|
| 831 |
+
{
|
| 832 |
+
"epoch": 0.37389100126742714,
|
| 833 |
+
"grad_norm": 0.9389685392379761,
|
| 834 |
+
"learning_rate": 7.219496765450304e-05,
|
| 835 |
+
"loss": 1.4237895965576173,
|
| 836 |
+
"step": 590
|
| 837 |
+
},
|
| 838 |
+
{
|
| 839 |
+
"epoch": 0.3770595690747782,
|
| 840 |
+
"grad_norm": 0.8364915251731873,
|
| 841 |
+
"learning_rate": 7.173382108829826e-05,
|
| 842 |
+
"loss": 1.4080724716186523,
|
| 843 |
+
"step": 595
|
| 844 |
+
},
|
| 845 |
+
{
|
| 846 |
+
"epoch": 0.38022813688212925,
|
| 847 |
+
"grad_norm": 0.9814357161521912,
|
| 848 |
+
"learning_rate": 7.127038371159174e-05,
|
| 849 |
+
"loss": 1.3742491722106933,
|
| 850 |
+
"step": 600
|
| 851 |
+
},
|
| 852 |
+
{
|
| 853 |
+
"epoch": 0.38339670468948034,
|
| 854 |
+
"grad_norm": 0.8945198655128479,
|
| 855 |
+
"learning_rate": 7.08047043720852e-05,
|
| 856 |
+
"loss": 1.3940475463867188,
|
| 857 |
+
"step": 605
|
| 858 |
+
},
|
| 859 |
+
{
|
| 860 |
+
"epoch": 0.3865652724968314,
|
| 861 |
+
"grad_norm": 0.9399378895759583,
|
| 862 |
+
"learning_rate": 7.033683215379002e-05,
|
| 863 |
+
"loss": 1.427070426940918,
|
| 864 |
+
"step": 610
|
| 865 |
+
},
|
| 866 |
+
{
|
| 867 |
+
"epoch": 0.3897338403041825,
|
| 868 |
+
"grad_norm": 0.8892331719398499,
|
| 869 |
+
"learning_rate": 6.986681637185361e-05,
|
| 870 |
+
"loss": 1.3754430770874024,
|
| 871 |
+
"step": 615
|
| 872 |
+
},
|
| 873 |
+
{
|
| 874 |
+
"epoch": 0.3929024081115336,
|
| 875 |
+
"grad_norm": 1.1722021102905273,
|
| 876 |
+
"learning_rate": 6.939470656736148e-05,
|
| 877 |
+
"loss": 1.3428964614868164,
|
| 878 |
+
"step": 620
|
| 879 |
+
},
|
| 880 |
+
{
|
| 881 |
+
"epoch": 0.3960709759188847,
|
| 882 |
+
"grad_norm": 0.9018204212188721,
|
| 883 |
+
"learning_rate": 6.892055250211552e-05,
|
| 884 |
+
"loss": 1.416018009185791,
|
| 885 |
+
"step": 625
|
| 886 |
+
},
|
| 887 |
+
{
|
| 888 |
+
"epoch": 0.39923954372623577,
|
| 889 |
+
"grad_norm": 0.8684733510017395,
|
| 890 |
+
"learning_rate": 6.844440415338879e-05,
|
| 891 |
+
"loss": 1.4170392990112304,
|
| 892 |
+
"step": 630
|
| 893 |
+
},
|
| 894 |
+
{
|
| 895 |
+
"epoch": 0.4024081115335868,
|
| 896 |
+
"grad_norm": 1.0637812614440918,
|
| 897 |
+
"learning_rate": 6.796631170865789e-05,
|
| 898 |
+
"loss": 1.412844181060791,
|
| 899 |
+
"step": 635
|
| 900 |
+
},
|
| 901 |
+
{
|
| 902 |
+
"epoch": 0.4055766793409379,
|
| 903 |
+
"grad_norm": 1.0007359981536865,
|
| 904 |
+
"learning_rate": 6.748632556031305e-05,
|
| 905 |
+
"loss": 1.4430639266967773,
|
| 906 |
+
"step": 640
|
| 907 |
+
},
|
| 908 |
+
{
|
| 909 |
+
"epoch": 0.40874524714828897,
|
| 910 |
+
"grad_norm": 0.9914920330047607,
|
| 911 |
+
"learning_rate": 6.700449630034662e-05,
|
| 912 |
+
"loss": 1.3914289474487305,
|
| 913 |
+
"step": 645
|
| 914 |
+
},
|
| 915 |
+
{
|
| 916 |
+
"epoch": 0.41191381495564006,
|
| 917 |
+
"grad_norm": 1.1350955963134766,
|
| 918 |
+
"learning_rate": 6.65208747150204e-05,
|
| 919 |
+
"loss": 1.3682466506958009,
|
| 920 |
+
"step": 650
|
| 921 |
+
},
|
| 922 |
+
{
|
| 923 |
+
"epoch": 0.41508238276299114,
|
| 924 |
+
"grad_norm": 1.0775210857391357,
|
| 925 |
+
"learning_rate": 6.603551177951276e-05,
|
| 926 |
+
"loss": 1.391181755065918,
|
| 927 |
+
"step": 655
|
| 928 |
+
},
|
| 929 |
+
{
|
| 930 |
+
"epoch": 0.41825095057034223,
|
| 931 |
+
"grad_norm": 1.0117769241333008,
|
| 932 |
+
"learning_rate": 6.554845865254565e-05,
|
| 933 |
+
"loss": 1.3873372077941895,
|
| 934 |
+
"step": 660
|
| 935 |
+
},
|
| 936 |
+
{
|
| 937 |
+
"epoch": 0.42141951837769326,
|
| 938 |
+
"grad_norm": 0.9027493596076965,
|
| 939 |
+
"learning_rate": 6.505976667099233e-05,
|
| 940 |
+
"loss": 1.4179336547851562,
|
| 941 |
+
"step": 665
|
| 942 |
+
},
|
| 943 |
+
{
|
| 944 |
+
"epoch": 0.42458808618504434,
|
| 945 |
+
"grad_norm": 0.8727158904075623,
|
| 946 |
+
"learning_rate": 6.456948734446624e-05,
|
| 947 |
+
"loss": 1.3837886810302735,
|
| 948 |
+
"step": 670
|
| 949 |
+
},
|
| 950 |
+
{
|
| 951 |
+
"epoch": 0.42775665399239543,
|
| 952 |
+
"grad_norm": 1.070072889328003,
|
| 953 |
+
"learning_rate": 6.407767234989182e-05,
|
| 954 |
+
"loss": 1.4333530426025392,
|
| 955 |
+
"step": 675
|
| 956 |
+
},
|
| 957 |
+
{
|
| 958 |
+
"epoch": 0.4309252217997465,
|
| 959 |
+
"grad_norm": 1.224215030670166,
|
| 960 |
+
"learning_rate": 6.358437352605754e-05,
|
| 961 |
+
"loss": 1.3491156578063965,
|
| 962 |
+
"step": 680
|
| 963 |
+
},
|
| 964 |
+
{
|
| 965 |
+
"epoch": 0.4340937896070976,
|
| 966 |
+
"grad_norm": 1.051694393157959,
|
| 967 |
+
"learning_rate": 6.308964286815203e-05,
|
| 968 |
+
"loss": 1.3815348625183106,
|
| 969 |
+
"step": 685
|
| 970 |
+
},
|
| 971 |
+
{
|
| 972 |
+
"epoch": 0.4372623574144487,
|
| 973 |
+
"grad_norm": 0.849431574344635,
|
| 974 |
+
"learning_rate": 6.259353252228346e-05,
|
| 975 |
+
"loss": 1.4776974678039552,
|
| 976 |
+
"step": 690
|
| 977 |
+
},
|
| 978 |
+
{
|
| 979 |
+
"epoch": 0.4404309252217998,
|
| 980 |
+
"grad_norm": 0.8869721293449402,
|
| 981 |
+
"learning_rate": 6.209609477998338e-05,
|
| 982 |
+
"loss": 1.4064318656921386,
|
| 983 |
+
"step": 695
|
| 984 |
+
},
|
| 985 |
+
{
|
| 986 |
+
"epoch": 0.4435994930291508,
|
| 987 |
+
"grad_norm": 1.0174022912979126,
|
| 988 |
+
"learning_rate": 6.159738207269491e-05,
|
| 989 |
+
"loss": 1.4444948196411134,
|
| 990 |
+
"step": 700
|
| 991 |
+
},
|
| 992 |
+
{
|
| 993 |
+
"epoch": 0.4467680608365019,
|
| 994 |
+
"grad_norm": 0.86573326587677,
|
| 995 |
+
"learning_rate": 6.109744696624631e-05,
|
| 996 |
+
"loss": 1.4351720809936523,
|
| 997 |
+
"step": 705
|
| 998 |
+
},
|
| 999 |
+
{
|
| 1000 |
+
"epoch": 0.449936628643853,
|
| 1001 |
+
"grad_norm": 0.9726159572601318,
|
| 1002 |
+
"learning_rate": 6.0596342155310426e-05,
|
| 1003 |
+
"loss": 1.337043571472168,
|
| 1004 |
+
"step": 710
|
| 1005 |
+
},
|
| 1006 |
+
{
|
| 1007 |
+
"epoch": 0.45310519645120406,
|
| 1008 |
+
"grad_norm": 1.0437583923339844,
|
| 1009 |
+
"learning_rate": 6.009412045785051e-05,
|
| 1010 |
+
"loss": 1.4287454605102539,
|
| 1011 |
+
"step": 715
|
| 1012 |
+
},
|
| 1013 |
+
{
|
| 1014 |
+
"epoch": 0.45627376425855515,
|
| 1015 |
+
"grad_norm": 0.8963989615440369,
|
| 1016 |
+
"learning_rate": 5.959083480955303e-05,
|
| 1017 |
+
"loss": 1.365916633605957,
|
| 1018 |
+
"step": 720
|
| 1019 |
+
},
|
| 1020 |
+
{
|
| 1021 |
+
"epoch": 0.45944233206590623,
|
| 1022 |
+
"grad_norm": 1.2865248918533325,
|
| 1023 |
+
"learning_rate": 5.908653825824808e-05,
|
| 1024 |
+
"loss": 1.3705638885498046,
|
| 1025 |
+
"step": 725
|
| 1026 |
+
},
|
| 1027 |
+
{
|
| 1028 |
+
"epoch": 0.46261089987325726,
|
| 1029 |
+
"grad_norm": 0.8341432213783264,
|
| 1030 |
+
"learning_rate": 5.858128395831799e-05,
|
| 1031 |
+
"loss": 1.4411558151245116,
|
| 1032 |
+
"step": 730
|
| 1033 |
+
},
|
| 1034 |
+
{
|
| 1035 |
+
"epoch": 0.46577946768060835,
|
| 1036 |
+
"grad_norm": 0.9079269766807556,
|
| 1037 |
+
"learning_rate": 5.807512516509468e-05,
|
| 1038 |
+
"loss": 1.4041607856750489,
|
| 1039 |
+
"step": 735
|
| 1040 |
+
},
|
| 1041 |
+
{
|
| 1042 |
+
"epoch": 0.46894803548795944,
|
| 1043 |
+
"grad_norm": 1.1083649396896362,
|
| 1044 |
+
"learning_rate": 5.7568115229246455e-05,
|
| 1045 |
+
"loss": 1.3649417877197265,
|
| 1046 |
+
"step": 740
|
| 1047 |
+
},
|
| 1048 |
+
{
|
| 1049 |
+
"epoch": 0.4721166032953105,
|
| 1050 |
+
"grad_norm": 1.0868420600891113,
|
| 1051 |
+
"learning_rate": 5.706030759115457e-05,
|
| 1052 |
+
"loss": 1.3609169960021972,
|
| 1053 |
+
"step": 745
|
| 1054 |
+
},
|
| 1055 |
+
{
|
| 1056 |
+
"epoch": 0.4752851711026616,
|
| 1057 |
+
"grad_norm": 1.1324069499969482,
|
| 1058 |
+
"learning_rate": 5.6551755775280535e-05,
|
| 1059 |
+
"loss": 1.3742989540100097,
|
| 1060 |
+
"step": 750
|
| 1061 |
+
},
|
| 1062 |
+
{
|
| 1063 |
+
"epoch": 0.4784537389100127,
|
| 1064 |
+
"grad_norm": 0.8875950574874878,
|
| 1065 |
+
"learning_rate": 5.604251338452443e-05,
|
| 1066 |
+
"loss": 1.3568942070007324,
|
| 1067 |
+
"step": 755
|
| 1068 |
+
},
|
| 1069 |
+
{
|
| 1070 |
+
"epoch": 0.4816223067173637,
|
| 1071 |
+
"grad_norm": 0.85218745470047,
|
| 1072 |
+
"learning_rate": 5.553263409457504e-05,
|
| 1073 |
+
"loss": 1.4398767471313476,
|
| 1074 |
+
"step": 760
|
| 1075 |
+
},
|
| 1076 |
+
{
|
| 1077 |
+
"epoch": 0.4847908745247148,
|
| 1078 |
+
"grad_norm": 1.0838654041290283,
|
| 1079 |
+
"learning_rate": 5.502217164825226e-05,
|
| 1080 |
+
"loss": 1.3630851745605468,
|
| 1081 |
+
"step": 765
|
| 1082 |
+
},
|
| 1083 |
+
{
|
| 1084 |
+
"epoch": 0.4879594423320659,
|
| 1085 |
+
"grad_norm": 0.9310572743415833,
|
| 1086 |
+
"learning_rate": 5.4511179849842396e-05,
|
| 1087 |
+
"loss": 1.4191320419311524,
|
| 1088 |
+
"step": 770
|
| 1089 |
+
},
|
| 1090 |
+
{
|
| 1091 |
+
"epoch": 0.491128010139417,
|
| 1092 |
+
"grad_norm": 1.1072568893432617,
|
| 1093 |
+
"learning_rate": 5.399971255942709e-05,
|
| 1094 |
+
"loss": 1.332352352142334,
|
| 1095 |
+
"step": 775
|
| 1096 |
+
},
|
| 1097 |
+
{
|
| 1098 |
+
"epoch": 0.49429657794676807,
|
| 1099 |
+
"grad_norm": 1.0503177642822266,
|
| 1100 |
+
"learning_rate": 5.348782368720626e-05,
|
| 1101 |
+
"loss": 1.3583803176879883,
|
| 1102 |
+
"step": 780
|
| 1103 |
+
},
|
| 1104 |
+
{
|
| 1105 |
+
"epoch": 0.49746514575411915,
|
| 1106 |
+
"grad_norm": 0.9713006615638733,
|
| 1107 |
+
"learning_rate": 5.297556718781588e-05,
|
| 1108 |
+
"loss": 1.4059024810791017,
|
| 1109 |
+
"step": 785
|
| 1110 |
+
},
|
| 1111 |
+
{
|
| 1112 |
+
"epoch": 0.5006337135614702,
|
| 1113 |
+
"grad_norm": 0.8210018873214722,
|
| 1114 |
+
"learning_rate": 5.246299705464085e-05,
|
| 1115 |
+
"loss": 1.375057315826416,
|
| 1116 |
+
"step": 790
|
| 1117 |
+
},
|
| 1118 |
+
{
|
| 1119 |
+
"epoch": 0.5038022813688213,
|
| 1120 |
+
"grad_norm": 0.9948434829711914,
|
| 1121 |
+
"learning_rate": 5.1950167314124085e-05,
|
| 1122 |
+
"loss": 1.362550926208496,
|
| 1123 |
+
"step": 795
|
| 1124 |
+
},
|
| 1125 |
+
{
|
| 1126 |
+
"epoch": 0.5069708491761724,
|
| 1127 |
+
"grad_norm": 1.2584747076034546,
|
| 1128 |
+
"learning_rate": 5.1437132020071886e-05,
|
| 1129 |
+
"loss": 1.37750301361084,
|
| 1130 |
+
"step": 800
|
| 1131 |
+
},
|
| 1132 |
+
{
|
| 1133 |
+
"epoch": 0.5101394169835235,
|
| 1134 |
+
"grad_norm": 0.8576092720031738,
|
| 1135 |
+
"learning_rate": 5.092394524795649e-05,
|
| 1136 |
+
"loss": 1.3371183395385742,
|
| 1137 |
+
"step": 805
|
| 1138 |
+
},
|
| 1139 |
+
{
|
| 1140 |
+
"epoch": 0.5133079847908745,
|
| 1141 |
+
"grad_norm": 0.9512493014335632,
|
| 1142 |
+
"learning_rate": 5.041066108921645e-05,
|
| 1143 |
+
"loss": 1.503910732269287,
|
| 1144 |
+
"step": 810
|
| 1145 |
+
},
|
| 1146 |
+
{
|
| 1147 |
+
"epoch": 0.5164765525982256,
|
| 1148 |
+
"grad_norm": 1.3466845750808716,
|
| 1149 |
+
"learning_rate": 4.9897333645555066e-05,
|
| 1150 |
+
"loss": 1.3664363861083983,
|
| 1151 |
+
"step": 815
|
| 1152 |
+
},
|
| 1153 |
+
{
|
| 1154 |
+
"epoch": 0.5196451204055766,
|
| 1155 |
+
"grad_norm": 0.8851462602615356,
|
| 1156 |
+
"learning_rate": 4.9384017023238085e-05,
|
| 1157 |
+
"loss": 1.3612781524658204,
|
| 1158 |
+
"step": 820
|
| 1159 |
+
},
|
| 1160 |
+
{
|
| 1161 |
+
"epoch": 0.5228136882129277,
|
| 1162 |
+
"grad_norm": 1.0494959354400635,
|
| 1163 |
+
"learning_rate": 4.8870765327390605e-05,
|
| 1164 |
+
"loss": 1.3557121276855468,
|
| 1165 |
+
"step": 825
|
| 1166 |
+
},
|
| 1167 |
+
{
|
| 1168 |
+
"epoch": 0.5259822560202788,
|
| 1169 |
+
"grad_norm": 1.1948227882385254,
|
| 1170 |
+
"learning_rate": 4.835763265629428e-05,
|
| 1171 |
+
"loss": 1.3239543914794922,
|
| 1172 |
+
"step": 830
|
| 1173 |
+
},
|
| 1174 |
+
{
|
| 1175 |
+
"epoch": 0.5291508238276299,
|
| 1176 |
+
"grad_norm": 0.8744856119155884,
|
| 1177 |
+
"learning_rate": 4.784467309568523e-05,
|
| 1178 |
+
"loss": 1.3509840011596679,
|
| 1179 |
+
"step": 835
|
| 1180 |
+
},
|
| 1181 |
+
{
|
| 1182 |
+
"epoch": 0.532319391634981,
|
| 1183 |
+
"grad_norm": 1.2883540391921997,
|
| 1184 |
+
"learning_rate": 4.733194071305315e-05,
|
| 1185 |
+
"loss": 1.3368789672851562,
|
| 1186 |
+
"step": 840
|
| 1187 |
+
},
|
| 1188 |
+
{
|
| 1189 |
+
"epoch": 0.5354879594423321,
|
| 1190 |
+
"grad_norm": 1.0098083019256592,
|
| 1191 |
+
"learning_rate": 4.681948955194255e-05,
|
| 1192 |
+
"loss": 1.3610082626342774,
|
| 1193 |
+
"step": 845
|
| 1194 |
+
},
|
| 1195 |
+
{
|
| 1196 |
+
"epoch": 0.5386565272496832,
|
| 1197 |
+
"grad_norm": 0.8575060367584229,
|
| 1198 |
+
"learning_rate": 4.6307373626256306e-05,
|
| 1199 |
+
"loss": 1.4005903244018554,
|
| 1200 |
+
"step": 850
|
| 1201 |
+
},
|
| 1202 |
+
{
|
| 1203 |
+
"epoch": 0.5418250950570342,
|
| 1204 |
+
"grad_norm": 0.9120677709579468,
|
| 1205 |
+
"learning_rate": 4.579564691456245e-05,
|
| 1206 |
+
"loss": 1.361180877685547,
|
| 1207 |
+
"step": 855
|
| 1208 |
+
},
|
| 1209 |
+
{
|
| 1210 |
+
"epoch": 0.5449936628643853,
|
| 1211 |
+
"grad_norm": 0.8237045407295227,
|
| 1212 |
+
"learning_rate": 4.528436335440473e-05,
|
| 1213 |
+
"loss": 1.3133733749389649,
|
| 1214 |
+
"step": 860
|
| 1215 |
+
},
|
| 1216 |
+
{
|
| 1217 |
+
"epoch": 0.5481622306717364,
|
| 1218 |
+
"grad_norm": 0.9122887253761292,
|
| 1219 |
+
"learning_rate": 4.477357683661734e-05,
|
| 1220 |
+
"loss": 1.3374805450439453,
|
| 1221 |
+
"step": 865
|
| 1222 |
+
},
|
| 1223 |
+
{
|
| 1224 |
+
"epoch": 0.5513307984790875,
|
| 1225 |
+
"grad_norm": 0.8085625767707825,
|
| 1226 |
+
"learning_rate": 4.4263341199644696e-05,
|
| 1227 |
+
"loss": 1.3378860473632812,
|
| 1228 |
+
"step": 870
|
| 1229 |
+
},
|
| 1230 |
+
{
|
| 1231 |
+
"epoch": 0.5544993662864385,
|
| 1232 |
+
"grad_norm": 0.862529456615448,
|
| 1233 |
+
"learning_rate": 4.375371022386677e-05,
|
| 1234 |
+
"loss": 1.355858325958252,
|
| 1235 |
+
"step": 875
|
| 1236 |
+
},
|
| 1237 |
+
{
|
| 1238 |
+
"epoch": 0.5576679340937896,
|
| 1239 |
+
"grad_norm": 1.1068962812423706,
|
| 1240 |
+
"learning_rate": 4.324473762593036e-05,
|
| 1241 |
+
"loss": 1.3223381042480469,
|
| 1242 |
+
"step": 880
|
| 1243 |
+
},
|
| 1244 |
+
{
|
| 1245 |
+
"epoch": 0.5608365019011406,
|
| 1246 |
+
"grad_norm": 0.9751445055007935,
|
| 1247 |
+
"learning_rate": 4.2736477053087265e-05,
|
| 1248 |
+
"loss": 1.3480128288269042,
|
| 1249 |
+
"step": 885
|
| 1250 |
+
},
|
| 1251 |
+
{
|
| 1252 |
+
"epoch": 0.5640050697084917,
|
| 1253 |
+
"grad_norm": 0.844694197177887,
|
| 1254 |
+
"learning_rate": 4.2228982077539655e-05,
|
| 1255 |
+
"loss": 1.3501531600952148,
|
| 1256 |
+
"step": 890
|
| 1257 |
+
},
|
| 1258 |
+
{
|
| 1259 |
+
"epoch": 0.5671736375158428,
|
| 1260 |
+
"grad_norm": 1.0401661396026611,
|
| 1261 |
+
"learning_rate": 4.1722306190793495e-05,
|
| 1262 |
+
"loss": 1.3577798843383788,
|
| 1263 |
+
"step": 895
|
| 1264 |
+
},
|
| 1265 |
+
{
|
| 1266 |
+
"epoch": 0.5703422053231939,
|
| 1267 |
+
"grad_norm": 0.9297835826873779,
|
| 1268 |
+
"learning_rate": 4.121650279802027e-05,
|
| 1269 |
+
"loss": 1.3129751205444335,
|
| 1270 |
+
"step": 900
|
| 1271 |
+
},
|
| 1272 |
+
{
|
| 1273 |
+
"epoch": 0.573510773130545,
|
| 1274 |
+
"grad_norm": 0.9704940319061279,
|
| 1275 |
+
"learning_rate": 4.071162521242796e-05,
|
| 1276 |
+
"loss": 1.3801716804504394,
|
| 1277 |
+
"step": 905
|
| 1278 |
+
},
|
| 1279 |
+
{
|
| 1280 |
+
"epoch": 0.5766793409378961,
|
| 1281 |
+
"grad_norm": 0.8439595699310303,
|
| 1282 |
+
"learning_rate": 4.0207726649641666e-05,
|
| 1283 |
+
"loss": 1.353194522857666,
|
| 1284 |
+
"step": 910
|
| 1285 |
+
},
|
| 1286 |
+
{
|
| 1287 |
+
"epoch": 0.5798479087452472,
|
| 1288 |
+
"grad_norm": 1.001358985900879,
|
| 1289 |
+
"learning_rate": 3.970486022209451e-05,
|
| 1290 |
+
"loss": 1.4151784896850585,
|
| 1291 |
+
"step": 915
|
| 1292 |
+
},
|
| 1293 |
+
{
|
| 1294 |
+
"epoch": 0.5830164765525983,
|
| 1295 |
+
"grad_norm": 0.8582479953765869,
|
| 1296 |
+
"learning_rate": 3.920307893342949e-05,
|
| 1297 |
+
"loss": 1.3958765029907227,
|
| 1298 |
+
"step": 920
|
| 1299 |
+
},
|
| 1300 |
+
{
|
| 1301 |
+
"epoch": 0.5861850443599493,
|
| 1302 |
+
"grad_norm": 0.9078862071037292,
|
| 1303 |
+
"learning_rate": 3.8702435672912626e-05,
|
| 1304 |
+
"loss": 1.4149696350097656,
|
| 1305 |
+
"step": 925
|
| 1306 |
+
},
|
| 1307 |
+
{
|
| 1308 |
+
"epoch": 0.5893536121673004,
|
| 1309 |
+
"grad_norm": 1.0525516271591187,
|
| 1310 |
+
"learning_rate": 3.8202983209858356e-05,
|
| 1311 |
+
"loss": 1.3368765830993652,
|
| 1312 |
+
"step": 930
|
| 1313 |
+
},
|
| 1314 |
+
{
|
| 1315 |
+
"epoch": 0.5925221799746515,
|
| 1316 |
+
"grad_norm": 0.9519181251525879,
|
| 1317 |
+
"learning_rate": 3.770477418806744e-05,
|
| 1318 |
+
"loss": 1.3330938339233398,
|
| 1319 |
+
"step": 935
|
| 1320 |
+
},
|
| 1321 |
+
{
|
| 1322 |
+
"epoch": 0.5956907477820025,
|
| 1323 |
+
"grad_norm": 0.7788481712341309,
|
| 1324 |
+
"learning_rate": 3.720786112027822e-05,
|
| 1325 |
+
"loss": 1.3294697761535645,
|
| 1326 |
+
"step": 940
|
| 1327 |
+
},
|
| 1328 |
+
{
|
| 1329 |
+
"epoch": 0.5988593155893536,
|
| 1330 |
+
"grad_norm": 0.9929976463317871,
|
| 1331 |
+
"learning_rate": 3.671229638263151e-05,
|
| 1332 |
+
"loss": 1.4216012001037597,
|
| 1333 |
+
"step": 945
|
| 1334 |
+
},
|
| 1335 |
+
{
|
| 1336 |
+
"epoch": 0.6020278833967047,
|
| 1337 |
+
"grad_norm": 1.1244455575942993,
|
| 1338 |
+
"learning_rate": 3.6218132209150045e-05,
|
| 1339 |
+
"loss": 1.3404890060424806,
|
| 1340 |
+
"step": 950
|
| 1341 |
+
},
|
| 1342 |
+
{
|
| 1343 |
+
"epoch": 0.6051964512040557,
|
| 1344 |
+
"grad_norm": 1.0040193796157837,
|
| 1345 |
+
"learning_rate": 3.57254206862329e-05,
|
| 1346 |
+
"loss": 1.3190261840820312,
|
| 1347 |
+
"step": 955
|
| 1348 |
+
},
|
| 1349 |
+
{
|
| 1350 |
+
"epoch": 0.6083650190114068,
|
| 1351 |
+
"grad_norm": 0.8877851366996765,
|
| 1352 |
+
"learning_rate": 3.523421374716537e-05,
|
| 1353 |
+
"loss": 1.3281331062316895,
|
| 1354 |
+
"step": 960
|
| 1355 |
+
},
|
| 1356 |
+
{
|
| 1357 |
+
"epoch": 0.6115335868187579,
|
| 1358 |
+
"grad_norm": 0.7751623392105103,
|
| 1359 |
+
"learning_rate": 3.4744563166645037e-05,
|
| 1360 |
+
"loss": 1.334850025177002,
|
| 1361 |
+
"step": 965
|
| 1362 |
+
},
|
| 1363 |
+
{
|
| 1364 |
+
"epoch": 0.614702154626109,
|
| 1365 |
+
"grad_norm": 1.3870421648025513,
|
| 1366 |
+
"learning_rate": 3.425652055532461e-05,
|
| 1367 |
+
"loss": 1.3271892547607422,
|
| 1368 |
+
"step": 970
|
| 1369 |
+
},
|
| 1370 |
+
{
|
| 1371 |
+
"epoch": 0.6178707224334601,
|
| 1372 |
+
"grad_norm": 1.065826416015625,
|
| 1373 |
+
"learning_rate": 3.377013735437198e-05,
|
| 1374 |
+
"loss": 1.4464192390441895,
|
| 1375 |
+
"step": 975
|
| 1376 |
+
},
|
| 1377 |
+
{
|
| 1378 |
+
"epoch": 0.6210392902408112,
|
| 1379 |
+
"grad_norm": 1.0614964962005615,
|
| 1380 |
+
"learning_rate": 3.328546483004814e-05,
|
| 1381 |
+
"loss": 1.3625066757202149,
|
| 1382 |
+
"step": 980
|
| 1383 |
+
},
|
| 1384 |
+
{
|
| 1385 |
+
"epoch": 0.6242078580481623,
|
| 1386 |
+
"grad_norm": 1.0641158819198608,
|
| 1387 |
+
"learning_rate": 3.2802554068303596e-05,
|
| 1388 |
+
"loss": 1.2995372772216798,
|
| 1389 |
+
"step": 985
|
| 1390 |
+
},
|
| 1391 |
+
{
|
| 1392 |
+
"epoch": 0.6273764258555133,
|
| 1393 |
+
"grad_norm": 1.1293580532073975,
|
| 1394 |
+
"learning_rate": 3.2321455969393784e-05,
|
| 1395 |
+
"loss": 1.3447973251342773,
|
| 1396 |
+
"step": 990
|
| 1397 |
+
},
|
| 1398 |
+
{
|
| 1399 |
+
"epoch": 0.6305449936628644,
|
| 1400 |
+
"grad_norm": 0.8212258815765381,
|
| 1401 |
+
"learning_rate": 3.1842221242513944e-05,
|
| 1402 |
+
"loss": 1.3622364044189452,
|
| 1403 |
+
"step": 995
|
| 1404 |
+
},
|
| 1405 |
+
{
|
| 1406 |
+
"epoch": 0.6337135614702155,
|
| 1407 |
+
"grad_norm": 0.9654073119163513,
|
| 1408 |
+
"learning_rate": 3.13649004004543e-05,
|
| 1409 |
+
"loss": 1.339268684387207,
|
| 1410 |
+
"step": 1000
|
| 1411 |
+
},
|
| 1412 |
+
{
|
| 1413 |
+
"epoch": 0.6368821292775665,
|
| 1414 |
+
"grad_norm": 1.0687123537063599,
|
| 1415 |
+
"learning_rate": 3.088954375427582e-05,
|
| 1416 |
+
"loss": 1.3421677589416503,
|
| 1417 |
+
"step": 1005
|
| 1418 |
+
},
|
| 1419 |
+
{
|
| 1420 |
+
"epoch": 0.6400506970849176,
|
| 1421 |
+
"grad_norm": 1.1498644351959229,
|
| 1422 |
+
"learning_rate": 3.0416201408007237e-05,
|
| 1423 |
+
"loss": 1.2978170394897461,
|
| 1424 |
+
"step": 1010
|
| 1425 |
+
},
|
| 1426 |
+
{
|
| 1427 |
+
"epoch": 0.6432192648922687,
|
| 1428 |
+
"grad_norm": 1.1247986555099487,
|
| 1429 |
+
"learning_rate": 2.9944923253364066e-05,
|
| 1430 |
+
"loss": 1.3145835876464844,
|
| 1431 |
+
"step": 1015
|
| 1432 |
+
},
|
| 1433 |
+
{
|
| 1434 |
+
"epoch": 0.6463878326996197,
|
| 1435 |
+
"grad_norm": 1.085307002067566,
|
| 1436 |
+
"learning_rate": 2.9475758964489707e-05,
|
| 1437 |
+
"loss": 1.28936824798584,
|
| 1438 |
+
"step": 1020
|
| 1439 |
+
},
|
| 1440 |
+
{
|
| 1441 |
+
"epoch": 0.6495564005069708,
|
| 1442 |
+
"grad_norm": 0.9060108065605164,
|
| 1443 |
+
"learning_rate": 2.9008757992719732e-05,
|
| 1444 |
+
"loss": 1.3310838699340821,
|
| 1445 |
+
"step": 1025
|
| 1446 |
+
},
|
| 1447 |
+
{
|
| 1448 |
+
"epoch": 0.6527249683143219,
|
| 1449 |
+
"grad_norm": 0.8243566155433655,
|
| 1450 |
+
"learning_rate": 2.8543969561369556e-05,
|
| 1451 |
+
"loss": 1.3718022346496581,
|
| 1452 |
+
"step": 1030
|
| 1453 |
+
},
|
| 1454 |
+
{
|
| 1455 |
+
"epoch": 0.655893536121673,
|
| 1456 |
+
"grad_norm": 0.8411113023757935,
|
| 1457 |
+
"learning_rate": 2.8081442660546125e-05,
|
| 1458 |
+
"loss": 1.413943099975586,
|
| 1459 |
+
"step": 1035
|
| 1460 |
+
},
|
| 1461 |
+
{
|
| 1462 |
+
"epoch": 0.6590621039290241,
|
| 1463 |
+
"grad_norm": 0.9290187358856201,
|
| 1464 |
+
"learning_rate": 2.762122604198424e-05,
|
| 1465 |
+
"loss": 1.3513057708740235,
|
| 1466 |
+
"step": 1040
|
| 1467 |
+
},
|
| 1468 |
+
{
|
| 1469 |
+
"epoch": 0.6622306717363752,
|
| 1470 |
+
"grad_norm": 1.080499529838562,
|
| 1471 |
+
"learning_rate": 2.7163368213907973e-05,
|
| 1472 |
+
"loss": 1.32059907913208,
|
| 1473 |
+
"step": 1045
|
| 1474 |
+
},
|
| 1475 |
+
{
|
| 1476 |
+
"epoch": 0.6653992395437263,
|
| 1477 |
+
"grad_norm": 1.1765803098678589,
|
| 1478 |
+
"learning_rate": 2.6707917435917685e-05,
|
| 1479 |
+
"loss": 1.3292306900024413,
|
| 1480 |
+
"step": 1050
|
| 1481 |
+
},
|
| 1482 |
+
{
|
| 1483 |
+
"epoch": 0.6685678073510773,
|
| 1484 |
+
"grad_norm": 0.970851480960846,
|
| 1485 |
+
"learning_rate": 2.6254921713903446e-05,
|
| 1486 |
+
"loss": 1.345045280456543,
|
| 1487 |
+
"step": 1055
|
| 1488 |
+
},
|
| 1489 |
+
{
|
| 1490 |
+
"epoch": 0.6717363751584284,
|
| 1491 |
+
"grad_norm": 1.1229257583618164,
|
| 1492 |
+
"learning_rate": 2.5804428794984924e-05,
|
| 1493 |
+
"loss": 1.3488195419311524,
|
| 1494 |
+
"step": 1060
|
| 1495 |
+
},
|
| 1496 |
+
{
|
| 1497 |
+
"epoch": 0.6749049429657795,
|
| 1498 |
+
"grad_norm": 1.0836807489395142,
|
| 1499 |
+
"learning_rate": 2.5356486162478844e-05,
|
| 1500 |
+
"loss": 1.324122714996338,
|
| 1501 |
+
"step": 1065
|
| 1502 |
+
},
|
| 1503 |
+
{
|
| 1504 |
+
"epoch": 0.6780735107731305,
|
| 1505 |
+
"grad_norm": 1.0663892030715942,
|
| 1506 |
+
"learning_rate": 2.4911141030893994e-05,
|
| 1507 |
+
"loss": 1.3661954879760743,
|
| 1508 |
+
"step": 1070
|
| 1509 |
+
},
|
| 1510 |
+
{
|
| 1511 |
+
"epoch": 0.6812420785804816,
|
| 1512 |
+
"grad_norm": 1.1285103559494019,
|
| 1513 |
+
"learning_rate": 2.446844034095466e-05,
|
| 1514 |
+
"loss": 1.3212727546691894,
|
| 1515 |
+
"step": 1075
|
| 1516 |
+
},
|
| 1517 |
+
{
|
| 1518 |
+
"epoch": 0.6844106463878327,
|
| 1519 |
+
"grad_norm": 0.8290923833847046,
|
| 1520 |
+
"learning_rate": 2.4028430754653065e-05,
|
| 1521 |
+
"loss": 1.3932605743408204,
|
| 1522 |
+
"step": 1080
|
| 1523 |
+
},
|
| 1524 |
+
{
|
| 1525 |
+
"epoch": 0.6875792141951838,
|
| 1526 |
+
"grad_norm": 0.9139001965522766,
|
| 1527 |
+
"learning_rate": 2.3591158650330898e-05,
|
| 1528 |
+
"loss": 1.3588622093200684,
|
| 1529 |
+
"step": 1085
|
| 1530 |
+
},
|
| 1531 |
+
{
|
| 1532 |
+
"epoch": 0.6907477820025348,
|
| 1533 |
+
"grad_norm": 0.9368664026260376,
|
| 1534 |
+
"learning_rate": 2.3156670117790996e-05,
|
| 1535 |
+
"loss": 1.3890501976013183,
|
| 1536 |
+
"step": 1090
|
| 1537 |
+
},
|
| 1538 |
+
{
|
| 1539 |
+
"epoch": 0.6939163498098859,
|
| 1540 |
+
"grad_norm": 1.2055789232254028,
|
| 1541 |
+
"learning_rate": 2.2725010953439324e-05,
|
| 1542 |
+
"loss": 1.3423537254333495,
|
| 1543 |
+
"step": 1095
|
| 1544 |
+
},
|
| 1545 |
+
{
|
| 1546 |
+
"epoch": 0.697084917617237,
|
| 1547 |
+
"grad_norm": 0.9319270253181458,
|
| 1548 |
+
"learning_rate": 2.2296226655457814e-05,
|
| 1549 |
+
"loss": 1.258255672454834,
|
| 1550 |
+
"step": 1100
|
| 1551 |
+
},
|
| 1552 |
+
{
|
| 1553 |
+
"epoch": 0.7002534854245881,
|
| 1554 |
+
"grad_norm": 0.9653268456459045,
|
| 1555 |
+
"learning_rate": 2.1870362419008845e-05,
|
| 1556 |
+
"loss": 1.3396060943603516,
|
| 1557 |
+
"step": 1105
|
| 1558 |
+
},
|
| 1559 |
+
{
|
| 1560 |
+
"epoch": 0.7034220532319392,
|
| 1561 |
+
"grad_norm": 1.0389213562011719,
|
| 1562 |
+
"learning_rate": 2.144746313147148e-05,
|
| 1563 |
+
"loss": 1.2651769638061523,
|
| 1564 |
+
"step": 1110
|
| 1565 |
+
},
|
| 1566 |
+
{
|
| 1567 |
+
"epoch": 0.7065906210392903,
|
| 1568 |
+
"grad_norm": 1.0994007587432861,
|
| 1569 |
+
"learning_rate": 2.1027573367710122e-05,
|
| 1570 |
+
"loss": 1.3021663665771483,
|
| 1571 |
+
"step": 1115
|
| 1572 |
+
},
|
| 1573 |
+
{
|
| 1574 |
+
"epoch": 0.7097591888466414,
|
| 1575 |
+
"grad_norm": 1.009810209274292,
|
| 1576 |
+
"learning_rate": 2.061073738537635e-05,
|
| 1577 |
+
"loss": 1.331705093383789,
|
| 1578 |
+
"step": 1120
|
| 1579 |
+
},
|
| 1580 |
+
{
|
| 1581 |
+
"epoch": 0.7129277566539924,
|
| 1582 |
+
"grad_norm": 1.1909452676773071,
|
| 1583 |
+
"learning_rate": 2.0196999120243886e-05,
|
| 1584 |
+
"loss": 1.4106544494628905,
|
| 1585 |
+
"step": 1125
|
| 1586 |
+
},
|
| 1587 |
+
{
|
| 1588 |
+
"epoch": 0.7160963244613435,
|
| 1589 |
+
"grad_norm": 1.0456634759902954,
|
| 1590 |
+
"learning_rate": 1.9786402181577714e-05,
|
| 1591 |
+
"loss": 1.2929454803466798,
|
| 1592 |
+
"step": 1130
|
| 1593 |
+
},
|
| 1594 |
+
{
|
| 1595 |
+
"epoch": 0.7192648922686945,
|
| 1596 |
+
"grad_norm": 1.154612421989441,
|
| 1597 |
+
"learning_rate": 1.937898984753751e-05,
|
| 1598 |
+
"loss": 1.3293749809265136,
|
| 1599 |
+
"step": 1135
|
| 1600 |
+
},
|
| 1601 |
+
{
|
| 1602 |
+
"epoch": 0.7224334600760456,
|
| 1603 |
+
"grad_norm": 0.8952815532684326,
|
| 1604 |
+
"learning_rate": 1.897480506061593e-05,
|
| 1605 |
+
"loss": 1.3869823455810546,
|
| 1606 |
+
"step": 1140
|
| 1607 |
+
},
|
| 1608 |
+
{
|
| 1609 |
+
"epoch": 0.7256020278833967,
|
| 1610 |
+
"grad_norm": 0.918984591960907,
|
| 1611 |
+
"learning_rate": 1.857389042311246e-05,
|
| 1612 |
+
"loss": 1.3285282135009766,
|
| 1613 |
+
"step": 1145
|
| 1614 |
+
},
|
| 1615 |
+
{
|
| 1616 |
+
"epoch": 0.7287705956907478,
|
| 1617 |
+
"grad_norm": 0.9093521237373352,
|
| 1618 |
+
"learning_rate": 1.8176288192642944e-05,
|
| 1619 |
+
"loss": 1.286917018890381,
|
| 1620 |
+
"step": 1150
|
| 1621 |
+
},
|
| 1622 |
+
{
|
| 1623 |
+
"epoch": 0.7319391634980988,
|
| 1624 |
+
"grad_norm": 0.9459413290023804,
|
| 1625 |
+
"learning_rate": 1.7782040277685436e-05,
|
| 1626 |
+
"loss": 1.284006690979004,
|
| 1627 |
+
"step": 1155
|
| 1628 |
+
},
|
| 1629 |
+
{
|
| 1630 |
+
"epoch": 0.7351077313054499,
|
| 1631 |
+
"grad_norm": 0.7686821222305298,
|
| 1632 |
+
"learning_rate": 1.7391188233163052e-05,
|
| 1633 |
+
"loss": 1.3963065147399902,
|
| 1634 |
+
"step": 1160
|
| 1635 |
+
},
|
| 1636 |
+
{
|
| 1637 |
+
"epoch": 0.738276299112801,
|
| 1638 |
+
"grad_norm": 0.9745455384254456,
|
| 1639 |
+
"learning_rate": 1.700377325606388e-05,
|
| 1640 |
+
"loss": 1.3169967651367187,
|
| 1641 |
+
"step": 1165
|
| 1642 |
+
},
|
| 1643 |
+
{
|
| 1644 |
+
"epoch": 0.7414448669201521,
|
| 1645 |
+
"grad_norm": 0.896531343460083,
|
| 1646 |
+
"learning_rate": 1.6619836181098668e-05,
|
| 1647 |
+
"loss": 1.2857364654541015,
|
| 1648 |
+
"step": 1170
|
| 1649 |
+
},
|
| 1650 |
+
{
|
| 1651 |
+
"epoch": 0.7446134347275032,
|
| 1652 |
+
"grad_norm": 1.1586496829986572,
|
| 1653 |
+
"learning_rate": 1.623941747639679e-05,
|
| 1654 |
+
"loss": 1.3532679557800293,
|
| 1655 |
+
"step": 1175
|
| 1656 |
+
},
|
| 1657 |
+
{
|
| 1658 |
+
"epoch": 0.7477820025348543,
|
| 1659 |
+
"grad_norm": 1.0042097568511963,
|
| 1660 |
+
"learning_rate": 1.5862557239240728e-05,
|
| 1661 |
+
"loss": 1.3450308799743653,
|
| 1662 |
+
"step": 1180
|
| 1663 |
+
},
|
| 1664 |
+
{
|
| 1665 |
+
"epoch": 0.7509505703422054,
|
| 1666 |
+
"grad_norm": 1.227421522140503,
|
| 1667 |
+
"learning_rate": 1.5489295191839736e-05,
|
| 1668 |
+
"loss": 1.2885151863098145,
|
| 1669 |
+
"step": 1185
|
| 1670 |
+
},
|
| 1671 |
+
{
|
| 1672 |
+
"epoch": 0.7541191381495564,
|
| 1673 |
+
"grad_norm": 1.0154186487197876,
|
| 1674 |
+
"learning_rate": 1.5119670677142983e-05,
|
| 1675 |
+
"loss": 1.3617592811584474,
|
| 1676 |
+
"step": 1190
|
| 1677 |
+
},
|
| 1678 |
+
{
|
| 1679 |
+
"epoch": 0.7572877059569075,
|
| 1680 |
+
"grad_norm": 1.1962554454803467,
|
| 1681 |
+
"learning_rate": 1.4753722654692647e-05,
|
| 1682 |
+
"loss": 1.3216251373291015,
|
| 1683 |
+
"step": 1195
|
| 1684 |
+
},
|
| 1685 |
+
{
|
| 1686 |
+
"epoch": 0.7604562737642585,
|
| 1687 |
+
"grad_norm": 0.9843072295188904,
|
| 1688 |
+
"learning_rate": 1.4391489696517535e-05,
|
| 1689 |
+
"loss": 1.322807502746582,
|
| 1690 |
+
"step": 1200
|
| 1691 |
+
},
|
| 1692 |
+
{
|
| 1693 |
+
"epoch": 0.7636248415716096,
|
| 1694 |
+
"grad_norm": 1.023239254951477,
|
| 1695 |
+
"learning_rate": 1.4033009983067452e-05,
|
| 1696 |
+
"loss": 1.3661455154418944,
|
| 1697 |
+
"step": 1205
|
| 1698 |
+
},
|
| 1699 |
+
{
|
| 1700 |
+
"epoch": 0.7667934093789607,
|
| 1701 |
+
"grad_norm": 0.9753304719924927,
|
| 1702 |
+
"learning_rate": 1.3678321299188801e-05,
|
| 1703 |
+
"loss": 1.2892273902893066,
|
| 1704 |
+
"step": 1210
|
| 1705 |
+
},
|
| 1706 |
+
{
|
| 1707 |
+
"epoch": 0.7699619771863118,
|
| 1708 |
+
"grad_norm": 1.631977915763855,
|
| 1709 |
+
"learning_rate": 1.3327461030142036e-05,
|
| 1710 |
+
"loss": 1.2959428787231446,
|
| 1711 |
+
"step": 1215
|
| 1712 |
+
},
|
| 1713 |
+
{
|
| 1714 |
+
"epoch": 0.7731305449936628,
|
| 1715 |
+
"grad_norm": 0.9189720749855042,
|
| 1716 |
+
"learning_rate": 1.298046615766112e-05,
|
| 1717 |
+
"loss": 1.3217609405517579,
|
| 1718 |
+
"step": 1220
|
| 1719 |
+
},
|
| 1720 |
+
{
|
| 1721 |
+
"epoch": 0.7762991128010139,
|
| 1722 |
+
"grad_norm": 0.9295359253883362,
|
| 1723 |
+
"learning_rate": 1.2637373256055446e-05,
|
| 1724 |
+
"loss": 1.354560661315918,
|
| 1725 |
+
"step": 1225
|
| 1726 |
+
},
|
| 1727 |
+
{
|
| 1728 |
+
"epoch": 0.779467680608365,
|
| 1729 |
+
"grad_norm": 0.8047182559967041,
|
| 1730 |
+
"learning_rate": 1.229821848835499e-05,
|
| 1731 |
+
"loss": 1.3275278091430665,
|
| 1732 |
+
"step": 1230
|
| 1733 |
+
},
|
| 1734 |
+
{
|
| 1735 |
+
"epoch": 0.7826362484157161,
|
| 1736 |
+
"grad_norm": 1.093078374862671,
|
| 1737 |
+
"learning_rate": 1.1963037602498384e-05,
|
| 1738 |
+
"loss": 1.329340362548828,
|
| 1739 |
+
"step": 1235
|
| 1740 |
+
},
|
| 1741 |
+
{
|
| 1742 |
+
"epoch": 0.7858048162230672,
|
| 1743 |
+
"grad_norm": 1.3584924936294556,
|
| 1744 |
+
"learning_rate": 1.1631865927565149e-05,
|
| 1745 |
+
"loss": 1.2881906509399415,
|
| 1746 |
+
"step": 1240
|
| 1747 |
+
},
|
| 1748 |
+
{
|
| 1749 |
+
"epoch": 0.7889733840304183,
|
| 1750 |
+
"grad_norm": 0.9902975559234619,
|
| 1751 |
+
"learning_rate": 1.130473837005186e-05,
|
| 1752 |
+
"loss": 1.3978662490844727,
|
| 1753 |
+
"step": 1245
|
| 1754 |
+
},
|
| 1755 |
+
{
|
| 1756 |
+
"epoch": 0.7921419518377694,
|
| 1757 |
+
"grad_norm": 1.096245288848877,
|
| 1758 |
+
"learning_rate": 1.0981689410192813e-05,
|
| 1759 |
+
"loss": 1.2938296318054199,
|
| 1760 |
+
"step": 1250
|
| 1761 |
+
},
|
| 1762 |
+
{
|
| 1763 |
+
"epoch": 0.7953105196451205,
|
| 1764 |
+
"grad_norm": 1.063981056213379,
|
| 1765 |
+
"learning_rate": 1.066275309832584e-05,
|
| 1766 |
+
"loss": 1.3088212966918946,
|
| 1767 |
+
"step": 1255
|
| 1768 |
+
},
|
| 1769 |
+
{
|
| 1770 |
+
"epoch": 0.7984790874524715,
|
| 1771 |
+
"grad_norm": 0.9275028705596924,
|
| 1772 |
+
"learning_rate": 1.03479630513032e-05,
|
| 1773 |
+
"loss": 1.264383316040039,
|
| 1774 |
+
"step": 1260
|
| 1775 |
+
},
|
| 1776 |
+
{
|
| 1777 |
+
"epoch": 0.8016476552598225,
|
| 1778 |
+
"grad_norm": 1.3804821968078613,
|
| 1779 |
+
"learning_rate": 1.0037352448948279e-05,
|
| 1780 |
+
"loss": 1.2914956092834473,
|
| 1781 |
+
"step": 1265
|
| 1782 |
+
},
|
| 1783 |
+
{
|
| 1784 |
+
"epoch": 0.8048162230671736,
|
| 1785 |
+
"grad_norm": 0.8959029316902161,
|
| 1786 |
+
"learning_rate": 9.73095403055837e-06,
|
| 1787 |
+
"loss": 1.3482831954956054,
|
| 1788 |
+
"step": 1270
|
| 1789 |
+
},
|
| 1790 |
+
{
|
| 1791 |
+
"epoch": 0.8079847908745247,
|
| 1792 |
+
"grad_norm": 0.9850245118141174,
|
| 1793 |
+
"learning_rate": 9.428800091453838e-06,
|
| 1794 |
+
"loss": 1.331840419769287,
|
| 1795 |
+
"step": 1275
|
| 1796 |
+
},
|
| 1797 |
+
{
|
| 1798 |
+
"epoch": 0.8111533586818758,
|
| 1799 |
+
"grad_norm": 0.9934479594230652,
|
| 1800 |
+
"learning_rate": 9.130922479574067e-06,
|
| 1801 |
+
"loss": 1.3903246879577638,
|
| 1802 |
+
"step": 1280
|
| 1803 |
+
},
|
| 1804 |
+
{
|
| 1805 |
+
"epoch": 0.8143219264892269,
|
| 1806 |
+
"grad_norm": 0.8619696497917175,
|
| 1807 |
+
"learning_rate": 8.837352592120645e-06,
|
| 1808 |
+
"loss": 1.3167320251464845,
|
| 1809 |
+
"step": 1285
|
| 1810 |
+
},
|
| 1811 |
+
{
|
| 1812 |
+
"epoch": 0.8174904942965779,
|
| 1813 |
+
"grad_norm": 0.8320128321647644,
|
| 1814 |
+
"learning_rate": 8.548121372247918e-06,
|
| 1815 |
+
"loss": 1.2873162269592284,
|
| 1816 |
+
"step": 1290
|
| 1817 |
+
},
|
| 1818 |
+
{
|
| 1819 |
+
"epoch": 0.820659062103929,
|
| 1820 |
+
"grad_norm": 1.2043529748916626,
|
| 1821 |
+
"learning_rate": 8.26325930580159e-06,
|
| 1822 |
+
"loss": 1.283571720123291,
|
| 1823 |
+
"step": 1295
|
| 1824 |
+
},
|
| 1825 |
+
{
|
| 1826 |
+
"epoch": 0.8238276299112801,
|
| 1827 |
+
"grad_norm": 1.070096731185913,
|
| 1828 |
+
"learning_rate": 7.982796418105371e-06,
|
| 1829 |
+
"loss": 1.2654370307922362,
|
| 1830 |
+
"step": 1300
|
| 1831 |
+
},
|
| 1832 |
+
{
|
| 1833 |
+
"epoch": 0.8269961977186312,
|
| 1834 |
+
"grad_norm": 1.011426329612732,
|
| 1835 |
+
"learning_rate": 7.706762270796186e-06,
|
| 1836 |
+
"loss": 1.387790584564209,
|
| 1837 |
+
"step": 1305
|
| 1838 |
+
},
|
| 1839 |
+
{
|
| 1840 |
+
"epoch": 0.8301647655259823,
|
| 1841 |
+
"grad_norm": 1.0511480569839478,
|
| 1842 |
+
"learning_rate": 7.435185958708351e-06,
|
| 1843 |
+
"loss": 1.37603759765625,
|
| 1844 |
+
"step": 1310
|
| 1845 |
+
},
|
| 1846 |
+
{
|
| 1847 |
+
"epoch": 0.8333333333333334,
|
| 1848 |
+
"grad_norm": 0.9717739820480347,
|
| 1849 |
+
"learning_rate": 7.168096106806871e-06,
|
| 1850 |
+
"loss": 1.2307350158691406,
|
| 1851 |
+
"step": 1315
|
| 1852 |
+
},
|
| 1853 |
+
{
|
| 1854 |
+
"epoch": 0.8365019011406845,
|
| 1855 |
+
"grad_norm": 0.9008772969245911,
|
| 1856 |
+
"learning_rate": 6.905520867170223e-06,
|
| 1857 |
+
"loss": 1.4192010879516601,
|
| 1858 |
+
"step": 1320
|
| 1859 |
+
},
|
| 1860 |
+
{
|
| 1861 |
+
"epoch": 0.8396704689480355,
|
| 1862 |
+
"grad_norm": 1.2221213579177856,
|
| 1863 |
+
"learning_rate": 6.647487916023177e-06,
|
| 1864 |
+
"loss": 1.4267322540283203,
|
| 1865 |
+
"step": 1325
|
| 1866 |
+
},
|
| 1867 |
+
{
|
| 1868 |
+
"epoch": 0.8428390367553865,
|
| 1869 |
+
"grad_norm": 0.789287805557251,
|
| 1870 |
+
"learning_rate": 6.394024450819458e-06,
|
| 1871 |
+
"loss": 1.3336950302124024,
|
| 1872 |
+
"step": 1330
|
| 1873 |
+
},
|
| 1874 |
+
{
|
| 1875 |
+
"epoch": 0.8460076045627376,
|
| 1876 |
+
"grad_norm": 0.8760536909103394,
|
| 1877 |
+
"learning_rate": 6.145157187375211e-06,
|
| 1878 |
+
"loss": 1.2808075904846192,
|
| 1879 |
+
"step": 1335
|
| 1880 |
+
},
|
| 1881 |
+
{
|
| 1882 |
+
"epoch": 0.8491761723700887,
|
| 1883 |
+
"grad_norm": 1.1593248844146729,
|
| 1884 |
+
"learning_rate": 5.900912357052996e-06,
|
| 1885 |
+
"loss": 1.3868263244628907,
|
| 1886 |
+
"step": 1340
|
| 1887 |
+
},
|
| 1888 |
+
{
|
| 1889 |
+
"epoch": 0.8523447401774398,
|
| 1890 |
+
"grad_norm": 0.8710156679153442,
|
| 1891 |
+
"learning_rate": 5.6613157039969055e-06,
|
| 1892 |
+
"loss": 1.3790958404541016,
|
| 1893 |
+
"step": 1345
|
| 1894 |
+
},
|
| 1895 |
+
{
|
| 1896 |
+
"epoch": 0.8555133079847909,
|
| 1897 |
+
"grad_norm": 1.0077850818634033,
|
| 1898 |
+
"learning_rate": 5.426392482419124e-06,
|
| 1899 |
+
"loss": 1.2981806755065919,
|
| 1900 |
+
"step": 1350
|
| 1901 |
+
},
|
| 1902 |
+
{
|
| 1903 |
+
"epoch": 0.858681875792142,
|
| 1904 |
+
"grad_norm": 1.0064268112182617,
|
| 1905 |
+
"learning_rate": 5.196167453938011e-06,
|
| 1906 |
+
"loss": 1.3274435997009277,
|
| 1907 |
+
"step": 1355
|
| 1908 |
+
},
|
| 1909 |
+
{
|
| 1910 |
+
"epoch": 0.861850443599493,
|
| 1911 |
+
"grad_norm": 1.074414610862732,
|
| 1912 |
+
"learning_rate": 4.970664884968135e-06,
|
| 1913 |
+
"loss": 1.3398886680603028,
|
| 1914 |
+
"step": 1360
|
| 1915 |
+
},
|
| 1916 |
+
{
|
| 1917 |
+
"epoch": 0.8650190114068441,
|
| 1918 |
+
"grad_norm": 0.9940077066421509,
|
| 1919 |
+
"learning_rate": 4.749908544162551e-06,
|
| 1920 |
+
"loss": 1.3527451515197755,
|
| 1921 |
+
"step": 1365
|
| 1922 |
+
},
|
| 1923 |
+
{
|
| 1924 |
+
"epoch": 0.8681875792141952,
|
| 1925 |
+
"grad_norm": 1.0884714126586914,
|
| 1926 |
+
"learning_rate": 4.533921699907534e-06,
|
| 1927 |
+
"loss": 1.2722294807434082,
|
| 1928 |
+
"step": 1370
|
| 1929 |
+
},
|
| 1930 |
+
{
|
| 1931 |
+
"epoch": 0.8713561470215463,
|
| 1932 |
+
"grad_norm": 0.8487538695335388,
|
| 1933 |
+
"learning_rate": 4.322727117869951e-06,
|
| 1934 |
+
"loss": 1.3465628623962402,
|
| 1935 |
+
"step": 1375
|
| 1936 |
+
},
|
| 1937 |
+
{
|
| 1938 |
+
"epoch": 0.8745247148288974,
|
| 1939 |
+
"grad_norm": 0.9994097352027893,
|
| 1940 |
+
"learning_rate": 4.116347058597769e-06,
|
| 1941 |
+
"loss": 1.2989694595336914,
|
| 1942 |
+
"step": 1380
|
| 1943 |
+
},
|
| 1944 |
+
{
|
| 1945 |
+
"epoch": 0.8776932826362485,
|
| 1946 |
+
"grad_norm": 1.4533636569976807,
|
| 1947 |
+
"learning_rate": 3.9148032751736565e-06,
|
| 1948 |
+
"loss": 1.2593950271606444,
|
| 1949 |
+
"step": 1385
|
| 1950 |
+
},
|
| 1951 |
+
{
|
| 1952 |
+
"epoch": 0.8808618504435995,
|
| 1953 |
+
"grad_norm": 1.2208831310272217,
|
| 1954 |
+
"learning_rate": 3.71811701092219e-06,
|
| 1955 |
+
"loss": 1.3306990623474122,
|
| 1956 |
+
"step": 1390
|
| 1957 |
+
},
|
| 1958 |
+
{
|
| 1959 |
+
"epoch": 0.8840304182509505,
|
| 1960 |
+
"grad_norm": 0.7860085964202881,
|
| 1961 |
+
"learning_rate": 3.526308997170724e-06,
|
| 1962 |
+
"loss": 1.3549036979675293,
|
| 1963 |
+
"step": 1395
|
| 1964 |
+
},
|
| 1965 |
+
{
|
| 1966 |
+
"epoch": 0.8871989860583016,
|
| 1967 |
+
"grad_norm": 0.9392310976982117,
|
| 1968 |
+
"learning_rate": 3.3393994510642567e-06,
|
| 1969 |
+
"loss": 1.3818175315856933,
|
| 1970 |
+
"step": 1400
|
| 1971 |
+
},
|
| 1972 |
+
{
|
| 1973 |
+
"epoch": 0.8903675538656527,
|
| 1974 |
+
"grad_norm": 1.0431451797485352,
|
| 1975 |
+
"learning_rate": 3.157408073434476e-06,
|
| 1976 |
+
"loss": 1.2601960182189942,
|
| 1977 |
+
"step": 1405
|
| 1978 |
+
},
|
| 1979 |
+
{
|
| 1980 |
+
"epoch": 0.8935361216730038,
|
| 1981 |
+
"grad_norm": 1.0251599550247192,
|
| 1982 |
+
"learning_rate": 2.980354046723216e-06,
|
| 1983 |
+
"loss": 1.2811641693115234,
|
| 1984 |
+
"step": 1410
|
| 1985 |
+
},
|
| 1986 |
+
{
|
| 1987 |
+
"epoch": 0.8967046894803549,
|
| 1988 |
+
"grad_norm": 0.974606990814209,
|
| 1989 |
+
"learning_rate": 2.8082560329605934e-06,
|
| 1990 |
+
"loss": 1.3238912582397462,
|
| 1991 |
+
"step": 1415
|
| 1992 |
+
},
|
| 1993 |
+
{
|
| 1994 |
+
"epoch": 0.899873257287706,
|
| 1995 |
+
"grad_norm": 0.9117522835731506,
|
| 1996 |
+
"learning_rate": 2.641132171797989e-06,
|
| 1997 |
+
"loss": 1.3850933074951173,
|
| 1998 |
+
"step": 1420
|
| 1999 |
+
},
|
| 2000 |
+
{
|
| 2001 |
+
"epoch": 0.903041825095057,
|
| 2002 |
+
"grad_norm": 0.9673117995262146,
|
| 2003 |
+
"learning_rate": 2.479000078596011e-06,
|
| 2004 |
+
"loss": 1.2810011863708497,
|
| 2005 |
+
"step": 1425
|
| 2006 |
+
},
|
| 2007 |
+
{
|
| 2008 |
+
"epoch": 0.9062103929024081,
|
| 2009 |
+
"grad_norm": 0.935701310634613,
|
| 2010 |
+
"learning_rate": 2.321876842567844e-06,
|
| 2011 |
+
"loss": 1.3237515449523927,
|
| 2012 |
+
"step": 1430
|
| 2013 |
+
},
|
| 2014 |
+
{
|
| 2015 |
+
"epoch": 0.9093789607097592,
|
| 2016 |
+
"grad_norm": 1.1298409700393677,
|
| 2017 |
+
"learning_rate": 2.1697790249779636e-06,
|
| 2018 |
+
"loss": 1.348030185699463,
|
| 2019 |
+
"step": 1435
|
| 2020 |
+
},
|
| 2021 |
+
{
|
| 2022 |
+
"epoch": 0.9125475285171103,
|
| 2023 |
+
"grad_norm": 1.2701897621154785,
|
| 2024 |
+
"learning_rate": 2.0227226573965364e-06,
|
| 2025 |
+
"loss": 1.2942058563232421,
|
| 2026 |
+
"step": 1440
|
| 2027 |
+
},
|
| 2028 |
+
{
|
| 2029 |
+
"epoch": 0.9157160963244614,
|
| 2030 |
+
"grad_norm": 1.2197922468185425,
|
| 2031 |
+
"learning_rate": 1.8807232400096575e-06,
|
| 2032 |
+
"loss": 1.3446466445922851,
|
| 2033 |
+
"step": 1445
|
| 2034 |
+
},
|
| 2035 |
+
{
|
| 2036 |
+
"epoch": 0.9188846641318125,
|
| 2037 |
+
"grad_norm": 1.1077975034713745,
|
| 2038 |
+
"learning_rate": 1.7437957399855487e-06,
|
| 2039 |
+
"loss": 1.2483136177062988,
|
| 2040 |
+
"step": 1450
|
| 2041 |
+
},
|
| 2042 |
+
{
|
| 2043 |
+
"epoch": 0.9220532319391636,
|
| 2044 |
+
"grad_norm": 0.973805844783783,
|
| 2045 |
+
"learning_rate": 1.6119545898970135e-06,
|
| 2046 |
+
"loss": 1.2563264846801758,
|
| 2047 |
+
"step": 1455
|
| 2048 |
+
},
|
| 2049 |
+
{
|
| 2050 |
+
"epoch": 0.9252217997465145,
|
| 2051 |
+
"grad_norm": 1.1137876510620117,
|
| 2052 |
+
"learning_rate": 1.4852136862001764e-06,
|
| 2053 |
+
"loss": 1.3047880172729491,
|
| 2054 |
+
"step": 1460
|
| 2055 |
+
},
|
| 2056 |
+
{
|
| 2057 |
+
"epoch": 0.9283903675538656,
|
| 2058 |
+
"grad_norm": 1.1174026727676392,
|
| 2059 |
+
"learning_rate": 1.3635863877697607e-06,
|
| 2060 |
+
"loss": 1.3538530349731446,
|
| 2061 |
+
"step": 1465
|
| 2062 |
+
},
|
| 2063 |
+
{
|
| 2064 |
+
"epoch": 0.9315589353612167,
|
| 2065 |
+
"grad_norm": 1.254982352256775,
|
| 2066 |
+
"learning_rate": 1.247085514491031e-06,
|
| 2067 |
+
"loss": 1.3151609420776367,
|
| 2068 |
+
"step": 1470
|
| 2069 |
+
},
|
| 2070 |
+
{
|
| 2071 |
+
"epoch": 0.9347275031685678,
|
| 2072 |
+
"grad_norm": 0.9658820033073425,
|
| 2073 |
+
"learning_rate": 1.135723345908507e-06,
|
| 2074 |
+
"loss": 1.3587602615356444,
|
| 2075 |
+
"step": 1475
|
| 2076 |
+
},
|
| 2077 |
+
{
|
| 2078 |
+
"epoch": 0.9378960709759189,
|
| 2079 |
+
"grad_norm": 1.3376219272613525,
|
| 2080 |
+
"learning_rate": 1.0295116199317057e-06,
|
| 2081 |
+
"loss": 1.342695426940918,
|
| 2082 |
+
"step": 1480
|
| 2083 |
+
},
|
| 2084 |
+
{
|
| 2085 |
+
"epoch": 0.94106463878327,
|
| 2086 |
+
"grad_norm": 0.9864044785499573,
|
| 2087 |
+
"learning_rate": 9.284615315979128e-07,
|
| 2088 |
+
"loss": 1.346114158630371,
|
| 2089 |
+
"step": 1485
|
| 2090 |
+
},
|
| 2091 |
+
{
|
| 2092 |
+
"epoch": 0.944233206590621,
|
| 2093 |
+
"grad_norm": 1.00253164768219,
|
| 2094 |
+
"learning_rate": 8.32583731892178e-07,
|
| 2095 |
+
"loss": 1.386203670501709,
|
| 2096 |
+
"step": 1490
|
| 2097 |
+
},
|
| 2098 |
+
{
|
| 2099 |
+
"epoch": 0.9474017743979721,
|
| 2100 |
+
"grad_norm": 1.2469029426574707,
|
| 2101 |
+
"learning_rate": 7.418883266246734e-07,
|
| 2102 |
+
"loss": 1.2846878051757813,
|
| 2103 |
+
"step": 1495
|
| 2104 |
+
},
|
| 2105 |
+
{
|
| 2106 |
+
"epoch": 0.9505703422053232,
|
| 2107 |
+
"grad_norm": 1.0144803524017334,
|
| 2108 |
+
"learning_rate": 6.563848753655455e-07,
|
| 2109 |
+
"loss": 1.3169589996337892,
|
| 2110 |
+
"step": 1500
|
| 2111 |
+
},
|
| 2112 |
+
{
|
| 2113 |
+
"epoch": 0.9537389100126743,
|
| 2114 |
+
"grad_norm": 1.387046217918396,
|
| 2115 |
+
"learning_rate": 5.760823904372436e-07,
|
| 2116 |
+
"loss": 1.3220189094543457,
|
| 2117 |
+
"step": 1505
|
| 2118 |
+
},
|
| 2119 |
+
{
|
| 2120 |
+
"epoch": 0.9569074778200254,
|
| 2121 |
+
"grad_norm": 0.8839166760444641,
|
| 2122 |
+
"learning_rate": 5.009893359646523e-07,
|
| 2123 |
+
"loss": 1.2524205207824708,
|
| 2124 |
+
"step": 1510
|
| 2125 |
+
},
|
| 2126 |
+
{
|
| 2127 |
+
"epoch": 0.9600760456273765,
|
| 2128 |
+
"grad_norm": 0.9231826066970825,
|
| 2129 |
+
"learning_rate": 4.311136269829208e-07,
|
| 2130 |
+
"loss": 1.2773988723754883,
|
| 2131 |
+
"step": 1515
|
| 2132 |
+
},
|
| 2133 |
+
{
|
| 2134 |
+
"epoch": 0.9632446134347274,
|
| 2135 |
+
"grad_norm": 0.761739194393158,
|
| 2136 |
+
"learning_rate": 3.66462628603198e-07,
|
| 2137 |
+
"loss": 1.3505694389343261,
|
| 2138 |
+
"step": 1520
|
| 2139 |
+
},
|
| 2140 |
+
{
|
| 2141 |
+
"epoch": 0.9664131812420785,
|
| 2142 |
+
"grad_norm": 0.9646550416946411,
|
| 2143 |
+
"learning_rate": 3.0704315523631953e-07,
|
| 2144 |
+
"loss": 1.336940383911133,
|
| 2145 |
+
"step": 1525
|
| 2146 |
+
},
|
| 2147 |
+
{
|
| 2148 |
+
"epoch": 0.9695817490494296,
|
| 2149 |
+
"grad_norm": 0.8002787232398987,
|
| 2150 |
+
"learning_rate": 2.528614698745602e-07,
|
| 2151 |
+
"loss": 1.373541259765625,
|
| 2152 |
+
"step": 1530
|
| 2153 |
+
},
|
| 2154 |
+
{
|
| 2155 |
+
"epoch": 0.9727503168567807,
|
| 2156 |
+
"grad_norm": 0.7745749354362488,
|
| 2157 |
+
"learning_rate": 2.0392328343149525e-07,
|
| 2158 |
+
"loss": 1.3964224815368653,
|
| 2159 |
+
"step": 1535
|
| 2160 |
+
},
|
| 2161 |
+
{
|
| 2162 |
+
"epoch": 0.9759188846641318,
|
| 2163 |
+
"grad_norm": 0.9030261039733887,
|
| 2164 |
+
"learning_rate": 1.6023375414004894e-07,
|
| 2165 |
+
"loss": 1.373337459564209,
|
| 2166 |
+
"step": 1540
|
| 2167 |
+
},
|
| 2168 |
+
{
|
| 2169 |
+
"epoch": 0.9790874524714829,
|
| 2170 |
+
"grad_norm": 1.1446213722229004,
|
| 2171 |
+
"learning_rate": 1.2179748700879012e-07,
|
| 2172 |
+
"loss": 1.379157829284668,
|
| 2173 |
+
"step": 1545
|
| 2174 |
+
},
|
| 2175 |
+
{
|
| 2176 |
+
"epoch": 0.982256020278834,
|
| 2177 |
+
"grad_norm": 0.9039878249168396,
|
| 2178 |
+
"learning_rate": 8.861853333657077e-08,
|
| 2179 |
+
"loss": 1.2705472946166991,
|
| 2180 |
+
"step": 1550
|
| 2181 |
+
},
|
| 2182 |
+
{
|
| 2183 |
+
"epoch": 0.985424588086185,
|
| 2184 |
+
"grad_norm": 1.1875966787338257,
|
| 2185 |
+
"learning_rate": 6.070039028550633e-08,
|
| 2186 |
+
"loss": 1.2417927742004395,
|
| 2187 |
+
"step": 1555
|
| 2188 |
+
},
|
| 2189 |
+
{
|
| 2190 |
+
"epoch": 0.9885931558935361,
|
| 2191 |
+
"grad_norm": 0.8743357062339783,
|
| 2192 |
+
"learning_rate": 3.8046000512326206e-08,
|
| 2193 |
+
"loss": 1.3056893348693848,
|
| 2194 |
+
"step": 1560
|
| 2195 |
+
},
|
| 2196 |
+
{
|
| 2197 |
+
"epoch": 0.9917617237008872,
|
| 2198 |
+
"grad_norm": 0.9445528984069824,
|
| 2199 |
+
"learning_rate": 2.065775185827734e-08,
|
| 2200 |
+
"loss": 1.3818035125732422,
|
| 2201 |
+
"step": 1565
|
| 2202 |
+
},
|
| 2203 |
+
{
|
| 2204 |
+
"epoch": 0.9949302915082383,
|
| 2205 |
+
"grad_norm": 0.9100821018218994,
|
| 2206 |
+
"learning_rate": 8.537477097364522e-09,
|
| 2207 |
+
"loss": 1.3335657119750977,
|
| 2208 |
+
"step": 1570
|
| 2209 |
+
},
|
| 2210 |
+
{
|
| 2211 |
+
"epoch": 0.9980988593155894,
|
| 2212 |
+
"grad_norm": 1.2100127935409546,
|
| 2213 |
+
"learning_rate": 1.6864537432270677e-09,
|
| 2214 |
+
"loss": 1.3559389114379883,
|
| 2215 |
+
"step": 1575
|
| 2216 |
+
}
|
| 2217 |
+
],
|
| 2218 |
+
"logging_steps": 5,
|
| 2219 |
+
"max_steps": 1578,
|
| 2220 |
+
"num_input_tokens_seen": 0,
|
| 2221 |
+
"num_train_epochs": 1,
|
| 2222 |
+
"save_steps": 500,
|
| 2223 |
+
"stateful_callbacks": {
|
| 2224 |
+
"TrainerControl": {
|
| 2225 |
+
"args": {
|
| 2226 |
+
"should_epoch_stop": false,
|
| 2227 |
+
"should_evaluate": false,
|
| 2228 |
+
"should_log": false,
|
| 2229 |
+
"should_save": true,
|
| 2230 |
+
"should_training_stop": true
|
| 2231 |
+
},
|
| 2232 |
+
"attributes": {}
|
| 2233 |
+
}
|
| 2234 |
+
},
|
| 2235 |
+
"total_flos": 1.9473863044969267e+17,
|
| 2236 |
+
"train_batch_size": 1,
|
| 2237 |
+
"trial_name": null,
|
| 2238 |
+
"trial_params": null
|
| 2239 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1d7ee3557ea2f42831dff2061cafdfbc0cf8415dcf13d4c40fa0fd6f933e0e2f
|
| 3 |
+
size 5905
|