Upload folder using huggingface_hub
Browse filesThis view is limited to 50 files because it contains too many changes.
See raw diff
- .gitattributes +9 -0
- cpt_qwen_14B/best_adapter/README.md +207 -0
- cpt_qwen_14B/best_adapter/adapter_config.json +43 -0
- cpt_qwen_14B/best_adapter/adapter_model.safetensors +3 -0
- cpt_qwen_14B/best_adapter/chat_template.jinja +54 -0
- cpt_qwen_14B/best_adapter/tokenizer.json +3 -0
- cpt_qwen_14B/best_adapter/tokenizer_config.json +29 -0
- cpt_qwen_14B/best_adapter/training_args.bin +3 -0
- cpt_qwen_14B/checkpoints/checkpoint-100/README.md +207 -0
- cpt_qwen_14B/checkpoints/checkpoint-100/adapter_config.json +43 -0
- cpt_qwen_14B/checkpoints/checkpoint-100/adapter_model.safetensors +3 -0
- cpt_qwen_14B/checkpoints/checkpoint-100/chat_template.jinja +54 -0
- cpt_qwen_14B/checkpoints/checkpoint-100/optimizer.pt +3 -0
- cpt_qwen_14B/checkpoints/checkpoint-100/rng_state.pth +3 -0
- cpt_qwen_14B/checkpoints/checkpoint-100/scheduler.pt +3 -0
- cpt_qwen_14B/checkpoints/checkpoint-100/tokenizer.json +3 -0
- cpt_qwen_14B/checkpoints/checkpoint-100/tokenizer_config.json +29 -0
- cpt_qwen_14B/checkpoints/checkpoint-100/trainer_state.json +750 -0
- cpt_qwen_14B/checkpoints/checkpoint-100/training_args.bin +3 -0
- cpt_qwen_14B/checkpoints/checkpoint-200/README.md +207 -0
- cpt_qwen_14B/checkpoints/checkpoint-200/adapter_config.json +43 -0
- cpt_qwen_14B/checkpoints/checkpoint-200/adapter_model.safetensors +3 -0
- cpt_qwen_14B/checkpoints/checkpoint-200/chat_template.jinja +54 -0
- cpt_qwen_14B/checkpoints/checkpoint-200/optimizer.pt +3 -0
- cpt_qwen_14B/checkpoints/checkpoint-200/rng_state.pth +3 -0
- cpt_qwen_14B/checkpoints/checkpoint-200/scheduler.pt +3 -0
- cpt_qwen_14B/checkpoints/checkpoint-200/tokenizer.json +3 -0
- cpt_qwen_14B/checkpoints/checkpoint-200/tokenizer_config.json +29 -0
- cpt_qwen_14B/checkpoints/checkpoint-200/trainer_state.json +1466 -0
- cpt_qwen_14B/checkpoints/checkpoint-200/training_args.bin +3 -0
- cpt_qwen_14B/checkpoints/checkpoint-300/README.md +207 -0
- cpt_qwen_14B/checkpoints/checkpoint-300/adapter_config.json +43 -0
- cpt_qwen_14B/checkpoints/checkpoint-300/adapter_model.safetensors +3 -0
- cpt_qwen_14B/checkpoints/checkpoint-300/chat_template.jinja +54 -0
- cpt_qwen_14B/checkpoints/checkpoint-300/optimizer.pt +3 -0
- cpt_qwen_14B/checkpoints/checkpoint-300/rng_state.pth +3 -0
- cpt_qwen_14B/checkpoints/checkpoint-300/scheduler.pt +3 -0
- cpt_qwen_14B/checkpoints/checkpoint-300/tokenizer.json +3 -0
- cpt_qwen_14B/checkpoints/checkpoint-300/tokenizer_config.json +29 -0
- cpt_qwen_14B/checkpoints/checkpoint-300/trainer_state.json +2182 -0
- cpt_qwen_14B/checkpoints/checkpoint-300/training_args.bin +3 -0
- cpt_qwen_14B/checkpoints/checkpoint-400/README.md +207 -0
- cpt_qwen_14B/checkpoints/checkpoint-400/adapter_config.json +43 -0
- cpt_qwen_14B/checkpoints/checkpoint-400/adapter_model.safetensors +3 -0
- cpt_qwen_14B/checkpoints/checkpoint-400/chat_template.jinja +54 -0
- cpt_qwen_14B/checkpoints/checkpoint-400/optimizer.pt +3 -0
- cpt_qwen_14B/checkpoints/checkpoint-400/rng_state.pth +3 -0
- cpt_qwen_14B/checkpoints/checkpoint-400/scheduler.pt +3 -0
- cpt_qwen_14B/checkpoints/checkpoint-400/tokenizer.json +3 -0
- cpt_qwen_14B/checkpoints/checkpoint-400/tokenizer_config.json +29 -0
.gitattributes
CHANGED
|
@@ -33,3 +33,12 @@ 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 |
+
cpt_qwen_14B/best_adapter/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 37 |
+
cpt_qwen_14B/checkpoints/checkpoint-100/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 38 |
+
cpt_qwen_14B/checkpoints/checkpoint-200/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 39 |
+
cpt_qwen_14B/checkpoints/checkpoint-300/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 40 |
+
cpt_qwen_14B/checkpoints/checkpoint-400/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 41 |
+
cpt_qwen_14B/checkpoints/checkpoint-500/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 42 |
+
cpt_qwen_14B/checkpoints/checkpoint-600/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 43 |
+
cpt_qwen_14B/checkpoints/checkpoint-656/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 44 |
+
cpt_qwen_14B/wandb/offline-run-20251223_125436-g6vlcw0j/run-g6vlcw0j.wandb filter=lfs diff=lfs merge=lfs -text
|
cpt_qwen_14B/best_adapter/README.md
ADDED
|
@@ -0,0 +1,207 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: /workspace/Models/Qwen2.5-Coder-14B
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:/workspace/Models/Qwen2.5-Coder-14B
|
| 7 |
+
- lora
|
| 8 |
+
- transformers
|
| 9 |
+
---
|
| 10 |
+
|
| 11 |
+
# Model Card for Model ID
|
| 12 |
+
|
| 13 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 14 |
+
|
| 15 |
+
|
| 16 |
+
|
| 17 |
+
## Model Details
|
| 18 |
+
|
| 19 |
+
### Model Description
|
| 20 |
+
|
| 21 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 22 |
+
|
| 23 |
+
|
| 24 |
+
|
| 25 |
+
- **Developed by:** [More Information Needed]
|
| 26 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 27 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 28 |
+
- **Model type:** [More Information Needed]
|
| 29 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 30 |
+
- **License:** [More Information Needed]
|
| 31 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 32 |
+
|
| 33 |
+
### Model Sources [optional]
|
| 34 |
+
|
| 35 |
+
<!-- Provide the basic links for the model. -->
|
| 36 |
+
|
| 37 |
+
- **Repository:** [More Information Needed]
|
| 38 |
+
- **Paper [optional]:** [More Information Needed]
|
| 39 |
+
- **Demo [optional]:** [More Information Needed]
|
| 40 |
+
|
| 41 |
+
## Uses
|
| 42 |
+
|
| 43 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 44 |
+
|
| 45 |
+
### Direct Use
|
| 46 |
+
|
| 47 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 48 |
+
|
| 49 |
+
[More Information Needed]
|
| 50 |
+
|
| 51 |
+
### Downstream Use [optional]
|
| 52 |
+
|
| 53 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 54 |
+
|
| 55 |
+
[More Information Needed]
|
| 56 |
+
|
| 57 |
+
### Out-of-Scope Use
|
| 58 |
+
|
| 59 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 60 |
+
|
| 61 |
+
[More Information Needed]
|
| 62 |
+
|
| 63 |
+
## Bias, Risks, and Limitations
|
| 64 |
+
|
| 65 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 66 |
+
|
| 67 |
+
[More Information Needed]
|
| 68 |
+
|
| 69 |
+
### Recommendations
|
| 70 |
+
|
| 71 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 72 |
+
|
| 73 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 74 |
+
|
| 75 |
+
## How to Get Started with the Model
|
| 76 |
+
|
| 77 |
+
Use the code below to get started with the model.
|
| 78 |
+
|
| 79 |
+
[More Information Needed]
|
| 80 |
+
|
| 81 |
+
## Training Details
|
| 82 |
+
|
| 83 |
+
### Training Data
|
| 84 |
+
|
| 85 |
+
<!-- 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. -->
|
| 86 |
+
|
| 87 |
+
[More Information Needed]
|
| 88 |
+
|
| 89 |
+
### Training Procedure
|
| 90 |
+
|
| 91 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 92 |
+
|
| 93 |
+
#### Preprocessing [optional]
|
| 94 |
+
|
| 95 |
+
[More Information Needed]
|
| 96 |
+
|
| 97 |
+
|
| 98 |
+
#### Training Hyperparameters
|
| 99 |
+
|
| 100 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 101 |
+
|
| 102 |
+
#### Speeds, Sizes, Times [optional]
|
| 103 |
+
|
| 104 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 105 |
+
|
| 106 |
+
[More Information Needed]
|
| 107 |
+
|
| 108 |
+
## Evaluation
|
| 109 |
+
|
| 110 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 111 |
+
|
| 112 |
+
### Testing Data, Factors & Metrics
|
| 113 |
+
|
| 114 |
+
#### Testing Data
|
| 115 |
+
|
| 116 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 117 |
+
|
| 118 |
+
[More Information Needed]
|
| 119 |
+
|
| 120 |
+
#### Factors
|
| 121 |
+
|
| 122 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 123 |
+
|
| 124 |
+
[More Information Needed]
|
| 125 |
+
|
| 126 |
+
#### Metrics
|
| 127 |
+
|
| 128 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 129 |
+
|
| 130 |
+
[More Information Needed]
|
| 131 |
+
|
| 132 |
+
### Results
|
| 133 |
+
|
| 134 |
+
[More Information Needed]
|
| 135 |
+
|
| 136 |
+
#### Summary
|
| 137 |
+
|
| 138 |
+
|
| 139 |
+
|
| 140 |
+
## Model Examination [optional]
|
| 141 |
+
|
| 142 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 143 |
+
|
| 144 |
+
[More Information Needed]
|
| 145 |
+
|
| 146 |
+
## Environmental Impact
|
| 147 |
+
|
| 148 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 149 |
+
|
| 150 |
+
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).
|
| 151 |
+
|
| 152 |
+
- **Hardware Type:** [More Information Needed]
|
| 153 |
+
- **Hours used:** [More Information Needed]
|
| 154 |
+
- **Cloud Provider:** [More Information Needed]
|
| 155 |
+
- **Compute Region:** [More Information Needed]
|
| 156 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 157 |
+
|
| 158 |
+
## Technical Specifications [optional]
|
| 159 |
+
|
| 160 |
+
### Model Architecture and Objective
|
| 161 |
+
|
| 162 |
+
[More Information Needed]
|
| 163 |
+
|
| 164 |
+
### Compute Infrastructure
|
| 165 |
+
|
| 166 |
+
[More Information Needed]
|
| 167 |
+
|
| 168 |
+
#### Hardware
|
| 169 |
+
|
| 170 |
+
[More Information Needed]
|
| 171 |
+
|
| 172 |
+
#### Software
|
| 173 |
+
|
| 174 |
+
[More Information Needed]
|
| 175 |
+
|
| 176 |
+
## Citation [optional]
|
| 177 |
+
|
| 178 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 179 |
+
|
| 180 |
+
**BibTeX:**
|
| 181 |
+
|
| 182 |
+
[More Information Needed]
|
| 183 |
+
|
| 184 |
+
**APA:**
|
| 185 |
+
|
| 186 |
+
[More Information Needed]
|
| 187 |
+
|
| 188 |
+
## Glossary [optional]
|
| 189 |
+
|
| 190 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 191 |
+
|
| 192 |
+
[More Information Needed]
|
| 193 |
+
|
| 194 |
+
## More Information [optional]
|
| 195 |
+
|
| 196 |
+
[More Information Needed]
|
| 197 |
+
|
| 198 |
+
## Model Card Authors [optional]
|
| 199 |
+
|
| 200 |
+
[More Information Needed]
|
| 201 |
+
|
| 202 |
+
## Model Card Contact
|
| 203 |
+
|
| 204 |
+
[More Information Needed]
|
| 205 |
+
### Framework versions
|
| 206 |
+
|
| 207 |
+
- PEFT 0.18.0
|
cpt_qwen_14B/best_adapter/adapter_config.json
ADDED
|
@@ -0,0 +1,43 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
+
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "/workspace/Models/Qwen2.5-Coder-14B",
|
| 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": 64,
|
| 20 |
+
"lora_bias": false,
|
| 21 |
+
"lora_dropout": 0.05,
|
| 22 |
+
"megatron_config": null,
|
| 23 |
+
"megatron_core": "megatron.core",
|
| 24 |
+
"modules_to_save": null,
|
| 25 |
+
"peft_type": "LORA",
|
| 26 |
+
"peft_version": "0.18.0",
|
| 27 |
+
"qalora_group_size": 16,
|
| 28 |
+
"r": 32,
|
| 29 |
+
"rank_pattern": {},
|
| 30 |
+
"revision": null,
|
| 31 |
+
"target_modules": [
|
| 32 |
+
"k_proj",
|
| 33 |
+
"o_proj",
|
| 34 |
+
"q_proj",
|
| 35 |
+
"v_proj"
|
| 36 |
+
],
|
| 37 |
+
"target_parameters": null,
|
| 38 |
+
"task_type": "CAUSAL_LM",
|
| 39 |
+
"trainable_token_indices": null,
|
| 40 |
+
"use_dora": false,
|
| 41 |
+
"use_qalora": false,
|
| 42 |
+
"use_rslora": false
|
| 43 |
+
}
|
cpt_qwen_14B/best_adapter/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:732e678c9e22bba352641afc71ed5fc2394671dd0d66707e288224822a906558
|
| 3 |
+
size 201378736
|
cpt_qwen_14B/best_adapter/chat_template.jinja
ADDED
|
@@ -0,0 +1,54 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{%- if tools %}
|
| 2 |
+
{{- '<|im_start|>system\n' }}
|
| 3 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 4 |
+
{{- messages[0]['content'] }}
|
| 5 |
+
{%- else %}
|
| 6 |
+
{{- 'You are a helpful assistant.' }}
|
| 7 |
+
{%- endif %}
|
| 8 |
+
{{- "\n\n# 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>" }}
|
| 9 |
+
{%- for tool in tools %}
|
| 10 |
+
{{- "\n" }}
|
| 11 |
+
{{- tool | tojson }}
|
| 12 |
+
{%- endfor %}
|
| 13 |
+
{{- "\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" }}
|
| 14 |
+
{%- else %}
|
| 15 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 16 |
+
{{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
|
| 17 |
+
{%- else %}
|
| 18 |
+
{{- '<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n' }}
|
| 19 |
+
{%- endif %}
|
| 20 |
+
{%- endif %}
|
| 21 |
+
{%- for message in messages %}
|
| 22 |
+
{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
|
| 23 |
+
{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
|
| 24 |
+
{%- elif message.role == "assistant" %}
|
| 25 |
+
{{- '<|im_start|>' + message.role }}
|
| 26 |
+
{%- if message.content %}
|
| 27 |
+
{{- '\n' + message.content }}
|
| 28 |
+
{%- endif %}
|
| 29 |
+
{%- for tool_call in message.tool_calls %}
|
| 30 |
+
{%- if tool_call.function is defined %}
|
| 31 |
+
{%- set tool_call = tool_call.function %}
|
| 32 |
+
{%- endif %}
|
| 33 |
+
{{- '\n<tool_call>\n{"name": "' }}
|
| 34 |
+
{{- tool_call.name }}
|
| 35 |
+
{{- '", "arguments": ' }}
|
| 36 |
+
{{- tool_call.arguments | tojson }}
|
| 37 |
+
{{- '}\n</tool_call>' }}
|
| 38 |
+
{%- endfor %}
|
| 39 |
+
{{- '<|im_end|>\n' }}
|
| 40 |
+
{%- elif message.role == "tool" %}
|
| 41 |
+
{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
|
| 42 |
+
{{- '<|im_start|>user' }}
|
| 43 |
+
{%- endif %}
|
| 44 |
+
{{- '\n<tool_response>\n' }}
|
| 45 |
+
{{- message.content }}
|
| 46 |
+
{{- '\n</tool_response>' }}
|
| 47 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
| 48 |
+
{{- '<|im_end|>\n' }}
|
| 49 |
+
{%- endif %}
|
| 50 |
+
{%- endif %}
|
| 51 |
+
{%- endfor %}
|
| 52 |
+
{%- if add_generation_prompt %}
|
| 53 |
+
{{- '<|im_start|>assistant\n' }}
|
| 54 |
+
{%- endif %}
|
cpt_qwen_14B/best_adapter/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3fd169731d2cbde95e10bf356d66d5997fd885dd8dbb6fb4684da3f23b2585d8
|
| 3 |
+
size 11421892
|
cpt_qwen_14B/best_adapter/tokenizer_config.json
ADDED
|
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"backend": "tokenizers",
|
| 4 |
+
"bos_token": null,
|
| 5 |
+
"clean_up_tokenization_spaces": false,
|
| 6 |
+
"eos_token": "<|endoftext|>",
|
| 7 |
+
"errors": "replace",
|
| 8 |
+
"extra_special_tokens": [
|
| 9 |
+
"<|im_start|>",
|
| 10 |
+
"<|im_end|>",
|
| 11 |
+
"<|object_ref_start|>",
|
| 12 |
+
"<|object_ref_end|>",
|
| 13 |
+
"<|box_start|>",
|
| 14 |
+
"<|box_end|>",
|
| 15 |
+
"<|quad_start|>",
|
| 16 |
+
"<|quad_end|>",
|
| 17 |
+
"<|vision_start|>",
|
| 18 |
+
"<|vision_end|>",
|
| 19 |
+
"<|vision_pad|>",
|
| 20 |
+
"<|image_pad|>",
|
| 21 |
+
"<|video_pad|>"
|
| 22 |
+
],
|
| 23 |
+
"is_local": true,
|
| 24 |
+
"model_max_length": 32768,
|
| 25 |
+
"pad_token": "<|endoftext|>",
|
| 26 |
+
"split_special_tokens": false,
|
| 27 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 28 |
+
"unk_token": null
|
| 29 |
+
}
|
cpt_qwen_14B/best_adapter/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a501e145e724e2b92f08ecb0badd762f4f3a8472eb7b53a96edc24d2ff6150ce
|
| 3 |
+
size 5201
|
cpt_qwen_14B/checkpoints/checkpoint-100/README.md
ADDED
|
@@ -0,0 +1,207 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: /workspace/Models/Qwen2.5-Coder-14B
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:/workspace/Models/Qwen2.5-Coder-14B
|
| 7 |
+
- lora
|
| 8 |
+
- transformers
|
| 9 |
+
---
|
| 10 |
+
|
| 11 |
+
# Model Card for Model ID
|
| 12 |
+
|
| 13 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 14 |
+
|
| 15 |
+
|
| 16 |
+
|
| 17 |
+
## Model Details
|
| 18 |
+
|
| 19 |
+
### Model Description
|
| 20 |
+
|
| 21 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 22 |
+
|
| 23 |
+
|
| 24 |
+
|
| 25 |
+
- **Developed by:** [More Information Needed]
|
| 26 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 27 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 28 |
+
- **Model type:** [More Information Needed]
|
| 29 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 30 |
+
- **License:** [More Information Needed]
|
| 31 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 32 |
+
|
| 33 |
+
### Model Sources [optional]
|
| 34 |
+
|
| 35 |
+
<!-- Provide the basic links for the model. -->
|
| 36 |
+
|
| 37 |
+
- **Repository:** [More Information Needed]
|
| 38 |
+
- **Paper [optional]:** [More Information Needed]
|
| 39 |
+
- **Demo [optional]:** [More Information Needed]
|
| 40 |
+
|
| 41 |
+
## Uses
|
| 42 |
+
|
| 43 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 44 |
+
|
| 45 |
+
### Direct Use
|
| 46 |
+
|
| 47 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 48 |
+
|
| 49 |
+
[More Information Needed]
|
| 50 |
+
|
| 51 |
+
### Downstream Use [optional]
|
| 52 |
+
|
| 53 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 54 |
+
|
| 55 |
+
[More Information Needed]
|
| 56 |
+
|
| 57 |
+
### Out-of-Scope Use
|
| 58 |
+
|
| 59 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 60 |
+
|
| 61 |
+
[More Information Needed]
|
| 62 |
+
|
| 63 |
+
## Bias, Risks, and Limitations
|
| 64 |
+
|
| 65 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 66 |
+
|
| 67 |
+
[More Information Needed]
|
| 68 |
+
|
| 69 |
+
### Recommendations
|
| 70 |
+
|
| 71 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 72 |
+
|
| 73 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 74 |
+
|
| 75 |
+
## How to Get Started with the Model
|
| 76 |
+
|
| 77 |
+
Use the code below to get started with the model.
|
| 78 |
+
|
| 79 |
+
[More Information Needed]
|
| 80 |
+
|
| 81 |
+
## Training Details
|
| 82 |
+
|
| 83 |
+
### Training Data
|
| 84 |
+
|
| 85 |
+
<!-- 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. -->
|
| 86 |
+
|
| 87 |
+
[More Information Needed]
|
| 88 |
+
|
| 89 |
+
### Training Procedure
|
| 90 |
+
|
| 91 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 92 |
+
|
| 93 |
+
#### Preprocessing [optional]
|
| 94 |
+
|
| 95 |
+
[More Information Needed]
|
| 96 |
+
|
| 97 |
+
|
| 98 |
+
#### Training Hyperparameters
|
| 99 |
+
|
| 100 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 101 |
+
|
| 102 |
+
#### Speeds, Sizes, Times [optional]
|
| 103 |
+
|
| 104 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 105 |
+
|
| 106 |
+
[More Information Needed]
|
| 107 |
+
|
| 108 |
+
## Evaluation
|
| 109 |
+
|
| 110 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 111 |
+
|
| 112 |
+
### Testing Data, Factors & Metrics
|
| 113 |
+
|
| 114 |
+
#### Testing Data
|
| 115 |
+
|
| 116 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 117 |
+
|
| 118 |
+
[More Information Needed]
|
| 119 |
+
|
| 120 |
+
#### Factors
|
| 121 |
+
|
| 122 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 123 |
+
|
| 124 |
+
[More Information Needed]
|
| 125 |
+
|
| 126 |
+
#### Metrics
|
| 127 |
+
|
| 128 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 129 |
+
|
| 130 |
+
[More Information Needed]
|
| 131 |
+
|
| 132 |
+
### Results
|
| 133 |
+
|
| 134 |
+
[More Information Needed]
|
| 135 |
+
|
| 136 |
+
#### Summary
|
| 137 |
+
|
| 138 |
+
|
| 139 |
+
|
| 140 |
+
## Model Examination [optional]
|
| 141 |
+
|
| 142 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 143 |
+
|
| 144 |
+
[More Information Needed]
|
| 145 |
+
|
| 146 |
+
## Environmental Impact
|
| 147 |
+
|
| 148 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 149 |
+
|
| 150 |
+
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).
|
| 151 |
+
|
| 152 |
+
- **Hardware Type:** [More Information Needed]
|
| 153 |
+
- **Hours used:** [More Information Needed]
|
| 154 |
+
- **Cloud Provider:** [More Information Needed]
|
| 155 |
+
- **Compute Region:** [More Information Needed]
|
| 156 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 157 |
+
|
| 158 |
+
## Technical Specifications [optional]
|
| 159 |
+
|
| 160 |
+
### Model Architecture and Objective
|
| 161 |
+
|
| 162 |
+
[More Information Needed]
|
| 163 |
+
|
| 164 |
+
### Compute Infrastructure
|
| 165 |
+
|
| 166 |
+
[More Information Needed]
|
| 167 |
+
|
| 168 |
+
#### Hardware
|
| 169 |
+
|
| 170 |
+
[More Information Needed]
|
| 171 |
+
|
| 172 |
+
#### Software
|
| 173 |
+
|
| 174 |
+
[More Information Needed]
|
| 175 |
+
|
| 176 |
+
## Citation [optional]
|
| 177 |
+
|
| 178 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 179 |
+
|
| 180 |
+
**BibTeX:**
|
| 181 |
+
|
| 182 |
+
[More Information Needed]
|
| 183 |
+
|
| 184 |
+
**APA:**
|
| 185 |
+
|
| 186 |
+
[More Information Needed]
|
| 187 |
+
|
| 188 |
+
## Glossary [optional]
|
| 189 |
+
|
| 190 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 191 |
+
|
| 192 |
+
[More Information Needed]
|
| 193 |
+
|
| 194 |
+
## More Information [optional]
|
| 195 |
+
|
| 196 |
+
[More Information Needed]
|
| 197 |
+
|
| 198 |
+
## Model Card Authors [optional]
|
| 199 |
+
|
| 200 |
+
[More Information Needed]
|
| 201 |
+
|
| 202 |
+
## Model Card Contact
|
| 203 |
+
|
| 204 |
+
[More Information Needed]
|
| 205 |
+
### Framework versions
|
| 206 |
+
|
| 207 |
+
- PEFT 0.18.0
|
cpt_qwen_14B/checkpoints/checkpoint-100/adapter_config.json
ADDED
|
@@ -0,0 +1,43 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
+
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "/workspace/Models/Qwen2.5-Coder-14B",
|
| 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": 64,
|
| 20 |
+
"lora_bias": false,
|
| 21 |
+
"lora_dropout": 0.05,
|
| 22 |
+
"megatron_config": null,
|
| 23 |
+
"megatron_core": "megatron.core",
|
| 24 |
+
"modules_to_save": null,
|
| 25 |
+
"peft_type": "LORA",
|
| 26 |
+
"peft_version": "0.18.0",
|
| 27 |
+
"qalora_group_size": 16,
|
| 28 |
+
"r": 32,
|
| 29 |
+
"rank_pattern": {},
|
| 30 |
+
"revision": null,
|
| 31 |
+
"target_modules": [
|
| 32 |
+
"v_proj",
|
| 33 |
+
"q_proj",
|
| 34 |
+
"o_proj",
|
| 35 |
+
"k_proj"
|
| 36 |
+
],
|
| 37 |
+
"target_parameters": null,
|
| 38 |
+
"task_type": "CAUSAL_LM",
|
| 39 |
+
"trainable_token_indices": null,
|
| 40 |
+
"use_dora": false,
|
| 41 |
+
"use_qalora": false,
|
| 42 |
+
"use_rslora": false
|
| 43 |
+
}
|
cpt_qwen_14B/checkpoints/checkpoint-100/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5eb9828020a915a338a62e297a70ad08859fd2caf23d051f1106384bd1013c18
|
| 3 |
+
size 201378736
|
cpt_qwen_14B/checkpoints/checkpoint-100/chat_template.jinja
ADDED
|
@@ -0,0 +1,54 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{%- if tools %}
|
| 2 |
+
{{- '<|im_start|>system\n' }}
|
| 3 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 4 |
+
{{- messages[0]['content'] }}
|
| 5 |
+
{%- else %}
|
| 6 |
+
{{- 'You are a helpful assistant.' }}
|
| 7 |
+
{%- endif %}
|
| 8 |
+
{{- "\n\n# 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>" }}
|
| 9 |
+
{%- for tool in tools %}
|
| 10 |
+
{{- "\n" }}
|
| 11 |
+
{{- tool | tojson }}
|
| 12 |
+
{%- endfor %}
|
| 13 |
+
{{- "\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" }}
|
| 14 |
+
{%- else %}
|
| 15 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 16 |
+
{{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
|
| 17 |
+
{%- else %}
|
| 18 |
+
{{- '<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n' }}
|
| 19 |
+
{%- endif %}
|
| 20 |
+
{%- endif %}
|
| 21 |
+
{%- for message in messages %}
|
| 22 |
+
{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
|
| 23 |
+
{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
|
| 24 |
+
{%- elif message.role == "assistant" %}
|
| 25 |
+
{{- '<|im_start|>' + message.role }}
|
| 26 |
+
{%- if message.content %}
|
| 27 |
+
{{- '\n' + message.content }}
|
| 28 |
+
{%- endif %}
|
| 29 |
+
{%- for tool_call in message.tool_calls %}
|
| 30 |
+
{%- if tool_call.function is defined %}
|
| 31 |
+
{%- set tool_call = tool_call.function %}
|
| 32 |
+
{%- endif %}
|
| 33 |
+
{{- '\n<tool_call>\n{"name": "' }}
|
| 34 |
+
{{- tool_call.name }}
|
| 35 |
+
{{- '", "arguments": ' }}
|
| 36 |
+
{{- tool_call.arguments | tojson }}
|
| 37 |
+
{{- '}\n</tool_call>' }}
|
| 38 |
+
{%- endfor %}
|
| 39 |
+
{{- '<|im_end|>\n' }}
|
| 40 |
+
{%- elif message.role == "tool" %}
|
| 41 |
+
{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
|
| 42 |
+
{{- '<|im_start|>user' }}
|
| 43 |
+
{%- endif %}
|
| 44 |
+
{{- '\n<tool_response>\n' }}
|
| 45 |
+
{{- message.content }}
|
| 46 |
+
{{- '\n</tool_response>' }}
|
| 47 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
| 48 |
+
{{- '<|im_end|>\n' }}
|
| 49 |
+
{%- endif %}
|
| 50 |
+
{%- endif %}
|
| 51 |
+
{%- endfor %}
|
| 52 |
+
{%- if add_generation_prompt %}
|
| 53 |
+
{{- '<|im_start|>assistant\n' }}
|
| 54 |
+
{%- endif %}
|
cpt_qwen_14B/checkpoints/checkpoint-100/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7210a9536a1373d78b688acc34126df7e1e110a1466aba22b339760271bbd078
|
| 3 |
+
size 102698471
|
cpt_qwen_14B/checkpoints/checkpoint-100/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7f9c723f3b3ec93075e4df80d4b9fca594bf5084eeca69dfc4bee734176b2011
|
| 3 |
+
size 14645
|
cpt_qwen_14B/checkpoints/checkpoint-100/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:da9afcff37b2d4b9e726256840193d30b8c1205dbf5b286ebb18b671682f2424
|
| 3 |
+
size 1465
|
cpt_qwen_14B/checkpoints/checkpoint-100/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3fd169731d2cbde95e10bf356d66d5997fd885dd8dbb6fb4684da3f23b2585d8
|
| 3 |
+
size 11421892
|
cpt_qwen_14B/checkpoints/checkpoint-100/tokenizer_config.json
ADDED
|
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"backend": "tokenizers",
|
| 4 |
+
"bos_token": null,
|
| 5 |
+
"clean_up_tokenization_spaces": false,
|
| 6 |
+
"eos_token": "<|endoftext|>",
|
| 7 |
+
"errors": "replace",
|
| 8 |
+
"extra_special_tokens": [
|
| 9 |
+
"<|im_start|>",
|
| 10 |
+
"<|im_end|>",
|
| 11 |
+
"<|object_ref_start|>",
|
| 12 |
+
"<|object_ref_end|>",
|
| 13 |
+
"<|box_start|>",
|
| 14 |
+
"<|box_end|>",
|
| 15 |
+
"<|quad_start|>",
|
| 16 |
+
"<|quad_end|>",
|
| 17 |
+
"<|vision_start|>",
|
| 18 |
+
"<|vision_end|>",
|
| 19 |
+
"<|vision_pad|>",
|
| 20 |
+
"<|image_pad|>",
|
| 21 |
+
"<|video_pad|>"
|
| 22 |
+
],
|
| 23 |
+
"is_local": true,
|
| 24 |
+
"model_max_length": 32768,
|
| 25 |
+
"pad_token": "<|endoftext|>",
|
| 26 |
+
"split_special_tokens": false,
|
| 27 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 28 |
+
"unk_token": null
|
| 29 |
+
}
|
cpt_qwen_14B/checkpoints/checkpoint-100/trainer_state.json
ADDED
|
@@ -0,0 +1,750 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": 100,
|
| 3 |
+
"best_metric": 0.884428083896637,
|
| 4 |
+
"best_model_checkpoint": "runs/cpt_run_14b/checkpoints/checkpoint-100",
|
| 5 |
+
"epoch": 0.30569354222392053,
|
| 6 |
+
"eval_steps": 50,
|
| 7 |
+
"global_step": 100,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.003056935422239205,
|
| 14 |
+
"grad_norm": 0.06516239047050476,
|
| 15 |
+
"learning_rate": 0.0,
|
| 16 |
+
"loss": 1.138384461402893,
|
| 17 |
+
"step": 1
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 0.00611387084447841,
|
| 21 |
+
"grad_norm": 0.05343673378229141,
|
| 22 |
+
"learning_rate": 3.0303030303030305e-07,
|
| 23 |
+
"loss": 0.983342707157135,
|
| 24 |
+
"step": 2
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.009170806266717615,
|
| 28 |
+
"grad_norm": 0.05608418956398964,
|
| 29 |
+
"learning_rate": 6.060606060606061e-07,
|
| 30 |
+
"loss": 1.0762118101119995,
|
| 31 |
+
"step": 3
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.01222774168895682,
|
| 35 |
+
"grad_norm": 0.06523486226797104,
|
| 36 |
+
"learning_rate": 9.090909090909091e-07,
|
| 37 |
+
"loss": 1.084489345550537,
|
| 38 |
+
"step": 4
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.015284677111196026,
|
| 42 |
+
"grad_norm": 0.06582186371088028,
|
| 43 |
+
"learning_rate": 1.2121212121212122e-06,
|
| 44 |
+
"loss": 1.2037022113800049,
|
| 45 |
+
"step": 5
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.01834161253343523,
|
| 49 |
+
"grad_norm": 0.06097998470067978,
|
| 50 |
+
"learning_rate": 1.5151515151515152e-06,
|
| 51 |
+
"loss": 1.10005784034729,
|
| 52 |
+
"step": 6
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 0.021398547955674436,
|
| 56 |
+
"grad_norm": 0.10365528613328934,
|
| 57 |
+
"learning_rate": 1.8181818181818183e-06,
|
| 58 |
+
"loss": 1.0895193815231323,
|
| 59 |
+
"step": 7
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 0.02445548337791364,
|
| 63 |
+
"grad_norm": 0.06312141567468643,
|
| 64 |
+
"learning_rate": 2.1212121212121216e-06,
|
| 65 |
+
"loss": 1.0593242645263672,
|
| 66 |
+
"step": 8
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.027512418800152847,
|
| 70 |
+
"grad_norm": 0.05508403480052948,
|
| 71 |
+
"learning_rate": 2.4242424242424244e-06,
|
| 72 |
+
"loss": 0.9772955179214478,
|
| 73 |
+
"step": 9
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 0.030569354222392053,
|
| 77 |
+
"grad_norm": 0.06006711348891258,
|
| 78 |
+
"learning_rate": 2.7272727272727272e-06,
|
| 79 |
+
"loss": 1.084238886833191,
|
| 80 |
+
"step": 10
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.033626289644631255,
|
| 84 |
+
"grad_norm": 0.0588749423623085,
|
| 85 |
+
"learning_rate": 3.0303030303030305e-06,
|
| 86 |
+
"loss": 1.0786534547805786,
|
| 87 |
+
"step": 11
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.03668322506687046,
|
| 91 |
+
"grad_norm": 0.046551357954740524,
|
| 92 |
+
"learning_rate": 3.3333333333333333e-06,
|
| 93 |
+
"loss": 1.0370622873306274,
|
| 94 |
+
"step": 12
|
| 95 |
+
},
|
| 96 |
+
{
|
| 97 |
+
"epoch": 0.039740160489109666,
|
| 98 |
+
"grad_norm": 0.061659567058086395,
|
| 99 |
+
"learning_rate": 3.6363636363636366e-06,
|
| 100 |
+
"loss": 1.0646986961364746,
|
| 101 |
+
"step": 13
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 0.04279709591134887,
|
| 105 |
+
"grad_norm": 0.06007347255945206,
|
| 106 |
+
"learning_rate": 3.93939393939394e-06,
|
| 107 |
+
"loss": 1.0311307907104492,
|
| 108 |
+
"step": 14
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"epoch": 0.04585403133358808,
|
| 112 |
+
"grad_norm": 0.07314135134220123,
|
| 113 |
+
"learning_rate": 4.242424242424243e-06,
|
| 114 |
+
"loss": 1.1300500631332397,
|
| 115 |
+
"step": 15
|
| 116 |
+
},
|
| 117 |
+
{
|
| 118 |
+
"epoch": 0.04891096675582728,
|
| 119 |
+
"grad_norm": 0.060934022068977356,
|
| 120 |
+
"learning_rate": 4.5454545454545455e-06,
|
| 121 |
+
"loss": 1.0197452306747437,
|
| 122 |
+
"step": 16
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 0.05196790217806649,
|
| 126 |
+
"grad_norm": 0.056856051087379456,
|
| 127 |
+
"learning_rate": 4.848484848484849e-06,
|
| 128 |
+
"loss": 1.0438549518585205,
|
| 129 |
+
"step": 17
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.055024837600305694,
|
| 133 |
+
"grad_norm": 0.05908689647912979,
|
| 134 |
+
"learning_rate": 5.151515151515152e-06,
|
| 135 |
+
"loss": 1.0398856401443481,
|
| 136 |
+
"step": 18
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"epoch": 0.0580817730225449,
|
| 140 |
+
"grad_norm": 0.07411840558052063,
|
| 141 |
+
"learning_rate": 5.4545454545454545e-06,
|
| 142 |
+
"loss": 1.107885479927063,
|
| 143 |
+
"step": 19
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 0.061138708444784105,
|
| 147 |
+
"grad_norm": 0.0749165341258049,
|
| 148 |
+
"learning_rate": 5.7575757575757586e-06,
|
| 149 |
+
"loss": 1.1060967445373535,
|
| 150 |
+
"step": 20
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"epoch": 0.06419564386702331,
|
| 154 |
+
"grad_norm": 0.06720177084207535,
|
| 155 |
+
"learning_rate": 6.060606060606061e-06,
|
| 156 |
+
"loss": 1.0471720695495605,
|
| 157 |
+
"step": 21
|
| 158 |
+
},
|
| 159 |
+
{
|
| 160 |
+
"epoch": 0.06725257928926251,
|
| 161 |
+
"grad_norm": 0.05990725755691528,
|
| 162 |
+
"learning_rate": 6.363636363636364e-06,
|
| 163 |
+
"loss": 1.0944981575012207,
|
| 164 |
+
"step": 22
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 0.07030951471150172,
|
| 168 |
+
"grad_norm": 0.06672193855047226,
|
| 169 |
+
"learning_rate": 6.666666666666667e-06,
|
| 170 |
+
"loss": 1.1477092504501343,
|
| 171 |
+
"step": 23
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 0.07336645013374092,
|
| 175 |
+
"grad_norm": 0.06145205348730087,
|
| 176 |
+
"learning_rate": 6.969696969696971e-06,
|
| 177 |
+
"loss": 1.0591784715652466,
|
| 178 |
+
"step": 24
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"epoch": 0.07642338555598013,
|
| 182 |
+
"grad_norm": 0.0757482647895813,
|
| 183 |
+
"learning_rate": 7.272727272727273e-06,
|
| 184 |
+
"loss": 1.0500165224075317,
|
| 185 |
+
"step": 25
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 0.07948032097821933,
|
| 189 |
+
"grad_norm": 0.07848478108644485,
|
| 190 |
+
"learning_rate": 7.5757575757575764e-06,
|
| 191 |
+
"loss": 1.0747522115707397,
|
| 192 |
+
"step": 26
|
| 193 |
+
},
|
| 194 |
+
{
|
| 195 |
+
"epoch": 0.08253725640045854,
|
| 196 |
+
"grad_norm": 0.07740631699562073,
|
| 197 |
+
"learning_rate": 7.87878787878788e-06,
|
| 198 |
+
"loss": 1.132310152053833,
|
| 199 |
+
"step": 27
|
| 200 |
+
},
|
| 201 |
+
{
|
| 202 |
+
"epoch": 0.08559419182269774,
|
| 203 |
+
"grad_norm": 0.07476603239774704,
|
| 204 |
+
"learning_rate": 8.181818181818183e-06,
|
| 205 |
+
"loss": 1.0339502096176147,
|
| 206 |
+
"step": 28
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 0.08865112724493696,
|
| 210 |
+
"grad_norm": 0.0779196098446846,
|
| 211 |
+
"learning_rate": 8.484848484848486e-06,
|
| 212 |
+
"loss": 1.1047282218933105,
|
| 213 |
+
"step": 29
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"epoch": 0.09170806266717615,
|
| 217 |
+
"grad_norm": 0.06962384283542633,
|
| 218 |
+
"learning_rate": 8.787878787878788e-06,
|
| 219 |
+
"loss": 1.004916787147522,
|
| 220 |
+
"step": 30
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"epoch": 0.09476499808941537,
|
| 224 |
+
"grad_norm": 0.06369175016880035,
|
| 225 |
+
"learning_rate": 9.090909090909091e-06,
|
| 226 |
+
"loss": 0.9296417832374573,
|
| 227 |
+
"step": 31
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 0.09782193351165457,
|
| 231 |
+
"grad_norm": 0.07470260560512543,
|
| 232 |
+
"learning_rate": 9.393939393939396e-06,
|
| 233 |
+
"loss": 1.0721708536148071,
|
| 234 |
+
"step": 32
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 0.10087886893389378,
|
| 238 |
+
"grad_norm": 0.07948213815689087,
|
| 239 |
+
"learning_rate": 9.696969696969698e-06,
|
| 240 |
+
"loss": 1.0350117683410645,
|
| 241 |
+
"step": 33
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"epoch": 0.10393580435613298,
|
| 245 |
+
"grad_norm": 0.07066022604703903,
|
| 246 |
+
"learning_rate": 1e-05,
|
| 247 |
+
"loss": 1.026305913925171,
|
| 248 |
+
"step": 34
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 0.10699273977837218,
|
| 252 |
+
"grad_norm": 0.07774543762207031,
|
| 253 |
+
"learning_rate": 1.0303030303030304e-05,
|
| 254 |
+
"loss": 1.0509816408157349,
|
| 255 |
+
"step": 35
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 0.11004967520061139,
|
| 259 |
+
"grad_norm": 0.07501248270273209,
|
| 260 |
+
"learning_rate": 1.0606060606060606e-05,
|
| 261 |
+
"loss": 1.0011574029922485,
|
| 262 |
+
"step": 36
|
| 263 |
+
},
|
| 264 |
+
{
|
| 265 |
+
"epoch": 0.11310661062285059,
|
| 266 |
+
"grad_norm": 0.6622501611709595,
|
| 267 |
+
"learning_rate": 1.0909090909090909e-05,
|
| 268 |
+
"loss": 0.9754424691200256,
|
| 269 |
+
"step": 37
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 0.1161635460450898,
|
| 273 |
+
"grad_norm": 0.07566080242395401,
|
| 274 |
+
"learning_rate": 1.1212121212121212e-05,
|
| 275 |
+
"loss": 1.0342774391174316,
|
| 276 |
+
"step": 38
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 0.119220481467329,
|
| 280 |
+
"grad_norm": 0.07573831081390381,
|
| 281 |
+
"learning_rate": 1.1515151515151517e-05,
|
| 282 |
+
"loss": 0.9714518785476685,
|
| 283 |
+
"step": 39
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"epoch": 0.12227741688956821,
|
| 287 |
+
"grad_norm": 0.08083852380514145,
|
| 288 |
+
"learning_rate": 1.181818181818182e-05,
|
| 289 |
+
"loss": 1.1050316095352173,
|
| 290 |
+
"step": 40
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 0.12533435231180742,
|
| 294 |
+
"grad_norm": 0.08540588617324829,
|
| 295 |
+
"learning_rate": 1.2121212121212122e-05,
|
| 296 |
+
"loss": 1.0871070623397827,
|
| 297 |
+
"step": 41
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 0.12839128773404662,
|
| 301 |
+
"grad_norm": 0.07391592115163803,
|
| 302 |
+
"learning_rate": 1.2424242424242425e-05,
|
| 303 |
+
"loss": 1.0206722021102905,
|
| 304 |
+
"step": 42
|
| 305 |
+
},
|
| 306 |
+
{
|
| 307 |
+
"epoch": 0.13144822315628582,
|
| 308 |
+
"grad_norm": 0.07063689082860947,
|
| 309 |
+
"learning_rate": 1.2727272727272728e-05,
|
| 310 |
+
"loss": 0.9775047898292542,
|
| 311 |
+
"step": 43
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"epoch": 0.13450515857852502,
|
| 315 |
+
"grad_norm": 0.07288888841867447,
|
| 316 |
+
"learning_rate": 1.3030303030303032e-05,
|
| 317 |
+
"loss": 1.1132858991622925,
|
| 318 |
+
"step": 44
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 0.13756209400076425,
|
| 322 |
+
"grad_norm": 0.07641777396202087,
|
| 323 |
+
"learning_rate": 1.3333333333333333e-05,
|
| 324 |
+
"loss": 1.0707701444625854,
|
| 325 |
+
"step": 45
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"epoch": 0.14061902942300344,
|
| 329 |
+
"grad_norm": 0.06990326195955276,
|
| 330 |
+
"learning_rate": 1.3636363636363637e-05,
|
| 331 |
+
"loss": 0.9328265190124512,
|
| 332 |
+
"step": 46
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 0.14367596484524264,
|
| 336 |
+
"grad_norm": 0.0834241658449173,
|
| 337 |
+
"learning_rate": 1.3939393939393942e-05,
|
| 338 |
+
"loss": 1.0131721496582031,
|
| 339 |
+
"step": 47
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 0.14673290026748184,
|
| 343 |
+
"grad_norm": 0.0714937075972557,
|
| 344 |
+
"learning_rate": 1.4242424242424245e-05,
|
| 345 |
+
"loss": 0.940493106842041,
|
| 346 |
+
"step": 48
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 0.14978983568972107,
|
| 350 |
+
"grad_norm": 0.07770547270774841,
|
| 351 |
+
"learning_rate": 1.4545454545454546e-05,
|
| 352 |
+
"loss": 1.0435771942138672,
|
| 353 |
+
"step": 49
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 0.15284677111196027,
|
| 357 |
+
"grad_norm": 0.07950945198535919,
|
| 358 |
+
"learning_rate": 1.484848484848485e-05,
|
| 359 |
+
"loss": 1.0382137298583984,
|
| 360 |
+
"step": 50
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 0.15284677111196027,
|
| 364 |
+
"eval_loss": 1.0129202604293823,
|
| 365 |
+
"eval_runtime": 724.3664,
|
| 366 |
+
"eval_samples_per_second": 0.832,
|
| 367 |
+
"eval_steps_per_second": 0.832,
|
| 368 |
+
"step": 50
|
| 369 |
+
},
|
| 370 |
+
{
|
| 371 |
+
"epoch": 0.15590370653419947,
|
| 372 |
+
"grad_norm": 0.06961936503648758,
|
| 373 |
+
"learning_rate": 1.5151515151515153e-05,
|
| 374 |
+
"loss": 0.9690049886703491,
|
| 375 |
+
"step": 51
|
| 376 |
+
},
|
| 377 |
+
{
|
| 378 |
+
"epoch": 0.15896064195643866,
|
| 379 |
+
"grad_norm": 0.069523885846138,
|
| 380 |
+
"learning_rate": 1.5454545454545454e-05,
|
| 381 |
+
"loss": 0.9830482006072998,
|
| 382 |
+
"step": 52
|
| 383 |
+
},
|
| 384 |
+
{
|
| 385 |
+
"epoch": 0.16201757737867786,
|
| 386 |
+
"grad_norm": 0.0764622762799263,
|
| 387 |
+
"learning_rate": 1.575757575757576e-05,
|
| 388 |
+
"loss": 1.0895472764968872,
|
| 389 |
+
"step": 53
|
| 390 |
+
},
|
| 391 |
+
{
|
| 392 |
+
"epoch": 0.1650745128009171,
|
| 393 |
+
"grad_norm": 0.1413721889257431,
|
| 394 |
+
"learning_rate": 1.606060606060606e-05,
|
| 395 |
+
"loss": 1.0354574918746948,
|
| 396 |
+
"step": 54
|
| 397 |
+
},
|
| 398 |
+
{
|
| 399 |
+
"epoch": 0.1681314482231563,
|
| 400 |
+
"grad_norm": 0.06818042695522308,
|
| 401 |
+
"learning_rate": 1.6363636363636366e-05,
|
| 402 |
+
"loss": 0.8534265160560608,
|
| 403 |
+
"step": 55
|
| 404 |
+
},
|
| 405 |
+
{
|
| 406 |
+
"epoch": 0.1711883836453955,
|
| 407 |
+
"grad_norm": 0.0722246989607811,
|
| 408 |
+
"learning_rate": 1.6666666666666667e-05,
|
| 409 |
+
"loss": 0.9580274820327759,
|
| 410 |
+
"step": 56
|
| 411 |
+
},
|
| 412 |
+
{
|
| 413 |
+
"epoch": 0.17424531906763469,
|
| 414 |
+
"grad_norm": 0.07113443315029144,
|
| 415 |
+
"learning_rate": 1.6969696969696972e-05,
|
| 416 |
+
"loss": 1.0721848011016846,
|
| 417 |
+
"step": 57
|
| 418 |
+
},
|
| 419 |
+
{
|
| 420 |
+
"epoch": 0.1773022544898739,
|
| 421 |
+
"grad_norm": 0.08412107080221176,
|
| 422 |
+
"learning_rate": 1.7272727272727274e-05,
|
| 423 |
+
"loss": 1.1180150508880615,
|
| 424 |
+
"step": 58
|
| 425 |
+
},
|
| 426 |
+
{
|
| 427 |
+
"epoch": 0.1803591899121131,
|
| 428 |
+
"grad_norm": 0.07381036877632141,
|
| 429 |
+
"learning_rate": 1.7575757575757576e-05,
|
| 430 |
+
"loss": 1.0384547710418701,
|
| 431 |
+
"step": 59
|
| 432 |
+
},
|
| 433 |
+
{
|
| 434 |
+
"epoch": 0.1834161253343523,
|
| 435 |
+
"grad_norm": 0.07089001685380936,
|
| 436 |
+
"learning_rate": 1.787878787878788e-05,
|
| 437 |
+
"loss": 1.0446016788482666,
|
| 438 |
+
"step": 60
|
| 439 |
+
},
|
| 440 |
+
{
|
| 441 |
+
"epoch": 0.1864730607565915,
|
| 442 |
+
"grad_norm": 0.11576953530311584,
|
| 443 |
+
"learning_rate": 1.8181818181818182e-05,
|
| 444 |
+
"loss": 1.0015051364898682,
|
| 445 |
+
"step": 61
|
| 446 |
+
},
|
| 447 |
+
{
|
| 448 |
+
"epoch": 0.18952999617883073,
|
| 449 |
+
"grad_norm": 0.08030868321657181,
|
| 450 |
+
"learning_rate": 1.8484848484848487e-05,
|
| 451 |
+
"loss": 0.9642710089683533,
|
| 452 |
+
"step": 62
|
| 453 |
+
},
|
| 454 |
+
{
|
| 455 |
+
"epoch": 0.19258693160106993,
|
| 456 |
+
"grad_norm": 0.08332342654466629,
|
| 457 |
+
"learning_rate": 1.8787878787878792e-05,
|
| 458 |
+
"loss": 1.0722991228103638,
|
| 459 |
+
"step": 63
|
| 460 |
+
},
|
| 461 |
+
{
|
| 462 |
+
"epoch": 0.19564386702330913,
|
| 463 |
+
"grad_norm": 0.08000365644693375,
|
| 464 |
+
"learning_rate": 1.9090909090909094e-05,
|
| 465 |
+
"loss": 1.0104647874832153,
|
| 466 |
+
"step": 64
|
| 467 |
+
},
|
| 468 |
+
{
|
| 469 |
+
"epoch": 0.19870080244554833,
|
| 470 |
+
"grad_norm": 0.08139508217573166,
|
| 471 |
+
"learning_rate": 1.9393939393939395e-05,
|
| 472 |
+
"loss": 0.9445061087608337,
|
| 473 |
+
"step": 65
|
| 474 |
+
},
|
| 475 |
+
{
|
| 476 |
+
"epoch": 0.20175773786778756,
|
| 477 |
+
"grad_norm": 0.08749893307685852,
|
| 478 |
+
"learning_rate": 1.96969696969697e-05,
|
| 479 |
+
"loss": 1.080810308456421,
|
| 480 |
+
"step": 66
|
| 481 |
+
},
|
| 482 |
+
{
|
| 483 |
+
"epoch": 0.20481467329002676,
|
| 484 |
+
"grad_norm": 0.0786912813782692,
|
| 485 |
+
"learning_rate": 2e-05,
|
| 486 |
+
"loss": 0.9705753922462463,
|
| 487 |
+
"step": 67
|
| 488 |
+
},
|
| 489 |
+
{
|
| 490 |
+
"epoch": 0.20787160871226595,
|
| 491 |
+
"grad_norm": 0.08962028473615646,
|
| 492 |
+
"learning_rate": 1.9999858236410775e-05,
|
| 493 |
+
"loss": 0.962783694267273,
|
| 494 |
+
"step": 68
|
| 495 |
+
},
|
| 496 |
+
{
|
| 497 |
+
"epoch": 0.21092854413450515,
|
| 498 |
+
"grad_norm": 0.08402887731790543,
|
| 499 |
+
"learning_rate": 1.9999432949662483e-05,
|
| 500 |
+
"loss": 0.9959614872932434,
|
| 501 |
+
"step": 69
|
| 502 |
+
},
|
| 503 |
+
{
|
| 504 |
+
"epoch": 0.21398547955674435,
|
| 505 |
+
"grad_norm": 0.08036444336175919,
|
| 506 |
+
"learning_rate": 1.9998724151813157e-05,
|
| 507 |
+
"loss": 0.9569960832595825,
|
| 508 |
+
"step": 70
|
| 509 |
+
},
|
| 510 |
+
{
|
| 511 |
+
"epoch": 0.21704241497898358,
|
| 512 |
+
"grad_norm": 0.08247046917676926,
|
| 513 |
+
"learning_rate": 1.9997731862959143e-05,
|
| 514 |
+
"loss": 1.0012171268463135,
|
| 515 |
+
"step": 71
|
| 516 |
+
},
|
| 517 |
+
{
|
| 518 |
+
"epoch": 0.22009935040122278,
|
| 519 |
+
"grad_norm": 0.08966264873743057,
|
| 520 |
+
"learning_rate": 1.999645611123453e-05,
|
| 521 |
+
"loss": 1.0403809547424316,
|
| 522 |
+
"step": 72
|
| 523 |
+
},
|
| 524 |
+
{
|
| 525 |
+
"epoch": 0.22315628582346198,
|
| 526 |
+
"grad_norm": 0.08061660826206207,
|
| 527 |
+
"learning_rate": 1.999489693281034e-05,
|
| 528 |
+
"loss": 1.0089740753173828,
|
| 529 |
+
"step": 73
|
| 530 |
+
},
|
| 531 |
+
{
|
| 532 |
+
"epoch": 0.22621322124570117,
|
| 533 |
+
"grad_norm": 0.09005365520715714,
|
| 534 |
+
"learning_rate": 1.9993054371893526e-05,
|
| 535 |
+
"loss": 0.9333044290542603,
|
| 536 |
+
"step": 74
|
| 537 |
+
},
|
| 538 |
+
{
|
| 539 |
+
"epoch": 0.2292701566679404,
|
| 540 |
+
"grad_norm": 0.08651519566774368,
|
| 541 |
+
"learning_rate": 1.9990928480725694e-05,
|
| 542 |
+
"loss": 0.9284015893936157,
|
| 543 |
+
"step": 75
|
| 544 |
+
},
|
| 545 |
+
{
|
| 546 |
+
"epoch": 0.2323270920901796,
|
| 547 |
+
"grad_norm": 0.08141147345304489,
|
| 548 |
+
"learning_rate": 1.9988519319581637e-05,
|
| 549 |
+
"loss": 0.9782730340957642,
|
| 550 |
+
"step": 76
|
| 551 |
+
},
|
| 552 |
+
{
|
| 553 |
+
"epoch": 0.2353840275124188,
|
| 554 |
+
"grad_norm": 0.08344405144453049,
|
| 555 |
+
"learning_rate": 1.998582695676762e-05,
|
| 556 |
+
"loss": 0.9723064303398132,
|
| 557 |
+
"step": 77
|
| 558 |
+
},
|
| 559 |
+
{
|
| 560 |
+
"epoch": 0.238440962934658,
|
| 561 |
+
"grad_norm": 0.08019903302192688,
|
| 562 |
+
"learning_rate": 1.998285146861945e-05,
|
| 563 |
+
"loss": 0.9648997783660889,
|
| 564 |
+
"step": 78
|
| 565 |
+
},
|
| 566 |
+
{
|
| 567 |
+
"epoch": 0.24149789835689722,
|
| 568 |
+
"grad_norm": 0.08113416284322739,
|
| 569 |
+
"learning_rate": 1.99795929395003e-05,
|
| 570 |
+
"loss": 0.9263214468955994,
|
| 571 |
+
"step": 79
|
| 572 |
+
},
|
| 573 |
+
{
|
| 574 |
+
"epoch": 0.24455483377913642,
|
| 575 |
+
"grad_norm": 0.08127513527870178,
|
| 576 |
+
"learning_rate": 1.997605146179833e-05,
|
| 577 |
+
"loss": 0.8745232224464417,
|
| 578 |
+
"step": 80
|
| 579 |
+
},
|
| 580 |
+
{
|
| 581 |
+
"epoch": 0.24761176920137562,
|
| 582 |
+
"grad_norm": 0.09934187680482864,
|
| 583 |
+
"learning_rate": 1.997222713592405e-05,
|
| 584 |
+
"loss": 0.8722782135009766,
|
| 585 |
+
"step": 81
|
| 586 |
+
},
|
| 587 |
+
{
|
| 588 |
+
"epoch": 0.25066870462361485,
|
| 589 |
+
"grad_norm": 0.09701363742351532,
|
| 590 |
+
"learning_rate": 1.9968120070307503e-05,
|
| 591 |
+
"loss": 1.0084266662597656,
|
| 592 |
+
"step": 82
|
| 593 |
+
},
|
| 594 |
+
{
|
| 595 |
+
"epoch": 0.253725640045854,
|
| 596 |
+
"grad_norm": 0.08335654437541962,
|
| 597 |
+
"learning_rate": 1.9963730381395154e-05,
|
| 598 |
+
"loss": 0.9239332675933838,
|
| 599 |
+
"step": 83
|
| 600 |
+
},
|
| 601 |
+
{
|
| 602 |
+
"epoch": 0.25678257546809324,
|
| 603 |
+
"grad_norm": 0.09161650389432907,
|
| 604 |
+
"learning_rate": 1.9959058193646618e-05,
|
| 605 |
+
"loss": 0.9878032207489014,
|
| 606 |
+
"step": 84
|
| 607 |
+
},
|
| 608 |
+
{
|
| 609 |
+
"epoch": 0.2598395108903324,
|
| 610 |
+
"grad_norm": 0.08067663013935089,
|
| 611 |
+
"learning_rate": 1.9954103639531116e-05,
|
| 612 |
+
"loss": 0.9113098382949829,
|
| 613 |
+
"step": 85
|
| 614 |
+
},
|
| 615 |
+
{
|
| 616 |
+
"epoch": 0.26289644631257164,
|
| 617 |
+
"grad_norm": 0.09619539976119995,
|
| 618 |
+
"learning_rate": 1.9948866859523717e-05,
|
| 619 |
+
"loss": 0.9527600407600403,
|
| 620 |
+
"step": 86
|
| 621 |
+
},
|
| 622 |
+
{
|
| 623 |
+
"epoch": 0.26595338173481087,
|
| 624 |
+
"grad_norm": 0.10015493631362915,
|
| 625 |
+
"learning_rate": 1.9943348002101374e-05,
|
| 626 |
+
"loss": 0.9569152593612671,
|
| 627 |
+
"step": 87
|
| 628 |
+
},
|
| 629 |
+
{
|
| 630 |
+
"epoch": 0.26901031715705004,
|
| 631 |
+
"grad_norm": 0.09012345969676971,
|
| 632 |
+
"learning_rate": 1.993754722373869e-05,
|
| 633 |
+
"loss": 0.8912045359611511,
|
| 634 |
+
"step": 88
|
| 635 |
+
},
|
| 636 |
+
{
|
| 637 |
+
"epoch": 0.27206725257928926,
|
| 638 |
+
"grad_norm": 0.10342805832624435,
|
| 639 |
+
"learning_rate": 1.9931464688903502e-05,
|
| 640 |
+
"loss": 0.856104850769043,
|
| 641 |
+
"step": 89
|
| 642 |
+
},
|
| 643 |
+
{
|
| 644 |
+
"epoch": 0.2751241880015285,
|
| 645 |
+
"grad_norm": 0.10218493640422821,
|
| 646 |
+
"learning_rate": 1.9925100570052194e-05,
|
| 647 |
+
"loss": 0.9631397128105164,
|
| 648 |
+
"step": 90
|
| 649 |
+
},
|
| 650 |
+
{
|
| 651 |
+
"epoch": 0.27818112342376766,
|
| 652 |
+
"grad_norm": 0.10909046977758408,
|
| 653 |
+
"learning_rate": 1.9918455047624847e-05,
|
| 654 |
+
"loss": 0.8532565236091614,
|
| 655 |
+
"step": 91
|
| 656 |
+
},
|
| 657 |
+
{
|
| 658 |
+
"epoch": 0.2812380588460069,
|
| 659 |
+
"grad_norm": 0.10714197903871536,
|
| 660 |
+
"learning_rate": 1.9911528310040073e-05,
|
| 661 |
+
"loss": 0.9691859483718872,
|
| 662 |
+
"step": 92
|
| 663 |
+
},
|
| 664 |
+
{
|
| 665 |
+
"epoch": 0.28429499426824606,
|
| 666 |
+
"grad_norm": 0.1108694076538086,
|
| 667 |
+
"learning_rate": 1.990432055368971e-05,
|
| 668 |
+
"loss": 0.9374334812164307,
|
| 669 |
+
"step": 93
|
| 670 |
+
},
|
| 671 |
+
{
|
| 672 |
+
"epoch": 0.2873519296904853,
|
| 673 |
+
"grad_norm": 0.10037308186292648,
|
| 674 |
+
"learning_rate": 1.989683198293324e-05,
|
| 675 |
+
"loss": 0.9166896343231201,
|
| 676 |
+
"step": 94
|
| 677 |
+
},
|
| 678 |
+
{
|
| 679 |
+
"epoch": 0.2904088651127245,
|
| 680 |
+
"grad_norm": 0.10246684402227402,
|
| 681 |
+
"learning_rate": 1.9889062810092002e-05,
|
| 682 |
+
"loss": 1.0059239864349365,
|
| 683 |
+
"step": 95
|
| 684 |
+
},
|
| 685 |
+
{
|
| 686 |
+
"epoch": 0.2934658005349637,
|
| 687 |
+
"grad_norm": 0.09954962879419327,
|
| 688 |
+
"learning_rate": 1.9881013255443152e-05,
|
| 689 |
+
"loss": 1.00413179397583,
|
| 690 |
+
"step": 96
|
| 691 |
+
},
|
| 692 |
+
{
|
| 693 |
+
"epoch": 0.2965227359572029,
|
| 694 |
+
"grad_norm": 0.11006761342287064,
|
| 695 |
+
"learning_rate": 1.9872683547213446e-05,
|
| 696 |
+
"loss": 0.9414035677909851,
|
| 697 |
+
"step": 97
|
| 698 |
+
},
|
| 699 |
+
{
|
| 700 |
+
"epoch": 0.29957967137944214,
|
| 701 |
+
"grad_norm": 0.1014382541179657,
|
| 702 |
+
"learning_rate": 1.9864073921572756e-05,
|
| 703 |
+
"loss": 0.9155468940734863,
|
| 704 |
+
"step": 98
|
| 705 |
+
},
|
| 706 |
+
{
|
| 707 |
+
"epoch": 0.3026366068016813,
|
| 708 |
+
"grad_norm": 0.09883157908916473,
|
| 709 |
+
"learning_rate": 1.9855184622627362e-05,
|
| 710 |
+
"loss": 0.9429305195808411,
|
| 711 |
+
"step": 99
|
| 712 |
+
},
|
| 713 |
+
{
|
| 714 |
+
"epoch": 0.30569354222392053,
|
| 715 |
+
"grad_norm": 0.11199072748422623,
|
| 716 |
+
"learning_rate": 1.9846015902413053e-05,
|
| 717 |
+
"loss": 0.9143528342247009,
|
| 718 |
+
"step": 100
|
| 719 |
+
},
|
| 720 |
+
{
|
| 721 |
+
"epoch": 0.30569354222392053,
|
| 722 |
+
"eval_loss": 0.884428083896637,
|
| 723 |
+
"eval_runtime": 723.8143,
|
| 724 |
+
"eval_samples_per_second": 0.833,
|
| 725 |
+
"eval_steps_per_second": 0.833,
|
| 726 |
+
"step": 100
|
| 727 |
+
}
|
| 728 |
+
],
|
| 729 |
+
"logging_steps": 1,
|
| 730 |
+
"max_steps": 656,
|
| 731 |
+
"num_input_tokens_seen": 0,
|
| 732 |
+
"num_train_epochs": 2,
|
| 733 |
+
"save_steps": 100,
|
| 734 |
+
"stateful_callbacks": {
|
| 735 |
+
"TrainerControl": {
|
| 736 |
+
"args": {
|
| 737 |
+
"should_epoch_stop": false,
|
| 738 |
+
"should_evaluate": false,
|
| 739 |
+
"should_log": false,
|
| 740 |
+
"should_save": true,
|
| 741 |
+
"should_training_stop": false
|
| 742 |
+
},
|
| 743 |
+
"attributes": {}
|
| 744 |
+
}
|
| 745 |
+
},
|
| 746 |
+
"total_flos": 5.521459497664512e+17,
|
| 747 |
+
"train_batch_size": 1,
|
| 748 |
+
"trial_name": null,
|
| 749 |
+
"trial_params": null
|
| 750 |
+
}
|
cpt_qwen_14B/checkpoints/checkpoint-100/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d6a8e308e47eb936f678712445b19ddc52638f354c37c813ecaa432f69120a2e
|
| 3 |
+
size 5201
|
cpt_qwen_14B/checkpoints/checkpoint-200/README.md
ADDED
|
@@ -0,0 +1,207 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: /workspace/Models/Qwen2.5-Coder-14B
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:/workspace/Models/Qwen2.5-Coder-14B
|
| 7 |
+
- lora
|
| 8 |
+
- transformers
|
| 9 |
+
---
|
| 10 |
+
|
| 11 |
+
# Model Card for Model ID
|
| 12 |
+
|
| 13 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 14 |
+
|
| 15 |
+
|
| 16 |
+
|
| 17 |
+
## Model Details
|
| 18 |
+
|
| 19 |
+
### Model Description
|
| 20 |
+
|
| 21 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 22 |
+
|
| 23 |
+
|
| 24 |
+
|
| 25 |
+
- **Developed by:** [More Information Needed]
|
| 26 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 27 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 28 |
+
- **Model type:** [More Information Needed]
|
| 29 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 30 |
+
- **License:** [More Information Needed]
|
| 31 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 32 |
+
|
| 33 |
+
### Model Sources [optional]
|
| 34 |
+
|
| 35 |
+
<!-- Provide the basic links for the model. -->
|
| 36 |
+
|
| 37 |
+
- **Repository:** [More Information Needed]
|
| 38 |
+
- **Paper [optional]:** [More Information Needed]
|
| 39 |
+
- **Demo [optional]:** [More Information Needed]
|
| 40 |
+
|
| 41 |
+
## Uses
|
| 42 |
+
|
| 43 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 44 |
+
|
| 45 |
+
### Direct Use
|
| 46 |
+
|
| 47 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 48 |
+
|
| 49 |
+
[More Information Needed]
|
| 50 |
+
|
| 51 |
+
### Downstream Use [optional]
|
| 52 |
+
|
| 53 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 54 |
+
|
| 55 |
+
[More Information Needed]
|
| 56 |
+
|
| 57 |
+
### Out-of-Scope Use
|
| 58 |
+
|
| 59 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 60 |
+
|
| 61 |
+
[More Information Needed]
|
| 62 |
+
|
| 63 |
+
## Bias, Risks, and Limitations
|
| 64 |
+
|
| 65 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 66 |
+
|
| 67 |
+
[More Information Needed]
|
| 68 |
+
|
| 69 |
+
### Recommendations
|
| 70 |
+
|
| 71 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 72 |
+
|
| 73 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 74 |
+
|
| 75 |
+
## How to Get Started with the Model
|
| 76 |
+
|
| 77 |
+
Use the code below to get started with the model.
|
| 78 |
+
|
| 79 |
+
[More Information Needed]
|
| 80 |
+
|
| 81 |
+
## Training Details
|
| 82 |
+
|
| 83 |
+
### Training Data
|
| 84 |
+
|
| 85 |
+
<!-- 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. -->
|
| 86 |
+
|
| 87 |
+
[More Information Needed]
|
| 88 |
+
|
| 89 |
+
### Training Procedure
|
| 90 |
+
|
| 91 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 92 |
+
|
| 93 |
+
#### Preprocessing [optional]
|
| 94 |
+
|
| 95 |
+
[More Information Needed]
|
| 96 |
+
|
| 97 |
+
|
| 98 |
+
#### Training Hyperparameters
|
| 99 |
+
|
| 100 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 101 |
+
|
| 102 |
+
#### Speeds, Sizes, Times [optional]
|
| 103 |
+
|
| 104 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 105 |
+
|
| 106 |
+
[More Information Needed]
|
| 107 |
+
|
| 108 |
+
## Evaluation
|
| 109 |
+
|
| 110 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 111 |
+
|
| 112 |
+
### Testing Data, Factors & Metrics
|
| 113 |
+
|
| 114 |
+
#### Testing Data
|
| 115 |
+
|
| 116 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 117 |
+
|
| 118 |
+
[More Information Needed]
|
| 119 |
+
|
| 120 |
+
#### Factors
|
| 121 |
+
|
| 122 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 123 |
+
|
| 124 |
+
[More Information Needed]
|
| 125 |
+
|
| 126 |
+
#### Metrics
|
| 127 |
+
|
| 128 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 129 |
+
|
| 130 |
+
[More Information Needed]
|
| 131 |
+
|
| 132 |
+
### Results
|
| 133 |
+
|
| 134 |
+
[More Information Needed]
|
| 135 |
+
|
| 136 |
+
#### Summary
|
| 137 |
+
|
| 138 |
+
|
| 139 |
+
|
| 140 |
+
## Model Examination [optional]
|
| 141 |
+
|
| 142 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 143 |
+
|
| 144 |
+
[More Information Needed]
|
| 145 |
+
|
| 146 |
+
## Environmental Impact
|
| 147 |
+
|
| 148 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 149 |
+
|
| 150 |
+
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).
|
| 151 |
+
|
| 152 |
+
- **Hardware Type:** [More Information Needed]
|
| 153 |
+
- **Hours used:** [More Information Needed]
|
| 154 |
+
- **Cloud Provider:** [More Information Needed]
|
| 155 |
+
- **Compute Region:** [More Information Needed]
|
| 156 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 157 |
+
|
| 158 |
+
## Technical Specifications [optional]
|
| 159 |
+
|
| 160 |
+
### Model Architecture and Objective
|
| 161 |
+
|
| 162 |
+
[More Information Needed]
|
| 163 |
+
|
| 164 |
+
### Compute Infrastructure
|
| 165 |
+
|
| 166 |
+
[More Information Needed]
|
| 167 |
+
|
| 168 |
+
#### Hardware
|
| 169 |
+
|
| 170 |
+
[More Information Needed]
|
| 171 |
+
|
| 172 |
+
#### Software
|
| 173 |
+
|
| 174 |
+
[More Information Needed]
|
| 175 |
+
|
| 176 |
+
## Citation [optional]
|
| 177 |
+
|
| 178 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 179 |
+
|
| 180 |
+
**BibTeX:**
|
| 181 |
+
|
| 182 |
+
[More Information Needed]
|
| 183 |
+
|
| 184 |
+
**APA:**
|
| 185 |
+
|
| 186 |
+
[More Information Needed]
|
| 187 |
+
|
| 188 |
+
## Glossary [optional]
|
| 189 |
+
|
| 190 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 191 |
+
|
| 192 |
+
[More Information Needed]
|
| 193 |
+
|
| 194 |
+
## More Information [optional]
|
| 195 |
+
|
| 196 |
+
[More Information Needed]
|
| 197 |
+
|
| 198 |
+
## Model Card Authors [optional]
|
| 199 |
+
|
| 200 |
+
[More Information Needed]
|
| 201 |
+
|
| 202 |
+
## Model Card Contact
|
| 203 |
+
|
| 204 |
+
[More Information Needed]
|
| 205 |
+
### Framework versions
|
| 206 |
+
|
| 207 |
+
- PEFT 0.18.0
|
cpt_qwen_14B/checkpoints/checkpoint-200/adapter_config.json
ADDED
|
@@ -0,0 +1,43 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
+
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "/workspace/Models/Qwen2.5-Coder-14B",
|
| 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": 64,
|
| 20 |
+
"lora_bias": false,
|
| 21 |
+
"lora_dropout": 0.05,
|
| 22 |
+
"megatron_config": null,
|
| 23 |
+
"megatron_core": "megatron.core",
|
| 24 |
+
"modules_to_save": null,
|
| 25 |
+
"peft_type": "LORA",
|
| 26 |
+
"peft_version": "0.18.0",
|
| 27 |
+
"qalora_group_size": 16,
|
| 28 |
+
"r": 32,
|
| 29 |
+
"rank_pattern": {},
|
| 30 |
+
"revision": null,
|
| 31 |
+
"target_modules": [
|
| 32 |
+
"v_proj",
|
| 33 |
+
"q_proj",
|
| 34 |
+
"o_proj",
|
| 35 |
+
"k_proj"
|
| 36 |
+
],
|
| 37 |
+
"target_parameters": null,
|
| 38 |
+
"task_type": "CAUSAL_LM",
|
| 39 |
+
"trainable_token_indices": null,
|
| 40 |
+
"use_dora": false,
|
| 41 |
+
"use_qalora": false,
|
| 42 |
+
"use_rslora": false
|
| 43 |
+
}
|
cpt_qwen_14B/checkpoints/checkpoint-200/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5e32cd39a05adef845494ef625c330566280da483f1df43a7d896cde3d72e625
|
| 3 |
+
size 201378736
|
cpt_qwen_14B/checkpoints/checkpoint-200/chat_template.jinja
ADDED
|
@@ -0,0 +1,54 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{%- if tools %}
|
| 2 |
+
{{- '<|im_start|>system\n' }}
|
| 3 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 4 |
+
{{- messages[0]['content'] }}
|
| 5 |
+
{%- else %}
|
| 6 |
+
{{- 'You are a helpful assistant.' }}
|
| 7 |
+
{%- endif %}
|
| 8 |
+
{{- "\n\n# 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>" }}
|
| 9 |
+
{%- for tool in tools %}
|
| 10 |
+
{{- "\n" }}
|
| 11 |
+
{{- tool | tojson }}
|
| 12 |
+
{%- endfor %}
|
| 13 |
+
{{- "\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" }}
|
| 14 |
+
{%- else %}
|
| 15 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 16 |
+
{{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
|
| 17 |
+
{%- else %}
|
| 18 |
+
{{- '<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n' }}
|
| 19 |
+
{%- endif %}
|
| 20 |
+
{%- endif %}
|
| 21 |
+
{%- for message in messages %}
|
| 22 |
+
{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
|
| 23 |
+
{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
|
| 24 |
+
{%- elif message.role == "assistant" %}
|
| 25 |
+
{{- '<|im_start|>' + message.role }}
|
| 26 |
+
{%- if message.content %}
|
| 27 |
+
{{- '\n' + message.content }}
|
| 28 |
+
{%- endif %}
|
| 29 |
+
{%- for tool_call in message.tool_calls %}
|
| 30 |
+
{%- if tool_call.function is defined %}
|
| 31 |
+
{%- set tool_call = tool_call.function %}
|
| 32 |
+
{%- endif %}
|
| 33 |
+
{{- '\n<tool_call>\n{"name": "' }}
|
| 34 |
+
{{- tool_call.name }}
|
| 35 |
+
{{- '", "arguments": ' }}
|
| 36 |
+
{{- tool_call.arguments | tojson }}
|
| 37 |
+
{{- '}\n</tool_call>' }}
|
| 38 |
+
{%- endfor %}
|
| 39 |
+
{{- '<|im_end|>\n' }}
|
| 40 |
+
{%- elif message.role == "tool" %}
|
| 41 |
+
{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
|
| 42 |
+
{{- '<|im_start|>user' }}
|
| 43 |
+
{%- endif %}
|
| 44 |
+
{{- '\n<tool_response>\n' }}
|
| 45 |
+
{{- message.content }}
|
| 46 |
+
{{- '\n</tool_response>' }}
|
| 47 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
| 48 |
+
{{- '<|im_end|>\n' }}
|
| 49 |
+
{%- endif %}
|
| 50 |
+
{%- endif %}
|
| 51 |
+
{%- endfor %}
|
| 52 |
+
{%- if add_generation_prompt %}
|
| 53 |
+
{{- '<|im_start|>assistant\n' }}
|
| 54 |
+
{%- endif %}
|
cpt_qwen_14B/checkpoints/checkpoint-200/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8cec9971f0f83d3992bfdb8378f1f654b8058c6e92f4735b925ed926ebefea84
|
| 3 |
+
size 102698471
|
cpt_qwen_14B/checkpoints/checkpoint-200/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7e70b27b141a53396d5df1322c439b8190c0da577dedafcca185e03254d54da1
|
| 3 |
+
size 14645
|
cpt_qwen_14B/checkpoints/checkpoint-200/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a2ea6b9b029d63c1e2f3731428c97dfbc99ba9388eac107e6ecbed49452b1af9
|
| 3 |
+
size 1465
|
cpt_qwen_14B/checkpoints/checkpoint-200/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3fd169731d2cbde95e10bf356d66d5997fd885dd8dbb6fb4684da3f23b2585d8
|
| 3 |
+
size 11421892
|
cpt_qwen_14B/checkpoints/checkpoint-200/tokenizer_config.json
ADDED
|
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"backend": "tokenizers",
|
| 4 |
+
"bos_token": null,
|
| 5 |
+
"clean_up_tokenization_spaces": false,
|
| 6 |
+
"eos_token": "<|endoftext|>",
|
| 7 |
+
"errors": "replace",
|
| 8 |
+
"extra_special_tokens": [
|
| 9 |
+
"<|im_start|>",
|
| 10 |
+
"<|im_end|>",
|
| 11 |
+
"<|object_ref_start|>",
|
| 12 |
+
"<|object_ref_end|>",
|
| 13 |
+
"<|box_start|>",
|
| 14 |
+
"<|box_end|>",
|
| 15 |
+
"<|quad_start|>",
|
| 16 |
+
"<|quad_end|>",
|
| 17 |
+
"<|vision_start|>",
|
| 18 |
+
"<|vision_end|>",
|
| 19 |
+
"<|vision_pad|>",
|
| 20 |
+
"<|image_pad|>",
|
| 21 |
+
"<|video_pad|>"
|
| 22 |
+
],
|
| 23 |
+
"is_local": true,
|
| 24 |
+
"model_max_length": 32768,
|
| 25 |
+
"pad_token": "<|endoftext|>",
|
| 26 |
+
"split_special_tokens": false,
|
| 27 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 28 |
+
"unk_token": null
|
| 29 |
+
}
|
cpt_qwen_14B/checkpoints/checkpoint-200/trainer_state.json
ADDED
|
@@ -0,0 +1,1466 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": 200,
|
| 3 |
+
"best_metric": 0.7551760673522949,
|
| 4 |
+
"best_model_checkpoint": "runs/cpt_run_14b/checkpoints/checkpoint-200",
|
| 5 |
+
"epoch": 0.6113870844478411,
|
| 6 |
+
"eval_steps": 50,
|
| 7 |
+
"global_step": 200,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.003056935422239205,
|
| 14 |
+
"grad_norm": 0.06516239047050476,
|
| 15 |
+
"learning_rate": 0.0,
|
| 16 |
+
"loss": 1.138384461402893,
|
| 17 |
+
"step": 1
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 0.00611387084447841,
|
| 21 |
+
"grad_norm": 0.05343673378229141,
|
| 22 |
+
"learning_rate": 3.0303030303030305e-07,
|
| 23 |
+
"loss": 0.983342707157135,
|
| 24 |
+
"step": 2
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.009170806266717615,
|
| 28 |
+
"grad_norm": 0.05608418956398964,
|
| 29 |
+
"learning_rate": 6.060606060606061e-07,
|
| 30 |
+
"loss": 1.0762118101119995,
|
| 31 |
+
"step": 3
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.01222774168895682,
|
| 35 |
+
"grad_norm": 0.06523486226797104,
|
| 36 |
+
"learning_rate": 9.090909090909091e-07,
|
| 37 |
+
"loss": 1.084489345550537,
|
| 38 |
+
"step": 4
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.015284677111196026,
|
| 42 |
+
"grad_norm": 0.06582186371088028,
|
| 43 |
+
"learning_rate": 1.2121212121212122e-06,
|
| 44 |
+
"loss": 1.2037022113800049,
|
| 45 |
+
"step": 5
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.01834161253343523,
|
| 49 |
+
"grad_norm": 0.06097998470067978,
|
| 50 |
+
"learning_rate": 1.5151515151515152e-06,
|
| 51 |
+
"loss": 1.10005784034729,
|
| 52 |
+
"step": 6
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 0.021398547955674436,
|
| 56 |
+
"grad_norm": 0.10365528613328934,
|
| 57 |
+
"learning_rate": 1.8181818181818183e-06,
|
| 58 |
+
"loss": 1.0895193815231323,
|
| 59 |
+
"step": 7
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 0.02445548337791364,
|
| 63 |
+
"grad_norm": 0.06312141567468643,
|
| 64 |
+
"learning_rate": 2.1212121212121216e-06,
|
| 65 |
+
"loss": 1.0593242645263672,
|
| 66 |
+
"step": 8
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.027512418800152847,
|
| 70 |
+
"grad_norm": 0.05508403480052948,
|
| 71 |
+
"learning_rate": 2.4242424242424244e-06,
|
| 72 |
+
"loss": 0.9772955179214478,
|
| 73 |
+
"step": 9
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 0.030569354222392053,
|
| 77 |
+
"grad_norm": 0.06006711348891258,
|
| 78 |
+
"learning_rate": 2.7272727272727272e-06,
|
| 79 |
+
"loss": 1.084238886833191,
|
| 80 |
+
"step": 10
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.033626289644631255,
|
| 84 |
+
"grad_norm": 0.0588749423623085,
|
| 85 |
+
"learning_rate": 3.0303030303030305e-06,
|
| 86 |
+
"loss": 1.0786534547805786,
|
| 87 |
+
"step": 11
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.03668322506687046,
|
| 91 |
+
"grad_norm": 0.046551357954740524,
|
| 92 |
+
"learning_rate": 3.3333333333333333e-06,
|
| 93 |
+
"loss": 1.0370622873306274,
|
| 94 |
+
"step": 12
|
| 95 |
+
},
|
| 96 |
+
{
|
| 97 |
+
"epoch": 0.039740160489109666,
|
| 98 |
+
"grad_norm": 0.061659567058086395,
|
| 99 |
+
"learning_rate": 3.6363636363636366e-06,
|
| 100 |
+
"loss": 1.0646986961364746,
|
| 101 |
+
"step": 13
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 0.04279709591134887,
|
| 105 |
+
"grad_norm": 0.06007347255945206,
|
| 106 |
+
"learning_rate": 3.93939393939394e-06,
|
| 107 |
+
"loss": 1.0311307907104492,
|
| 108 |
+
"step": 14
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"epoch": 0.04585403133358808,
|
| 112 |
+
"grad_norm": 0.07314135134220123,
|
| 113 |
+
"learning_rate": 4.242424242424243e-06,
|
| 114 |
+
"loss": 1.1300500631332397,
|
| 115 |
+
"step": 15
|
| 116 |
+
},
|
| 117 |
+
{
|
| 118 |
+
"epoch": 0.04891096675582728,
|
| 119 |
+
"grad_norm": 0.060934022068977356,
|
| 120 |
+
"learning_rate": 4.5454545454545455e-06,
|
| 121 |
+
"loss": 1.0197452306747437,
|
| 122 |
+
"step": 16
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 0.05196790217806649,
|
| 126 |
+
"grad_norm": 0.056856051087379456,
|
| 127 |
+
"learning_rate": 4.848484848484849e-06,
|
| 128 |
+
"loss": 1.0438549518585205,
|
| 129 |
+
"step": 17
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.055024837600305694,
|
| 133 |
+
"grad_norm": 0.05908689647912979,
|
| 134 |
+
"learning_rate": 5.151515151515152e-06,
|
| 135 |
+
"loss": 1.0398856401443481,
|
| 136 |
+
"step": 18
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"epoch": 0.0580817730225449,
|
| 140 |
+
"grad_norm": 0.07411840558052063,
|
| 141 |
+
"learning_rate": 5.4545454545454545e-06,
|
| 142 |
+
"loss": 1.107885479927063,
|
| 143 |
+
"step": 19
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 0.061138708444784105,
|
| 147 |
+
"grad_norm": 0.0749165341258049,
|
| 148 |
+
"learning_rate": 5.7575757575757586e-06,
|
| 149 |
+
"loss": 1.1060967445373535,
|
| 150 |
+
"step": 20
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"epoch": 0.06419564386702331,
|
| 154 |
+
"grad_norm": 0.06720177084207535,
|
| 155 |
+
"learning_rate": 6.060606060606061e-06,
|
| 156 |
+
"loss": 1.0471720695495605,
|
| 157 |
+
"step": 21
|
| 158 |
+
},
|
| 159 |
+
{
|
| 160 |
+
"epoch": 0.06725257928926251,
|
| 161 |
+
"grad_norm": 0.05990725755691528,
|
| 162 |
+
"learning_rate": 6.363636363636364e-06,
|
| 163 |
+
"loss": 1.0944981575012207,
|
| 164 |
+
"step": 22
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 0.07030951471150172,
|
| 168 |
+
"grad_norm": 0.06672193855047226,
|
| 169 |
+
"learning_rate": 6.666666666666667e-06,
|
| 170 |
+
"loss": 1.1477092504501343,
|
| 171 |
+
"step": 23
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 0.07336645013374092,
|
| 175 |
+
"grad_norm": 0.06145205348730087,
|
| 176 |
+
"learning_rate": 6.969696969696971e-06,
|
| 177 |
+
"loss": 1.0591784715652466,
|
| 178 |
+
"step": 24
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"epoch": 0.07642338555598013,
|
| 182 |
+
"grad_norm": 0.0757482647895813,
|
| 183 |
+
"learning_rate": 7.272727272727273e-06,
|
| 184 |
+
"loss": 1.0500165224075317,
|
| 185 |
+
"step": 25
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 0.07948032097821933,
|
| 189 |
+
"grad_norm": 0.07848478108644485,
|
| 190 |
+
"learning_rate": 7.5757575757575764e-06,
|
| 191 |
+
"loss": 1.0747522115707397,
|
| 192 |
+
"step": 26
|
| 193 |
+
},
|
| 194 |
+
{
|
| 195 |
+
"epoch": 0.08253725640045854,
|
| 196 |
+
"grad_norm": 0.07740631699562073,
|
| 197 |
+
"learning_rate": 7.87878787878788e-06,
|
| 198 |
+
"loss": 1.132310152053833,
|
| 199 |
+
"step": 27
|
| 200 |
+
},
|
| 201 |
+
{
|
| 202 |
+
"epoch": 0.08559419182269774,
|
| 203 |
+
"grad_norm": 0.07476603239774704,
|
| 204 |
+
"learning_rate": 8.181818181818183e-06,
|
| 205 |
+
"loss": 1.0339502096176147,
|
| 206 |
+
"step": 28
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 0.08865112724493696,
|
| 210 |
+
"grad_norm": 0.0779196098446846,
|
| 211 |
+
"learning_rate": 8.484848484848486e-06,
|
| 212 |
+
"loss": 1.1047282218933105,
|
| 213 |
+
"step": 29
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"epoch": 0.09170806266717615,
|
| 217 |
+
"grad_norm": 0.06962384283542633,
|
| 218 |
+
"learning_rate": 8.787878787878788e-06,
|
| 219 |
+
"loss": 1.004916787147522,
|
| 220 |
+
"step": 30
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"epoch": 0.09476499808941537,
|
| 224 |
+
"grad_norm": 0.06369175016880035,
|
| 225 |
+
"learning_rate": 9.090909090909091e-06,
|
| 226 |
+
"loss": 0.9296417832374573,
|
| 227 |
+
"step": 31
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 0.09782193351165457,
|
| 231 |
+
"grad_norm": 0.07470260560512543,
|
| 232 |
+
"learning_rate": 9.393939393939396e-06,
|
| 233 |
+
"loss": 1.0721708536148071,
|
| 234 |
+
"step": 32
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 0.10087886893389378,
|
| 238 |
+
"grad_norm": 0.07948213815689087,
|
| 239 |
+
"learning_rate": 9.696969696969698e-06,
|
| 240 |
+
"loss": 1.0350117683410645,
|
| 241 |
+
"step": 33
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"epoch": 0.10393580435613298,
|
| 245 |
+
"grad_norm": 0.07066022604703903,
|
| 246 |
+
"learning_rate": 1e-05,
|
| 247 |
+
"loss": 1.026305913925171,
|
| 248 |
+
"step": 34
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 0.10699273977837218,
|
| 252 |
+
"grad_norm": 0.07774543762207031,
|
| 253 |
+
"learning_rate": 1.0303030303030304e-05,
|
| 254 |
+
"loss": 1.0509816408157349,
|
| 255 |
+
"step": 35
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 0.11004967520061139,
|
| 259 |
+
"grad_norm": 0.07501248270273209,
|
| 260 |
+
"learning_rate": 1.0606060606060606e-05,
|
| 261 |
+
"loss": 1.0011574029922485,
|
| 262 |
+
"step": 36
|
| 263 |
+
},
|
| 264 |
+
{
|
| 265 |
+
"epoch": 0.11310661062285059,
|
| 266 |
+
"grad_norm": 0.6622501611709595,
|
| 267 |
+
"learning_rate": 1.0909090909090909e-05,
|
| 268 |
+
"loss": 0.9754424691200256,
|
| 269 |
+
"step": 37
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 0.1161635460450898,
|
| 273 |
+
"grad_norm": 0.07566080242395401,
|
| 274 |
+
"learning_rate": 1.1212121212121212e-05,
|
| 275 |
+
"loss": 1.0342774391174316,
|
| 276 |
+
"step": 38
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 0.119220481467329,
|
| 280 |
+
"grad_norm": 0.07573831081390381,
|
| 281 |
+
"learning_rate": 1.1515151515151517e-05,
|
| 282 |
+
"loss": 0.9714518785476685,
|
| 283 |
+
"step": 39
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"epoch": 0.12227741688956821,
|
| 287 |
+
"grad_norm": 0.08083852380514145,
|
| 288 |
+
"learning_rate": 1.181818181818182e-05,
|
| 289 |
+
"loss": 1.1050316095352173,
|
| 290 |
+
"step": 40
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 0.12533435231180742,
|
| 294 |
+
"grad_norm": 0.08540588617324829,
|
| 295 |
+
"learning_rate": 1.2121212121212122e-05,
|
| 296 |
+
"loss": 1.0871070623397827,
|
| 297 |
+
"step": 41
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 0.12839128773404662,
|
| 301 |
+
"grad_norm": 0.07391592115163803,
|
| 302 |
+
"learning_rate": 1.2424242424242425e-05,
|
| 303 |
+
"loss": 1.0206722021102905,
|
| 304 |
+
"step": 42
|
| 305 |
+
},
|
| 306 |
+
{
|
| 307 |
+
"epoch": 0.13144822315628582,
|
| 308 |
+
"grad_norm": 0.07063689082860947,
|
| 309 |
+
"learning_rate": 1.2727272727272728e-05,
|
| 310 |
+
"loss": 0.9775047898292542,
|
| 311 |
+
"step": 43
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"epoch": 0.13450515857852502,
|
| 315 |
+
"grad_norm": 0.07288888841867447,
|
| 316 |
+
"learning_rate": 1.3030303030303032e-05,
|
| 317 |
+
"loss": 1.1132858991622925,
|
| 318 |
+
"step": 44
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 0.13756209400076425,
|
| 322 |
+
"grad_norm": 0.07641777396202087,
|
| 323 |
+
"learning_rate": 1.3333333333333333e-05,
|
| 324 |
+
"loss": 1.0707701444625854,
|
| 325 |
+
"step": 45
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"epoch": 0.14061902942300344,
|
| 329 |
+
"grad_norm": 0.06990326195955276,
|
| 330 |
+
"learning_rate": 1.3636363636363637e-05,
|
| 331 |
+
"loss": 0.9328265190124512,
|
| 332 |
+
"step": 46
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 0.14367596484524264,
|
| 336 |
+
"grad_norm": 0.0834241658449173,
|
| 337 |
+
"learning_rate": 1.3939393939393942e-05,
|
| 338 |
+
"loss": 1.0131721496582031,
|
| 339 |
+
"step": 47
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 0.14673290026748184,
|
| 343 |
+
"grad_norm": 0.0714937075972557,
|
| 344 |
+
"learning_rate": 1.4242424242424245e-05,
|
| 345 |
+
"loss": 0.940493106842041,
|
| 346 |
+
"step": 48
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 0.14978983568972107,
|
| 350 |
+
"grad_norm": 0.07770547270774841,
|
| 351 |
+
"learning_rate": 1.4545454545454546e-05,
|
| 352 |
+
"loss": 1.0435771942138672,
|
| 353 |
+
"step": 49
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 0.15284677111196027,
|
| 357 |
+
"grad_norm": 0.07950945198535919,
|
| 358 |
+
"learning_rate": 1.484848484848485e-05,
|
| 359 |
+
"loss": 1.0382137298583984,
|
| 360 |
+
"step": 50
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 0.15284677111196027,
|
| 364 |
+
"eval_loss": 1.0129202604293823,
|
| 365 |
+
"eval_runtime": 724.3664,
|
| 366 |
+
"eval_samples_per_second": 0.832,
|
| 367 |
+
"eval_steps_per_second": 0.832,
|
| 368 |
+
"step": 50
|
| 369 |
+
},
|
| 370 |
+
{
|
| 371 |
+
"epoch": 0.15590370653419947,
|
| 372 |
+
"grad_norm": 0.06961936503648758,
|
| 373 |
+
"learning_rate": 1.5151515151515153e-05,
|
| 374 |
+
"loss": 0.9690049886703491,
|
| 375 |
+
"step": 51
|
| 376 |
+
},
|
| 377 |
+
{
|
| 378 |
+
"epoch": 0.15896064195643866,
|
| 379 |
+
"grad_norm": 0.069523885846138,
|
| 380 |
+
"learning_rate": 1.5454545454545454e-05,
|
| 381 |
+
"loss": 0.9830482006072998,
|
| 382 |
+
"step": 52
|
| 383 |
+
},
|
| 384 |
+
{
|
| 385 |
+
"epoch": 0.16201757737867786,
|
| 386 |
+
"grad_norm": 0.0764622762799263,
|
| 387 |
+
"learning_rate": 1.575757575757576e-05,
|
| 388 |
+
"loss": 1.0895472764968872,
|
| 389 |
+
"step": 53
|
| 390 |
+
},
|
| 391 |
+
{
|
| 392 |
+
"epoch": 0.1650745128009171,
|
| 393 |
+
"grad_norm": 0.1413721889257431,
|
| 394 |
+
"learning_rate": 1.606060606060606e-05,
|
| 395 |
+
"loss": 1.0354574918746948,
|
| 396 |
+
"step": 54
|
| 397 |
+
},
|
| 398 |
+
{
|
| 399 |
+
"epoch": 0.1681314482231563,
|
| 400 |
+
"grad_norm": 0.06818042695522308,
|
| 401 |
+
"learning_rate": 1.6363636363636366e-05,
|
| 402 |
+
"loss": 0.8534265160560608,
|
| 403 |
+
"step": 55
|
| 404 |
+
},
|
| 405 |
+
{
|
| 406 |
+
"epoch": 0.1711883836453955,
|
| 407 |
+
"grad_norm": 0.0722246989607811,
|
| 408 |
+
"learning_rate": 1.6666666666666667e-05,
|
| 409 |
+
"loss": 0.9580274820327759,
|
| 410 |
+
"step": 56
|
| 411 |
+
},
|
| 412 |
+
{
|
| 413 |
+
"epoch": 0.17424531906763469,
|
| 414 |
+
"grad_norm": 0.07113443315029144,
|
| 415 |
+
"learning_rate": 1.6969696969696972e-05,
|
| 416 |
+
"loss": 1.0721848011016846,
|
| 417 |
+
"step": 57
|
| 418 |
+
},
|
| 419 |
+
{
|
| 420 |
+
"epoch": 0.1773022544898739,
|
| 421 |
+
"grad_norm": 0.08412107080221176,
|
| 422 |
+
"learning_rate": 1.7272727272727274e-05,
|
| 423 |
+
"loss": 1.1180150508880615,
|
| 424 |
+
"step": 58
|
| 425 |
+
},
|
| 426 |
+
{
|
| 427 |
+
"epoch": 0.1803591899121131,
|
| 428 |
+
"grad_norm": 0.07381036877632141,
|
| 429 |
+
"learning_rate": 1.7575757575757576e-05,
|
| 430 |
+
"loss": 1.0384547710418701,
|
| 431 |
+
"step": 59
|
| 432 |
+
},
|
| 433 |
+
{
|
| 434 |
+
"epoch": 0.1834161253343523,
|
| 435 |
+
"grad_norm": 0.07089001685380936,
|
| 436 |
+
"learning_rate": 1.787878787878788e-05,
|
| 437 |
+
"loss": 1.0446016788482666,
|
| 438 |
+
"step": 60
|
| 439 |
+
},
|
| 440 |
+
{
|
| 441 |
+
"epoch": 0.1864730607565915,
|
| 442 |
+
"grad_norm": 0.11576953530311584,
|
| 443 |
+
"learning_rate": 1.8181818181818182e-05,
|
| 444 |
+
"loss": 1.0015051364898682,
|
| 445 |
+
"step": 61
|
| 446 |
+
},
|
| 447 |
+
{
|
| 448 |
+
"epoch": 0.18952999617883073,
|
| 449 |
+
"grad_norm": 0.08030868321657181,
|
| 450 |
+
"learning_rate": 1.8484848484848487e-05,
|
| 451 |
+
"loss": 0.9642710089683533,
|
| 452 |
+
"step": 62
|
| 453 |
+
},
|
| 454 |
+
{
|
| 455 |
+
"epoch": 0.19258693160106993,
|
| 456 |
+
"grad_norm": 0.08332342654466629,
|
| 457 |
+
"learning_rate": 1.8787878787878792e-05,
|
| 458 |
+
"loss": 1.0722991228103638,
|
| 459 |
+
"step": 63
|
| 460 |
+
},
|
| 461 |
+
{
|
| 462 |
+
"epoch": 0.19564386702330913,
|
| 463 |
+
"grad_norm": 0.08000365644693375,
|
| 464 |
+
"learning_rate": 1.9090909090909094e-05,
|
| 465 |
+
"loss": 1.0104647874832153,
|
| 466 |
+
"step": 64
|
| 467 |
+
},
|
| 468 |
+
{
|
| 469 |
+
"epoch": 0.19870080244554833,
|
| 470 |
+
"grad_norm": 0.08139508217573166,
|
| 471 |
+
"learning_rate": 1.9393939393939395e-05,
|
| 472 |
+
"loss": 0.9445061087608337,
|
| 473 |
+
"step": 65
|
| 474 |
+
},
|
| 475 |
+
{
|
| 476 |
+
"epoch": 0.20175773786778756,
|
| 477 |
+
"grad_norm": 0.08749893307685852,
|
| 478 |
+
"learning_rate": 1.96969696969697e-05,
|
| 479 |
+
"loss": 1.080810308456421,
|
| 480 |
+
"step": 66
|
| 481 |
+
},
|
| 482 |
+
{
|
| 483 |
+
"epoch": 0.20481467329002676,
|
| 484 |
+
"grad_norm": 0.0786912813782692,
|
| 485 |
+
"learning_rate": 2e-05,
|
| 486 |
+
"loss": 0.9705753922462463,
|
| 487 |
+
"step": 67
|
| 488 |
+
},
|
| 489 |
+
{
|
| 490 |
+
"epoch": 0.20787160871226595,
|
| 491 |
+
"grad_norm": 0.08962028473615646,
|
| 492 |
+
"learning_rate": 1.9999858236410775e-05,
|
| 493 |
+
"loss": 0.962783694267273,
|
| 494 |
+
"step": 68
|
| 495 |
+
},
|
| 496 |
+
{
|
| 497 |
+
"epoch": 0.21092854413450515,
|
| 498 |
+
"grad_norm": 0.08402887731790543,
|
| 499 |
+
"learning_rate": 1.9999432949662483e-05,
|
| 500 |
+
"loss": 0.9959614872932434,
|
| 501 |
+
"step": 69
|
| 502 |
+
},
|
| 503 |
+
{
|
| 504 |
+
"epoch": 0.21398547955674435,
|
| 505 |
+
"grad_norm": 0.08036444336175919,
|
| 506 |
+
"learning_rate": 1.9998724151813157e-05,
|
| 507 |
+
"loss": 0.9569960832595825,
|
| 508 |
+
"step": 70
|
| 509 |
+
},
|
| 510 |
+
{
|
| 511 |
+
"epoch": 0.21704241497898358,
|
| 512 |
+
"grad_norm": 0.08247046917676926,
|
| 513 |
+
"learning_rate": 1.9997731862959143e-05,
|
| 514 |
+
"loss": 1.0012171268463135,
|
| 515 |
+
"step": 71
|
| 516 |
+
},
|
| 517 |
+
{
|
| 518 |
+
"epoch": 0.22009935040122278,
|
| 519 |
+
"grad_norm": 0.08966264873743057,
|
| 520 |
+
"learning_rate": 1.999645611123453e-05,
|
| 521 |
+
"loss": 1.0403809547424316,
|
| 522 |
+
"step": 72
|
| 523 |
+
},
|
| 524 |
+
{
|
| 525 |
+
"epoch": 0.22315628582346198,
|
| 526 |
+
"grad_norm": 0.08061660826206207,
|
| 527 |
+
"learning_rate": 1.999489693281034e-05,
|
| 528 |
+
"loss": 1.0089740753173828,
|
| 529 |
+
"step": 73
|
| 530 |
+
},
|
| 531 |
+
{
|
| 532 |
+
"epoch": 0.22621322124570117,
|
| 533 |
+
"grad_norm": 0.09005365520715714,
|
| 534 |
+
"learning_rate": 1.9993054371893526e-05,
|
| 535 |
+
"loss": 0.9333044290542603,
|
| 536 |
+
"step": 74
|
| 537 |
+
},
|
| 538 |
+
{
|
| 539 |
+
"epoch": 0.2292701566679404,
|
| 540 |
+
"grad_norm": 0.08651519566774368,
|
| 541 |
+
"learning_rate": 1.9990928480725694e-05,
|
| 542 |
+
"loss": 0.9284015893936157,
|
| 543 |
+
"step": 75
|
| 544 |
+
},
|
| 545 |
+
{
|
| 546 |
+
"epoch": 0.2323270920901796,
|
| 547 |
+
"grad_norm": 0.08141147345304489,
|
| 548 |
+
"learning_rate": 1.9988519319581637e-05,
|
| 549 |
+
"loss": 0.9782730340957642,
|
| 550 |
+
"step": 76
|
| 551 |
+
},
|
| 552 |
+
{
|
| 553 |
+
"epoch": 0.2353840275124188,
|
| 554 |
+
"grad_norm": 0.08344405144453049,
|
| 555 |
+
"learning_rate": 1.998582695676762e-05,
|
| 556 |
+
"loss": 0.9723064303398132,
|
| 557 |
+
"step": 77
|
| 558 |
+
},
|
| 559 |
+
{
|
| 560 |
+
"epoch": 0.238440962934658,
|
| 561 |
+
"grad_norm": 0.08019903302192688,
|
| 562 |
+
"learning_rate": 1.998285146861945e-05,
|
| 563 |
+
"loss": 0.9648997783660889,
|
| 564 |
+
"step": 78
|
| 565 |
+
},
|
| 566 |
+
{
|
| 567 |
+
"epoch": 0.24149789835689722,
|
| 568 |
+
"grad_norm": 0.08113416284322739,
|
| 569 |
+
"learning_rate": 1.99795929395003e-05,
|
| 570 |
+
"loss": 0.9263214468955994,
|
| 571 |
+
"step": 79
|
| 572 |
+
},
|
| 573 |
+
{
|
| 574 |
+
"epoch": 0.24455483377913642,
|
| 575 |
+
"grad_norm": 0.08127513527870178,
|
| 576 |
+
"learning_rate": 1.997605146179833e-05,
|
| 577 |
+
"loss": 0.8745232224464417,
|
| 578 |
+
"step": 80
|
| 579 |
+
},
|
| 580 |
+
{
|
| 581 |
+
"epoch": 0.24761176920137562,
|
| 582 |
+
"grad_norm": 0.09934187680482864,
|
| 583 |
+
"learning_rate": 1.997222713592405e-05,
|
| 584 |
+
"loss": 0.8722782135009766,
|
| 585 |
+
"step": 81
|
| 586 |
+
},
|
| 587 |
+
{
|
| 588 |
+
"epoch": 0.25066870462361485,
|
| 589 |
+
"grad_norm": 0.09701363742351532,
|
| 590 |
+
"learning_rate": 1.9968120070307503e-05,
|
| 591 |
+
"loss": 1.0084266662597656,
|
| 592 |
+
"step": 82
|
| 593 |
+
},
|
| 594 |
+
{
|
| 595 |
+
"epoch": 0.253725640045854,
|
| 596 |
+
"grad_norm": 0.08335654437541962,
|
| 597 |
+
"learning_rate": 1.9963730381395154e-05,
|
| 598 |
+
"loss": 0.9239332675933838,
|
| 599 |
+
"step": 83
|
| 600 |
+
},
|
| 601 |
+
{
|
| 602 |
+
"epoch": 0.25678257546809324,
|
| 603 |
+
"grad_norm": 0.09161650389432907,
|
| 604 |
+
"learning_rate": 1.9959058193646618e-05,
|
| 605 |
+
"loss": 0.9878032207489014,
|
| 606 |
+
"step": 84
|
| 607 |
+
},
|
| 608 |
+
{
|
| 609 |
+
"epoch": 0.2598395108903324,
|
| 610 |
+
"grad_norm": 0.08067663013935089,
|
| 611 |
+
"learning_rate": 1.9954103639531116e-05,
|
| 612 |
+
"loss": 0.9113098382949829,
|
| 613 |
+
"step": 85
|
| 614 |
+
},
|
| 615 |
+
{
|
| 616 |
+
"epoch": 0.26289644631257164,
|
| 617 |
+
"grad_norm": 0.09619539976119995,
|
| 618 |
+
"learning_rate": 1.9948866859523717e-05,
|
| 619 |
+
"loss": 0.9527600407600403,
|
| 620 |
+
"step": 86
|
| 621 |
+
},
|
| 622 |
+
{
|
| 623 |
+
"epoch": 0.26595338173481087,
|
| 624 |
+
"grad_norm": 0.10015493631362915,
|
| 625 |
+
"learning_rate": 1.9943348002101374e-05,
|
| 626 |
+
"loss": 0.9569152593612671,
|
| 627 |
+
"step": 87
|
| 628 |
+
},
|
| 629 |
+
{
|
| 630 |
+
"epoch": 0.26901031715705004,
|
| 631 |
+
"grad_norm": 0.09012345969676971,
|
| 632 |
+
"learning_rate": 1.993754722373869e-05,
|
| 633 |
+
"loss": 0.8912045359611511,
|
| 634 |
+
"step": 88
|
| 635 |
+
},
|
| 636 |
+
{
|
| 637 |
+
"epoch": 0.27206725257928926,
|
| 638 |
+
"grad_norm": 0.10342805832624435,
|
| 639 |
+
"learning_rate": 1.9931464688903502e-05,
|
| 640 |
+
"loss": 0.856104850769043,
|
| 641 |
+
"step": 89
|
| 642 |
+
},
|
| 643 |
+
{
|
| 644 |
+
"epoch": 0.2751241880015285,
|
| 645 |
+
"grad_norm": 0.10218493640422821,
|
| 646 |
+
"learning_rate": 1.9925100570052194e-05,
|
| 647 |
+
"loss": 0.9631397128105164,
|
| 648 |
+
"step": 90
|
| 649 |
+
},
|
| 650 |
+
{
|
| 651 |
+
"epoch": 0.27818112342376766,
|
| 652 |
+
"grad_norm": 0.10909046977758408,
|
| 653 |
+
"learning_rate": 1.9918455047624847e-05,
|
| 654 |
+
"loss": 0.8532565236091614,
|
| 655 |
+
"step": 91
|
| 656 |
+
},
|
| 657 |
+
{
|
| 658 |
+
"epoch": 0.2812380588460069,
|
| 659 |
+
"grad_norm": 0.10714197903871536,
|
| 660 |
+
"learning_rate": 1.9911528310040073e-05,
|
| 661 |
+
"loss": 0.9691859483718872,
|
| 662 |
+
"step": 92
|
| 663 |
+
},
|
| 664 |
+
{
|
| 665 |
+
"epoch": 0.28429499426824606,
|
| 666 |
+
"grad_norm": 0.1108694076538086,
|
| 667 |
+
"learning_rate": 1.990432055368971e-05,
|
| 668 |
+
"loss": 0.9374334812164307,
|
| 669 |
+
"step": 93
|
| 670 |
+
},
|
| 671 |
+
{
|
| 672 |
+
"epoch": 0.2873519296904853,
|
| 673 |
+
"grad_norm": 0.10037308186292648,
|
| 674 |
+
"learning_rate": 1.989683198293324e-05,
|
| 675 |
+
"loss": 0.9166896343231201,
|
| 676 |
+
"step": 94
|
| 677 |
+
},
|
| 678 |
+
{
|
| 679 |
+
"epoch": 0.2904088651127245,
|
| 680 |
+
"grad_norm": 0.10246684402227402,
|
| 681 |
+
"learning_rate": 1.9889062810092002e-05,
|
| 682 |
+
"loss": 1.0059239864349365,
|
| 683 |
+
"step": 95
|
| 684 |
+
},
|
| 685 |
+
{
|
| 686 |
+
"epoch": 0.2934658005349637,
|
| 687 |
+
"grad_norm": 0.09954962879419327,
|
| 688 |
+
"learning_rate": 1.9881013255443152e-05,
|
| 689 |
+
"loss": 1.00413179397583,
|
| 690 |
+
"step": 96
|
| 691 |
+
},
|
| 692 |
+
{
|
| 693 |
+
"epoch": 0.2965227359572029,
|
| 694 |
+
"grad_norm": 0.11006761342287064,
|
| 695 |
+
"learning_rate": 1.9872683547213446e-05,
|
| 696 |
+
"loss": 0.9414035677909851,
|
| 697 |
+
"step": 97
|
| 698 |
+
},
|
| 699 |
+
{
|
| 700 |
+
"epoch": 0.29957967137944214,
|
| 701 |
+
"grad_norm": 0.1014382541179657,
|
| 702 |
+
"learning_rate": 1.9864073921572756e-05,
|
| 703 |
+
"loss": 0.9155468940734863,
|
| 704 |
+
"step": 98
|
| 705 |
+
},
|
| 706 |
+
{
|
| 707 |
+
"epoch": 0.3026366068016813,
|
| 708 |
+
"grad_norm": 0.09883157908916473,
|
| 709 |
+
"learning_rate": 1.9855184622627362e-05,
|
| 710 |
+
"loss": 0.9429305195808411,
|
| 711 |
+
"step": 99
|
| 712 |
+
},
|
| 713 |
+
{
|
| 714 |
+
"epoch": 0.30569354222392053,
|
| 715 |
+
"grad_norm": 0.11199072748422623,
|
| 716 |
+
"learning_rate": 1.9846015902413053e-05,
|
| 717 |
+
"loss": 0.9143528342247009,
|
| 718 |
+
"step": 100
|
| 719 |
+
},
|
| 720 |
+
{
|
| 721 |
+
"epoch": 0.30569354222392053,
|
| 722 |
+
"eval_loss": 0.884428083896637,
|
| 723 |
+
"eval_runtime": 723.8143,
|
| 724 |
+
"eval_samples_per_second": 0.833,
|
| 725 |
+
"eval_steps_per_second": 0.833,
|
| 726 |
+
"step": 100
|
| 727 |
+
},
|
| 728 |
+
{
|
| 729 |
+
"epoch": 0.3087504776461597,
|
| 730 |
+
"grad_norm": 0.10796016454696655,
|
| 731 |
+
"learning_rate": 1.9836568020887963e-05,
|
| 732 |
+
"loss": 0.9726455211639404,
|
| 733 |
+
"step": 101
|
| 734 |
+
},
|
| 735 |
+
{
|
| 736 |
+
"epoch": 0.31180741306839893,
|
| 737 |
+
"grad_norm": 0.10056383162736893,
|
| 738 |
+
"learning_rate": 1.982684124592521e-05,
|
| 739 |
+
"loss": 0.8932135701179504,
|
| 740 |
+
"step": 102
|
| 741 |
+
},
|
| 742 |
+
{
|
| 743 |
+
"epoch": 0.31486434849063816,
|
| 744 |
+
"grad_norm": 0.10836594551801682,
|
| 745 |
+
"learning_rate": 1.9816835853305306e-05,
|
| 746 |
+
"loss": 0.919749915599823,
|
| 747 |
+
"step": 103
|
| 748 |
+
},
|
| 749 |
+
{
|
| 750 |
+
"epoch": 0.31792128391287733,
|
| 751 |
+
"grad_norm": 0.12032149732112885,
|
| 752 |
+
"learning_rate": 1.9806552126708322e-05,
|
| 753 |
+
"loss": 0.871781587600708,
|
| 754 |
+
"step": 104
|
| 755 |
+
},
|
| 756 |
+
{
|
| 757 |
+
"epoch": 0.32097821933511655,
|
| 758 |
+
"grad_norm": 0.10854160040616989,
|
| 759 |
+
"learning_rate": 1.9795990357705853e-05,
|
| 760 |
+
"loss": 0.8587784171104431,
|
| 761 |
+
"step": 105
|
| 762 |
+
},
|
| 763 |
+
{
|
| 764 |
+
"epoch": 0.3240351547573557,
|
| 765 |
+
"grad_norm": 0.10819399356842041,
|
| 766 |
+
"learning_rate": 1.978515084575276e-05,
|
| 767 |
+
"loss": 0.8524806499481201,
|
| 768 |
+
"step": 106
|
| 769 |
+
},
|
| 770 |
+
{
|
| 771 |
+
"epoch": 0.32709209017959495,
|
| 772 |
+
"grad_norm": 0.10226067155599594,
|
| 773 |
+
"learning_rate": 1.9774033898178668e-05,
|
| 774 |
+
"loss": 0.7892144918441772,
|
| 775 |
+
"step": 107
|
| 776 |
+
},
|
| 777 |
+
{
|
| 778 |
+
"epoch": 0.3301490256018342,
|
| 779 |
+
"grad_norm": 0.1071159616112709,
|
| 780 |
+
"learning_rate": 1.976263983017925e-05,
|
| 781 |
+
"loss": 0.8833234906196594,
|
| 782 |
+
"step": 108
|
| 783 |
+
},
|
| 784 |
+
{
|
| 785 |
+
"epoch": 0.33320596102407335,
|
| 786 |
+
"grad_norm": 0.11434526741504669,
|
| 787 |
+
"learning_rate": 1.9750968964807305e-05,
|
| 788 |
+
"loss": 0.861842155456543,
|
| 789 |
+
"step": 109
|
| 790 |
+
},
|
| 791 |
+
{
|
| 792 |
+
"epoch": 0.3362628964463126,
|
| 793 |
+
"grad_norm": 0.1159641221165657,
|
| 794 |
+
"learning_rate": 1.9739021632963584e-05,
|
| 795 |
+
"loss": 0.8987889289855957,
|
| 796 |
+
"step": 110
|
| 797 |
+
},
|
| 798 |
+
{
|
| 799 |
+
"epoch": 0.3393198318685518,
|
| 800 |
+
"grad_norm": 0.12371373921632767,
|
| 801 |
+
"learning_rate": 1.9726798173387417e-05,
|
| 802 |
+
"loss": 0.9710193872451782,
|
| 803 |
+
"step": 111
|
| 804 |
+
},
|
| 805 |
+
{
|
| 806 |
+
"epoch": 0.342376767290791,
|
| 807 |
+
"grad_norm": 0.11441531032323837,
|
| 808 |
+
"learning_rate": 1.97142989326471e-05,
|
| 809 |
+
"loss": 0.8199151158332825,
|
| 810 |
+
"step": 112
|
| 811 |
+
},
|
| 812 |
+
{
|
| 813 |
+
"epoch": 0.3454337027130302,
|
| 814 |
+
"grad_norm": 0.11842846125364304,
|
| 815 |
+
"learning_rate": 1.9701524265130088e-05,
|
| 816 |
+
"loss": 0.8845276236534119,
|
| 817 |
+
"step": 113
|
| 818 |
+
},
|
| 819 |
+
{
|
| 820 |
+
"epoch": 0.34849063813526937,
|
| 821 |
+
"grad_norm": 0.10813732445240021,
|
| 822 |
+
"learning_rate": 1.9688474533032916e-05,
|
| 823 |
+
"loss": 0.7964264750480652,
|
| 824 |
+
"step": 114
|
| 825 |
+
},
|
| 826 |
+
{
|
| 827 |
+
"epoch": 0.3515475735575086,
|
| 828 |
+
"grad_norm": 0.11050347238779068,
|
| 829 |
+
"learning_rate": 1.9675150106350957e-05,
|
| 830 |
+
"loss": 0.9630422592163086,
|
| 831 |
+
"step": 115
|
| 832 |
+
},
|
| 833 |
+
{
|
| 834 |
+
"epoch": 0.3546045089797478,
|
| 835 |
+
"grad_norm": 0.10537250339984894,
|
| 836 |
+
"learning_rate": 1.9661551362867926e-05,
|
| 837 |
+
"loss": 0.7706905007362366,
|
| 838 |
+
"step": 116
|
| 839 |
+
},
|
| 840 |
+
{
|
| 841 |
+
"epoch": 0.357661444401987,
|
| 842 |
+
"grad_norm": 0.11390368640422821,
|
| 843 |
+
"learning_rate": 1.9647678688145163e-05,
|
| 844 |
+
"loss": 0.8541204929351807,
|
| 845 |
+
"step": 117
|
| 846 |
+
},
|
| 847 |
+
{
|
| 848 |
+
"epoch": 0.3607183798242262,
|
| 849 |
+
"grad_norm": 0.10318922251462936,
|
| 850 |
+
"learning_rate": 1.963353247551069e-05,
|
| 851 |
+
"loss": 0.7400562763214111,
|
| 852 |
+
"step": 118
|
| 853 |
+
},
|
| 854 |
+
{
|
| 855 |
+
"epoch": 0.3637753152464654,
|
| 856 |
+
"grad_norm": 0.1347586214542389,
|
| 857 |
+
"learning_rate": 1.9619113126048086e-05,
|
| 858 |
+
"loss": 0.9232871532440186,
|
| 859 |
+
"step": 119
|
| 860 |
+
},
|
| 861 |
+
{
|
| 862 |
+
"epoch": 0.3668322506687046,
|
| 863 |
+
"grad_norm": 0.11458177119493484,
|
| 864 |
+
"learning_rate": 1.96044210485851e-05,
|
| 865 |
+
"loss": 0.833285927772522,
|
| 866 |
+
"step": 120
|
| 867 |
+
},
|
| 868 |
+
{
|
| 869 |
+
"epoch": 0.36988918609094384,
|
| 870 |
+
"grad_norm": 0.12361041456460953,
|
| 871 |
+
"learning_rate": 1.958945665968206e-05,
|
| 872 |
+
"loss": 0.7887391448020935,
|
| 873 |
+
"step": 121
|
| 874 |
+
},
|
| 875 |
+
{
|
| 876 |
+
"epoch": 0.372946121513183,
|
| 877 |
+
"grad_norm": 0.11985408514738083,
|
| 878 |
+
"learning_rate": 1.9574220383620054e-05,
|
| 879 |
+
"loss": 0.8206446170806885,
|
| 880 |
+
"step": 122
|
| 881 |
+
},
|
| 882 |
+
{
|
| 883 |
+
"epoch": 0.37600305693542224,
|
| 884 |
+
"grad_norm": 0.1355939507484436,
|
| 885 |
+
"learning_rate": 1.9558712652388932e-05,
|
| 886 |
+
"loss": 0.7648542523384094,
|
| 887 |
+
"step": 123
|
| 888 |
+
},
|
| 889 |
+
{
|
| 890 |
+
"epoch": 0.37905999235766147,
|
| 891 |
+
"grad_norm": 0.1229313388466835,
|
| 892 |
+
"learning_rate": 1.954293390567501e-05,
|
| 893 |
+
"loss": 0.8573335409164429,
|
| 894 |
+
"step": 124
|
| 895 |
+
},
|
| 896 |
+
{
|
| 897 |
+
"epoch": 0.38211692777990064,
|
| 898 |
+
"grad_norm": 0.11425124108791351,
|
| 899 |
+
"learning_rate": 1.9526884590848646e-05,
|
| 900 |
+
"loss": 0.7412531971931458,
|
| 901 |
+
"step": 125
|
| 902 |
+
},
|
| 903 |
+
{
|
| 904 |
+
"epoch": 0.38517386320213987,
|
| 905 |
+
"grad_norm": 0.12430041283369064,
|
| 906 |
+
"learning_rate": 1.9510565162951538e-05,
|
| 907 |
+
"loss": 0.8098543882369995,
|
| 908 |
+
"step": 126
|
| 909 |
+
},
|
| 910 |
+
{
|
| 911 |
+
"epoch": 0.38823079862437904,
|
| 912 |
+
"grad_norm": 0.12492368370294571,
|
| 913 |
+
"learning_rate": 1.9493976084683814e-05,
|
| 914 |
+
"loss": 0.8814713954925537,
|
| 915 |
+
"step": 127
|
| 916 |
+
},
|
| 917 |
+
{
|
| 918 |
+
"epoch": 0.39128773404661826,
|
| 919 |
+
"grad_norm": 0.14428824186325073,
|
| 920 |
+
"learning_rate": 1.9477117826390934e-05,
|
| 921 |
+
"loss": 0.8231979608535767,
|
| 922 |
+
"step": 128
|
| 923 |
+
},
|
| 924 |
+
{
|
| 925 |
+
"epoch": 0.3943446694688575,
|
| 926 |
+
"grad_norm": 0.12010085582733154,
|
| 927 |
+
"learning_rate": 1.9459990866050337e-05,
|
| 928 |
+
"loss": 0.7015627026557922,
|
| 929 |
+
"step": 129
|
| 930 |
+
},
|
| 931 |
+
{
|
| 932 |
+
"epoch": 0.39740160489109666,
|
| 933 |
+
"grad_norm": 0.11819776892662048,
|
| 934 |
+
"learning_rate": 1.9442595689257898e-05,
|
| 935 |
+
"loss": 0.8086729645729065,
|
| 936 |
+
"step": 130
|
| 937 |
+
},
|
| 938 |
+
{
|
| 939 |
+
"epoch": 0.4004585403133359,
|
| 940 |
+
"grad_norm": 0.12211033701896667,
|
| 941 |
+
"learning_rate": 1.9424932789214158e-05,
|
| 942 |
+
"loss": 0.8234002590179443,
|
| 943 |
+
"step": 131
|
| 944 |
+
},
|
| 945 |
+
{
|
| 946 |
+
"epoch": 0.4035154757355751,
|
| 947 |
+
"grad_norm": 0.14926476776599884,
|
| 948 |
+
"learning_rate": 1.9407002666710334e-05,
|
| 949 |
+
"loss": 0.874608039855957,
|
| 950 |
+
"step": 132
|
| 951 |
+
},
|
| 952 |
+
{
|
| 953 |
+
"epoch": 0.4065724111578143,
|
| 954 |
+
"grad_norm": 0.13012923300266266,
|
| 955 |
+
"learning_rate": 1.9388805830114132e-05,
|
| 956 |
+
"loss": 0.8491607904434204,
|
| 957 |
+
"step": 133
|
| 958 |
+
},
|
| 959 |
+
{
|
| 960 |
+
"epoch": 0.4096293465800535,
|
| 961 |
+
"grad_norm": 0.12012261897325516,
|
| 962 |
+
"learning_rate": 1.937034279535533e-05,
|
| 963 |
+
"loss": 0.7269159555435181,
|
| 964 |
+
"step": 134
|
| 965 |
+
},
|
| 966 |
+
{
|
| 967 |
+
"epoch": 0.4126862820022927,
|
| 968 |
+
"grad_norm": 0.15302567183971405,
|
| 969 |
+
"learning_rate": 1.9351614085911134e-05,
|
| 970 |
+
"loss": 0.8560839891433716,
|
| 971 |
+
"step": 135
|
| 972 |
+
},
|
| 973 |
+
{
|
| 974 |
+
"epoch": 0.4157432174245319,
|
| 975 |
+
"grad_norm": 0.12234190106391907,
|
| 976 |
+
"learning_rate": 1.933262023279137e-05,
|
| 977 |
+
"loss": 0.8211904764175415,
|
| 978 |
+
"step": 136
|
| 979 |
+
},
|
| 980 |
+
{
|
| 981 |
+
"epoch": 0.41880015284677113,
|
| 982 |
+
"grad_norm": 0.14427296817302704,
|
| 983 |
+
"learning_rate": 1.9313361774523387e-05,
|
| 984 |
+
"loss": 0.8500057458877563,
|
| 985 |
+
"step": 137
|
| 986 |
+
},
|
| 987 |
+
{
|
| 988 |
+
"epoch": 0.4218570882690103,
|
| 989 |
+
"grad_norm": 0.1314094066619873,
|
| 990 |
+
"learning_rate": 1.929383925713682e-05,
|
| 991 |
+
"loss": 0.7589091658592224,
|
| 992 |
+
"step": 138
|
| 993 |
+
},
|
| 994 |
+
{
|
| 995 |
+
"epoch": 0.42491402369124953,
|
| 996 |
+
"grad_norm": 0.1576734483242035,
|
| 997 |
+
"learning_rate": 1.92740532341481e-05,
|
| 998 |
+
"loss": 0.7581073641777039,
|
| 999 |
+
"step": 139
|
| 1000 |
+
},
|
| 1001 |
+
{
|
| 1002 |
+
"epoch": 0.4279709591134887,
|
| 1003 |
+
"grad_norm": 0.15788713097572327,
|
| 1004 |
+
"learning_rate": 1.925400426654475e-05,
|
| 1005 |
+
"loss": 0.809050440788269,
|
| 1006 |
+
"step": 140
|
| 1007 |
+
},
|
| 1008 |
+
{
|
| 1009 |
+
"epoch": 0.43102789453572793,
|
| 1010 |
+
"grad_norm": 0.13364559412002563,
|
| 1011 |
+
"learning_rate": 1.9233692922769497e-05,
|
| 1012 |
+
"loss": 0.7990086078643799,
|
| 1013 |
+
"step": 141
|
| 1014 |
+
},
|
| 1015 |
+
{
|
| 1016 |
+
"epoch": 0.43408482995796716,
|
| 1017 |
+
"grad_norm": 0.14786465466022491,
|
| 1018 |
+
"learning_rate": 1.921311977870413e-05,
|
| 1019 |
+
"loss": 0.8675815463066101,
|
| 1020 |
+
"step": 142
|
| 1021 |
+
},
|
| 1022 |
+
{
|
| 1023 |
+
"epoch": 0.4371417653802063,
|
| 1024 |
+
"grad_norm": 0.14621882140636444,
|
| 1025 |
+
"learning_rate": 1.9192285417653208e-05,
|
| 1026 |
+
"loss": 0.8713765740394592,
|
| 1027 |
+
"step": 143
|
| 1028 |
+
},
|
| 1029 |
+
{
|
| 1030 |
+
"epoch": 0.44019870080244555,
|
| 1031 |
+
"grad_norm": 0.12874048948287964,
|
| 1032 |
+
"learning_rate": 1.917119043032749e-05,
|
| 1033 |
+
"loss": 0.7361871004104614,
|
| 1034 |
+
"step": 144
|
| 1035 |
+
},
|
| 1036 |
+
{
|
| 1037 |
+
"epoch": 0.4432556362246848,
|
| 1038 |
+
"grad_norm": 0.12183775007724762,
|
| 1039 |
+
"learning_rate": 1.9149835414827193e-05,
|
| 1040 |
+
"loss": 0.7311941385269165,
|
| 1041 |
+
"step": 145
|
| 1042 |
+
},
|
| 1043 |
+
{
|
| 1044 |
+
"epoch": 0.44631257164692395,
|
| 1045 |
+
"grad_norm": 0.1397160291671753,
|
| 1046 |
+
"learning_rate": 1.912822097662505e-05,
|
| 1047 |
+
"loss": 0.8189159035682678,
|
| 1048 |
+
"step": 146
|
| 1049 |
+
},
|
| 1050 |
+
{
|
| 1051 |
+
"epoch": 0.4493695070691632,
|
| 1052 |
+
"grad_norm": 0.1458273082971573,
|
| 1053 |
+
"learning_rate": 1.9106347728549134e-05,
|
| 1054 |
+
"loss": 0.8288135528564453,
|
| 1055 |
+
"step": 147
|
| 1056 |
+
},
|
| 1057 |
+
{
|
| 1058 |
+
"epoch": 0.45242644249140235,
|
| 1059 |
+
"grad_norm": 0.16898781061172485,
|
| 1060 |
+
"learning_rate": 1.908421629076547e-05,
|
| 1061 |
+
"loss": 0.7878037095069885,
|
| 1062 |
+
"step": 148
|
| 1063 |
+
},
|
| 1064 |
+
{
|
| 1065 |
+
"epoch": 0.4554833779136416,
|
| 1066 |
+
"grad_norm": 0.1638474315404892,
|
| 1067 |
+
"learning_rate": 1.9061827290760466e-05,
|
| 1068 |
+
"loss": 0.8059952259063721,
|
| 1069 |
+
"step": 149
|
| 1070 |
+
},
|
| 1071 |
+
{
|
| 1072 |
+
"epoch": 0.4585403133358808,
|
| 1073 |
+
"grad_norm": 0.14130882918834686,
|
| 1074 |
+
"learning_rate": 1.9039181363323128e-05,
|
| 1075 |
+
"loss": 0.7346830368041992,
|
| 1076 |
+
"step": 150
|
| 1077 |
+
},
|
| 1078 |
+
{
|
| 1079 |
+
"epoch": 0.4585403133358808,
|
| 1080 |
+
"eval_loss": 0.7979016900062561,
|
| 1081 |
+
"eval_runtime": 828.6295,
|
| 1082 |
+
"eval_samples_per_second": 0.728,
|
| 1083 |
+
"eval_steps_per_second": 0.728,
|
| 1084 |
+
"step": 150
|
| 1085 |
+
},
|
| 1086 |
+
{
|
| 1087 |
+
"epoch": 0.46159724875811997,
|
| 1088 |
+
"grad_norm": 0.14427433907985687,
|
| 1089 |
+
"learning_rate": 1.9016279150527044e-05,
|
| 1090 |
+
"loss": 0.7583403587341309,
|
| 1091 |
+
"step": 151
|
| 1092 |
+
},
|
| 1093 |
+
{
|
| 1094 |
+
"epoch": 0.4646541841803592,
|
| 1095 |
+
"grad_norm": 0.1515798568725586,
|
| 1096 |
+
"learning_rate": 1.8993121301712194e-05,
|
| 1097 |
+
"loss": 0.7908380031585693,
|
| 1098 |
+
"step": 152
|
| 1099 |
+
},
|
| 1100 |
+
{
|
| 1101 |
+
"epoch": 0.46771111960259837,
|
| 1102 |
+
"grad_norm": 0.14444488286972046,
|
| 1103 |
+
"learning_rate": 1.896970847346653e-05,
|
| 1104 |
+
"loss": 0.7916130423545837,
|
| 1105 |
+
"step": 153
|
| 1106 |
+
},
|
| 1107 |
+
{
|
| 1108 |
+
"epoch": 0.4707680550248376,
|
| 1109 |
+
"grad_norm": 0.1460912823677063,
|
| 1110 |
+
"learning_rate": 1.8946041329607364e-05,
|
| 1111 |
+
"loss": 0.7750643491744995,
|
| 1112 |
+
"step": 154
|
| 1113 |
+
},
|
| 1114 |
+
{
|
| 1115 |
+
"epoch": 0.4738249904470768,
|
| 1116 |
+
"grad_norm": 0.13896244764328003,
|
| 1117 |
+
"learning_rate": 1.892212054116255e-05,
|
| 1118 |
+
"loss": 0.8059666156768799,
|
| 1119 |
+
"step": 155
|
| 1120 |
+
},
|
| 1121 |
+
{
|
| 1122 |
+
"epoch": 0.476881925869316,
|
| 1123 |
+
"grad_norm": 0.16133630275726318,
|
| 1124 |
+
"learning_rate": 1.889794678635145e-05,
|
| 1125 |
+
"loss": 0.8327827453613281,
|
| 1126 |
+
"step": 156
|
| 1127 |
+
},
|
| 1128 |
+
{
|
| 1129 |
+
"epoch": 0.4799388612915552,
|
| 1130 |
+
"grad_norm": 0.1474636346101761,
|
| 1131 |
+
"learning_rate": 1.8873520750565716e-05,
|
| 1132 |
+
"loss": 0.8498989343643188,
|
| 1133 |
+
"step": 157
|
| 1134 |
+
},
|
| 1135 |
+
{
|
| 1136 |
+
"epoch": 0.48299579671379445,
|
| 1137 |
+
"grad_norm": 0.17222349345684052,
|
| 1138 |
+
"learning_rate": 1.884884312634985e-05,
|
| 1139 |
+
"loss": 0.7750177979469299,
|
| 1140 |
+
"step": 158
|
| 1141 |
+
},
|
| 1142 |
+
{
|
| 1143 |
+
"epoch": 0.4860527321360336,
|
| 1144 |
+
"grad_norm": 0.15558090806007385,
|
| 1145 |
+
"learning_rate": 1.8823914613381568e-05,
|
| 1146 |
+
"loss": 0.7326169013977051,
|
| 1147 |
+
"step": 159
|
| 1148 |
+
},
|
| 1149 |
+
{
|
| 1150 |
+
"epoch": 0.48910966755827284,
|
| 1151 |
+
"grad_norm": 0.13808321952819824,
|
| 1152 |
+
"learning_rate": 1.8798735918451963e-05,
|
| 1153 |
+
"loss": 0.8308709859848022,
|
| 1154 |
+
"step": 160
|
| 1155 |
+
},
|
| 1156 |
+
{
|
| 1157 |
+
"epoch": 0.492166602980512,
|
| 1158 |
+
"grad_norm": 0.1761898398399353,
|
| 1159 |
+
"learning_rate": 1.8773307755445468e-05,
|
| 1160 |
+
"loss": 0.7805465459823608,
|
| 1161 |
+
"step": 161
|
| 1162 |
+
},
|
| 1163 |
+
{
|
| 1164 |
+
"epoch": 0.49522353840275124,
|
| 1165 |
+
"grad_norm": 0.160477414727211,
|
| 1166 |
+
"learning_rate": 1.874763084531961e-05,
|
| 1167 |
+
"loss": 0.8538846969604492,
|
| 1168 |
+
"step": 162
|
| 1169 |
+
},
|
| 1170 |
+
{
|
| 1171 |
+
"epoch": 0.49828047382499047,
|
| 1172 |
+
"grad_norm": 0.15238745510578156,
|
| 1173 |
+
"learning_rate": 1.872170591608459e-05,
|
| 1174 |
+
"loss": 0.8801217675209045,
|
| 1175 |
+
"step": 163
|
| 1176 |
+
},
|
| 1177 |
+
{
|
| 1178 |
+
"epoch": 0.5013374092472297,
|
| 1179 |
+
"grad_norm": 0.1567080318927765,
|
| 1180 |
+
"learning_rate": 1.86955337027826e-05,
|
| 1181 |
+
"loss": 0.7205259799957275,
|
| 1182 |
+
"step": 164
|
| 1183 |
+
},
|
| 1184 |
+
{
|
| 1185 |
+
"epoch": 0.5043943446694689,
|
| 1186 |
+
"grad_norm": 0.13637851178646088,
|
| 1187 |
+
"learning_rate": 1.866911494746702e-05,
|
| 1188 |
+
"loss": 0.7636491656303406,
|
| 1189 |
+
"step": 165
|
| 1190 |
+
},
|
| 1191 |
+
{
|
| 1192 |
+
"epoch": 0.507451280091708,
|
| 1193 |
+
"grad_norm": 0.15563489496707916,
|
| 1194 |
+
"learning_rate": 1.8642450399181373e-05,
|
| 1195 |
+
"loss": 0.7982497811317444,
|
| 1196 |
+
"step": 166
|
| 1197 |
+
},
|
| 1198 |
+
{
|
| 1199 |
+
"epoch": 0.5105082155139473,
|
| 1200 |
+
"grad_norm": 0.15503396093845367,
|
| 1201 |
+
"learning_rate": 1.8615540813938063e-05,
|
| 1202 |
+
"loss": 0.8737778067588806,
|
| 1203 |
+
"step": 167
|
| 1204 |
+
},
|
| 1205 |
+
{
|
| 1206 |
+
"epoch": 0.5135651509361865,
|
| 1207 |
+
"grad_norm": 0.16095557808876038,
|
| 1208 |
+
"learning_rate": 1.8588386954696972e-05,
|
| 1209 |
+
"loss": 0.796604335308075,
|
| 1210 |
+
"step": 168
|
| 1211 |
+
},
|
| 1212 |
+
{
|
| 1213 |
+
"epoch": 0.5166220863584257,
|
| 1214 |
+
"grad_norm": 0.1713593453168869,
|
| 1215 |
+
"learning_rate": 1.856098959134381e-05,
|
| 1216 |
+
"loss": 0.8247392177581787,
|
| 1217 |
+
"step": 169
|
| 1218 |
+
},
|
| 1219 |
+
{
|
| 1220 |
+
"epoch": 0.5196790217806648,
|
| 1221 |
+
"grad_norm": 0.18239113688468933,
|
| 1222 |
+
"learning_rate": 1.8533349500668295e-05,
|
| 1223 |
+
"loss": 0.7838484644889832,
|
| 1224 |
+
"step": 170
|
| 1225 |
+
},
|
| 1226 |
+
{
|
| 1227 |
+
"epoch": 0.5227359572029041,
|
| 1228 |
+
"grad_norm": 0.15745767951011658,
|
| 1229 |
+
"learning_rate": 1.850546746634211e-05,
|
| 1230 |
+
"loss": 0.7856907248497009,
|
| 1231 |
+
"step": 171
|
| 1232 |
+
},
|
| 1233 |
+
{
|
| 1234 |
+
"epoch": 0.5257928926251433,
|
| 1235 |
+
"grad_norm": 0.16820666193962097,
|
| 1236 |
+
"learning_rate": 1.8477344278896708e-05,
|
| 1237 |
+
"loss": 0.7829679846763611,
|
| 1238 |
+
"step": 172
|
| 1239 |
+
},
|
| 1240 |
+
{
|
| 1241 |
+
"epoch": 0.5288498280473825,
|
| 1242 |
+
"grad_norm": 0.16975544393062592,
|
| 1243 |
+
"learning_rate": 1.84489807357009e-05,
|
| 1244 |
+
"loss": 0.7374375462532043,
|
| 1245 |
+
"step": 173
|
| 1246 |
+
},
|
| 1247 |
+
{
|
| 1248 |
+
"epoch": 0.5319067634696217,
|
| 1249 |
+
"grad_norm": 0.167228102684021,
|
| 1250 |
+
"learning_rate": 1.8420377640938204e-05,
|
| 1251 |
+
"loss": 0.712837815284729,
|
| 1252 |
+
"step": 174
|
| 1253 |
+
},
|
| 1254 |
+
{
|
| 1255 |
+
"epoch": 0.5349636988918609,
|
| 1256 |
+
"grad_norm": 0.15955154597759247,
|
| 1257 |
+
"learning_rate": 1.839153580558411e-05,
|
| 1258 |
+
"loss": 0.7645693421363831,
|
| 1259 |
+
"step": 175
|
| 1260 |
+
},
|
| 1261 |
+
{
|
| 1262 |
+
"epoch": 0.5380206343141001,
|
| 1263 |
+
"grad_norm": 0.18378689885139465,
|
| 1264 |
+
"learning_rate": 1.8362456047383032e-05,
|
| 1265 |
+
"loss": 0.7974956631660461,
|
| 1266 |
+
"step": 176
|
| 1267 |
+
},
|
| 1268 |
+
{
|
| 1269 |
+
"epoch": 0.5410775697363394,
|
| 1270 |
+
"grad_norm": 0.15777672827243805,
|
| 1271 |
+
"learning_rate": 1.833313919082515e-05,
|
| 1272 |
+
"loss": 0.8957571983337402,
|
| 1273 |
+
"step": 177
|
| 1274 |
+
},
|
| 1275 |
+
{
|
| 1276 |
+
"epoch": 0.5441345051585785,
|
| 1277 |
+
"grad_norm": 0.15292386710643768,
|
| 1278 |
+
"learning_rate": 1.8303586067123028e-05,
|
| 1279 |
+
"loss": 0.7635619044303894,
|
| 1280 |
+
"step": 178
|
| 1281 |
+
},
|
| 1282 |
+
{
|
| 1283 |
+
"epoch": 0.5471914405808177,
|
| 1284 |
+
"grad_norm": 0.178152397274971,
|
| 1285 |
+
"learning_rate": 1.8273797514188043e-05,
|
| 1286 |
+
"loss": 0.7849246263504028,
|
| 1287 |
+
"step": 179
|
| 1288 |
+
},
|
| 1289 |
+
{
|
| 1290 |
+
"epoch": 0.550248376003057,
|
| 1291 |
+
"grad_norm": 0.15916013717651367,
|
| 1292 |
+
"learning_rate": 1.824377437660663e-05,
|
| 1293 |
+
"loss": 0.6975343227386475,
|
| 1294 |
+
"step": 180
|
| 1295 |
+
},
|
| 1296 |
+
{
|
| 1297 |
+
"epoch": 0.5533053114252962,
|
| 1298 |
+
"grad_norm": 0.18172231316566467,
|
| 1299 |
+
"learning_rate": 1.821351750561634e-05,
|
| 1300 |
+
"loss": 0.7675164341926575,
|
| 1301 |
+
"step": 181
|
| 1302 |
+
},
|
| 1303 |
+
{
|
| 1304 |
+
"epoch": 0.5563622468475353,
|
| 1305 |
+
"grad_norm": 0.16241903603076935,
|
| 1306 |
+
"learning_rate": 1.818302775908169e-05,
|
| 1307 |
+
"loss": 0.7950343489646912,
|
| 1308 |
+
"step": 182
|
| 1309 |
+
},
|
| 1310 |
+
{
|
| 1311 |
+
"epoch": 0.5594191822697746,
|
| 1312 |
+
"grad_norm": 0.18727579712867737,
|
| 1313 |
+
"learning_rate": 1.8152306001469875e-05,
|
| 1314 |
+
"loss": 0.787315309047699,
|
| 1315 |
+
"step": 183
|
| 1316 |
+
},
|
| 1317 |
+
{
|
| 1318 |
+
"epoch": 0.5624761176920138,
|
| 1319 |
+
"grad_norm": 0.1627933531999588,
|
| 1320 |
+
"learning_rate": 1.8121353103826213e-05,
|
| 1321 |
+
"loss": 0.7141211628913879,
|
| 1322 |
+
"step": 184
|
| 1323 |
+
},
|
| 1324 |
+
{
|
| 1325 |
+
"epoch": 0.565533053114253,
|
| 1326 |
+
"grad_norm": 0.4369247555732727,
|
| 1327 |
+
"learning_rate": 1.8090169943749477e-05,
|
| 1328 |
+
"loss": 0.8476608395576477,
|
| 1329 |
+
"step": 185
|
| 1330 |
+
},
|
| 1331 |
+
{
|
| 1332 |
+
"epoch": 0.5685899885364921,
|
| 1333 |
+
"grad_norm": 0.16494786739349365,
|
| 1334 |
+
"learning_rate": 1.8058757405367003e-05,
|
| 1335 |
+
"loss": 0.720562756061554,
|
| 1336 |
+
"step": 186
|
| 1337 |
+
},
|
| 1338 |
+
{
|
| 1339 |
+
"epoch": 0.5716469239587314,
|
| 1340 |
+
"grad_norm": 0.175015389919281,
|
| 1341 |
+
"learning_rate": 1.8027116379309637e-05,
|
| 1342 |
+
"loss": 0.7589252591133118,
|
| 1343 |
+
"step": 187
|
| 1344 |
+
},
|
| 1345 |
+
{
|
| 1346 |
+
"epoch": 0.5747038593809706,
|
| 1347 |
+
"grad_norm": 0.1769978553056717,
|
| 1348 |
+
"learning_rate": 1.799524776268646e-05,
|
| 1349 |
+
"loss": 0.7644155621528625,
|
| 1350 |
+
"step": 188
|
| 1351 |
+
},
|
| 1352 |
+
{
|
| 1353 |
+
"epoch": 0.5777607948032097,
|
| 1354 |
+
"grad_norm": 0.18481792509555817,
|
| 1355 |
+
"learning_rate": 1.796315245905936e-05,
|
| 1356 |
+
"loss": 0.7885835766792297,
|
| 1357 |
+
"step": 189
|
| 1358 |
+
},
|
| 1359 |
+
{
|
| 1360 |
+
"epoch": 0.580817730225449,
|
| 1361 |
+
"grad_norm": 0.1668689250946045,
|
| 1362 |
+
"learning_rate": 1.7930831378417437e-05,
|
| 1363 |
+
"loss": 0.7377231121063232,
|
| 1364 |
+
"step": 190
|
| 1365 |
+
},
|
| 1366 |
+
{
|
| 1367 |
+
"epoch": 0.5838746656476882,
|
| 1368 |
+
"grad_norm": 0.178734689950943,
|
| 1369 |
+
"learning_rate": 1.7898285437151163e-05,
|
| 1370 |
+
"loss": 0.7388894557952881,
|
| 1371 |
+
"step": 191
|
| 1372 |
+
},
|
| 1373 |
+
{
|
| 1374 |
+
"epoch": 0.5869316010699274,
|
| 1375 |
+
"grad_norm": 0.1740068644285202,
|
| 1376 |
+
"learning_rate": 1.786551555802643e-05,
|
| 1377 |
+
"loss": 0.8209859728813171,
|
| 1378 |
+
"step": 192
|
| 1379 |
+
},
|
| 1380 |
+
{
|
| 1381 |
+
"epoch": 0.5899885364921666,
|
| 1382 |
+
"grad_norm": 0.19211041927337646,
|
| 1383 |
+
"learning_rate": 1.783252267015837e-05,
|
| 1384 |
+
"loss": 0.7305737733840942,
|
| 1385 |
+
"step": 193
|
| 1386 |
+
},
|
| 1387 |
+
{
|
| 1388 |
+
"epoch": 0.5930454719144058,
|
| 1389 |
+
"grad_norm": 0.16644936800003052,
|
| 1390 |
+
"learning_rate": 1.779930770898503e-05,
|
| 1391 |
+
"loss": 0.7760804891586304,
|
| 1392 |
+
"step": 194
|
| 1393 |
+
},
|
| 1394 |
+
{
|
| 1395 |
+
"epoch": 0.596102407336645,
|
| 1396 |
+
"grad_norm": 0.1773686707019806,
|
| 1397 |
+
"learning_rate": 1.776587161624083e-05,
|
| 1398 |
+
"loss": 0.7879236936569214,
|
| 1399 |
+
"step": 195
|
| 1400 |
+
},
|
| 1401 |
+
{
|
| 1402 |
+
"epoch": 0.5991593427588843,
|
| 1403 |
+
"grad_norm": 0.17508819699287415,
|
| 1404 |
+
"learning_rate": 1.7732215339929874e-05,
|
| 1405 |
+
"loss": 0.7307407259941101,
|
| 1406 |
+
"step": 196
|
| 1407 |
+
},
|
| 1408 |
+
{
|
| 1409 |
+
"epoch": 0.6022162781811234,
|
| 1410 |
+
"grad_norm": 0.17211101949214935,
|
| 1411 |
+
"learning_rate": 1.7698339834299064e-05,
|
| 1412 |
+
"loss": 0.7293214797973633,
|
| 1413 |
+
"step": 197
|
| 1414 |
+
},
|
| 1415 |
+
{
|
| 1416 |
+
"epoch": 0.6052732136033626,
|
| 1417 |
+
"grad_norm": 0.18085215985774994,
|
| 1418 |
+
"learning_rate": 1.7664246059811058e-05,
|
| 1419 |
+
"loss": 0.763083279132843,
|
| 1420 |
+
"step": 198
|
| 1421 |
+
},
|
| 1422 |
+
{
|
| 1423 |
+
"epoch": 0.6083301490256018,
|
| 1424 |
+
"grad_norm": 0.20243075489997864,
|
| 1425 |
+
"learning_rate": 1.7629934983117025e-05,
|
| 1426 |
+
"loss": 0.7372676134109497,
|
| 1427 |
+
"step": 199
|
| 1428 |
+
},
|
| 1429 |
+
{
|
| 1430 |
+
"epoch": 0.6113870844478411,
|
| 1431 |
+
"grad_norm": 0.18152795732021332,
|
| 1432 |
+
"learning_rate": 1.759540757702924e-05,
|
| 1433 |
+
"loss": 0.7121898531913757,
|
| 1434 |
+
"step": 200
|
| 1435 |
+
},
|
| 1436 |
+
{
|
| 1437 |
+
"epoch": 0.6113870844478411,
|
| 1438 |
+
"eval_loss": 0.7551760673522949,
|
| 1439 |
+
"eval_runtime": 900.209,
|
| 1440 |
+
"eval_samples_per_second": 0.67,
|
| 1441 |
+
"eval_steps_per_second": 0.67,
|
| 1442 |
+
"step": 200
|
| 1443 |
+
}
|
| 1444 |
+
],
|
| 1445 |
+
"logging_steps": 1,
|
| 1446 |
+
"max_steps": 656,
|
| 1447 |
+
"num_input_tokens_seen": 0,
|
| 1448 |
+
"num_train_epochs": 2,
|
| 1449 |
+
"save_steps": 100,
|
| 1450 |
+
"stateful_callbacks": {
|
| 1451 |
+
"TrainerControl": {
|
| 1452 |
+
"args": {
|
| 1453 |
+
"should_epoch_stop": false,
|
| 1454 |
+
"should_evaluate": false,
|
| 1455 |
+
"should_log": false,
|
| 1456 |
+
"should_save": true,
|
| 1457 |
+
"should_training_stop": false
|
| 1458 |
+
},
|
| 1459 |
+
"attributes": {}
|
| 1460 |
+
}
|
| 1461 |
+
},
|
| 1462 |
+
"total_flos": 1.1042918995329024e+18,
|
| 1463 |
+
"train_batch_size": 1,
|
| 1464 |
+
"trial_name": null,
|
| 1465 |
+
"trial_params": null
|
| 1466 |
+
}
|
cpt_qwen_14B/checkpoints/checkpoint-200/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d6a8e308e47eb936f678712445b19ddc52638f354c37c813ecaa432f69120a2e
|
| 3 |
+
size 5201
|
cpt_qwen_14B/checkpoints/checkpoint-300/README.md
ADDED
|
@@ -0,0 +1,207 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: /workspace/Models/Qwen2.5-Coder-14B
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:/workspace/Models/Qwen2.5-Coder-14B
|
| 7 |
+
- lora
|
| 8 |
+
- transformers
|
| 9 |
+
---
|
| 10 |
+
|
| 11 |
+
# Model Card for Model ID
|
| 12 |
+
|
| 13 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 14 |
+
|
| 15 |
+
|
| 16 |
+
|
| 17 |
+
## Model Details
|
| 18 |
+
|
| 19 |
+
### Model Description
|
| 20 |
+
|
| 21 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 22 |
+
|
| 23 |
+
|
| 24 |
+
|
| 25 |
+
- **Developed by:** [More Information Needed]
|
| 26 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 27 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 28 |
+
- **Model type:** [More Information Needed]
|
| 29 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 30 |
+
- **License:** [More Information Needed]
|
| 31 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 32 |
+
|
| 33 |
+
### Model Sources [optional]
|
| 34 |
+
|
| 35 |
+
<!-- Provide the basic links for the model. -->
|
| 36 |
+
|
| 37 |
+
- **Repository:** [More Information Needed]
|
| 38 |
+
- **Paper [optional]:** [More Information Needed]
|
| 39 |
+
- **Demo [optional]:** [More Information Needed]
|
| 40 |
+
|
| 41 |
+
## Uses
|
| 42 |
+
|
| 43 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 44 |
+
|
| 45 |
+
### Direct Use
|
| 46 |
+
|
| 47 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 48 |
+
|
| 49 |
+
[More Information Needed]
|
| 50 |
+
|
| 51 |
+
### Downstream Use [optional]
|
| 52 |
+
|
| 53 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 54 |
+
|
| 55 |
+
[More Information Needed]
|
| 56 |
+
|
| 57 |
+
### Out-of-Scope Use
|
| 58 |
+
|
| 59 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 60 |
+
|
| 61 |
+
[More Information Needed]
|
| 62 |
+
|
| 63 |
+
## Bias, Risks, and Limitations
|
| 64 |
+
|
| 65 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 66 |
+
|
| 67 |
+
[More Information Needed]
|
| 68 |
+
|
| 69 |
+
### Recommendations
|
| 70 |
+
|
| 71 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 72 |
+
|
| 73 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 74 |
+
|
| 75 |
+
## How to Get Started with the Model
|
| 76 |
+
|
| 77 |
+
Use the code below to get started with the model.
|
| 78 |
+
|
| 79 |
+
[More Information Needed]
|
| 80 |
+
|
| 81 |
+
## Training Details
|
| 82 |
+
|
| 83 |
+
### Training Data
|
| 84 |
+
|
| 85 |
+
<!-- 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. -->
|
| 86 |
+
|
| 87 |
+
[More Information Needed]
|
| 88 |
+
|
| 89 |
+
### Training Procedure
|
| 90 |
+
|
| 91 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 92 |
+
|
| 93 |
+
#### Preprocessing [optional]
|
| 94 |
+
|
| 95 |
+
[More Information Needed]
|
| 96 |
+
|
| 97 |
+
|
| 98 |
+
#### Training Hyperparameters
|
| 99 |
+
|
| 100 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 101 |
+
|
| 102 |
+
#### Speeds, Sizes, Times [optional]
|
| 103 |
+
|
| 104 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 105 |
+
|
| 106 |
+
[More Information Needed]
|
| 107 |
+
|
| 108 |
+
## Evaluation
|
| 109 |
+
|
| 110 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 111 |
+
|
| 112 |
+
### Testing Data, Factors & Metrics
|
| 113 |
+
|
| 114 |
+
#### Testing Data
|
| 115 |
+
|
| 116 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 117 |
+
|
| 118 |
+
[More Information Needed]
|
| 119 |
+
|
| 120 |
+
#### Factors
|
| 121 |
+
|
| 122 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 123 |
+
|
| 124 |
+
[More Information Needed]
|
| 125 |
+
|
| 126 |
+
#### Metrics
|
| 127 |
+
|
| 128 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 129 |
+
|
| 130 |
+
[More Information Needed]
|
| 131 |
+
|
| 132 |
+
### Results
|
| 133 |
+
|
| 134 |
+
[More Information Needed]
|
| 135 |
+
|
| 136 |
+
#### Summary
|
| 137 |
+
|
| 138 |
+
|
| 139 |
+
|
| 140 |
+
## Model Examination [optional]
|
| 141 |
+
|
| 142 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 143 |
+
|
| 144 |
+
[More Information Needed]
|
| 145 |
+
|
| 146 |
+
## Environmental Impact
|
| 147 |
+
|
| 148 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 149 |
+
|
| 150 |
+
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).
|
| 151 |
+
|
| 152 |
+
- **Hardware Type:** [More Information Needed]
|
| 153 |
+
- **Hours used:** [More Information Needed]
|
| 154 |
+
- **Cloud Provider:** [More Information Needed]
|
| 155 |
+
- **Compute Region:** [More Information Needed]
|
| 156 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 157 |
+
|
| 158 |
+
## Technical Specifications [optional]
|
| 159 |
+
|
| 160 |
+
### Model Architecture and Objective
|
| 161 |
+
|
| 162 |
+
[More Information Needed]
|
| 163 |
+
|
| 164 |
+
### Compute Infrastructure
|
| 165 |
+
|
| 166 |
+
[More Information Needed]
|
| 167 |
+
|
| 168 |
+
#### Hardware
|
| 169 |
+
|
| 170 |
+
[More Information Needed]
|
| 171 |
+
|
| 172 |
+
#### Software
|
| 173 |
+
|
| 174 |
+
[More Information Needed]
|
| 175 |
+
|
| 176 |
+
## Citation [optional]
|
| 177 |
+
|
| 178 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 179 |
+
|
| 180 |
+
**BibTeX:**
|
| 181 |
+
|
| 182 |
+
[More Information Needed]
|
| 183 |
+
|
| 184 |
+
**APA:**
|
| 185 |
+
|
| 186 |
+
[More Information Needed]
|
| 187 |
+
|
| 188 |
+
## Glossary [optional]
|
| 189 |
+
|
| 190 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 191 |
+
|
| 192 |
+
[More Information Needed]
|
| 193 |
+
|
| 194 |
+
## More Information [optional]
|
| 195 |
+
|
| 196 |
+
[More Information Needed]
|
| 197 |
+
|
| 198 |
+
## Model Card Authors [optional]
|
| 199 |
+
|
| 200 |
+
[More Information Needed]
|
| 201 |
+
|
| 202 |
+
## Model Card Contact
|
| 203 |
+
|
| 204 |
+
[More Information Needed]
|
| 205 |
+
### Framework versions
|
| 206 |
+
|
| 207 |
+
- PEFT 0.18.0
|
cpt_qwen_14B/checkpoints/checkpoint-300/adapter_config.json
ADDED
|
@@ -0,0 +1,43 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
+
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "/workspace/Models/Qwen2.5-Coder-14B",
|
| 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": 64,
|
| 20 |
+
"lora_bias": false,
|
| 21 |
+
"lora_dropout": 0.05,
|
| 22 |
+
"megatron_config": null,
|
| 23 |
+
"megatron_core": "megatron.core",
|
| 24 |
+
"modules_to_save": null,
|
| 25 |
+
"peft_type": "LORA",
|
| 26 |
+
"peft_version": "0.18.0",
|
| 27 |
+
"qalora_group_size": 16,
|
| 28 |
+
"r": 32,
|
| 29 |
+
"rank_pattern": {},
|
| 30 |
+
"revision": null,
|
| 31 |
+
"target_modules": [
|
| 32 |
+
"v_proj",
|
| 33 |
+
"q_proj",
|
| 34 |
+
"o_proj",
|
| 35 |
+
"k_proj"
|
| 36 |
+
],
|
| 37 |
+
"target_parameters": null,
|
| 38 |
+
"task_type": "CAUSAL_LM",
|
| 39 |
+
"trainable_token_indices": null,
|
| 40 |
+
"use_dora": false,
|
| 41 |
+
"use_qalora": false,
|
| 42 |
+
"use_rslora": false
|
| 43 |
+
}
|
cpt_qwen_14B/checkpoints/checkpoint-300/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7c370210851f30b5de992e131f4276973cf2b5feb6969fb7638ee7128b6b9674
|
| 3 |
+
size 201378736
|
cpt_qwen_14B/checkpoints/checkpoint-300/chat_template.jinja
ADDED
|
@@ -0,0 +1,54 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{%- if tools %}
|
| 2 |
+
{{- '<|im_start|>system\n' }}
|
| 3 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 4 |
+
{{- messages[0]['content'] }}
|
| 5 |
+
{%- else %}
|
| 6 |
+
{{- 'You are a helpful assistant.' }}
|
| 7 |
+
{%- endif %}
|
| 8 |
+
{{- "\n\n# 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>" }}
|
| 9 |
+
{%- for tool in tools %}
|
| 10 |
+
{{- "\n" }}
|
| 11 |
+
{{- tool | tojson }}
|
| 12 |
+
{%- endfor %}
|
| 13 |
+
{{- "\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" }}
|
| 14 |
+
{%- else %}
|
| 15 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 16 |
+
{{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
|
| 17 |
+
{%- else %}
|
| 18 |
+
{{- '<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n' }}
|
| 19 |
+
{%- endif %}
|
| 20 |
+
{%- endif %}
|
| 21 |
+
{%- for message in messages %}
|
| 22 |
+
{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
|
| 23 |
+
{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
|
| 24 |
+
{%- elif message.role == "assistant" %}
|
| 25 |
+
{{- '<|im_start|>' + message.role }}
|
| 26 |
+
{%- if message.content %}
|
| 27 |
+
{{- '\n' + message.content }}
|
| 28 |
+
{%- endif %}
|
| 29 |
+
{%- for tool_call in message.tool_calls %}
|
| 30 |
+
{%- if tool_call.function is defined %}
|
| 31 |
+
{%- set tool_call = tool_call.function %}
|
| 32 |
+
{%- endif %}
|
| 33 |
+
{{- '\n<tool_call>\n{"name": "' }}
|
| 34 |
+
{{- tool_call.name }}
|
| 35 |
+
{{- '", "arguments": ' }}
|
| 36 |
+
{{- tool_call.arguments | tojson }}
|
| 37 |
+
{{- '}\n</tool_call>' }}
|
| 38 |
+
{%- endfor %}
|
| 39 |
+
{{- '<|im_end|>\n' }}
|
| 40 |
+
{%- elif message.role == "tool" %}
|
| 41 |
+
{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
|
| 42 |
+
{{- '<|im_start|>user' }}
|
| 43 |
+
{%- endif %}
|
| 44 |
+
{{- '\n<tool_response>\n' }}
|
| 45 |
+
{{- message.content }}
|
| 46 |
+
{{- '\n</tool_response>' }}
|
| 47 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
| 48 |
+
{{- '<|im_end|>\n' }}
|
| 49 |
+
{%- endif %}
|
| 50 |
+
{%- endif %}
|
| 51 |
+
{%- endfor %}
|
| 52 |
+
{%- if add_generation_prompt %}
|
| 53 |
+
{{- '<|im_start|>assistant\n' }}
|
| 54 |
+
{%- endif %}
|
cpt_qwen_14B/checkpoints/checkpoint-300/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9ad69f3254fd02c5361123fcfc2dea4b905fca69152def982a3356e7b8afd4ed
|
| 3 |
+
size 102698855
|
cpt_qwen_14B/checkpoints/checkpoint-300/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:11c8108834e0d26f3ed6483fb470f43109ba4656c99180d6c32043763dd0a2df
|
| 3 |
+
size 14645
|
cpt_qwen_14B/checkpoints/checkpoint-300/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1dd5d6b57b6230ca0af9ae6da5d18fafe1b14b1ea92b2fe466790a371d1f85fe
|
| 3 |
+
size 1465
|
cpt_qwen_14B/checkpoints/checkpoint-300/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3fd169731d2cbde95e10bf356d66d5997fd885dd8dbb6fb4684da3f23b2585d8
|
| 3 |
+
size 11421892
|
cpt_qwen_14B/checkpoints/checkpoint-300/tokenizer_config.json
ADDED
|
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"backend": "tokenizers",
|
| 4 |
+
"bos_token": null,
|
| 5 |
+
"clean_up_tokenization_spaces": false,
|
| 6 |
+
"eos_token": "<|endoftext|>",
|
| 7 |
+
"errors": "replace",
|
| 8 |
+
"extra_special_tokens": [
|
| 9 |
+
"<|im_start|>",
|
| 10 |
+
"<|im_end|>",
|
| 11 |
+
"<|object_ref_start|>",
|
| 12 |
+
"<|object_ref_end|>",
|
| 13 |
+
"<|box_start|>",
|
| 14 |
+
"<|box_end|>",
|
| 15 |
+
"<|quad_start|>",
|
| 16 |
+
"<|quad_end|>",
|
| 17 |
+
"<|vision_start|>",
|
| 18 |
+
"<|vision_end|>",
|
| 19 |
+
"<|vision_pad|>",
|
| 20 |
+
"<|image_pad|>",
|
| 21 |
+
"<|video_pad|>"
|
| 22 |
+
],
|
| 23 |
+
"is_local": true,
|
| 24 |
+
"model_max_length": 32768,
|
| 25 |
+
"pad_token": "<|endoftext|>",
|
| 26 |
+
"split_special_tokens": false,
|
| 27 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 28 |
+
"unk_token": null
|
| 29 |
+
}
|
cpt_qwen_14B/checkpoints/checkpoint-300/trainer_state.json
ADDED
|
@@ -0,0 +1,2182 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": 300,
|
| 3 |
+
"best_metric": 0.7063615918159485,
|
| 4 |
+
"best_model_checkpoint": "runs/cpt_run_14b/checkpoints/checkpoint-300",
|
| 5 |
+
"epoch": 0.9170806266717616,
|
| 6 |
+
"eval_steps": 50,
|
| 7 |
+
"global_step": 300,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.003056935422239205,
|
| 14 |
+
"grad_norm": 0.06516239047050476,
|
| 15 |
+
"learning_rate": 0.0,
|
| 16 |
+
"loss": 1.138384461402893,
|
| 17 |
+
"step": 1
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 0.00611387084447841,
|
| 21 |
+
"grad_norm": 0.05343673378229141,
|
| 22 |
+
"learning_rate": 3.0303030303030305e-07,
|
| 23 |
+
"loss": 0.983342707157135,
|
| 24 |
+
"step": 2
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.009170806266717615,
|
| 28 |
+
"grad_norm": 0.05608418956398964,
|
| 29 |
+
"learning_rate": 6.060606060606061e-07,
|
| 30 |
+
"loss": 1.0762118101119995,
|
| 31 |
+
"step": 3
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.01222774168895682,
|
| 35 |
+
"grad_norm": 0.06523486226797104,
|
| 36 |
+
"learning_rate": 9.090909090909091e-07,
|
| 37 |
+
"loss": 1.084489345550537,
|
| 38 |
+
"step": 4
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.015284677111196026,
|
| 42 |
+
"grad_norm": 0.06582186371088028,
|
| 43 |
+
"learning_rate": 1.2121212121212122e-06,
|
| 44 |
+
"loss": 1.2037022113800049,
|
| 45 |
+
"step": 5
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.01834161253343523,
|
| 49 |
+
"grad_norm": 0.06097998470067978,
|
| 50 |
+
"learning_rate": 1.5151515151515152e-06,
|
| 51 |
+
"loss": 1.10005784034729,
|
| 52 |
+
"step": 6
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 0.021398547955674436,
|
| 56 |
+
"grad_norm": 0.10365528613328934,
|
| 57 |
+
"learning_rate": 1.8181818181818183e-06,
|
| 58 |
+
"loss": 1.0895193815231323,
|
| 59 |
+
"step": 7
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 0.02445548337791364,
|
| 63 |
+
"grad_norm": 0.06312141567468643,
|
| 64 |
+
"learning_rate": 2.1212121212121216e-06,
|
| 65 |
+
"loss": 1.0593242645263672,
|
| 66 |
+
"step": 8
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.027512418800152847,
|
| 70 |
+
"grad_norm": 0.05508403480052948,
|
| 71 |
+
"learning_rate": 2.4242424242424244e-06,
|
| 72 |
+
"loss": 0.9772955179214478,
|
| 73 |
+
"step": 9
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 0.030569354222392053,
|
| 77 |
+
"grad_norm": 0.06006711348891258,
|
| 78 |
+
"learning_rate": 2.7272727272727272e-06,
|
| 79 |
+
"loss": 1.084238886833191,
|
| 80 |
+
"step": 10
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.033626289644631255,
|
| 84 |
+
"grad_norm": 0.0588749423623085,
|
| 85 |
+
"learning_rate": 3.0303030303030305e-06,
|
| 86 |
+
"loss": 1.0786534547805786,
|
| 87 |
+
"step": 11
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.03668322506687046,
|
| 91 |
+
"grad_norm": 0.046551357954740524,
|
| 92 |
+
"learning_rate": 3.3333333333333333e-06,
|
| 93 |
+
"loss": 1.0370622873306274,
|
| 94 |
+
"step": 12
|
| 95 |
+
},
|
| 96 |
+
{
|
| 97 |
+
"epoch": 0.039740160489109666,
|
| 98 |
+
"grad_norm": 0.061659567058086395,
|
| 99 |
+
"learning_rate": 3.6363636363636366e-06,
|
| 100 |
+
"loss": 1.0646986961364746,
|
| 101 |
+
"step": 13
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 0.04279709591134887,
|
| 105 |
+
"grad_norm": 0.06007347255945206,
|
| 106 |
+
"learning_rate": 3.93939393939394e-06,
|
| 107 |
+
"loss": 1.0311307907104492,
|
| 108 |
+
"step": 14
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"epoch": 0.04585403133358808,
|
| 112 |
+
"grad_norm": 0.07314135134220123,
|
| 113 |
+
"learning_rate": 4.242424242424243e-06,
|
| 114 |
+
"loss": 1.1300500631332397,
|
| 115 |
+
"step": 15
|
| 116 |
+
},
|
| 117 |
+
{
|
| 118 |
+
"epoch": 0.04891096675582728,
|
| 119 |
+
"grad_norm": 0.060934022068977356,
|
| 120 |
+
"learning_rate": 4.5454545454545455e-06,
|
| 121 |
+
"loss": 1.0197452306747437,
|
| 122 |
+
"step": 16
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 0.05196790217806649,
|
| 126 |
+
"grad_norm": 0.056856051087379456,
|
| 127 |
+
"learning_rate": 4.848484848484849e-06,
|
| 128 |
+
"loss": 1.0438549518585205,
|
| 129 |
+
"step": 17
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.055024837600305694,
|
| 133 |
+
"grad_norm": 0.05908689647912979,
|
| 134 |
+
"learning_rate": 5.151515151515152e-06,
|
| 135 |
+
"loss": 1.0398856401443481,
|
| 136 |
+
"step": 18
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"epoch": 0.0580817730225449,
|
| 140 |
+
"grad_norm": 0.07411840558052063,
|
| 141 |
+
"learning_rate": 5.4545454545454545e-06,
|
| 142 |
+
"loss": 1.107885479927063,
|
| 143 |
+
"step": 19
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 0.061138708444784105,
|
| 147 |
+
"grad_norm": 0.0749165341258049,
|
| 148 |
+
"learning_rate": 5.7575757575757586e-06,
|
| 149 |
+
"loss": 1.1060967445373535,
|
| 150 |
+
"step": 20
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"epoch": 0.06419564386702331,
|
| 154 |
+
"grad_norm": 0.06720177084207535,
|
| 155 |
+
"learning_rate": 6.060606060606061e-06,
|
| 156 |
+
"loss": 1.0471720695495605,
|
| 157 |
+
"step": 21
|
| 158 |
+
},
|
| 159 |
+
{
|
| 160 |
+
"epoch": 0.06725257928926251,
|
| 161 |
+
"grad_norm": 0.05990725755691528,
|
| 162 |
+
"learning_rate": 6.363636363636364e-06,
|
| 163 |
+
"loss": 1.0944981575012207,
|
| 164 |
+
"step": 22
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 0.07030951471150172,
|
| 168 |
+
"grad_norm": 0.06672193855047226,
|
| 169 |
+
"learning_rate": 6.666666666666667e-06,
|
| 170 |
+
"loss": 1.1477092504501343,
|
| 171 |
+
"step": 23
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 0.07336645013374092,
|
| 175 |
+
"grad_norm": 0.06145205348730087,
|
| 176 |
+
"learning_rate": 6.969696969696971e-06,
|
| 177 |
+
"loss": 1.0591784715652466,
|
| 178 |
+
"step": 24
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"epoch": 0.07642338555598013,
|
| 182 |
+
"grad_norm": 0.0757482647895813,
|
| 183 |
+
"learning_rate": 7.272727272727273e-06,
|
| 184 |
+
"loss": 1.0500165224075317,
|
| 185 |
+
"step": 25
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 0.07948032097821933,
|
| 189 |
+
"grad_norm": 0.07848478108644485,
|
| 190 |
+
"learning_rate": 7.5757575757575764e-06,
|
| 191 |
+
"loss": 1.0747522115707397,
|
| 192 |
+
"step": 26
|
| 193 |
+
},
|
| 194 |
+
{
|
| 195 |
+
"epoch": 0.08253725640045854,
|
| 196 |
+
"grad_norm": 0.07740631699562073,
|
| 197 |
+
"learning_rate": 7.87878787878788e-06,
|
| 198 |
+
"loss": 1.132310152053833,
|
| 199 |
+
"step": 27
|
| 200 |
+
},
|
| 201 |
+
{
|
| 202 |
+
"epoch": 0.08559419182269774,
|
| 203 |
+
"grad_norm": 0.07476603239774704,
|
| 204 |
+
"learning_rate": 8.181818181818183e-06,
|
| 205 |
+
"loss": 1.0339502096176147,
|
| 206 |
+
"step": 28
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 0.08865112724493696,
|
| 210 |
+
"grad_norm": 0.0779196098446846,
|
| 211 |
+
"learning_rate": 8.484848484848486e-06,
|
| 212 |
+
"loss": 1.1047282218933105,
|
| 213 |
+
"step": 29
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"epoch": 0.09170806266717615,
|
| 217 |
+
"grad_norm": 0.06962384283542633,
|
| 218 |
+
"learning_rate": 8.787878787878788e-06,
|
| 219 |
+
"loss": 1.004916787147522,
|
| 220 |
+
"step": 30
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"epoch": 0.09476499808941537,
|
| 224 |
+
"grad_norm": 0.06369175016880035,
|
| 225 |
+
"learning_rate": 9.090909090909091e-06,
|
| 226 |
+
"loss": 0.9296417832374573,
|
| 227 |
+
"step": 31
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 0.09782193351165457,
|
| 231 |
+
"grad_norm": 0.07470260560512543,
|
| 232 |
+
"learning_rate": 9.393939393939396e-06,
|
| 233 |
+
"loss": 1.0721708536148071,
|
| 234 |
+
"step": 32
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 0.10087886893389378,
|
| 238 |
+
"grad_norm": 0.07948213815689087,
|
| 239 |
+
"learning_rate": 9.696969696969698e-06,
|
| 240 |
+
"loss": 1.0350117683410645,
|
| 241 |
+
"step": 33
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"epoch": 0.10393580435613298,
|
| 245 |
+
"grad_norm": 0.07066022604703903,
|
| 246 |
+
"learning_rate": 1e-05,
|
| 247 |
+
"loss": 1.026305913925171,
|
| 248 |
+
"step": 34
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 0.10699273977837218,
|
| 252 |
+
"grad_norm": 0.07774543762207031,
|
| 253 |
+
"learning_rate": 1.0303030303030304e-05,
|
| 254 |
+
"loss": 1.0509816408157349,
|
| 255 |
+
"step": 35
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 0.11004967520061139,
|
| 259 |
+
"grad_norm": 0.07501248270273209,
|
| 260 |
+
"learning_rate": 1.0606060606060606e-05,
|
| 261 |
+
"loss": 1.0011574029922485,
|
| 262 |
+
"step": 36
|
| 263 |
+
},
|
| 264 |
+
{
|
| 265 |
+
"epoch": 0.11310661062285059,
|
| 266 |
+
"grad_norm": 0.6622501611709595,
|
| 267 |
+
"learning_rate": 1.0909090909090909e-05,
|
| 268 |
+
"loss": 0.9754424691200256,
|
| 269 |
+
"step": 37
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 0.1161635460450898,
|
| 273 |
+
"grad_norm": 0.07566080242395401,
|
| 274 |
+
"learning_rate": 1.1212121212121212e-05,
|
| 275 |
+
"loss": 1.0342774391174316,
|
| 276 |
+
"step": 38
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 0.119220481467329,
|
| 280 |
+
"grad_norm": 0.07573831081390381,
|
| 281 |
+
"learning_rate": 1.1515151515151517e-05,
|
| 282 |
+
"loss": 0.9714518785476685,
|
| 283 |
+
"step": 39
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"epoch": 0.12227741688956821,
|
| 287 |
+
"grad_norm": 0.08083852380514145,
|
| 288 |
+
"learning_rate": 1.181818181818182e-05,
|
| 289 |
+
"loss": 1.1050316095352173,
|
| 290 |
+
"step": 40
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 0.12533435231180742,
|
| 294 |
+
"grad_norm": 0.08540588617324829,
|
| 295 |
+
"learning_rate": 1.2121212121212122e-05,
|
| 296 |
+
"loss": 1.0871070623397827,
|
| 297 |
+
"step": 41
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 0.12839128773404662,
|
| 301 |
+
"grad_norm": 0.07391592115163803,
|
| 302 |
+
"learning_rate": 1.2424242424242425e-05,
|
| 303 |
+
"loss": 1.0206722021102905,
|
| 304 |
+
"step": 42
|
| 305 |
+
},
|
| 306 |
+
{
|
| 307 |
+
"epoch": 0.13144822315628582,
|
| 308 |
+
"grad_norm": 0.07063689082860947,
|
| 309 |
+
"learning_rate": 1.2727272727272728e-05,
|
| 310 |
+
"loss": 0.9775047898292542,
|
| 311 |
+
"step": 43
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"epoch": 0.13450515857852502,
|
| 315 |
+
"grad_norm": 0.07288888841867447,
|
| 316 |
+
"learning_rate": 1.3030303030303032e-05,
|
| 317 |
+
"loss": 1.1132858991622925,
|
| 318 |
+
"step": 44
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 0.13756209400076425,
|
| 322 |
+
"grad_norm": 0.07641777396202087,
|
| 323 |
+
"learning_rate": 1.3333333333333333e-05,
|
| 324 |
+
"loss": 1.0707701444625854,
|
| 325 |
+
"step": 45
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"epoch": 0.14061902942300344,
|
| 329 |
+
"grad_norm": 0.06990326195955276,
|
| 330 |
+
"learning_rate": 1.3636363636363637e-05,
|
| 331 |
+
"loss": 0.9328265190124512,
|
| 332 |
+
"step": 46
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 0.14367596484524264,
|
| 336 |
+
"grad_norm": 0.0834241658449173,
|
| 337 |
+
"learning_rate": 1.3939393939393942e-05,
|
| 338 |
+
"loss": 1.0131721496582031,
|
| 339 |
+
"step": 47
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 0.14673290026748184,
|
| 343 |
+
"grad_norm": 0.0714937075972557,
|
| 344 |
+
"learning_rate": 1.4242424242424245e-05,
|
| 345 |
+
"loss": 0.940493106842041,
|
| 346 |
+
"step": 48
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 0.14978983568972107,
|
| 350 |
+
"grad_norm": 0.07770547270774841,
|
| 351 |
+
"learning_rate": 1.4545454545454546e-05,
|
| 352 |
+
"loss": 1.0435771942138672,
|
| 353 |
+
"step": 49
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 0.15284677111196027,
|
| 357 |
+
"grad_norm": 0.07950945198535919,
|
| 358 |
+
"learning_rate": 1.484848484848485e-05,
|
| 359 |
+
"loss": 1.0382137298583984,
|
| 360 |
+
"step": 50
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 0.15284677111196027,
|
| 364 |
+
"eval_loss": 1.0129202604293823,
|
| 365 |
+
"eval_runtime": 724.3664,
|
| 366 |
+
"eval_samples_per_second": 0.832,
|
| 367 |
+
"eval_steps_per_second": 0.832,
|
| 368 |
+
"step": 50
|
| 369 |
+
},
|
| 370 |
+
{
|
| 371 |
+
"epoch": 0.15590370653419947,
|
| 372 |
+
"grad_norm": 0.06961936503648758,
|
| 373 |
+
"learning_rate": 1.5151515151515153e-05,
|
| 374 |
+
"loss": 0.9690049886703491,
|
| 375 |
+
"step": 51
|
| 376 |
+
},
|
| 377 |
+
{
|
| 378 |
+
"epoch": 0.15896064195643866,
|
| 379 |
+
"grad_norm": 0.069523885846138,
|
| 380 |
+
"learning_rate": 1.5454545454545454e-05,
|
| 381 |
+
"loss": 0.9830482006072998,
|
| 382 |
+
"step": 52
|
| 383 |
+
},
|
| 384 |
+
{
|
| 385 |
+
"epoch": 0.16201757737867786,
|
| 386 |
+
"grad_norm": 0.0764622762799263,
|
| 387 |
+
"learning_rate": 1.575757575757576e-05,
|
| 388 |
+
"loss": 1.0895472764968872,
|
| 389 |
+
"step": 53
|
| 390 |
+
},
|
| 391 |
+
{
|
| 392 |
+
"epoch": 0.1650745128009171,
|
| 393 |
+
"grad_norm": 0.1413721889257431,
|
| 394 |
+
"learning_rate": 1.606060606060606e-05,
|
| 395 |
+
"loss": 1.0354574918746948,
|
| 396 |
+
"step": 54
|
| 397 |
+
},
|
| 398 |
+
{
|
| 399 |
+
"epoch": 0.1681314482231563,
|
| 400 |
+
"grad_norm": 0.06818042695522308,
|
| 401 |
+
"learning_rate": 1.6363636363636366e-05,
|
| 402 |
+
"loss": 0.8534265160560608,
|
| 403 |
+
"step": 55
|
| 404 |
+
},
|
| 405 |
+
{
|
| 406 |
+
"epoch": 0.1711883836453955,
|
| 407 |
+
"grad_norm": 0.0722246989607811,
|
| 408 |
+
"learning_rate": 1.6666666666666667e-05,
|
| 409 |
+
"loss": 0.9580274820327759,
|
| 410 |
+
"step": 56
|
| 411 |
+
},
|
| 412 |
+
{
|
| 413 |
+
"epoch": 0.17424531906763469,
|
| 414 |
+
"grad_norm": 0.07113443315029144,
|
| 415 |
+
"learning_rate": 1.6969696969696972e-05,
|
| 416 |
+
"loss": 1.0721848011016846,
|
| 417 |
+
"step": 57
|
| 418 |
+
},
|
| 419 |
+
{
|
| 420 |
+
"epoch": 0.1773022544898739,
|
| 421 |
+
"grad_norm": 0.08412107080221176,
|
| 422 |
+
"learning_rate": 1.7272727272727274e-05,
|
| 423 |
+
"loss": 1.1180150508880615,
|
| 424 |
+
"step": 58
|
| 425 |
+
},
|
| 426 |
+
{
|
| 427 |
+
"epoch": 0.1803591899121131,
|
| 428 |
+
"grad_norm": 0.07381036877632141,
|
| 429 |
+
"learning_rate": 1.7575757575757576e-05,
|
| 430 |
+
"loss": 1.0384547710418701,
|
| 431 |
+
"step": 59
|
| 432 |
+
},
|
| 433 |
+
{
|
| 434 |
+
"epoch": 0.1834161253343523,
|
| 435 |
+
"grad_norm": 0.07089001685380936,
|
| 436 |
+
"learning_rate": 1.787878787878788e-05,
|
| 437 |
+
"loss": 1.0446016788482666,
|
| 438 |
+
"step": 60
|
| 439 |
+
},
|
| 440 |
+
{
|
| 441 |
+
"epoch": 0.1864730607565915,
|
| 442 |
+
"grad_norm": 0.11576953530311584,
|
| 443 |
+
"learning_rate": 1.8181818181818182e-05,
|
| 444 |
+
"loss": 1.0015051364898682,
|
| 445 |
+
"step": 61
|
| 446 |
+
},
|
| 447 |
+
{
|
| 448 |
+
"epoch": 0.18952999617883073,
|
| 449 |
+
"grad_norm": 0.08030868321657181,
|
| 450 |
+
"learning_rate": 1.8484848484848487e-05,
|
| 451 |
+
"loss": 0.9642710089683533,
|
| 452 |
+
"step": 62
|
| 453 |
+
},
|
| 454 |
+
{
|
| 455 |
+
"epoch": 0.19258693160106993,
|
| 456 |
+
"grad_norm": 0.08332342654466629,
|
| 457 |
+
"learning_rate": 1.8787878787878792e-05,
|
| 458 |
+
"loss": 1.0722991228103638,
|
| 459 |
+
"step": 63
|
| 460 |
+
},
|
| 461 |
+
{
|
| 462 |
+
"epoch": 0.19564386702330913,
|
| 463 |
+
"grad_norm": 0.08000365644693375,
|
| 464 |
+
"learning_rate": 1.9090909090909094e-05,
|
| 465 |
+
"loss": 1.0104647874832153,
|
| 466 |
+
"step": 64
|
| 467 |
+
},
|
| 468 |
+
{
|
| 469 |
+
"epoch": 0.19870080244554833,
|
| 470 |
+
"grad_norm": 0.08139508217573166,
|
| 471 |
+
"learning_rate": 1.9393939393939395e-05,
|
| 472 |
+
"loss": 0.9445061087608337,
|
| 473 |
+
"step": 65
|
| 474 |
+
},
|
| 475 |
+
{
|
| 476 |
+
"epoch": 0.20175773786778756,
|
| 477 |
+
"grad_norm": 0.08749893307685852,
|
| 478 |
+
"learning_rate": 1.96969696969697e-05,
|
| 479 |
+
"loss": 1.080810308456421,
|
| 480 |
+
"step": 66
|
| 481 |
+
},
|
| 482 |
+
{
|
| 483 |
+
"epoch": 0.20481467329002676,
|
| 484 |
+
"grad_norm": 0.0786912813782692,
|
| 485 |
+
"learning_rate": 2e-05,
|
| 486 |
+
"loss": 0.9705753922462463,
|
| 487 |
+
"step": 67
|
| 488 |
+
},
|
| 489 |
+
{
|
| 490 |
+
"epoch": 0.20787160871226595,
|
| 491 |
+
"grad_norm": 0.08962028473615646,
|
| 492 |
+
"learning_rate": 1.9999858236410775e-05,
|
| 493 |
+
"loss": 0.962783694267273,
|
| 494 |
+
"step": 68
|
| 495 |
+
},
|
| 496 |
+
{
|
| 497 |
+
"epoch": 0.21092854413450515,
|
| 498 |
+
"grad_norm": 0.08402887731790543,
|
| 499 |
+
"learning_rate": 1.9999432949662483e-05,
|
| 500 |
+
"loss": 0.9959614872932434,
|
| 501 |
+
"step": 69
|
| 502 |
+
},
|
| 503 |
+
{
|
| 504 |
+
"epoch": 0.21398547955674435,
|
| 505 |
+
"grad_norm": 0.08036444336175919,
|
| 506 |
+
"learning_rate": 1.9998724151813157e-05,
|
| 507 |
+
"loss": 0.9569960832595825,
|
| 508 |
+
"step": 70
|
| 509 |
+
},
|
| 510 |
+
{
|
| 511 |
+
"epoch": 0.21704241497898358,
|
| 512 |
+
"grad_norm": 0.08247046917676926,
|
| 513 |
+
"learning_rate": 1.9997731862959143e-05,
|
| 514 |
+
"loss": 1.0012171268463135,
|
| 515 |
+
"step": 71
|
| 516 |
+
},
|
| 517 |
+
{
|
| 518 |
+
"epoch": 0.22009935040122278,
|
| 519 |
+
"grad_norm": 0.08966264873743057,
|
| 520 |
+
"learning_rate": 1.999645611123453e-05,
|
| 521 |
+
"loss": 1.0403809547424316,
|
| 522 |
+
"step": 72
|
| 523 |
+
},
|
| 524 |
+
{
|
| 525 |
+
"epoch": 0.22315628582346198,
|
| 526 |
+
"grad_norm": 0.08061660826206207,
|
| 527 |
+
"learning_rate": 1.999489693281034e-05,
|
| 528 |
+
"loss": 1.0089740753173828,
|
| 529 |
+
"step": 73
|
| 530 |
+
},
|
| 531 |
+
{
|
| 532 |
+
"epoch": 0.22621322124570117,
|
| 533 |
+
"grad_norm": 0.09005365520715714,
|
| 534 |
+
"learning_rate": 1.9993054371893526e-05,
|
| 535 |
+
"loss": 0.9333044290542603,
|
| 536 |
+
"step": 74
|
| 537 |
+
},
|
| 538 |
+
{
|
| 539 |
+
"epoch": 0.2292701566679404,
|
| 540 |
+
"grad_norm": 0.08651519566774368,
|
| 541 |
+
"learning_rate": 1.9990928480725694e-05,
|
| 542 |
+
"loss": 0.9284015893936157,
|
| 543 |
+
"step": 75
|
| 544 |
+
},
|
| 545 |
+
{
|
| 546 |
+
"epoch": 0.2323270920901796,
|
| 547 |
+
"grad_norm": 0.08141147345304489,
|
| 548 |
+
"learning_rate": 1.9988519319581637e-05,
|
| 549 |
+
"loss": 0.9782730340957642,
|
| 550 |
+
"step": 76
|
| 551 |
+
},
|
| 552 |
+
{
|
| 553 |
+
"epoch": 0.2353840275124188,
|
| 554 |
+
"grad_norm": 0.08344405144453049,
|
| 555 |
+
"learning_rate": 1.998582695676762e-05,
|
| 556 |
+
"loss": 0.9723064303398132,
|
| 557 |
+
"step": 77
|
| 558 |
+
},
|
| 559 |
+
{
|
| 560 |
+
"epoch": 0.238440962934658,
|
| 561 |
+
"grad_norm": 0.08019903302192688,
|
| 562 |
+
"learning_rate": 1.998285146861945e-05,
|
| 563 |
+
"loss": 0.9648997783660889,
|
| 564 |
+
"step": 78
|
| 565 |
+
},
|
| 566 |
+
{
|
| 567 |
+
"epoch": 0.24149789835689722,
|
| 568 |
+
"grad_norm": 0.08113416284322739,
|
| 569 |
+
"learning_rate": 1.99795929395003e-05,
|
| 570 |
+
"loss": 0.9263214468955994,
|
| 571 |
+
"step": 79
|
| 572 |
+
},
|
| 573 |
+
{
|
| 574 |
+
"epoch": 0.24455483377913642,
|
| 575 |
+
"grad_norm": 0.08127513527870178,
|
| 576 |
+
"learning_rate": 1.997605146179833e-05,
|
| 577 |
+
"loss": 0.8745232224464417,
|
| 578 |
+
"step": 80
|
| 579 |
+
},
|
| 580 |
+
{
|
| 581 |
+
"epoch": 0.24761176920137562,
|
| 582 |
+
"grad_norm": 0.09934187680482864,
|
| 583 |
+
"learning_rate": 1.997222713592405e-05,
|
| 584 |
+
"loss": 0.8722782135009766,
|
| 585 |
+
"step": 81
|
| 586 |
+
},
|
| 587 |
+
{
|
| 588 |
+
"epoch": 0.25066870462361485,
|
| 589 |
+
"grad_norm": 0.09701363742351532,
|
| 590 |
+
"learning_rate": 1.9968120070307503e-05,
|
| 591 |
+
"loss": 1.0084266662597656,
|
| 592 |
+
"step": 82
|
| 593 |
+
},
|
| 594 |
+
{
|
| 595 |
+
"epoch": 0.253725640045854,
|
| 596 |
+
"grad_norm": 0.08335654437541962,
|
| 597 |
+
"learning_rate": 1.9963730381395154e-05,
|
| 598 |
+
"loss": 0.9239332675933838,
|
| 599 |
+
"step": 83
|
| 600 |
+
},
|
| 601 |
+
{
|
| 602 |
+
"epoch": 0.25678257546809324,
|
| 603 |
+
"grad_norm": 0.09161650389432907,
|
| 604 |
+
"learning_rate": 1.9959058193646618e-05,
|
| 605 |
+
"loss": 0.9878032207489014,
|
| 606 |
+
"step": 84
|
| 607 |
+
},
|
| 608 |
+
{
|
| 609 |
+
"epoch": 0.2598395108903324,
|
| 610 |
+
"grad_norm": 0.08067663013935089,
|
| 611 |
+
"learning_rate": 1.9954103639531116e-05,
|
| 612 |
+
"loss": 0.9113098382949829,
|
| 613 |
+
"step": 85
|
| 614 |
+
},
|
| 615 |
+
{
|
| 616 |
+
"epoch": 0.26289644631257164,
|
| 617 |
+
"grad_norm": 0.09619539976119995,
|
| 618 |
+
"learning_rate": 1.9948866859523717e-05,
|
| 619 |
+
"loss": 0.9527600407600403,
|
| 620 |
+
"step": 86
|
| 621 |
+
},
|
| 622 |
+
{
|
| 623 |
+
"epoch": 0.26595338173481087,
|
| 624 |
+
"grad_norm": 0.10015493631362915,
|
| 625 |
+
"learning_rate": 1.9943348002101374e-05,
|
| 626 |
+
"loss": 0.9569152593612671,
|
| 627 |
+
"step": 87
|
| 628 |
+
},
|
| 629 |
+
{
|
| 630 |
+
"epoch": 0.26901031715705004,
|
| 631 |
+
"grad_norm": 0.09012345969676971,
|
| 632 |
+
"learning_rate": 1.993754722373869e-05,
|
| 633 |
+
"loss": 0.8912045359611511,
|
| 634 |
+
"step": 88
|
| 635 |
+
},
|
| 636 |
+
{
|
| 637 |
+
"epoch": 0.27206725257928926,
|
| 638 |
+
"grad_norm": 0.10342805832624435,
|
| 639 |
+
"learning_rate": 1.9931464688903502e-05,
|
| 640 |
+
"loss": 0.856104850769043,
|
| 641 |
+
"step": 89
|
| 642 |
+
},
|
| 643 |
+
{
|
| 644 |
+
"epoch": 0.2751241880015285,
|
| 645 |
+
"grad_norm": 0.10218493640422821,
|
| 646 |
+
"learning_rate": 1.9925100570052194e-05,
|
| 647 |
+
"loss": 0.9631397128105164,
|
| 648 |
+
"step": 90
|
| 649 |
+
},
|
| 650 |
+
{
|
| 651 |
+
"epoch": 0.27818112342376766,
|
| 652 |
+
"grad_norm": 0.10909046977758408,
|
| 653 |
+
"learning_rate": 1.9918455047624847e-05,
|
| 654 |
+
"loss": 0.8532565236091614,
|
| 655 |
+
"step": 91
|
| 656 |
+
},
|
| 657 |
+
{
|
| 658 |
+
"epoch": 0.2812380588460069,
|
| 659 |
+
"grad_norm": 0.10714197903871536,
|
| 660 |
+
"learning_rate": 1.9911528310040073e-05,
|
| 661 |
+
"loss": 0.9691859483718872,
|
| 662 |
+
"step": 92
|
| 663 |
+
},
|
| 664 |
+
{
|
| 665 |
+
"epoch": 0.28429499426824606,
|
| 666 |
+
"grad_norm": 0.1108694076538086,
|
| 667 |
+
"learning_rate": 1.990432055368971e-05,
|
| 668 |
+
"loss": 0.9374334812164307,
|
| 669 |
+
"step": 93
|
| 670 |
+
},
|
| 671 |
+
{
|
| 672 |
+
"epoch": 0.2873519296904853,
|
| 673 |
+
"grad_norm": 0.10037308186292648,
|
| 674 |
+
"learning_rate": 1.989683198293324e-05,
|
| 675 |
+
"loss": 0.9166896343231201,
|
| 676 |
+
"step": 94
|
| 677 |
+
},
|
| 678 |
+
{
|
| 679 |
+
"epoch": 0.2904088651127245,
|
| 680 |
+
"grad_norm": 0.10246684402227402,
|
| 681 |
+
"learning_rate": 1.9889062810092002e-05,
|
| 682 |
+
"loss": 1.0059239864349365,
|
| 683 |
+
"step": 95
|
| 684 |
+
},
|
| 685 |
+
{
|
| 686 |
+
"epoch": 0.2934658005349637,
|
| 687 |
+
"grad_norm": 0.09954962879419327,
|
| 688 |
+
"learning_rate": 1.9881013255443152e-05,
|
| 689 |
+
"loss": 1.00413179397583,
|
| 690 |
+
"step": 96
|
| 691 |
+
},
|
| 692 |
+
{
|
| 693 |
+
"epoch": 0.2965227359572029,
|
| 694 |
+
"grad_norm": 0.11006761342287064,
|
| 695 |
+
"learning_rate": 1.9872683547213446e-05,
|
| 696 |
+
"loss": 0.9414035677909851,
|
| 697 |
+
"step": 97
|
| 698 |
+
},
|
| 699 |
+
{
|
| 700 |
+
"epoch": 0.29957967137944214,
|
| 701 |
+
"grad_norm": 0.1014382541179657,
|
| 702 |
+
"learning_rate": 1.9864073921572756e-05,
|
| 703 |
+
"loss": 0.9155468940734863,
|
| 704 |
+
"step": 98
|
| 705 |
+
},
|
| 706 |
+
{
|
| 707 |
+
"epoch": 0.3026366068016813,
|
| 708 |
+
"grad_norm": 0.09883157908916473,
|
| 709 |
+
"learning_rate": 1.9855184622627362e-05,
|
| 710 |
+
"loss": 0.9429305195808411,
|
| 711 |
+
"step": 99
|
| 712 |
+
},
|
| 713 |
+
{
|
| 714 |
+
"epoch": 0.30569354222392053,
|
| 715 |
+
"grad_norm": 0.11199072748422623,
|
| 716 |
+
"learning_rate": 1.9846015902413053e-05,
|
| 717 |
+
"loss": 0.9143528342247009,
|
| 718 |
+
"step": 100
|
| 719 |
+
},
|
| 720 |
+
{
|
| 721 |
+
"epoch": 0.30569354222392053,
|
| 722 |
+
"eval_loss": 0.884428083896637,
|
| 723 |
+
"eval_runtime": 723.8143,
|
| 724 |
+
"eval_samples_per_second": 0.833,
|
| 725 |
+
"eval_steps_per_second": 0.833,
|
| 726 |
+
"step": 100
|
| 727 |
+
},
|
| 728 |
+
{
|
| 729 |
+
"epoch": 0.3087504776461597,
|
| 730 |
+
"grad_norm": 0.10796016454696655,
|
| 731 |
+
"learning_rate": 1.9836568020887963e-05,
|
| 732 |
+
"loss": 0.9726455211639404,
|
| 733 |
+
"step": 101
|
| 734 |
+
},
|
| 735 |
+
{
|
| 736 |
+
"epoch": 0.31180741306839893,
|
| 737 |
+
"grad_norm": 0.10056383162736893,
|
| 738 |
+
"learning_rate": 1.982684124592521e-05,
|
| 739 |
+
"loss": 0.8932135701179504,
|
| 740 |
+
"step": 102
|
| 741 |
+
},
|
| 742 |
+
{
|
| 743 |
+
"epoch": 0.31486434849063816,
|
| 744 |
+
"grad_norm": 0.10836594551801682,
|
| 745 |
+
"learning_rate": 1.9816835853305306e-05,
|
| 746 |
+
"loss": 0.919749915599823,
|
| 747 |
+
"step": 103
|
| 748 |
+
},
|
| 749 |
+
{
|
| 750 |
+
"epoch": 0.31792128391287733,
|
| 751 |
+
"grad_norm": 0.12032149732112885,
|
| 752 |
+
"learning_rate": 1.9806552126708322e-05,
|
| 753 |
+
"loss": 0.871781587600708,
|
| 754 |
+
"step": 104
|
| 755 |
+
},
|
| 756 |
+
{
|
| 757 |
+
"epoch": 0.32097821933511655,
|
| 758 |
+
"grad_norm": 0.10854160040616989,
|
| 759 |
+
"learning_rate": 1.9795990357705853e-05,
|
| 760 |
+
"loss": 0.8587784171104431,
|
| 761 |
+
"step": 105
|
| 762 |
+
},
|
| 763 |
+
{
|
| 764 |
+
"epoch": 0.3240351547573557,
|
| 765 |
+
"grad_norm": 0.10819399356842041,
|
| 766 |
+
"learning_rate": 1.978515084575276e-05,
|
| 767 |
+
"loss": 0.8524806499481201,
|
| 768 |
+
"step": 106
|
| 769 |
+
},
|
| 770 |
+
{
|
| 771 |
+
"epoch": 0.32709209017959495,
|
| 772 |
+
"grad_norm": 0.10226067155599594,
|
| 773 |
+
"learning_rate": 1.9774033898178668e-05,
|
| 774 |
+
"loss": 0.7892144918441772,
|
| 775 |
+
"step": 107
|
| 776 |
+
},
|
| 777 |
+
{
|
| 778 |
+
"epoch": 0.3301490256018342,
|
| 779 |
+
"grad_norm": 0.1071159616112709,
|
| 780 |
+
"learning_rate": 1.976263983017925e-05,
|
| 781 |
+
"loss": 0.8833234906196594,
|
| 782 |
+
"step": 108
|
| 783 |
+
},
|
| 784 |
+
{
|
| 785 |
+
"epoch": 0.33320596102407335,
|
| 786 |
+
"grad_norm": 0.11434526741504669,
|
| 787 |
+
"learning_rate": 1.9750968964807305e-05,
|
| 788 |
+
"loss": 0.861842155456543,
|
| 789 |
+
"step": 109
|
| 790 |
+
},
|
| 791 |
+
{
|
| 792 |
+
"epoch": 0.3362628964463126,
|
| 793 |
+
"grad_norm": 0.1159641221165657,
|
| 794 |
+
"learning_rate": 1.9739021632963584e-05,
|
| 795 |
+
"loss": 0.8987889289855957,
|
| 796 |
+
"step": 110
|
| 797 |
+
},
|
| 798 |
+
{
|
| 799 |
+
"epoch": 0.3393198318685518,
|
| 800 |
+
"grad_norm": 0.12371373921632767,
|
| 801 |
+
"learning_rate": 1.9726798173387417e-05,
|
| 802 |
+
"loss": 0.9710193872451782,
|
| 803 |
+
"step": 111
|
| 804 |
+
},
|
| 805 |
+
{
|
| 806 |
+
"epoch": 0.342376767290791,
|
| 807 |
+
"grad_norm": 0.11441531032323837,
|
| 808 |
+
"learning_rate": 1.97142989326471e-05,
|
| 809 |
+
"loss": 0.8199151158332825,
|
| 810 |
+
"step": 112
|
| 811 |
+
},
|
| 812 |
+
{
|
| 813 |
+
"epoch": 0.3454337027130302,
|
| 814 |
+
"grad_norm": 0.11842846125364304,
|
| 815 |
+
"learning_rate": 1.9701524265130088e-05,
|
| 816 |
+
"loss": 0.8845276236534119,
|
| 817 |
+
"step": 113
|
| 818 |
+
},
|
| 819 |
+
{
|
| 820 |
+
"epoch": 0.34849063813526937,
|
| 821 |
+
"grad_norm": 0.10813732445240021,
|
| 822 |
+
"learning_rate": 1.9688474533032916e-05,
|
| 823 |
+
"loss": 0.7964264750480652,
|
| 824 |
+
"step": 114
|
| 825 |
+
},
|
| 826 |
+
{
|
| 827 |
+
"epoch": 0.3515475735575086,
|
| 828 |
+
"grad_norm": 0.11050347238779068,
|
| 829 |
+
"learning_rate": 1.9675150106350957e-05,
|
| 830 |
+
"loss": 0.9630422592163086,
|
| 831 |
+
"step": 115
|
| 832 |
+
},
|
| 833 |
+
{
|
| 834 |
+
"epoch": 0.3546045089797478,
|
| 835 |
+
"grad_norm": 0.10537250339984894,
|
| 836 |
+
"learning_rate": 1.9661551362867926e-05,
|
| 837 |
+
"loss": 0.7706905007362366,
|
| 838 |
+
"step": 116
|
| 839 |
+
},
|
| 840 |
+
{
|
| 841 |
+
"epoch": 0.357661444401987,
|
| 842 |
+
"grad_norm": 0.11390368640422821,
|
| 843 |
+
"learning_rate": 1.9647678688145163e-05,
|
| 844 |
+
"loss": 0.8541204929351807,
|
| 845 |
+
"step": 117
|
| 846 |
+
},
|
| 847 |
+
{
|
| 848 |
+
"epoch": 0.3607183798242262,
|
| 849 |
+
"grad_norm": 0.10318922251462936,
|
| 850 |
+
"learning_rate": 1.963353247551069e-05,
|
| 851 |
+
"loss": 0.7400562763214111,
|
| 852 |
+
"step": 118
|
| 853 |
+
},
|
| 854 |
+
{
|
| 855 |
+
"epoch": 0.3637753152464654,
|
| 856 |
+
"grad_norm": 0.1347586214542389,
|
| 857 |
+
"learning_rate": 1.9619113126048086e-05,
|
| 858 |
+
"loss": 0.9232871532440186,
|
| 859 |
+
"step": 119
|
| 860 |
+
},
|
| 861 |
+
{
|
| 862 |
+
"epoch": 0.3668322506687046,
|
| 863 |
+
"grad_norm": 0.11458177119493484,
|
| 864 |
+
"learning_rate": 1.96044210485851e-05,
|
| 865 |
+
"loss": 0.833285927772522,
|
| 866 |
+
"step": 120
|
| 867 |
+
},
|
| 868 |
+
{
|
| 869 |
+
"epoch": 0.36988918609094384,
|
| 870 |
+
"grad_norm": 0.12361041456460953,
|
| 871 |
+
"learning_rate": 1.958945665968206e-05,
|
| 872 |
+
"loss": 0.7887391448020935,
|
| 873 |
+
"step": 121
|
| 874 |
+
},
|
| 875 |
+
{
|
| 876 |
+
"epoch": 0.372946121513183,
|
| 877 |
+
"grad_norm": 0.11985408514738083,
|
| 878 |
+
"learning_rate": 1.9574220383620054e-05,
|
| 879 |
+
"loss": 0.8206446170806885,
|
| 880 |
+
"step": 122
|
| 881 |
+
},
|
| 882 |
+
{
|
| 883 |
+
"epoch": 0.37600305693542224,
|
| 884 |
+
"grad_norm": 0.1355939507484436,
|
| 885 |
+
"learning_rate": 1.9558712652388932e-05,
|
| 886 |
+
"loss": 0.7648542523384094,
|
| 887 |
+
"step": 123
|
| 888 |
+
},
|
| 889 |
+
{
|
| 890 |
+
"epoch": 0.37905999235766147,
|
| 891 |
+
"grad_norm": 0.1229313388466835,
|
| 892 |
+
"learning_rate": 1.954293390567501e-05,
|
| 893 |
+
"loss": 0.8573335409164429,
|
| 894 |
+
"step": 124
|
| 895 |
+
},
|
| 896 |
+
{
|
| 897 |
+
"epoch": 0.38211692777990064,
|
| 898 |
+
"grad_norm": 0.11425124108791351,
|
| 899 |
+
"learning_rate": 1.9526884590848646e-05,
|
| 900 |
+
"loss": 0.7412531971931458,
|
| 901 |
+
"step": 125
|
| 902 |
+
},
|
| 903 |
+
{
|
| 904 |
+
"epoch": 0.38517386320213987,
|
| 905 |
+
"grad_norm": 0.12430041283369064,
|
| 906 |
+
"learning_rate": 1.9510565162951538e-05,
|
| 907 |
+
"loss": 0.8098543882369995,
|
| 908 |
+
"step": 126
|
| 909 |
+
},
|
| 910 |
+
{
|
| 911 |
+
"epoch": 0.38823079862437904,
|
| 912 |
+
"grad_norm": 0.12492368370294571,
|
| 913 |
+
"learning_rate": 1.9493976084683814e-05,
|
| 914 |
+
"loss": 0.8814713954925537,
|
| 915 |
+
"step": 127
|
| 916 |
+
},
|
| 917 |
+
{
|
| 918 |
+
"epoch": 0.39128773404661826,
|
| 919 |
+
"grad_norm": 0.14428824186325073,
|
| 920 |
+
"learning_rate": 1.9477117826390934e-05,
|
| 921 |
+
"loss": 0.8231979608535767,
|
| 922 |
+
"step": 128
|
| 923 |
+
},
|
| 924 |
+
{
|
| 925 |
+
"epoch": 0.3943446694688575,
|
| 926 |
+
"grad_norm": 0.12010085582733154,
|
| 927 |
+
"learning_rate": 1.9459990866050337e-05,
|
| 928 |
+
"loss": 0.7015627026557922,
|
| 929 |
+
"step": 129
|
| 930 |
+
},
|
| 931 |
+
{
|
| 932 |
+
"epoch": 0.39740160489109666,
|
| 933 |
+
"grad_norm": 0.11819776892662048,
|
| 934 |
+
"learning_rate": 1.9442595689257898e-05,
|
| 935 |
+
"loss": 0.8086729645729065,
|
| 936 |
+
"step": 130
|
| 937 |
+
},
|
| 938 |
+
{
|
| 939 |
+
"epoch": 0.4004585403133359,
|
| 940 |
+
"grad_norm": 0.12211033701896667,
|
| 941 |
+
"learning_rate": 1.9424932789214158e-05,
|
| 942 |
+
"loss": 0.8234002590179443,
|
| 943 |
+
"step": 131
|
| 944 |
+
},
|
| 945 |
+
{
|
| 946 |
+
"epoch": 0.4035154757355751,
|
| 947 |
+
"grad_norm": 0.14926476776599884,
|
| 948 |
+
"learning_rate": 1.9407002666710334e-05,
|
| 949 |
+
"loss": 0.874608039855957,
|
| 950 |
+
"step": 132
|
| 951 |
+
},
|
| 952 |
+
{
|
| 953 |
+
"epoch": 0.4065724111578143,
|
| 954 |
+
"grad_norm": 0.13012923300266266,
|
| 955 |
+
"learning_rate": 1.9388805830114132e-05,
|
| 956 |
+
"loss": 0.8491607904434204,
|
| 957 |
+
"step": 133
|
| 958 |
+
},
|
| 959 |
+
{
|
| 960 |
+
"epoch": 0.4096293465800535,
|
| 961 |
+
"grad_norm": 0.12012261897325516,
|
| 962 |
+
"learning_rate": 1.937034279535533e-05,
|
| 963 |
+
"loss": 0.7269159555435181,
|
| 964 |
+
"step": 134
|
| 965 |
+
},
|
| 966 |
+
{
|
| 967 |
+
"epoch": 0.4126862820022927,
|
| 968 |
+
"grad_norm": 0.15302567183971405,
|
| 969 |
+
"learning_rate": 1.9351614085911134e-05,
|
| 970 |
+
"loss": 0.8560839891433716,
|
| 971 |
+
"step": 135
|
| 972 |
+
},
|
| 973 |
+
{
|
| 974 |
+
"epoch": 0.4157432174245319,
|
| 975 |
+
"grad_norm": 0.12234190106391907,
|
| 976 |
+
"learning_rate": 1.933262023279137e-05,
|
| 977 |
+
"loss": 0.8211904764175415,
|
| 978 |
+
"step": 136
|
| 979 |
+
},
|
| 980 |
+
{
|
| 981 |
+
"epoch": 0.41880015284677113,
|
| 982 |
+
"grad_norm": 0.14427296817302704,
|
| 983 |
+
"learning_rate": 1.9313361774523387e-05,
|
| 984 |
+
"loss": 0.8500057458877563,
|
| 985 |
+
"step": 137
|
| 986 |
+
},
|
| 987 |
+
{
|
| 988 |
+
"epoch": 0.4218570882690103,
|
| 989 |
+
"grad_norm": 0.1314094066619873,
|
| 990 |
+
"learning_rate": 1.929383925713682e-05,
|
| 991 |
+
"loss": 0.7589091658592224,
|
| 992 |
+
"step": 138
|
| 993 |
+
},
|
| 994 |
+
{
|
| 995 |
+
"epoch": 0.42491402369124953,
|
| 996 |
+
"grad_norm": 0.1576734483242035,
|
| 997 |
+
"learning_rate": 1.92740532341481e-05,
|
| 998 |
+
"loss": 0.7581073641777039,
|
| 999 |
+
"step": 139
|
| 1000 |
+
},
|
| 1001 |
+
{
|
| 1002 |
+
"epoch": 0.4279709591134887,
|
| 1003 |
+
"grad_norm": 0.15788713097572327,
|
| 1004 |
+
"learning_rate": 1.925400426654475e-05,
|
| 1005 |
+
"loss": 0.809050440788269,
|
| 1006 |
+
"step": 140
|
| 1007 |
+
},
|
| 1008 |
+
{
|
| 1009 |
+
"epoch": 0.43102789453572793,
|
| 1010 |
+
"grad_norm": 0.13364559412002563,
|
| 1011 |
+
"learning_rate": 1.9233692922769497e-05,
|
| 1012 |
+
"loss": 0.7990086078643799,
|
| 1013 |
+
"step": 141
|
| 1014 |
+
},
|
| 1015 |
+
{
|
| 1016 |
+
"epoch": 0.43408482995796716,
|
| 1017 |
+
"grad_norm": 0.14786465466022491,
|
| 1018 |
+
"learning_rate": 1.921311977870413e-05,
|
| 1019 |
+
"loss": 0.8675815463066101,
|
| 1020 |
+
"step": 142
|
| 1021 |
+
},
|
| 1022 |
+
{
|
| 1023 |
+
"epoch": 0.4371417653802063,
|
| 1024 |
+
"grad_norm": 0.14621882140636444,
|
| 1025 |
+
"learning_rate": 1.9192285417653208e-05,
|
| 1026 |
+
"loss": 0.8713765740394592,
|
| 1027 |
+
"step": 143
|
| 1028 |
+
},
|
| 1029 |
+
{
|
| 1030 |
+
"epoch": 0.44019870080244555,
|
| 1031 |
+
"grad_norm": 0.12874048948287964,
|
| 1032 |
+
"learning_rate": 1.917119043032749e-05,
|
| 1033 |
+
"loss": 0.7361871004104614,
|
| 1034 |
+
"step": 144
|
| 1035 |
+
},
|
| 1036 |
+
{
|
| 1037 |
+
"epoch": 0.4432556362246848,
|
| 1038 |
+
"grad_norm": 0.12183775007724762,
|
| 1039 |
+
"learning_rate": 1.9149835414827193e-05,
|
| 1040 |
+
"loss": 0.7311941385269165,
|
| 1041 |
+
"step": 145
|
| 1042 |
+
},
|
| 1043 |
+
{
|
| 1044 |
+
"epoch": 0.44631257164692395,
|
| 1045 |
+
"grad_norm": 0.1397160291671753,
|
| 1046 |
+
"learning_rate": 1.912822097662505e-05,
|
| 1047 |
+
"loss": 0.8189159035682678,
|
| 1048 |
+
"step": 146
|
| 1049 |
+
},
|
| 1050 |
+
{
|
| 1051 |
+
"epoch": 0.4493695070691632,
|
| 1052 |
+
"grad_norm": 0.1458273082971573,
|
| 1053 |
+
"learning_rate": 1.9106347728549134e-05,
|
| 1054 |
+
"loss": 0.8288135528564453,
|
| 1055 |
+
"step": 147
|
| 1056 |
+
},
|
| 1057 |
+
{
|
| 1058 |
+
"epoch": 0.45242644249140235,
|
| 1059 |
+
"grad_norm": 0.16898781061172485,
|
| 1060 |
+
"learning_rate": 1.908421629076547e-05,
|
| 1061 |
+
"loss": 0.7878037095069885,
|
| 1062 |
+
"step": 148
|
| 1063 |
+
},
|
| 1064 |
+
{
|
| 1065 |
+
"epoch": 0.4554833779136416,
|
| 1066 |
+
"grad_norm": 0.1638474315404892,
|
| 1067 |
+
"learning_rate": 1.9061827290760466e-05,
|
| 1068 |
+
"loss": 0.8059952259063721,
|
| 1069 |
+
"step": 149
|
| 1070 |
+
},
|
| 1071 |
+
{
|
| 1072 |
+
"epoch": 0.4585403133358808,
|
| 1073 |
+
"grad_norm": 0.14130882918834686,
|
| 1074 |
+
"learning_rate": 1.9039181363323128e-05,
|
| 1075 |
+
"loss": 0.7346830368041992,
|
| 1076 |
+
"step": 150
|
| 1077 |
+
},
|
| 1078 |
+
{
|
| 1079 |
+
"epoch": 0.4585403133358808,
|
| 1080 |
+
"eval_loss": 0.7979016900062561,
|
| 1081 |
+
"eval_runtime": 828.6295,
|
| 1082 |
+
"eval_samples_per_second": 0.728,
|
| 1083 |
+
"eval_steps_per_second": 0.728,
|
| 1084 |
+
"step": 150
|
| 1085 |
+
},
|
| 1086 |
+
{
|
| 1087 |
+
"epoch": 0.46159724875811997,
|
| 1088 |
+
"grad_norm": 0.14427433907985687,
|
| 1089 |
+
"learning_rate": 1.9016279150527044e-05,
|
| 1090 |
+
"loss": 0.7583403587341309,
|
| 1091 |
+
"step": 151
|
| 1092 |
+
},
|
| 1093 |
+
{
|
| 1094 |
+
"epoch": 0.4646541841803592,
|
| 1095 |
+
"grad_norm": 0.1515798568725586,
|
| 1096 |
+
"learning_rate": 1.8993121301712194e-05,
|
| 1097 |
+
"loss": 0.7908380031585693,
|
| 1098 |
+
"step": 152
|
| 1099 |
+
},
|
| 1100 |
+
{
|
| 1101 |
+
"epoch": 0.46771111960259837,
|
| 1102 |
+
"grad_norm": 0.14444488286972046,
|
| 1103 |
+
"learning_rate": 1.896970847346653e-05,
|
| 1104 |
+
"loss": 0.7916130423545837,
|
| 1105 |
+
"step": 153
|
| 1106 |
+
},
|
| 1107 |
+
{
|
| 1108 |
+
"epoch": 0.4707680550248376,
|
| 1109 |
+
"grad_norm": 0.1460912823677063,
|
| 1110 |
+
"learning_rate": 1.8946041329607364e-05,
|
| 1111 |
+
"loss": 0.7750643491744995,
|
| 1112 |
+
"step": 154
|
| 1113 |
+
},
|
| 1114 |
+
{
|
| 1115 |
+
"epoch": 0.4738249904470768,
|
| 1116 |
+
"grad_norm": 0.13896244764328003,
|
| 1117 |
+
"learning_rate": 1.892212054116255e-05,
|
| 1118 |
+
"loss": 0.8059666156768799,
|
| 1119 |
+
"step": 155
|
| 1120 |
+
},
|
| 1121 |
+
{
|
| 1122 |
+
"epoch": 0.476881925869316,
|
| 1123 |
+
"grad_norm": 0.16133630275726318,
|
| 1124 |
+
"learning_rate": 1.889794678635145e-05,
|
| 1125 |
+
"loss": 0.8327827453613281,
|
| 1126 |
+
"step": 156
|
| 1127 |
+
},
|
| 1128 |
+
{
|
| 1129 |
+
"epoch": 0.4799388612915552,
|
| 1130 |
+
"grad_norm": 0.1474636346101761,
|
| 1131 |
+
"learning_rate": 1.8873520750565716e-05,
|
| 1132 |
+
"loss": 0.8498989343643188,
|
| 1133 |
+
"step": 157
|
| 1134 |
+
},
|
| 1135 |
+
{
|
| 1136 |
+
"epoch": 0.48299579671379445,
|
| 1137 |
+
"grad_norm": 0.17222349345684052,
|
| 1138 |
+
"learning_rate": 1.884884312634985e-05,
|
| 1139 |
+
"loss": 0.7750177979469299,
|
| 1140 |
+
"step": 158
|
| 1141 |
+
},
|
| 1142 |
+
{
|
| 1143 |
+
"epoch": 0.4860527321360336,
|
| 1144 |
+
"grad_norm": 0.15558090806007385,
|
| 1145 |
+
"learning_rate": 1.8823914613381568e-05,
|
| 1146 |
+
"loss": 0.7326169013977051,
|
| 1147 |
+
"step": 159
|
| 1148 |
+
},
|
| 1149 |
+
{
|
| 1150 |
+
"epoch": 0.48910966755827284,
|
| 1151 |
+
"grad_norm": 0.13808321952819824,
|
| 1152 |
+
"learning_rate": 1.8798735918451963e-05,
|
| 1153 |
+
"loss": 0.8308709859848022,
|
| 1154 |
+
"step": 160
|
| 1155 |
+
},
|
| 1156 |
+
{
|
| 1157 |
+
"epoch": 0.492166602980512,
|
| 1158 |
+
"grad_norm": 0.1761898398399353,
|
| 1159 |
+
"learning_rate": 1.8773307755445468e-05,
|
| 1160 |
+
"loss": 0.7805465459823608,
|
| 1161 |
+
"step": 161
|
| 1162 |
+
},
|
| 1163 |
+
{
|
| 1164 |
+
"epoch": 0.49522353840275124,
|
| 1165 |
+
"grad_norm": 0.160477414727211,
|
| 1166 |
+
"learning_rate": 1.874763084531961e-05,
|
| 1167 |
+
"loss": 0.8538846969604492,
|
| 1168 |
+
"step": 162
|
| 1169 |
+
},
|
| 1170 |
+
{
|
| 1171 |
+
"epoch": 0.49828047382499047,
|
| 1172 |
+
"grad_norm": 0.15238745510578156,
|
| 1173 |
+
"learning_rate": 1.872170591608459e-05,
|
| 1174 |
+
"loss": 0.8801217675209045,
|
| 1175 |
+
"step": 163
|
| 1176 |
+
},
|
| 1177 |
+
{
|
| 1178 |
+
"epoch": 0.5013374092472297,
|
| 1179 |
+
"grad_norm": 0.1567080318927765,
|
| 1180 |
+
"learning_rate": 1.86955337027826e-05,
|
| 1181 |
+
"loss": 0.7205259799957275,
|
| 1182 |
+
"step": 164
|
| 1183 |
+
},
|
| 1184 |
+
{
|
| 1185 |
+
"epoch": 0.5043943446694689,
|
| 1186 |
+
"grad_norm": 0.13637851178646088,
|
| 1187 |
+
"learning_rate": 1.866911494746702e-05,
|
| 1188 |
+
"loss": 0.7636491656303406,
|
| 1189 |
+
"step": 165
|
| 1190 |
+
},
|
| 1191 |
+
{
|
| 1192 |
+
"epoch": 0.507451280091708,
|
| 1193 |
+
"grad_norm": 0.15563489496707916,
|
| 1194 |
+
"learning_rate": 1.8642450399181373e-05,
|
| 1195 |
+
"loss": 0.7982497811317444,
|
| 1196 |
+
"step": 166
|
| 1197 |
+
},
|
| 1198 |
+
{
|
| 1199 |
+
"epoch": 0.5105082155139473,
|
| 1200 |
+
"grad_norm": 0.15503396093845367,
|
| 1201 |
+
"learning_rate": 1.8615540813938063e-05,
|
| 1202 |
+
"loss": 0.8737778067588806,
|
| 1203 |
+
"step": 167
|
| 1204 |
+
},
|
| 1205 |
+
{
|
| 1206 |
+
"epoch": 0.5135651509361865,
|
| 1207 |
+
"grad_norm": 0.16095557808876038,
|
| 1208 |
+
"learning_rate": 1.8588386954696972e-05,
|
| 1209 |
+
"loss": 0.796604335308075,
|
| 1210 |
+
"step": 168
|
| 1211 |
+
},
|
| 1212 |
+
{
|
| 1213 |
+
"epoch": 0.5166220863584257,
|
| 1214 |
+
"grad_norm": 0.1713593453168869,
|
| 1215 |
+
"learning_rate": 1.856098959134381e-05,
|
| 1216 |
+
"loss": 0.8247392177581787,
|
| 1217 |
+
"step": 169
|
| 1218 |
+
},
|
| 1219 |
+
{
|
| 1220 |
+
"epoch": 0.5196790217806648,
|
| 1221 |
+
"grad_norm": 0.18239113688468933,
|
| 1222 |
+
"learning_rate": 1.8533349500668295e-05,
|
| 1223 |
+
"loss": 0.7838484644889832,
|
| 1224 |
+
"step": 170
|
| 1225 |
+
},
|
| 1226 |
+
{
|
| 1227 |
+
"epoch": 0.5227359572029041,
|
| 1228 |
+
"grad_norm": 0.15745767951011658,
|
| 1229 |
+
"learning_rate": 1.850546746634211e-05,
|
| 1230 |
+
"loss": 0.7856907248497009,
|
| 1231 |
+
"step": 171
|
| 1232 |
+
},
|
| 1233 |
+
{
|
| 1234 |
+
"epoch": 0.5257928926251433,
|
| 1235 |
+
"grad_norm": 0.16820666193962097,
|
| 1236 |
+
"learning_rate": 1.8477344278896708e-05,
|
| 1237 |
+
"loss": 0.7829679846763611,
|
| 1238 |
+
"step": 172
|
| 1239 |
+
},
|
| 1240 |
+
{
|
| 1241 |
+
"epoch": 0.5288498280473825,
|
| 1242 |
+
"grad_norm": 0.16975544393062592,
|
| 1243 |
+
"learning_rate": 1.84489807357009e-05,
|
| 1244 |
+
"loss": 0.7374375462532043,
|
| 1245 |
+
"step": 173
|
| 1246 |
+
},
|
| 1247 |
+
{
|
| 1248 |
+
"epoch": 0.5319067634696217,
|
| 1249 |
+
"grad_norm": 0.167228102684021,
|
| 1250 |
+
"learning_rate": 1.8420377640938204e-05,
|
| 1251 |
+
"loss": 0.712837815284729,
|
| 1252 |
+
"step": 174
|
| 1253 |
+
},
|
| 1254 |
+
{
|
| 1255 |
+
"epoch": 0.5349636988918609,
|
| 1256 |
+
"grad_norm": 0.15955154597759247,
|
| 1257 |
+
"learning_rate": 1.839153580558411e-05,
|
| 1258 |
+
"loss": 0.7645693421363831,
|
| 1259 |
+
"step": 175
|
| 1260 |
+
},
|
| 1261 |
+
{
|
| 1262 |
+
"epoch": 0.5380206343141001,
|
| 1263 |
+
"grad_norm": 0.18378689885139465,
|
| 1264 |
+
"learning_rate": 1.8362456047383032e-05,
|
| 1265 |
+
"loss": 0.7974956631660461,
|
| 1266 |
+
"step": 176
|
| 1267 |
+
},
|
| 1268 |
+
{
|
| 1269 |
+
"epoch": 0.5410775697363394,
|
| 1270 |
+
"grad_norm": 0.15777672827243805,
|
| 1271 |
+
"learning_rate": 1.833313919082515e-05,
|
| 1272 |
+
"loss": 0.8957571983337402,
|
| 1273 |
+
"step": 177
|
| 1274 |
+
},
|
| 1275 |
+
{
|
| 1276 |
+
"epoch": 0.5441345051585785,
|
| 1277 |
+
"grad_norm": 0.15292386710643768,
|
| 1278 |
+
"learning_rate": 1.8303586067123028e-05,
|
| 1279 |
+
"loss": 0.7635619044303894,
|
| 1280 |
+
"step": 178
|
| 1281 |
+
},
|
| 1282 |
+
{
|
| 1283 |
+
"epoch": 0.5471914405808177,
|
| 1284 |
+
"grad_norm": 0.178152397274971,
|
| 1285 |
+
"learning_rate": 1.8273797514188043e-05,
|
| 1286 |
+
"loss": 0.7849246263504028,
|
| 1287 |
+
"step": 179
|
| 1288 |
+
},
|
| 1289 |
+
{
|
| 1290 |
+
"epoch": 0.550248376003057,
|
| 1291 |
+
"grad_norm": 0.15916013717651367,
|
| 1292 |
+
"learning_rate": 1.824377437660663e-05,
|
| 1293 |
+
"loss": 0.6975343227386475,
|
| 1294 |
+
"step": 180
|
| 1295 |
+
},
|
| 1296 |
+
{
|
| 1297 |
+
"epoch": 0.5533053114252962,
|
| 1298 |
+
"grad_norm": 0.18172231316566467,
|
| 1299 |
+
"learning_rate": 1.821351750561634e-05,
|
| 1300 |
+
"loss": 0.7675164341926575,
|
| 1301 |
+
"step": 181
|
| 1302 |
+
},
|
| 1303 |
+
{
|
| 1304 |
+
"epoch": 0.5563622468475353,
|
| 1305 |
+
"grad_norm": 0.16241903603076935,
|
| 1306 |
+
"learning_rate": 1.818302775908169e-05,
|
| 1307 |
+
"loss": 0.7950343489646912,
|
| 1308 |
+
"step": 182
|
| 1309 |
+
},
|
| 1310 |
+
{
|
| 1311 |
+
"epoch": 0.5594191822697746,
|
| 1312 |
+
"grad_norm": 0.18727579712867737,
|
| 1313 |
+
"learning_rate": 1.8152306001469875e-05,
|
| 1314 |
+
"loss": 0.787315309047699,
|
| 1315 |
+
"step": 183
|
| 1316 |
+
},
|
| 1317 |
+
{
|
| 1318 |
+
"epoch": 0.5624761176920138,
|
| 1319 |
+
"grad_norm": 0.1627933531999588,
|
| 1320 |
+
"learning_rate": 1.8121353103826213e-05,
|
| 1321 |
+
"loss": 0.7141211628913879,
|
| 1322 |
+
"step": 184
|
| 1323 |
+
},
|
| 1324 |
+
{
|
| 1325 |
+
"epoch": 0.565533053114253,
|
| 1326 |
+
"grad_norm": 0.4369247555732727,
|
| 1327 |
+
"learning_rate": 1.8090169943749477e-05,
|
| 1328 |
+
"loss": 0.8476608395576477,
|
| 1329 |
+
"step": 185
|
| 1330 |
+
},
|
| 1331 |
+
{
|
| 1332 |
+
"epoch": 0.5685899885364921,
|
| 1333 |
+
"grad_norm": 0.16494786739349365,
|
| 1334 |
+
"learning_rate": 1.8058757405367003e-05,
|
| 1335 |
+
"loss": 0.720562756061554,
|
| 1336 |
+
"step": 186
|
| 1337 |
+
},
|
| 1338 |
+
{
|
| 1339 |
+
"epoch": 0.5716469239587314,
|
| 1340 |
+
"grad_norm": 0.175015389919281,
|
| 1341 |
+
"learning_rate": 1.8027116379309637e-05,
|
| 1342 |
+
"loss": 0.7589252591133118,
|
| 1343 |
+
"step": 187
|
| 1344 |
+
},
|
| 1345 |
+
{
|
| 1346 |
+
"epoch": 0.5747038593809706,
|
| 1347 |
+
"grad_norm": 0.1769978553056717,
|
| 1348 |
+
"learning_rate": 1.799524776268646e-05,
|
| 1349 |
+
"loss": 0.7644155621528625,
|
| 1350 |
+
"step": 188
|
| 1351 |
+
},
|
| 1352 |
+
{
|
| 1353 |
+
"epoch": 0.5777607948032097,
|
| 1354 |
+
"grad_norm": 0.18481792509555817,
|
| 1355 |
+
"learning_rate": 1.796315245905936e-05,
|
| 1356 |
+
"loss": 0.7885835766792297,
|
| 1357 |
+
"step": 189
|
| 1358 |
+
},
|
| 1359 |
+
{
|
| 1360 |
+
"epoch": 0.580817730225449,
|
| 1361 |
+
"grad_norm": 0.1668689250946045,
|
| 1362 |
+
"learning_rate": 1.7930831378417437e-05,
|
| 1363 |
+
"loss": 0.7377231121063232,
|
| 1364 |
+
"step": 190
|
| 1365 |
+
},
|
| 1366 |
+
{
|
| 1367 |
+
"epoch": 0.5838746656476882,
|
| 1368 |
+
"grad_norm": 0.178734689950943,
|
| 1369 |
+
"learning_rate": 1.7898285437151163e-05,
|
| 1370 |
+
"loss": 0.7388894557952881,
|
| 1371 |
+
"step": 191
|
| 1372 |
+
},
|
| 1373 |
+
{
|
| 1374 |
+
"epoch": 0.5869316010699274,
|
| 1375 |
+
"grad_norm": 0.1740068644285202,
|
| 1376 |
+
"learning_rate": 1.786551555802643e-05,
|
| 1377 |
+
"loss": 0.8209859728813171,
|
| 1378 |
+
"step": 192
|
| 1379 |
+
},
|
| 1380 |
+
{
|
| 1381 |
+
"epoch": 0.5899885364921666,
|
| 1382 |
+
"grad_norm": 0.19211041927337646,
|
| 1383 |
+
"learning_rate": 1.783252267015837e-05,
|
| 1384 |
+
"loss": 0.7305737733840942,
|
| 1385 |
+
"step": 193
|
| 1386 |
+
},
|
| 1387 |
+
{
|
| 1388 |
+
"epoch": 0.5930454719144058,
|
| 1389 |
+
"grad_norm": 0.16644936800003052,
|
| 1390 |
+
"learning_rate": 1.779930770898503e-05,
|
| 1391 |
+
"loss": 0.7760804891586304,
|
| 1392 |
+
"step": 194
|
| 1393 |
+
},
|
| 1394 |
+
{
|
| 1395 |
+
"epoch": 0.596102407336645,
|
| 1396 |
+
"grad_norm": 0.1773686707019806,
|
| 1397 |
+
"learning_rate": 1.776587161624083e-05,
|
| 1398 |
+
"loss": 0.7879236936569214,
|
| 1399 |
+
"step": 195
|
| 1400 |
+
},
|
| 1401 |
+
{
|
| 1402 |
+
"epoch": 0.5991593427588843,
|
| 1403 |
+
"grad_norm": 0.17508819699287415,
|
| 1404 |
+
"learning_rate": 1.7732215339929874e-05,
|
| 1405 |
+
"loss": 0.7307407259941101,
|
| 1406 |
+
"step": 196
|
| 1407 |
+
},
|
| 1408 |
+
{
|
| 1409 |
+
"epoch": 0.6022162781811234,
|
| 1410 |
+
"grad_norm": 0.17211101949214935,
|
| 1411 |
+
"learning_rate": 1.7698339834299064e-05,
|
| 1412 |
+
"loss": 0.7293214797973633,
|
| 1413 |
+
"step": 197
|
| 1414 |
+
},
|
| 1415 |
+
{
|
| 1416 |
+
"epoch": 0.6052732136033626,
|
| 1417 |
+
"grad_norm": 0.18085215985774994,
|
| 1418 |
+
"learning_rate": 1.7664246059811058e-05,
|
| 1419 |
+
"loss": 0.763083279132843,
|
| 1420 |
+
"step": 198
|
| 1421 |
+
},
|
| 1422 |
+
{
|
| 1423 |
+
"epoch": 0.6083301490256018,
|
| 1424 |
+
"grad_norm": 0.20243075489997864,
|
| 1425 |
+
"learning_rate": 1.7629934983117025e-05,
|
| 1426 |
+
"loss": 0.7372676134109497,
|
| 1427 |
+
"step": 199
|
| 1428 |
+
},
|
| 1429 |
+
{
|
| 1430 |
+
"epoch": 0.6113870844478411,
|
| 1431 |
+
"grad_norm": 0.18152795732021332,
|
| 1432 |
+
"learning_rate": 1.759540757702924e-05,
|
| 1433 |
+
"loss": 0.7121898531913757,
|
| 1434 |
+
"step": 200
|
| 1435 |
+
},
|
| 1436 |
+
{
|
| 1437 |
+
"epoch": 0.6113870844478411,
|
| 1438 |
+
"eval_loss": 0.7551760673522949,
|
| 1439 |
+
"eval_runtime": 900.209,
|
| 1440 |
+
"eval_samples_per_second": 0.67,
|
| 1441 |
+
"eval_steps_per_second": 0.67,
|
| 1442 |
+
"step": 200
|
| 1443 |
+
},
|
| 1444 |
+
{
|
| 1445 |
+
"epoch": 0.6144440198700802,
|
| 1446 |
+
"grad_norm": 0.18808062374591827,
|
| 1447 |
+
"learning_rate": 1.7560664820493502e-05,
|
| 1448 |
+
"loss": 0.734307050704956,
|
| 1449 |
+
"step": 201
|
| 1450 |
+
},
|
| 1451 |
+
{
|
| 1452 |
+
"epoch": 0.6175009552923194,
|
| 1453 |
+
"grad_norm": 0.18151243031024933,
|
| 1454 |
+
"learning_rate": 1.7525707698561383e-05,
|
| 1455 |
+
"loss": 0.7998429536819458,
|
| 1456 |
+
"step": 202
|
| 1457 |
+
},
|
| 1458 |
+
{
|
| 1459 |
+
"epoch": 0.6205578907145587,
|
| 1460 |
+
"grad_norm": 0.19583043456077576,
|
| 1461 |
+
"learning_rate": 1.7490537202362313e-05,
|
| 1462 |
+
"loss": 0.7546265721321106,
|
| 1463 |
+
"step": 203
|
| 1464 |
+
},
|
| 1465 |
+
{
|
| 1466 |
+
"epoch": 0.6236148261367979,
|
| 1467 |
+
"grad_norm": 0.2508557140827179,
|
| 1468 |
+
"learning_rate": 1.7455154329075427e-05,
|
| 1469 |
+
"loss": 0.7810050249099731,
|
| 1470 |
+
"step": 204
|
| 1471 |
+
},
|
| 1472 |
+
{
|
| 1473 |
+
"epoch": 0.626671761559037,
|
| 1474 |
+
"grad_norm": 0.1685105562210083,
|
| 1475 |
+
"learning_rate": 1.741956008190136e-05,
|
| 1476 |
+
"loss": 0.7558917999267578,
|
| 1477 |
+
"step": 205
|
| 1478 |
+
},
|
| 1479 |
+
{
|
| 1480 |
+
"epoch": 0.6297286969812763,
|
| 1481 |
+
"grad_norm": 0.18195222318172455,
|
| 1482 |
+
"learning_rate": 1.7383755470033756e-05,
|
| 1483 |
+
"loss": 0.7216942310333252,
|
| 1484 |
+
"step": 206
|
| 1485 |
+
},
|
| 1486 |
+
{
|
| 1487 |
+
"epoch": 0.6327856324035155,
|
| 1488 |
+
"grad_norm": 0.1878063678741455,
|
| 1489 |
+
"learning_rate": 1.7347741508630673e-05,
|
| 1490 |
+
"loss": 0.7417092323303223,
|
| 1491 |
+
"step": 207
|
| 1492 |
+
},
|
| 1493 |
+
{
|
| 1494 |
+
"epoch": 0.6358425678257547,
|
| 1495 |
+
"grad_norm": 0.25273698568344116,
|
| 1496 |
+
"learning_rate": 1.73115192187858e-05,
|
| 1497 |
+
"loss": 0.807498037815094,
|
| 1498 |
+
"step": 208
|
| 1499 |
+
},
|
| 1500 |
+
{
|
| 1501 |
+
"epoch": 0.6388995032479939,
|
| 1502 |
+
"grad_norm": 0.2451465129852295,
|
| 1503 |
+
"learning_rate": 1.7275089627499493e-05,
|
| 1504 |
+
"loss": 0.7557163238525391,
|
| 1505 |
+
"step": 209
|
| 1506 |
+
},
|
| 1507 |
+
{
|
| 1508 |
+
"epoch": 0.6419564386702331,
|
| 1509 |
+
"grad_norm": 0.19272617995738983,
|
| 1510 |
+
"learning_rate": 1.7238453767649683e-05,
|
| 1511 |
+
"loss": 0.8285109996795654,
|
| 1512 |
+
"step": 210
|
| 1513 |
+
},
|
| 1514 |
+
{
|
| 1515 |
+
"epoch": 0.6450133740924723,
|
| 1516 |
+
"grad_norm": 0.1869518756866455,
|
| 1517 |
+
"learning_rate": 1.720161267796256e-05,
|
| 1518 |
+
"loss": 0.7824444770812988,
|
| 1519 |
+
"step": 211
|
| 1520 |
+
},
|
| 1521 |
+
{
|
| 1522 |
+
"epoch": 0.6480703095147115,
|
| 1523 |
+
"grad_norm": 0.2029627561569214,
|
| 1524 |
+
"learning_rate": 1.7164567402983153e-05,
|
| 1525 |
+
"loss": 0.7018642425537109,
|
| 1526 |
+
"step": 212
|
| 1527 |
+
},
|
| 1528 |
+
{
|
| 1529 |
+
"epoch": 0.6511272449369507,
|
| 1530 |
+
"grad_norm": 0.23215501010417938,
|
| 1531 |
+
"learning_rate": 1.7127318993045686e-05,
|
| 1532 |
+
"loss": 0.7263948917388916,
|
| 1533 |
+
"step": 213
|
| 1534 |
+
},
|
| 1535 |
+
{
|
| 1536 |
+
"epoch": 0.6541841803591899,
|
| 1537 |
+
"grad_norm": 0.19869184494018555,
|
| 1538 |
+
"learning_rate": 1.7089868504243816e-05,
|
| 1539 |
+
"loss": 0.8285576105117798,
|
| 1540 |
+
"step": 214
|
| 1541 |
+
},
|
| 1542 |
+
{
|
| 1543 |
+
"epoch": 0.6572411157814291,
|
| 1544 |
+
"grad_norm": 0.22871531546115875,
|
| 1545 |
+
"learning_rate": 1.705221699840069e-05,
|
| 1546 |
+
"loss": 0.7871490716934204,
|
| 1547 |
+
"step": 215
|
| 1548 |
+
},
|
| 1549 |
+
{
|
| 1550 |
+
"epoch": 0.6602980512036684,
|
| 1551 |
+
"grad_norm": 0.17945580184459686,
|
| 1552 |
+
"learning_rate": 1.701436554303882e-05,
|
| 1553 |
+
"loss": 0.740180492401123,
|
| 1554 |
+
"step": 216
|
| 1555 |
+
},
|
| 1556 |
+
{
|
| 1557 |
+
"epoch": 0.6633549866259075,
|
| 1558 |
+
"grad_norm": 0.20516762137413025,
|
| 1559 |
+
"learning_rate": 1.6976315211349848e-05,
|
| 1560 |
+
"loss": 0.7542892098426819,
|
| 1561 |
+
"step": 217
|
| 1562 |
+
},
|
| 1563 |
+
{
|
| 1564 |
+
"epoch": 0.6664119220481467,
|
| 1565 |
+
"grad_norm": 0.22108283638954163,
|
| 1566 |
+
"learning_rate": 1.6938067082164093e-05,
|
| 1567 |
+
"loss": 0.8117404580116272,
|
| 1568 |
+
"step": 218
|
| 1569 |
+
},
|
| 1570 |
+
{
|
| 1571 |
+
"epoch": 0.669468857470386,
|
| 1572 |
+
"grad_norm": 0.22329698503017426,
|
| 1573 |
+
"learning_rate": 1.6899622239919965e-05,
|
| 1574 |
+
"loss": 0.8002716898918152,
|
| 1575 |
+
"step": 219
|
| 1576 |
+
},
|
| 1577 |
+
{
|
| 1578 |
+
"epoch": 0.6725257928926252,
|
| 1579 |
+
"grad_norm": 0.23545362055301666,
|
| 1580 |
+
"learning_rate": 1.6860981774633228e-05,
|
| 1581 |
+
"loss": 0.7750573754310608,
|
| 1582 |
+
"step": 220
|
| 1583 |
+
},
|
| 1584 |
+
{
|
| 1585 |
+
"epoch": 0.6755827283148643,
|
| 1586 |
+
"grad_norm": 0.21816480159759521,
|
| 1587 |
+
"learning_rate": 1.6822146781866097e-05,
|
| 1588 |
+
"loss": 0.8051223754882812,
|
| 1589 |
+
"step": 221
|
| 1590 |
+
},
|
| 1591 |
+
{
|
| 1592 |
+
"epoch": 0.6786396637371036,
|
| 1593 |
+
"grad_norm": 0.18638508021831512,
|
| 1594 |
+
"learning_rate": 1.6783118362696162e-05,
|
| 1595 |
+
"loss": 0.7286484241485596,
|
| 1596 |
+
"step": 222
|
| 1597 |
+
},
|
| 1598 |
+
{
|
| 1599 |
+
"epoch": 0.6816965991593428,
|
| 1600 |
+
"grad_norm": 0.16794732213020325,
|
| 1601 |
+
"learning_rate": 1.6743897623685178e-05,
|
| 1602 |
+
"loss": 0.7001460194587708,
|
| 1603 |
+
"step": 223
|
| 1604 |
+
},
|
| 1605 |
+
{
|
| 1606 |
+
"epoch": 0.684753534581582,
|
| 1607 |
+
"grad_norm": 0.21157318353652954,
|
| 1608 |
+
"learning_rate": 1.6704485676847695e-05,
|
| 1609 |
+
"loss": 0.7479901313781738,
|
| 1610 |
+
"step": 224
|
| 1611 |
+
},
|
| 1612 |
+
{
|
| 1613 |
+
"epoch": 0.6878104700038211,
|
| 1614 |
+
"grad_norm": 0.35601308941841125,
|
| 1615 |
+
"learning_rate": 1.666488363961952e-05,
|
| 1616 |
+
"loss": 0.7660019397735596,
|
| 1617 |
+
"step": 225
|
| 1618 |
+
},
|
| 1619 |
+
{
|
| 1620 |
+
"epoch": 0.6908674054260604,
|
| 1621 |
+
"grad_norm": 0.17416611313819885,
|
| 1622 |
+
"learning_rate": 1.662509263482604e-05,
|
| 1623 |
+
"loss": 0.7157142162322998,
|
| 1624 |
+
"step": 226
|
| 1625 |
+
},
|
| 1626 |
+
{
|
| 1627 |
+
"epoch": 0.6939243408482996,
|
| 1628 |
+
"grad_norm": 0.19655123353004456,
|
| 1629 |
+
"learning_rate": 1.658511379065039e-05,
|
| 1630 |
+
"loss": 0.7894638776779175,
|
| 1631 |
+
"step": 227
|
| 1632 |
+
},
|
| 1633 |
+
{
|
| 1634 |
+
"epoch": 0.6969812762705387,
|
| 1635 |
+
"grad_norm": 0.2034345269203186,
|
| 1636 |
+
"learning_rate": 1.6544948240601453e-05,
|
| 1637 |
+
"loss": 0.6853711009025574,
|
| 1638 |
+
"step": 228
|
| 1639 |
+
},
|
| 1640 |
+
{
|
| 1641 |
+
"epoch": 0.700038211692778,
|
| 1642 |
+
"grad_norm": 0.199235200881958,
|
| 1643 |
+
"learning_rate": 1.6504597123481737e-05,
|
| 1644 |
+
"loss": 0.7487372756004333,
|
| 1645 |
+
"step": 229
|
| 1646 |
+
},
|
| 1647 |
+
{
|
| 1648 |
+
"epoch": 0.7030951471150172,
|
| 1649 |
+
"grad_norm": 0.20407404005527496,
|
| 1650 |
+
"learning_rate": 1.6464061583355088e-05,
|
| 1651 |
+
"loss": 0.7335573434829712,
|
| 1652 |
+
"step": 230
|
| 1653 |
+
},
|
| 1654 |
+
{
|
| 1655 |
+
"epoch": 0.7061520825372564,
|
| 1656 |
+
"grad_norm": 0.22096174955368042,
|
| 1657 |
+
"learning_rate": 1.6423342769514227e-05,
|
| 1658 |
+
"loss": 0.7659798264503479,
|
| 1659 |
+
"step": 231
|
| 1660 |
+
},
|
| 1661 |
+
{
|
| 1662 |
+
"epoch": 0.7092090179594956,
|
| 1663 |
+
"grad_norm": 0.1916825920343399,
|
| 1664 |
+
"learning_rate": 1.6382441836448203e-05,
|
| 1665 |
+
"loss": 0.7162011861801147,
|
| 1666 |
+
"step": 232
|
| 1667 |
+
},
|
| 1668 |
+
{
|
| 1669 |
+
"epoch": 0.7122659533817348,
|
| 1670 |
+
"grad_norm": 0.20505093038082123,
|
| 1671 |
+
"learning_rate": 1.6341359943809626e-05,
|
| 1672 |
+
"loss": 0.6957600116729736,
|
| 1673 |
+
"step": 233
|
| 1674 |
+
},
|
| 1675 |
+
{
|
| 1676 |
+
"epoch": 0.715322888803974,
|
| 1677 |
+
"grad_norm": 0.19968082010746002,
|
| 1678 |
+
"learning_rate": 1.6300098256381807e-05,
|
| 1679 |
+
"loss": 0.6724053025245667,
|
| 1680 |
+
"step": 234
|
| 1681 |
+
},
|
| 1682 |
+
{
|
| 1683 |
+
"epoch": 0.7183798242262133,
|
| 1684 |
+
"grad_norm": 0.19768832623958588,
|
| 1685 |
+
"learning_rate": 1.625865794404573e-05,
|
| 1686 |
+
"loss": 0.774741530418396,
|
| 1687 |
+
"step": 235
|
| 1688 |
+
},
|
| 1689 |
+
{
|
| 1690 |
+
"epoch": 0.7214367596484524,
|
| 1691 |
+
"grad_norm": 0.19257694482803345,
|
| 1692 |
+
"learning_rate": 1.621704018174688e-05,
|
| 1693 |
+
"loss": 0.6658651828765869,
|
| 1694 |
+
"step": 236
|
| 1695 |
+
},
|
| 1696 |
+
{
|
| 1697 |
+
"epoch": 0.7244936950706916,
|
| 1698 |
+
"grad_norm": 0.21594858169555664,
|
| 1699 |
+
"learning_rate": 1.617524614946192e-05,
|
| 1700 |
+
"loss": 0.810744047164917,
|
| 1701 |
+
"step": 237
|
| 1702 |
+
},
|
| 1703 |
+
{
|
| 1704 |
+
"epoch": 0.7275506304929308,
|
| 1705 |
+
"grad_norm": 0.2107633650302887,
|
| 1706 |
+
"learning_rate": 1.6133277032165264e-05,
|
| 1707 |
+
"loss": 0.7623897194862366,
|
| 1708 |
+
"step": 238
|
| 1709 |
+
},
|
| 1710 |
+
{
|
| 1711 |
+
"epoch": 0.7306075659151701,
|
| 1712 |
+
"grad_norm": 0.20114055275917053,
|
| 1713 |
+
"learning_rate": 1.6091134019795447e-05,
|
| 1714 |
+
"loss": 0.7082816362380981,
|
| 1715 |
+
"step": 239
|
| 1716 |
+
},
|
| 1717 |
+
{
|
| 1718 |
+
"epoch": 0.7336645013374092,
|
| 1719 |
+
"grad_norm": 0.2542732059955597,
|
| 1720 |
+
"learning_rate": 1.604881830722141e-05,
|
| 1721 |
+
"loss": 0.7051193714141846,
|
| 1722 |
+
"step": 240
|
| 1723 |
+
},
|
| 1724 |
+
{
|
| 1725 |
+
"epoch": 0.7367214367596484,
|
| 1726 |
+
"grad_norm": 0.19180485606193542,
|
| 1727 |
+
"learning_rate": 1.600633109420861e-05,
|
| 1728 |
+
"loss": 0.7895385026931763,
|
| 1729 |
+
"step": 241
|
| 1730 |
+
},
|
| 1731 |
+
{
|
| 1732 |
+
"epoch": 0.7397783721818877,
|
| 1733 |
+
"grad_norm": 0.368756502866745,
|
| 1734 |
+
"learning_rate": 1.5963673585385016e-05,
|
| 1735 |
+
"loss": 0.7146293520927429,
|
| 1736 |
+
"step": 242
|
| 1737 |
+
},
|
| 1738 |
+
{
|
| 1739 |
+
"epoch": 0.7428353076041269,
|
| 1740 |
+
"grad_norm": 0.18490125238895416,
|
| 1741 |
+
"learning_rate": 1.5920846990206934e-05,
|
| 1742 |
+
"loss": 0.650428056716919,
|
| 1743 |
+
"step": 243
|
| 1744 |
+
},
|
| 1745 |
+
{
|
| 1746 |
+
"epoch": 0.745892243026366,
|
| 1747 |
+
"grad_norm": 0.23592503368854523,
|
| 1748 |
+
"learning_rate": 1.5877852522924733e-05,
|
| 1749 |
+
"loss": 0.6367110013961792,
|
| 1750 |
+
"step": 244
|
| 1751 |
+
},
|
| 1752 |
+
{
|
| 1753 |
+
"epoch": 0.7489491784486053,
|
| 1754 |
+
"grad_norm": 0.20223264396190643,
|
| 1755 |
+
"learning_rate": 1.5834691402548415e-05,
|
| 1756 |
+
"loss": 0.6563615798950195,
|
| 1757 |
+
"step": 245
|
| 1758 |
+
},
|
| 1759 |
+
{
|
| 1760 |
+
"epoch": 0.7520061138708445,
|
| 1761 |
+
"grad_norm": 0.27459946274757385,
|
| 1762 |
+
"learning_rate": 1.5791364852813047e-05,
|
| 1763 |
+
"loss": 0.7361881136894226,
|
| 1764 |
+
"step": 246
|
| 1765 |
+
},
|
| 1766 |
+
{
|
| 1767 |
+
"epoch": 0.7550630492930837,
|
| 1768 |
+
"grad_norm": 0.21085411310195923,
|
| 1769 |
+
"learning_rate": 1.5747874102144073e-05,
|
| 1770 |
+
"loss": 0.7373813390731812,
|
| 1771 |
+
"step": 247
|
| 1772 |
+
},
|
| 1773 |
+
{
|
| 1774 |
+
"epoch": 0.7581199847153229,
|
| 1775 |
+
"grad_norm": 0.23332320153713226,
|
| 1776 |
+
"learning_rate": 1.5704220383622464e-05,
|
| 1777 |
+
"loss": 0.6971457004547119,
|
| 1778 |
+
"step": 248
|
| 1779 |
+
},
|
| 1780 |
+
{
|
| 1781 |
+
"epoch": 0.7611769201375621,
|
| 1782 |
+
"grad_norm": 0.23525936901569366,
|
| 1783 |
+
"learning_rate": 1.5660404934949798e-05,
|
| 1784 |
+
"loss": 0.6756627559661865,
|
| 1785 |
+
"step": 249
|
| 1786 |
+
},
|
| 1787 |
+
{
|
| 1788 |
+
"epoch": 0.7642338555598013,
|
| 1789 |
+
"grad_norm": 0.2150791585445404,
|
| 1790 |
+
"learning_rate": 1.5616428998413122e-05,
|
| 1791 |
+
"loss": 0.7029792666435242,
|
| 1792 |
+
"step": 250
|
| 1793 |
+
},
|
| 1794 |
+
{
|
| 1795 |
+
"epoch": 0.7642338555598013,
|
| 1796 |
+
"eval_loss": 0.7269901633262634,
|
| 1797 |
+
"eval_runtime": 877.665,
|
| 1798 |
+
"eval_samples_per_second": 0.687,
|
| 1799 |
+
"eval_steps_per_second": 0.687,
|
| 1800 |
+
"step": 250
|
| 1801 |
+
},
|
| 1802 |
+
{
|
| 1803 |
+
"epoch": 0.7672907909820404,
|
| 1804 |
+
"grad_norm": 0.19510552287101746,
|
| 1805 |
+
"learning_rate": 1.5572293820849754e-05,
|
| 1806 |
+
"loss": 0.715162992477417,
|
| 1807 |
+
"step": 251
|
| 1808 |
+
},
|
| 1809 |
+
{
|
| 1810 |
+
"epoch": 0.7703477264042797,
|
| 1811 |
+
"grad_norm": 0.25246763229370117,
|
| 1812 |
+
"learning_rate": 1.5528000653611935e-05,
|
| 1813 |
+
"loss": 0.634660542011261,
|
| 1814 |
+
"step": 252
|
| 1815 |
+
},
|
| 1816 |
+
{
|
| 1817 |
+
"epoch": 0.7734046618265189,
|
| 1818 |
+
"grad_norm": 0.2980027496814728,
|
| 1819 |
+
"learning_rate": 1.5483550752531337e-05,
|
| 1820 |
+
"loss": 0.7154463529586792,
|
| 1821 |
+
"step": 253
|
| 1822 |
+
},
|
| 1823 |
+
{
|
| 1824 |
+
"epoch": 0.7764615972487581,
|
| 1825 |
+
"grad_norm": 0.2730556130409241,
|
| 1826 |
+
"learning_rate": 1.5438945377883463e-05,
|
| 1827 |
+
"loss": 0.8110946416854858,
|
| 1828 |
+
"step": 254
|
| 1829 |
+
},
|
| 1830 |
+
{
|
| 1831 |
+
"epoch": 0.7795185326709974,
|
| 1832 |
+
"grad_norm": 0.17258886992931366,
|
| 1833 |
+
"learning_rate": 1.5394185794351914e-05,
|
| 1834 |
+
"loss": 0.72202467918396,
|
| 1835 |
+
"step": 255
|
| 1836 |
+
},
|
| 1837 |
+
{
|
| 1838 |
+
"epoch": 0.7825754680932365,
|
| 1839 |
+
"grad_norm": 0.19966280460357666,
|
| 1840 |
+
"learning_rate": 1.5349273270992537e-05,
|
| 1841 |
+
"loss": 0.7368704080581665,
|
| 1842 |
+
"step": 256
|
| 1843 |
+
},
|
| 1844 |
+
{
|
| 1845 |
+
"epoch": 0.7856324035154757,
|
| 1846 |
+
"grad_norm": 0.23305682837963104,
|
| 1847 |
+
"learning_rate": 1.5304209081197425e-05,
|
| 1848 |
+
"loss": 0.7429723143577576,
|
| 1849 |
+
"step": 257
|
| 1850 |
+
},
|
| 1851 |
+
{
|
| 1852 |
+
"epoch": 0.788689338937715,
|
| 1853 |
+
"grad_norm": 0.21786810457706451,
|
| 1854 |
+
"learning_rate": 1.5258994502658846e-05,
|
| 1855 |
+
"loss": 0.6498424410820007,
|
| 1856 |
+
"step": 258
|
| 1857 |
+
},
|
| 1858 |
+
{
|
| 1859 |
+
"epoch": 0.7917462743599541,
|
| 1860 |
+
"grad_norm": 0.2370925396680832,
|
| 1861 |
+
"learning_rate": 1.5213630817332985e-05,
|
| 1862 |
+
"loss": 0.7379459142684937,
|
| 1863 |
+
"step": 259
|
| 1864 |
+
},
|
| 1865 |
+
{
|
| 1866 |
+
"epoch": 0.7948032097821933,
|
| 1867 |
+
"grad_norm": 0.25566384196281433,
|
| 1868 |
+
"learning_rate": 1.5168119311403611e-05,
|
| 1869 |
+
"loss": 0.6742876172065735,
|
| 1870 |
+
"step": 260
|
| 1871 |
+
},
|
| 1872 |
+
{
|
| 1873 |
+
"epoch": 0.7978601452044326,
|
| 1874 |
+
"grad_norm": 0.2171633243560791,
|
| 1875 |
+
"learning_rate": 1.512246127524561e-05,
|
| 1876 |
+
"loss": 0.72329181432724,
|
| 1877 |
+
"step": 261
|
| 1878 |
+
},
|
| 1879 |
+
{
|
| 1880 |
+
"epoch": 0.8009170806266718,
|
| 1881 |
+
"grad_norm": 0.23292019963264465,
|
| 1882 |
+
"learning_rate": 1.50766580033884e-05,
|
| 1883 |
+
"loss": 0.765812873840332,
|
| 1884 |
+
"step": 262
|
| 1885 |
+
},
|
| 1886 |
+
{
|
| 1887 |
+
"epoch": 0.8039740160489109,
|
| 1888 |
+
"grad_norm": 0.19427980482578278,
|
| 1889 |
+
"learning_rate": 1.5030710794479226e-05,
|
| 1890 |
+
"loss": 0.7872639298439026,
|
| 1891 |
+
"step": 263
|
| 1892 |
+
},
|
| 1893 |
+
{
|
| 1894 |
+
"epoch": 0.8070309514711502,
|
| 1895 |
+
"grad_norm": 0.2460346817970276,
|
| 1896 |
+
"learning_rate": 1.4984620951246333e-05,
|
| 1897 |
+
"loss": 0.6940722465515137,
|
| 1898 |
+
"step": 264
|
| 1899 |
+
},
|
| 1900 |
+
{
|
| 1901 |
+
"epoch": 0.8100878868933894,
|
| 1902 |
+
"grad_norm": 0.2493411898612976,
|
| 1903 |
+
"learning_rate": 1.4938389780462044e-05,
|
| 1904 |
+
"loss": 0.7680137157440186,
|
| 1905 |
+
"step": 265
|
| 1906 |
+
},
|
| 1907 |
+
{
|
| 1908 |
+
"epoch": 0.8131448223156286,
|
| 1909 |
+
"grad_norm": 0.23873573541641235,
|
| 1910 |
+
"learning_rate": 1.4892018592905702e-05,
|
| 1911 |
+
"loss": 0.6780916452407837,
|
| 1912 |
+
"step": 266
|
| 1913 |
+
},
|
| 1914 |
+
{
|
| 1915 |
+
"epoch": 0.8162017577378677,
|
| 1916 |
+
"grad_norm": 0.2580571174621582,
|
| 1917 |
+
"learning_rate": 1.4845508703326504e-05,
|
| 1918 |
+
"loss": 0.7183764576911926,
|
| 1919 |
+
"step": 267
|
| 1920 |
+
},
|
| 1921 |
+
{
|
| 1922 |
+
"epoch": 0.819258693160107,
|
| 1923 |
+
"grad_norm": 0.2125079482793808,
|
| 1924 |
+
"learning_rate": 1.4798861430406221e-05,
|
| 1925 |
+
"loss": 0.8207096457481384,
|
| 1926 |
+
"step": 268
|
| 1927 |
+
},
|
| 1928 |
+
{
|
| 1929 |
+
"epoch": 0.8223156285823462,
|
| 1930 |
+
"grad_norm": 0.21065691113471985,
|
| 1931 |
+
"learning_rate": 1.4752078096721827e-05,
|
| 1932 |
+
"loss": 0.7414214611053467,
|
| 1933 |
+
"step": 269
|
| 1934 |
+
},
|
| 1935 |
+
{
|
| 1936 |
+
"epoch": 0.8253725640045854,
|
| 1937 |
+
"grad_norm": 0.25807511806488037,
|
| 1938 |
+
"learning_rate": 1.4705160028707976e-05,
|
| 1939 |
+
"loss": 0.7086384296417236,
|
| 1940 |
+
"step": 270
|
| 1941 |
+
},
|
| 1942 |
+
{
|
| 1943 |
+
"epoch": 0.8284294994268246,
|
| 1944 |
+
"grad_norm": 0.2444671094417572,
|
| 1945 |
+
"learning_rate": 1.4658108556619417e-05,
|
| 1946 |
+
"loss": 0.7065964937210083,
|
| 1947 |
+
"step": 271
|
| 1948 |
+
},
|
| 1949 |
+
{
|
| 1950 |
+
"epoch": 0.8314864348490638,
|
| 1951 |
+
"grad_norm": 0.200303316116333,
|
| 1952 |
+
"learning_rate": 1.461092501449326e-05,
|
| 1953 |
+
"loss": 0.7533905506134033,
|
| 1954 |
+
"step": 272
|
| 1955 |
+
},
|
| 1956 |
+
{
|
| 1957 |
+
"epoch": 0.834543370271303,
|
| 1958 |
+
"grad_norm": 0.2807226777076721,
|
| 1959 |
+
"learning_rate": 1.4563610740111163e-05,
|
| 1960 |
+
"loss": 0.756553053855896,
|
| 1961 |
+
"step": 273
|
| 1962 |
+
},
|
| 1963 |
+
{
|
| 1964 |
+
"epoch": 0.8376003056935423,
|
| 1965 |
+
"grad_norm": 0.2516884207725525,
|
| 1966 |
+
"learning_rate": 1.4516167074961394e-05,
|
| 1967 |
+
"loss": 0.8125098347663879,
|
| 1968 |
+
"step": 274
|
| 1969 |
+
},
|
| 1970 |
+
{
|
| 1971 |
+
"epoch": 0.8406572411157814,
|
| 1972 |
+
"grad_norm": 0.22799813747406006,
|
| 1973 |
+
"learning_rate": 1.4468595364200808e-05,
|
| 1974 |
+
"loss": 0.7360811829566956,
|
| 1975 |
+
"step": 275
|
| 1976 |
+
},
|
| 1977 |
+
{
|
| 1978 |
+
"epoch": 0.8437141765380206,
|
| 1979 |
+
"grad_norm": 0.27390384674072266,
|
| 1980 |
+
"learning_rate": 1.4420896956616698e-05,
|
| 1981 |
+
"loss": 0.7135312557220459,
|
| 1982 |
+
"step": 276
|
| 1983 |
+
},
|
| 1984 |
+
{
|
| 1985 |
+
"epoch": 0.8467711119602599,
|
| 1986 |
+
"grad_norm": 0.2811775505542755,
|
| 1987 |
+
"learning_rate": 1.4373073204588556e-05,
|
| 1988 |
+
"loss": 0.7489083409309387,
|
| 1989 |
+
"step": 277
|
| 1990 |
+
},
|
| 1991 |
+
{
|
| 1992 |
+
"epoch": 0.8498280473824991,
|
| 1993 |
+
"grad_norm": 0.2652314603328705,
|
| 1994 |
+
"learning_rate": 1.4325125464049725e-05,
|
| 1995 |
+
"loss": 0.752477765083313,
|
| 1996 |
+
"step": 278
|
| 1997 |
+
},
|
| 1998 |
+
{
|
| 1999 |
+
"epoch": 0.8528849828047382,
|
| 2000 |
+
"grad_norm": 0.2218960076570511,
|
| 2001 |
+
"learning_rate": 1.427705509444897e-05,
|
| 2002 |
+
"loss": 0.6534979939460754,
|
| 2003 |
+
"step": 279
|
| 2004 |
+
},
|
| 2005 |
+
{
|
| 2006 |
+
"epoch": 0.8559419182269774,
|
| 2007 |
+
"grad_norm": 0.23746474087238312,
|
| 2008 |
+
"learning_rate": 1.4228863458711915e-05,
|
| 2009 |
+
"loss": 0.7061883211135864,
|
| 2010 |
+
"step": 280
|
| 2011 |
+
},
|
| 2012 |
+
{
|
| 2013 |
+
"epoch": 0.8589988536492167,
|
| 2014 |
+
"grad_norm": 0.21507228910923004,
|
| 2015 |
+
"learning_rate": 1.4180551923202406e-05,
|
| 2016 |
+
"loss": 0.7044329643249512,
|
| 2017 |
+
"step": 281
|
| 2018 |
+
},
|
| 2019 |
+
{
|
| 2020 |
+
"epoch": 0.8620557890714559,
|
| 2021 |
+
"grad_norm": 0.2412186861038208,
|
| 2022 |
+
"learning_rate": 1.4132121857683782e-05,
|
| 2023 |
+
"loss": 0.706013023853302,
|
| 2024 |
+
"step": 282
|
| 2025 |
+
},
|
| 2026 |
+
{
|
| 2027 |
+
"epoch": 0.865112724493695,
|
| 2028 |
+
"grad_norm": 0.2832106947898865,
|
| 2029 |
+
"learning_rate": 1.4083574635280029e-05,
|
| 2030 |
+
"loss": 0.6572445631027222,
|
| 2031 |
+
"step": 283
|
| 2032 |
+
},
|
| 2033 |
+
{
|
| 2034 |
+
"epoch": 0.8681696599159343,
|
| 2035 |
+
"grad_norm": 0.21925900876522064,
|
| 2036 |
+
"learning_rate": 1.403491163243684e-05,
|
| 2037 |
+
"loss": 0.675041139125824,
|
| 2038 |
+
"step": 284
|
| 2039 |
+
},
|
| 2040 |
+
{
|
| 2041 |
+
"epoch": 0.8712265953381735,
|
| 2042 |
+
"grad_norm": 0.22488665580749512,
|
| 2043 |
+
"learning_rate": 1.3986134228882607e-05,
|
| 2044 |
+
"loss": 0.7474229335784912,
|
| 2045 |
+
"step": 285
|
| 2046 |
+
},
|
| 2047 |
+
{
|
| 2048 |
+
"epoch": 0.8742835307604127,
|
| 2049 |
+
"grad_norm": 0.2221737653017044,
|
| 2050 |
+
"learning_rate": 1.3937243807589291e-05,
|
| 2051 |
+
"loss": 0.7394901514053345,
|
| 2052 |
+
"step": 286
|
| 2053 |
+
},
|
| 2054 |
+
{
|
| 2055 |
+
"epoch": 0.8773404661826519,
|
| 2056 |
+
"grad_norm": 0.29034581780433655,
|
| 2057 |
+
"learning_rate": 1.388824175473321e-05,
|
| 2058 |
+
"loss": 0.7346636056900024,
|
| 2059 |
+
"step": 287
|
| 2060 |
+
},
|
| 2061 |
+
{
|
| 2062 |
+
"epoch": 0.8803974016048911,
|
| 2063 |
+
"grad_norm": 0.2580259144306183,
|
| 2064 |
+
"learning_rate": 1.383912945965574e-05,
|
| 2065 |
+
"loss": 0.8125481009483337,
|
| 2066 |
+
"step": 288
|
| 2067 |
+
},
|
| 2068 |
+
{
|
| 2069 |
+
"epoch": 0.8834543370271303,
|
| 2070 |
+
"grad_norm": 0.2533118724822998,
|
| 2071 |
+
"learning_rate": 1.3789908314823932e-05,
|
| 2072 |
+
"loss": 0.6768131256103516,
|
| 2073 |
+
"step": 289
|
| 2074 |
+
},
|
| 2075 |
+
{
|
| 2076 |
+
"epoch": 0.8865112724493696,
|
| 2077 |
+
"grad_norm": 0.2074616551399231,
|
| 2078 |
+
"learning_rate": 1.3740579715791017e-05,
|
| 2079 |
+
"loss": 0.7096269726753235,
|
| 2080 |
+
"step": 290
|
| 2081 |
+
},
|
| 2082 |
+
{
|
| 2083 |
+
"epoch": 0.8895682078716087,
|
| 2084 |
+
"grad_norm": 0.29789987206459045,
|
| 2085 |
+
"learning_rate": 1.3691145061156843e-05,
|
| 2086 |
+
"loss": 0.6973364353179932,
|
| 2087 |
+
"step": 291
|
| 2088 |
+
},
|
| 2089 |
+
{
|
| 2090 |
+
"epoch": 0.8926251432938479,
|
| 2091 |
+
"grad_norm": 0.2937224805355072,
|
| 2092 |
+
"learning_rate": 1.3641605752528225e-05,
|
| 2093 |
+
"loss": 0.7693608999252319,
|
| 2094 |
+
"step": 292
|
| 2095 |
+
},
|
| 2096 |
+
{
|
| 2097 |
+
"epoch": 0.8956820787160871,
|
| 2098 |
+
"grad_norm": 0.27355870604515076,
|
| 2099 |
+
"learning_rate": 1.3591963194479198e-05,
|
| 2100 |
+
"loss": 0.6870795488357544,
|
| 2101 |
+
"step": 293
|
| 2102 |
+
},
|
| 2103 |
+
{
|
| 2104 |
+
"epoch": 0.8987390141383264,
|
| 2105 |
+
"grad_norm": 0.22792251408100128,
|
| 2106 |
+
"learning_rate": 1.3542218794511212e-05,
|
| 2107 |
+
"loss": 0.7095532417297363,
|
| 2108 |
+
"step": 294
|
| 2109 |
+
},
|
| 2110 |
+
{
|
| 2111 |
+
"epoch": 0.9017959495605655,
|
| 2112 |
+
"grad_norm": 0.2855125665664673,
|
| 2113 |
+
"learning_rate": 1.3492373963013199e-05,
|
| 2114 |
+
"loss": 0.7536489963531494,
|
| 2115 |
+
"step": 295
|
| 2116 |
+
},
|
| 2117 |
+
{
|
| 2118 |
+
"epoch": 0.9048528849828047,
|
| 2119 |
+
"grad_norm": 0.24969056248664856,
|
| 2120 |
+
"learning_rate": 1.3442430113221602e-05,
|
| 2121 |
+
"loss": 0.7433043718338013,
|
| 2122 |
+
"step": 296
|
| 2123 |
+
},
|
| 2124 |
+
{
|
| 2125 |
+
"epoch": 0.907909820405044,
|
| 2126 |
+
"grad_norm": 0.24534980952739716,
|
| 2127 |
+
"learning_rate": 1.3392388661180303e-05,
|
| 2128 |
+
"loss": 0.7204138040542603,
|
| 2129 |
+
"step": 297
|
| 2130 |
+
},
|
| 2131 |
+
{
|
| 2132 |
+
"epoch": 0.9109667558272831,
|
| 2133 |
+
"grad_norm": 0.2540739178657532,
|
| 2134 |
+
"learning_rate": 1.3342251025700474e-05,
|
| 2135 |
+
"loss": 0.7114053964614868,
|
| 2136 |
+
"step": 298
|
| 2137 |
+
},
|
| 2138 |
+
{
|
| 2139 |
+
"epoch": 0.9140236912495223,
|
| 2140 |
+
"grad_norm": 0.2494630217552185,
|
| 2141 |
+
"learning_rate": 1.3292018628320346e-05,
|
| 2142 |
+
"loss": 0.7337151169776917,
|
| 2143 |
+
"step": 299
|
| 2144 |
+
},
|
| 2145 |
+
{
|
| 2146 |
+
"epoch": 0.9170806266717616,
|
| 2147 |
+
"grad_norm": 0.3079741597175598,
|
| 2148 |
+
"learning_rate": 1.3241692893264909e-05,
|
| 2149 |
+
"loss": 0.7486672401428223,
|
| 2150 |
+
"step": 300
|
| 2151 |
+
},
|
| 2152 |
+
{
|
| 2153 |
+
"epoch": 0.9170806266717616,
|
| 2154 |
+
"eval_loss": 0.7063615918159485,
|
| 2155 |
+
"eval_runtime": 882.246,
|
| 2156 |
+
"eval_samples_per_second": 0.683,
|
| 2157 |
+
"eval_steps_per_second": 0.683,
|
| 2158 |
+
"step": 300
|
| 2159 |
+
}
|
| 2160 |
+
],
|
| 2161 |
+
"logging_steps": 1,
|
| 2162 |
+
"max_steps": 656,
|
| 2163 |
+
"num_input_tokens_seen": 0,
|
| 2164 |
+
"num_train_epochs": 2,
|
| 2165 |
+
"save_steps": 100,
|
| 2166 |
+
"stateful_callbacks": {
|
| 2167 |
+
"TrainerControl": {
|
| 2168 |
+
"args": {
|
| 2169 |
+
"should_epoch_stop": false,
|
| 2170 |
+
"should_evaluate": false,
|
| 2171 |
+
"should_log": false,
|
| 2172 |
+
"should_save": true,
|
| 2173 |
+
"should_training_stop": false
|
| 2174 |
+
},
|
| 2175 |
+
"attributes": {}
|
| 2176 |
+
}
|
| 2177 |
+
},
|
| 2178 |
+
"total_flos": 1.6564378492993536e+18,
|
| 2179 |
+
"train_batch_size": 1,
|
| 2180 |
+
"trial_name": null,
|
| 2181 |
+
"trial_params": null
|
| 2182 |
+
}
|
cpt_qwen_14B/checkpoints/checkpoint-300/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d6a8e308e47eb936f678712445b19ddc52638f354c37c813ecaa432f69120a2e
|
| 3 |
+
size 5201
|
cpt_qwen_14B/checkpoints/checkpoint-400/README.md
ADDED
|
@@ -0,0 +1,207 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: /workspace/Models/Qwen2.5-Coder-14B
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:/workspace/Models/Qwen2.5-Coder-14B
|
| 7 |
+
- lora
|
| 8 |
+
- transformers
|
| 9 |
+
---
|
| 10 |
+
|
| 11 |
+
# Model Card for Model ID
|
| 12 |
+
|
| 13 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 14 |
+
|
| 15 |
+
|
| 16 |
+
|
| 17 |
+
## Model Details
|
| 18 |
+
|
| 19 |
+
### Model Description
|
| 20 |
+
|
| 21 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 22 |
+
|
| 23 |
+
|
| 24 |
+
|
| 25 |
+
- **Developed by:** [More Information Needed]
|
| 26 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 27 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 28 |
+
- **Model type:** [More Information Needed]
|
| 29 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 30 |
+
- **License:** [More Information Needed]
|
| 31 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 32 |
+
|
| 33 |
+
### Model Sources [optional]
|
| 34 |
+
|
| 35 |
+
<!-- Provide the basic links for the model. -->
|
| 36 |
+
|
| 37 |
+
- **Repository:** [More Information Needed]
|
| 38 |
+
- **Paper [optional]:** [More Information Needed]
|
| 39 |
+
- **Demo [optional]:** [More Information Needed]
|
| 40 |
+
|
| 41 |
+
## Uses
|
| 42 |
+
|
| 43 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 44 |
+
|
| 45 |
+
### Direct Use
|
| 46 |
+
|
| 47 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 48 |
+
|
| 49 |
+
[More Information Needed]
|
| 50 |
+
|
| 51 |
+
### Downstream Use [optional]
|
| 52 |
+
|
| 53 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 54 |
+
|
| 55 |
+
[More Information Needed]
|
| 56 |
+
|
| 57 |
+
### Out-of-Scope Use
|
| 58 |
+
|
| 59 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 60 |
+
|
| 61 |
+
[More Information Needed]
|
| 62 |
+
|
| 63 |
+
## Bias, Risks, and Limitations
|
| 64 |
+
|
| 65 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 66 |
+
|
| 67 |
+
[More Information Needed]
|
| 68 |
+
|
| 69 |
+
### Recommendations
|
| 70 |
+
|
| 71 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 72 |
+
|
| 73 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 74 |
+
|
| 75 |
+
## How to Get Started with the Model
|
| 76 |
+
|
| 77 |
+
Use the code below to get started with the model.
|
| 78 |
+
|
| 79 |
+
[More Information Needed]
|
| 80 |
+
|
| 81 |
+
## Training Details
|
| 82 |
+
|
| 83 |
+
### Training Data
|
| 84 |
+
|
| 85 |
+
<!-- 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. -->
|
| 86 |
+
|
| 87 |
+
[More Information Needed]
|
| 88 |
+
|
| 89 |
+
### Training Procedure
|
| 90 |
+
|
| 91 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 92 |
+
|
| 93 |
+
#### Preprocessing [optional]
|
| 94 |
+
|
| 95 |
+
[More Information Needed]
|
| 96 |
+
|
| 97 |
+
|
| 98 |
+
#### Training Hyperparameters
|
| 99 |
+
|
| 100 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 101 |
+
|
| 102 |
+
#### Speeds, Sizes, Times [optional]
|
| 103 |
+
|
| 104 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 105 |
+
|
| 106 |
+
[More Information Needed]
|
| 107 |
+
|
| 108 |
+
## Evaluation
|
| 109 |
+
|
| 110 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 111 |
+
|
| 112 |
+
### Testing Data, Factors & Metrics
|
| 113 |
+
|
| 114 |
+
#### Testing Data
|
| 115 |
+
|
| 116 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 117 |
+
|
| 118 |
+
[More Information Needed]
|
| 119 |
+
|
| 120 |
+
#### Factors
|
| 121 |
+
|
| 122 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 123 |
+
|
| 124 |
+
[More Information Needed]
|
| 125 |
+
|
| 126 |
+
#### Metrics
|
| 127 |
+
|
| 128 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 129 |
+
|
| 130 |
+
[More Information Needed]
|
| 131 |
+
|
| 132 |
+
### Results
|
| 133 |
+
|
| 134 |
+
[More Information Needed]
|
| 135 |
+
|
| 136 |
+
#### Summary
|
| 137 |
+
|
| 138 |
+
|
| 139 |
+
|
| 140 |
+
## Model Examination [optional]
|
| 141 |
+
|
| 142 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 143 |
+
|
| 144 |
+
[More Information Needed]
|
| 145 |
+
|
| 146 |
+
## Environmental Impact
|
| 147 |
+
|
| 148 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 149 |
+
|
| 150 |
+
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).
|
| 151 |
+
|
| 152 |
+
- **Hardware Type:** [More Information Needed]
|
| 153 |
+
- **Hours used:** [More Information Needed]
|
| 154 |
+
- **Cloud Provider:** [More Information Needed]
|
| 155 |
+
- **Compute Region:** [More Information Needed]
|
| 156 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 157 |
+
|
| 158 |
+
## Technical Specifications [optional]
|
| 159 |
+
|
| 160 |
+
### Model Architecture and Objective
|
| 161 |
+
|
| 162 |
+
[More Information Needed]
|
| 163 |
+
|
| 164 |
+
### Compute Infrastructure
|
| 165 |
+
|
| 166 |
+
[More Information Needed]
|
| 167 |
+
|
| 168 |
+
#### Hardware
|
| 169 |
+
|
| 170 |
+
[More Information Needed]
|
| 171 |
+
|
| 172 |
+
#### Software
|
| 173 |
+
|
| 174 |
+
[More Information Needed]
|
| 175 |
+
|
| 176 |
+
## Citation [optional]
|
| 177 |
+
|
| 178 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 179 |
+
|
| 180 |
+
**BibTeX:**
|
| 181 |
+
|
| 182 |
+
[More Information Needed]
|
| 183 |
+
|
| 184 |
+
**APA:**
|
| 185 |
+
|
| 186 |
+
[More Information Needed]
|
| 187 |
+
|
| 188 |
+
## Glossary [optional]
|
| 189 |
+
|
| 190 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 191 |
+
|
| 192 |
+
[More Information Needed]
|
| 193 |
+
|
| 194 |
+
## More Information [optional]
|
| 195 |
+
|
| 196 |
+
[More Information Needed]
|
| 197 |
+
|
| 198 |
+
## Model Card Authors [optional]
|
| 199 |
+
|
| 200 |
+
[More Information Needed]
|
| 201 |
+
|
| 202 |
+
## Model Card Contact
|
| 203 |
+
|
| 204 |
+
[More Information Needed]
|
| 205 |
+
### Framework versions
|
| 206 |
+
|
| 207 |
+
- PEFT 0.18.0
|
cpt_qwen_14B/checkpoints/checkpoint-400/adapter_config.json
ADDED
|
@@ -0,0 +1,43 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
+
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "/workspace/Models/Qwen2.5-Coder-14B",
|
| 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": 64,
|
| 20 |
+
"lora_bias": false,
|
| 21 |
+
"lora_dropout": 0.05,
|
| 22 |
+
"megatron_config": null,
|
| 23 |
+
"megatron_core": "megatron.core",
|
| 24 |
+
"modules_to_save": null,
|
| 25 |
+
"peft_type": "LORA",
|
| 26 |
+
"peft_version": "0.18.0",
|
| 27 |
+
"qalora_group_size": 16,
|
| 28 |
+
"r": 32,
|
| 29 |
+
"rank_pattern": {},
|
| 30 |
+
"revision": null,
|
| 31 |
+
"target_modules": [
|
| 32 |
+
"v_proj",
|
| 33 |
+
"q_proj",
|
| 34 |
+
"o_proj",
|
| 35 |
+
"k_proj"
|
| 36 |
+
],
|
| 37 |
+
"target_parameters": null,
|
| 38 |
+
"task_type": "CAUSAL_LM",
|
| 39 |
+
"trainable_token_indices": null,
|
| 40 |
+
"use_dora": false,
|
| 41 |
+
"use_qalora": false,
|
| 42 |
+
"use_rslora": false
|
| 43 |
+
}
|
cpt_qwen_14B/checkpoints/checkpoint-400/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fc35c49614987939ccf4e73733555cd12c1d55e627db1e2f836d2341ca58bd60
|
| 3 |
+
size 201378736
|
cpt_qwen_14B/checkpoints/checkpoint-400/chat_template.jinja
ADDED
|
@@ -0,0 +1,54 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{%- if tools %}
|
| 2 |
+
{{- '<|im_start|>system\n' }}
|
| 3 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 4 |
+
{{- messages[0]['content'] }}
|
| 5 |
+
{%- else %}
|
| 6 |
+
{{- 'You are a helpful assistant.' }}
|
| 7 |
+
{%- endif %}
|
| 8 |
+
{{- "\n\n# 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>" }}
|
| 9 |
+
{%- for tool in tools %}
|
| 10 |
+
{{- "\n" }}
|
| 11 |
+
{{- tool | tojson }}
|
| 12 |
+
{%- endfor %}
|
| 13 |
+
{{- "\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" }}
|
| 14 |
+
{%- else %}
|
| 15 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 16 |
+
{{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
|
| 17 |
+
{%- else %}
|
| 18 |
+
{{- '<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n' }}
|
| 19 |
+
{%- endif %}
|
| 20 |
+
{%- endif %}
|
| 21 |
+
{%- for message in messages %}
|
| 22 |
+
{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
|
| 23 |
+
{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
|
| 24 |
+
{%- elif message.role == "assistant" %}
|
| 25 |
+
{{- '<|im_start|>' + message.role }}
|
| 26 |
+
{%- if message.content %}
|
| 27 |
+
{{- '\n' + message.content }}
|
| 28 |
+
{%- endif %}
|
| 29 |
+
{%- for tool_call in message.tool_calls %}
|
| 30 |
+
{%- if tool_call.function is defined %}
|
| 31 |
+
{%- set tool_call = tool_call.function %}
|
| 32 |
+
{%- endif %}
|
| 33 |
+
{{- '\n<tool_call>\n{"name": "' }}
|
| 34 |
+
{{- tool_call.name }}
|
| 35 |
+
{{- '", "arguments": ' }}
|
| 36 |
+
{{- tool_call.arguments | tojson }}
|
| 37 |
+
{{- '}\n</tool_call>' }}
|
| 38 |
+
{%- endfor %}
|
| 39 |
+
{{- '<|im_end|>\n' }}
|
| 40 |
+
{%- elif message.role == "tool" %}
|
| 41 |
+
{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
|
| 42 |
+
{{- '<|im_start|>user' }}
|
| 43 |
+
{%- endif %}
|
| 44 |
+
{{- '\n<tool_response>\n' }}
|
| 45 |
+
{{- message.content }}
|
| 46 |
+
{{- '\n</tool_response>' }}
|
| 47 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
| 48 |
+
{{- '<|im_end|>\n' }}
|
| 49 |
+
{%- endif %}
|
| 50 |
+
{%- endif %}
|
| 51 |
+
{%- endfor %}
|
| 52 |
+
{%- if add_generation_prompt %}
|
| 53 |
+
{{- '<|im_start|>assistant\n' }}
|
| 54 |
+
{%- endif %}
|
cpt_qwen_14B/checkpoints/checkpoint-400/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:be4e4b976fbe87d4881b1cf906d435f007d6f2c6775114b03ca77718ebb3e099
|
| 3 |
+
size 102698855
|
cpt_qwen_14B/checkpoints/checkpoint-400/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:54f252272095f008d9c3adc5557d863356ce442db9820129678a2dbdeb028a30
|
| 3 |
+
size 14645
|
cpt_qwen_14B/checkpoints/checkpoint-400/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c58aed3093aa166a91339aaba61e306c07de6b4c4581b6fcc79de090acb72707
|
| 3 |
+
size 1465
|
cpt_qwen_14B/checkpoints/checkpoint-400/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3fd169731d2cbde95e10bf356d66d5997fd885dd8dbb6fb4684da3f23b2585d8
|
| 3 |
+
size 11421892
|
cpt_qwen_14B/checkpoints/checkpoint-400/tokenizer_config.json
ADDED
|
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"backend": "tokenizers",
|
| 4 |
+
"bos_token": null,
|
| 5 |
+
"clean_up_tokenization_spaces": false,
|
| 6 |
+
"eos_token": "<|endoftext|>",
|
| 7 |
+
"errors": "replace",
|
| 8 |
+
"extra_special_tokens": [
|
| 9 |
+
"<|im_start|>",
|
| 10 |
+
"<|im_end|>",
|
| 11 |
+
"<|object_ref_start|>",
|
| 12 |
+
"<|object_ref_end|>",
|
| 13 |
+
"<|box_start|>",
|
| 14 |
+
"<|box_end|>",
|
| 15 |
+
"<|quad_start|>",
|
| 16 |
+
"<|quad_end|>",
|
| 17 |
+
"<|vision_start|>",
|
| 18 |
+
"<|vision_end|>",
|
| 19 |
+
"<|vision_pad|>",
|
| 20 |
+
"<|image_pad|>",
|
| 21 |
+
"<|video_pad|>"
|
| 22 |
+
],
|
| 23 |
+
"is_local": true,
|
| 24 |
+
"model_max_length": 32768,
|
| 25 |
+
"pad_token": "<|endoftext|>",
|
| 26 |
+
"split_special_tokens": false,
|
| 27 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 28 |
+
"unk_token": null
|
| 29 |
+
}
|