Upload folder using huggingface_hub
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/README.md +202 -0
- Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/adapter_config.json +29 -0
- Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/adapter_model.safetensors +3 -0
- Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/added_tokens.json +5 -0
- Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1232/README.md +202 -0
- Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1232/adapter_config.json +29 -0
- Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1232/adapter_model.safetensors +3 -0
- Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1232/added_tokens.json +5 -0
- Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1232/merges.txt +0 -0
- Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1232/optimizer.pt +3 -0
- Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1232/rng_state.pth +3 -0
- Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1232/scheduler.pt +3 -0
- Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1232/special_tokens_map.json +14 -0
- Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1232/tokenizer.json +0 -0
- Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1232/tokenizer_config.json +43 -0
- Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1232/trainer_state.json +926 -0
- Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1232/training_args.bin +3 -0
- Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1232/vocab.json +0 -0
- Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1540/README.md +202 -0
- Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1540/adapter_config.json +29 -0
- Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1540/adapter_model.safetensors +3 -0
- Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1540/added_tokens.json +5 -0
- Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1540/merges.txt +0 -0
- Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1540/optimizer.pt +3 -0
- Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1540/rng_state.pth +3 -0
- Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1540/scheduler.pt +3 -0
- Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1540/special_tokens_map.json +14 -0
- Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1540/tokenizer.json +0 -0
- Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1540/tokenizer_config.json +43 -0
- Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1540/trainer_state.json +1151 -0
- Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1540/training_args.bin +3 -0
- Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1540/vocab.json +0 -0
- Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1848/README.md +202 -0
- Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1848/adapter_config.json +29 -0
- Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1848/adapter_model.safetensors +3 -0
- Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1848/added_tokens.json +5 -0
- Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1848/merges.txt +0 -0
- Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1848/optimizer.pt +3 -0
- Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1848/rng_state.pth +3 -0
- Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1848/scheduler.pt +3 -0
- Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1848/special_tokens_map.json +14 -0
- Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1848/tokenizer.json +0 -0
- Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1848/tokenizer_config.json +43 -0
- Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1848/trainer_state.json +1369 -0
- Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1848/training_args.bin +3 -0
- Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1848/vocab.json +0 -0
- Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-2156/README.md +202 -0
- Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-2156/adapter_config.json +29 -0
- Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-2156/adapter_model.safetensors +3 -0
- Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-2156/added_tokens.json +5 -0
Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: Qwen/Qwen2-7B-Instruct
|
| 3 |
+
library_name: peft
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- 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. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
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).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.13.1
|
Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/adapter_config.json
ADDED
|
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "Qwen/Qwen2-7B-Instruct",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": false,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layer_replication": null,
|
| 10 |
+
"layers_pattern": null,
|
| 11 |
+
"layers_to_transform": null,
|
| 12 |
+
"loftq_config": {},
|
| 13 |
+
"lora_alpha": 32,
|
| 14 |
+
"lora_dropout": 0.05,
|
| 15 |
+
"megatron_config": null,
|
| 16 |
+
"megatron_core": "megatron.core",
|
| 17 |
+
"modules_to_save": null,
|
| 18 |
+
"peft_type": "LORA",
|
| 19 |
+
"r": 64,
|
| 20 |
+
"rank_pattern": {},
|
| 21 |
+
"revision": null,
|
| 22 |
+
"target_modules": [
|
| 23 |
+
"v_proj",
|
| 24 |
+
"q_proj"
|
| 25 |
+
],
|
| 26 |
+
"task_type": "CAUSAL_LM",
|
| 27 |
+
"use_dora": false,
|
| 28 |
+
"use_rslora": false
|
| 29 |
+
}
|
Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1ed3340f42cda37489a6e5c1fe55ac4fc0b61564a13f3e573f1f356493f2c11e
|
| 3 |
+
size 80755416
|
Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/added_tokens.json
ADDED
|
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"<|endoftext|>": 151643,
|
| 3 |
+
"<|im_end|>": 151645,
|
| 4 |
+
"<|im_start|>": 151644
|
| 5 |
+
}
|
Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1232/README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: Qwen/Qwen2-7B-Instruct
|
| 3 |
+
library_name: peft
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- 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. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
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).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.13.1
|
Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1232/adapter_config.json
ADDED
|
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "Qwen/Qwen2-7B-Instruct",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": false,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layer_replication": null,
|
| 10 |
+
"layers_pattern": null,
|
| 11 |
+
"layers_to_transform": null,
|
| 12 |
+
"loftq_config": {},
|
| 13 |
+
"lora_alpha": 32,
|
| 14 |
+
"lora_dropout": 0.05,
|
| 15 |
+
"megatron_config": null,
|
| 16 |
+
"megatron_core": "megatron.core",
|
| 17 |
+
"modules_to_save": null,
|
| 18 |
+
"peft_type": "LORA",
|
| 19 |
+
"r": 64,
|
| 20 |
+
"rank_pattern": {},
|
| 21 |
+
"revision": null,
|
| 22 |
+
"target_modules": [
|
| 23 |
+
"v_proj",
|
| 24 |
+
"q_proj"
|
| 25 |
+
],
|
| 26 |
+
"task_type": "CAUSAL_LM",
|
| 27 |
+
"use_dora": false,
|
| 28 |
+
"use_rslora": false
|
| 29 |
+
}
|
Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1232/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:efe1026bc9eacf93dcbb54fd509b6f12ce980fb23cf76981f9622d1bae4a106e
|
| 3 |
+
size 80755416
|
Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1232/added_tokens.json
ADDED
|
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"<|endoftext|>": 151643,
|
| 3 |
+
"<|im_end|>": 151645,
|
| 4 |
+
"<|im_start|>": 151644
|
| 5 |
+
}
|
Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1232/merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1232/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:10ea8d4f112fbf8a1a5d0606f4e0b94eb031f4ea82169f14f99e37b4e0e27f06
|
| 3 |
+
size 41136570
|
Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1232/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:992288852f5b736717aa1b2cfff996b307660d250251aff84fe0dc606906687b
|
| 3 |
+
size 14244
|
Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1232/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:442644f04018009e339745676d855af49e719afd045348ca5915b5bd0a5436e0
|
| 3 |
+
size 1064
|
Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1232/special_tokens_map.json
ADDED
|
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<|im_start|>",
|
| 4 |
+
"<|im_end|>"
|
| 5 |
+
],
|
| 6 |
+
"eos_token": {
|
| 7 |
+
"content": "<|im_end|>",
|
| 8 |
+
"lstrip": false,
|
| 9 |
+
"normalized": false,
|
| 10 |
+
"rstrip": false,
|
| 11 |
+
"single_word": false
|
| 12 |
+
},
|
| 13 |
+
"pad_token": "<|im_end|>"
|
| 14 |
+
}
|
Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1232/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1232/tokenizer_config.json
ADDED
|
@@ -0,0 +1,43 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"added_tokens_decoder": {
|
| 4 |
+
"151643": {
|
| 5 |
+
"content": "<|endoftext|>",
|
| 6 |
+
"lstrip": false,
|
| 7 |
+
"normalized": false,
|
| 8 |
+
"rstrip": false,
|
| 9 |
+
"single_word": false,
|
| 10 |
+
"special": true
|
| 11 |
+
},
|
| 12 |
+
"151644": {
|
| 13 |
+
"content": "<|im_start|>",
|
| 14 |
+
"lstrip": false,
|
| 15 |
+
"normalized": false,
|
| 16 |
+
"rstrip": false,
|
| 17 |
+
"single_word": false,
|
| 18 |
+
"special": true
|
| 19 |
+
},
|
| 20 |
+
"151645": {
|
| 21 |
+
"content": "<|im_end|>",
|
| 22 |
+
"lstrip": false,
|
| 23 |
+
"normalized": false,
|
| 24 |
+
"rstrip": false,
|
| 25 |
+
"single_word": false,
|
| 26 |
+
"special": true
|
| 27 |
+
}
|
| 28 |
+
},
|
| 29 |
+
"additional_special_tokens": [
|
| 30 |
+
"<|im_start|>",
|
| 31 |
+
"<|im_end|>"
|
| 32 |
+
],
|
| 33 |
+
"bos_token": null,
|
| 34 |
+
"chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
|
| 35 |
+
"clean_up_tokenization_spaces": false,
|
| 36 |
+
"eos_token": "<|im_end|>",
|
| 37 |
+
"errors": "replace",
|
| 38 |
+
"model_max_length": 131072,
|
| 39 |
+
"pad_token": "<|im_end|>",
|
| 40 |
+
"split_special_tokens": false,
|
| 41 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 42 |
+
"unk_token": null
|
| 43 |
+
}
|
Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1232/trainer_state.json
ADDED
|
@@ -0,0 +1,926 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 1.765038251876831,
|
| 3 |
+
"best_model_checkpoint": "outputs-001/Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-616",
|
| 4 |
+
"epoch": 4.0,
|
| 5 |
+
"eval_steps": 10,
|
| 6 |
+
"global_step": 1232,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.032467532467532464,
|
| 13 |
+
"grad_norm": 0.31557697057724,
|
| 14 |
+
"learning_rate": 0.0002,
|
| 15 |
+
"loss": 2.4028,
|
| 16 |
+
"step": 10
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.06493506493506493,
|
| 20 |
+
"grad_norm": 0.3265437185764313,
|
| 21 |
+
"learning_rate": 0.0002,
|
| 22 |
+
"loss": 2.1466,
|
| 23 |
+
"step": 20
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.09740259740259741,
|
| 27 |
+
"grad_norm": 0.3424590229988098,
|
| 28 |
+
"learning_rate": 0.0002,
|
| 29 |
+
"loss": 1.9549,
|
| 30 |
+
"step": 30
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.12987012987012986,
|
| 34 |
+
"grad_norm": 0.30609560012817383,
|
| 35 |
+
"learning_rate": 0.0002,
|
| 36 |
+
"loss": 1.8464,
|
| 37 |
+
"step": 40
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.16233766233766234,
|
| 41 |
+
"grad_norm": 0.3285873532295227,
|
| 42 |
+
"learning_rate": 0.0002,
|
| 43 |
+
"loss": 1.9203,
|
| 44 |
+
"step": 50
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.19480519480519481,
|
| 48 |
+
"grad_norm": 0.2855139374732971,
|
| 49 |
+
"learning_rate": 0.0002,
|
| 50 |
+
"loss": 1.7946,
|
| 51 |
+
"step": 60
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.22727272727272727,
|
| 55 |
+
"grad_norm": 0.283848375082016,
|
| 56 |
+
"learning_rate": 0.0002,
|
| 57 |
+
"loss": 1.7618,
|
| 58 |
+
"step": 70
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.2597402597402597,
|
| 62 |
+
"grad_norm": 0.2915274202823639,
|
| 63 |
+
"learning_rate": 0.0002,
|
| 64 |
+
"loss": 1.7875,
|
| 65 |
+
"step": 80
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.2922077922077922,
|
| 69 |
+
"grad_norm": 0.26927152276039124,
|
| 70 |
+
"learning_rate": 0.0002,
|
| 71 |
+
"loss": 1.7673,
|
| 72 |
+
"step": 90
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.3246753246753247,
|
| 76 |
+
"grad_norm": 0.29594847559928894,
|
| 77 |
+
"learning_rate": 0.0002,
|
| 78 |
+
"loss": 1.6726,
|
| 79 |
+
"step": 100
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.35714285714285715,
|
| 83 |
+
"grad_norm": 0.36750105023384094,
|
| 84 |
+
"learning_rate": 0.0002,
|
| 85 |
+
"loss": 1.7333,
|
| 86 |
+
"step": 110
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.38961038961038963,
|
| 90 |
+
"grad_norm": 0.32430270314216614,
|
| 91 |
+
"learning_rate": 0.0002,
|
| 92 |
+
"loss": 1.7772,
|
| 93 |
+
"step": 120
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.42207792207792205,
|
| 97 |
+
"grad_norm": 0.2767448127269745,
|
| 98 |
+
"learning_rate": 0.0002,
|
| 99 |
+
"loss": 1.731,
|
| 100 |
+
"step": 130
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.45454545454545453,
|
| 104 |
+
"grad_norm": 0.244296595454216,
|
| 105 |
+
"learning_rate": 0.0002,
|
| 106 |
+
"loss": 1.7604,
|
| 107 |
+
"step": 140
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.487012987012987,
|
| 111 |
+
"grad_norm": 0.25791823863983154,
|
| 112 |
+
"learning_rate": 0.0002,
|
| 113 |
+
"loss": 1.7172,
|
| 114 |
+
"step": 150
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.5194805194805194,
|
| 118 |
+
"grad_norm": 0.25496479868888855,
|
| 119 |
+
"learning_rate": 0.0002,
|
| 120 |
+
"loss": 1.7509,
|
| 121 |
+
"step": 160
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.551948051948052,
|
| 125 |
+
"grad_norm": 0.2770450711250305,
|
| 126 |
+
"learning_rate": 0.0002,
|
| 127 |
+
"loss": 1.7328,
|
| 128 |
+
"step": 170
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.5844155844155844,
|
| 132 |
+
"grad_norm": 0.2971339821815491,
|
| 133 |
+
"learning_rate": 0.0002,
|
| 134 |
+
"loss": 1.8008,
|
| 135 |
+
"step": 180
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.6168831168831169,
|
| 139 |
+
"grad_norm": 0.3165527880191803,
|
| 140 |
+
"learning_rate": 0.0002,
|
| 141 |
+
"loss": 1.6805,
|
| 142 |
+
"step": 190
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.6493506493506493,
|
| 146 |
+
"grad_norm": 0.24732241034507751,
|
| 147 |
+
"learning_rate": 0.0002,
|
| 148 |
+
"loss": 1.732,
|
| 149 |
+
"step": 200
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.6818181818181818,
|
| 153 |
+
"grad_norm": 0.28333306312561035,
|
| 154 |
+
"learning_rate": 0.0002,
|
| 155 |
+
"loss": 1.6933,
|
| 156 |
+
"step": 210
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.7142857142857143,
|
| 160 |
+
"grad_norm": 0.24870498478412628,
|
| 161 |
+
"learning_rate": 0.0002,
|
| 162 |
+
"loss": 1.7324,
|
| 163 |
+
"step": 220
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.7467532467532467,
|
| 167 |
+
"grad_norm": 0.2484978884458542,
|
| 168 |
+
"learning_rate": 0.0002,
|
| 169 |
+
"loss": 1.7697,
|
| 170 |
+
"step": 230
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.7792207792207793,
|
| 174 |
+
"grad_norm": 0.2282458394765854,
|
| 175 |
+
"learning_rate": 0.0002,
|
| 176 |
+
"loss": 1.7624,
|
| 177 |
+
"step": 240
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.8116883116883117,
|
| 181 |
+
"grad_norm": 0.2552148699760437,
|
| 182 |
+
"learning_rate": 0.0002,
|
| 183 |
+
"loss": 1.7775,
|
| 184 |
+
"step": 250
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 0.8441558441558441,
|
| 188 |
+
"grad_norm": 0.25136545300483704,
|
| 189 |
+
"learning_rate": 0.0002,
|
| 190 |
+
"loss": 1.7153,
|
| 191 |
+
"step": 260
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.8766233766233766,
|
| 195 |
+
"grad_norm": 0.25096797943115234,
|
| 196 |
+
"learning_rate": 0.0002,
|
| 197 |
+
"loss": 1.7705,
|
| 198 |
+
"step": 270
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 0.9090909090909091,
|
| 202 |
+
"grad_norm": 0.3148603141307831,
|
| 203 |
+
"learning_rate": 0.0002,
|
| 204 |
+
"loss": 1.7842,
|
| 205 |
+
"step": 280
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 0.9415584415584416,
|
| 209 |
+
"grad_norm": 0.2533794343471527,
|
| 210 |
+
"learning_rate": 0.0002,
|
| 211 |
+
"loss": 1.6847,
|
| 212 |
+
"step": 290
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.974025974025974,
|
| 216 |
+
"grad_norm": 0.27348795533180237,
|
| 217 |
+
"learning_rate": 0.0002,
|
| 218 |
+
"loss": 1.7334,
|
| 219 |
+
"step": 300
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 1.0,
|
| 223 |
+
"eval_loss": 1.769331693649292,
|
| 224 |
+
"eval_runtime": 115.5699,
|
| 225 |
+
"eval_samples_per_second": 4.603,
|
| 226 |
+
"eval_steps_per_second": 0.58,
|
| 227 |
+
"step": 308
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 1.0064935064935066,
|
| 231 |
+
"grad_norm": 0.28133320808410645,
|
| 232 |
+
"learning_rate": 0.0002,
|
| 233 |
+
"loss": 1.6473,
|
| 234 |
+
"step": 310
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 1.0389610389610389,
|
| 238 |
+
"grad_norm": 0.2541237473487854,
|
| 239 |
+
"learning_rate": 0.0002,
|
| 240 |
+
"loss": 1.7067,
|
| 241 |
+
"step": 320
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"epoch": 1.0714285714285714,
|
| 245 |
+
"grad_norm": 0.25699320435523987,
|
| 246 |
+
"learning_rate": 0.0002,
|
| 247 |
+
"loss": 1.7422,
|
| 248 |
+
"step": 330
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 1.103896103896104,
|
| 252 |
+
"grad_norm": 0.26137059926986694,
|
| 253 |
+
"learning_rate": 0.0002,
|
| 254 |
+
"loss": 1.6737,
|
| 255 |
+
"step": 340
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 1.1363636363636362,
|
| 259 |
+
"grad_norm": 0.2718560993671417,
|
| 260 |
+
"learning_rate": 0.0002,
|
| 261 |
+
"loss": 1.7372,
|
| 262 |
+
"step": 350
|
| 263 |
+
},
|
| 264 |
+
{
|
| 265 |
+
"epoch": 1.1688311688311688,
|
| 266 |
+
"grad_norm": 0.23400403559207916,
|
| 267 |
+
"learning_rate": 0.0002,
|
| 268 |
+
"loss": 1.6809,
|
| 269 |
+
"step": 360
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 1.2012987012987013,
|
| 273 |
+
"grad_norm": 0.28257420659065247,
|
| 274 |
+
"learning_rate": 0.0002,
|
| 275 |
+
"loss": 1.6892,
|
| 276 |
+
"step": 370
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 1.2337662337662338,
|
| 280 |
+
"grad_norm": 0.3031129240989685,
|
| 281 |
+
"learning_rate": 0.0002,
|
| 282 |
+
"loss": 1.6945,
|
| 283 |
+
"step": 380
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"epoch": 1.2662337662337662,
|
| 287 |
+
"grad_norm": 0.3131062984466553,
|
| 288 |
+
"learning_rate": 0.0002,
|
| 289 |
+
"loss": 1.6611,
|
| 290 |
+
"step": 390
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 1.2987012987012987,
|
| 294 |
+
"grad_norm": 0.2594483494758606,
|
| 295 |
+
"learning_rate": 0.0002,
|
| 296 |
+
"loss": 1.6535,
|
| 297 |
+
"step": 400
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 1.3311688311688312,
|
| 301 |
+
"grad_norm": 0.2595517933368683,
|
| 302 |
+
"learning_rate": 0.0002,
|
| 303 |
+
"loss": 1.7275,
|
| 304 |
+
"step": 410
|
| 305 |
+
},
|
| 306 |
+
{
|
| 307 |
+
"epoch": 1.3636363636363638,
|
| 308 |
+
"grad_norm": 0.26333683729171753,
|
| 309 |
+
"learning_rate": 0.0002,
|
| 310 |
+
"loss": 1.6048,
|
| 311 |
+
"step": 420
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"epoch": 1.396103896103896,
|
| 315 |
+
"grad_norm": 0.3051556646823883,
|
| 316 |
+
"learning_rate": 0.0002,
|
| 317 |
+
"loss": 1.8342,
|
| 318 |
+
"step": 430
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 1.4285714285714286,
|
| 322 |
+
"grad_norm": 0.26060932874679565,
|
| 323 |
+
"learning_rate": 0.0002,
|
| 324 |
+
"loss": 1.694,
|
| 325 |
+
"step": 440
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"epoch": 1.4610389610389611,
|
| 329 |
+
"grad_norm": 0.282101571559906,
|
| 330 |
+
"learning_rate": 0.0002,
|
| 331 |
+
"loss": 1.6284,
|
| 332 |
+
"step": 450
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 1.4935064935064934,
|
| 336 |
+
"grad_norm": 0.2837599813938141,
|
| 337 |
+
"learning_rate": 0.0002,
|
| 338 |
+
"loss": 1.7301,
|
| 339 |
+
"step": 460
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 1.525974025974026,
|
| 343 |
+
"grad_norm": 0.2532821595668793,
|
| 344 |
+
"learning_rate": 0.0002,
|
| 345 |
+
"loss": 1.6769,
|
| 346 |
+
"step": 470
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 1.5584415584415585,
|
| 350 |
+
"grad_norm": 0.2448154091835022,
|
| 351 |
+
"learning_rate": 0.0002,
|
| 352 |
+
"loss": 1.6483,
|
| 353 |
+
"step": 480
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 1.5909090909090908,
|
| 357 |
+
"grad_norm": 0.2592053711414337,
|
| 358 |
+
"learning_rate": 0.0002,
|
| 359 |
+
"loss": 1.7212,
|
| 360 |
+
"step": 490
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 1.6233766233766234,
|
| 364 |
+
"grad_norm": 0.23606474697589874,
|
| 365 |
+
"learning_rate": 0.0002,
|
| 366 |
+
"loss": 1.7245,
|
| 367 |
+
"step": 500
|
| 368 |
+
},
|
| 369 |
+
{
|
| 370 |
+
"epoch": 1.655844155844156,
|
| 371 |
+
"grad_norm": 0.2693960964679718,
|
| 372 |
+
"learning_rate": 0.0002,
|
| 373 |
+
"loss": 1.7283,
|
| 374 |
+
"step": 510
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 1.6883116883116882,
|
| 378 |
+
"grad_norm": 0.28801923990249634,
|
| 379 |
+
"learning_rate": 0.0002,
|
| 380 |
+
"loss": 1.6573,
|
| 381 |
+
"step": 520
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 1.7207792207792207,
|
| 385 |
+
"grad_norm": 0.33677127957344055,
|
| 386 |
+
"learning_rate": 0.0002,
|
| 387 |
+
"loss": 1.654,
|
| 388 |
+
"step": 530
|
| 389 |
+
},
|
| 390 |
+
{
|
| 391 |
+
"epoch": 1.7532467532467533,
|
| 392 |
+
"grad_norm": 0.2794886529445648,
|
| 393 |
+
"learning_rate": 0.0002,
|
| 394 |
+
"loss": 1.7184,
|
| 395 |
+
"step": 540
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 1.7857142857142856,
|
| 399 |
+
"grad_norm": 0.2649626135826111,
|
| 400 |
+
"learning_rate": 0.0002,
|
| 401 |
+
"loss": 1.6204,
|
| 402 |
+
"step": 550
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 1.8181818181818183,
|
| 406 |
+
"grad_norm": 0.27729251980781555,
|
| 407 |
+
"learning_rate": 0.0002,
|
| 408 |
+
"loss": 1.7664,
|
| 409 |
+
"step": 560
|
| 410 |
+
},
|
| 411 |
+
{
|
| 412 |
+
"epoch": 1.8506493506493507,
|
| 413 |
+
"grad_norm": 0.2724396288394928,
|
| 414 |
+
"learning_rate": 0.0002,
|
| 415 |
+
"loss": 1.6099,
|
| 416 |
+
"step": 570
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 1.883116883116883,
|
| 420 |
+
"grad_norm": 0.25738948583602905,
|
| 421 |
+
"learning_rate": 0.0002,
|
| 422 |
+
"loss": 1.656,
|
| 423 |
+
"step": 580
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 1.9155844155844157,
|
| 427 |
+
"grad_norm": 0.2539234757423401,
|
| 428 |
+
"learning_rate": 0.0002,
|
| 429 |
+
"loss": 1.7401,
|
| 430 |
+
"step": 590
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"epoch": 1.948051948051948,
|
| 434 |
+
"grad_norm": 0.27087679505348206,
|
| 435 |
+
"learning_rate": 0.0002,
|
| 436 |
+
"loss": 1.6833,
|
| 437 |
+
"step": 600
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 1.9805194805194806,
|
| 441 |
+
"grad_norm": 0.2727901041507721,
|
| 442 |
+
"learning_rate": 0.0002,
|
| 443 |
+
"loss": 1.6934,
|
| 444 |
+
"step": 610
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 2.0,
|
| 448 |
+
"eval_loss": 1.765038251876831,
|
| 449 |
+
"eval_runtime": 117.4062,
|
| 450 |
+
"eval_samples_per_second": 4.531,
|
| 451 |
+
"eval_steps_per_second": 0.571,
|
| 452 |
+
"step": 616
|
| 453 |
+
},
|
| 454 |
+
{
|
| 455 |
+
"epoch": 2.012987012987013,
|
| 456 |
+
"grad_norm": 0.25380605459213257,
|
| 457 |
+
"learning_rate": 0.0002,
|
| 458 |
+
"loss": 1.6565,
|
| 459 |
+
"step": 620
|
| 460 |
+
},
|
| 461 |
+
{
|
| 462 |
+
"epoch": 2.0454545454545454,
|
| 463 |
+
"grad_norm": 0.28460997343063354,
|
| 464 |
+
"learning_rate": 0.0002,
|
| 465 |
+
"loss": 1.6043,
|
| 466 |
+
"step": 630
|
| 467 |
+
},
|
| 468 |
+
{
|
| 469 |
+
"epoch": 2.0779220779220777,
|
| 470 |
+
"grad_norm": 0.31530654430389404,
|
| 471 |
+
"learning_rate": 0.0002,
|
| 472 |
+
"loss": 1.7345,
|
| 473 |
+
"step": 640
|
| 474 |
+
},
|
| 475 |
+
{
|
| 476 |
+
"epoch": 2.1103896103896105,
|
| 477 |
+
"grad_norm": 0.30611202120780945,
|
| 478 |
+
"learning_rate": 0.0002,
|
| 479 |
+
"loss": 1.6077,
|
| 480 |
+
"step": 650
|
| 481 |
+
},
|
| 482 |
+
{
|
| 483 |
+
"epoch": 2.142857142857143,
|
| 484 |
+
"grad_norm": 0.30674979090690613,
|
| 485 |
+
"learning_rate": 0.0002,
|
| 486 |
+
"loss": 1.6685,
|
| 487 |
+
"step": 660
|
| 488 |
+
},
|
| 489 |
+
{
|
| 490 |
+
"epoch": 2.175324675324675,
|
| 491 |
+
"grad_norm": 0.34276270866394043,
|
| 492 |
+
"learning_rate": 0.0002,
|
| 493 |
+
"loss": 1.6063,
|
| 494 |
+
"step": 670
|
| 495 |
+
},
|
| 496 |
+
{
|
| 497 |
+
"epoch": 2.207792207792208,
|
| 498 |
+
"grad_norm": 0.30068185925483704,
|
| 499 |
+
"learning_rate": 0.0002,
|
| 500 |
+
"loss": 1.6985,
|
| 501 |
+
"step": 680
|
| 502 |
+
},
|
| 503 |
+
{
|
| 504 |
+
"epoch": 2.24025974025974,
|
| 505 |
+
"grad_norm": 0.3197493851184845,
|
| 506 |
+
"learning_rate": 0.0002,
|
| 507 |
+
"loss": 1.5869,
|
| 508 |
+
"step": 690
|
| 509 |
+
},
|
| 510 |
+
{
|
| 511 |
+
"epoch": 2.2727272727272725,
|
| 512 |
+
"grad_norm": 0.3080422878265381,
|
| 513 |
+
"learning_rate": 0.0002,
|
| 514 |
+
"loss": 1.5993,
|
| 515 |
+
"step": 700
|
| 516 |
+
},
|
| 517 |
+
{
|
| 518 |
+
"epoch": 2.3051948051948052,
|
| 519 |
+
"grad_norm": 0.32039162516593933,
|
| 520 |
+
"learning_rate": 0.0002,
|
| 521 |
+
"loss": 1.634,
|
| 522 |
+
"step": 710
|
| 523 |
+
},
|
| 524 |
+
{
|
| 525 |
+
"epoch": 2.3376623376623376,
|
| 526 |
+
"grad_norm": 0.32778531312942505,
|
| 527 |
+
"learning_rate": 0.0002,
|
| 528 |
+
"loss": 1.6303,
|
| 529 |
+
"step": 720
|
| 530 |
+
},
|
| 531 |
+
{
|
| 532 |
+
"epoch": 2.3701298701298703,
|
| 533 |
+
"grad_norm": 0.31763869524002075,
|
| 534 |
+
"learning_rate": 0.0002,
|
| 535 |
+
"loss": 1.6783,
|
| 536 |
+
"step": 730
|
| 537 |
+
},
|
| 538 |
+
{
|
| 539 |
+
"epoch": 2.4025974025974026,
|
| 540 |
+
"grad_norm": 0.3438641130924225,
|
| 541 |
+
"learning_rate": 0.0002,
|
| 542 |
+
"loss": 1.5866,
|
| 543 |
+
"step": 740
|
| 544 |
+
},
|
| 545 |
+
{
|
| 546 |
+
"epoch": 2.435064935064935,
|
| 547 |
+
"grad_norm": 0.30254635214805603,
|
| 548 |
+
"learning_rate": 0.0002,
|
| 549 |
+
"loss": 1.6238,
|
| 550 |
+
"step": 750
|
| 551 |
+
},
|
| 552 |
+
{
|
| 553 |
+
"epoch": 2.4675324675324677,
|
| 554 |
+
"grad_norm": 0.3287079930305481,
|
| 555 |
+
"learning_rate": 0.0002,
|
| 556 |
+
"loss": 1.6321,
|
| 557 |
+
"step": 760
|
| 558 |
+
},
|
| 559 |
+
{
|
| 560 |
+
"epoch": 2.5,
|
| 561 |
+
"grad_norm": 0.31394457817077637,
|
| 562 |
+
"learning_rate": 0.0002,
|
| 563 |
+
"loss": 1.6103,
|
| 564 |
+
"step": 770
|
| 565 |
+
},
|
| 566 |
+
{
|
| 567 |
+
"epoch": 2.5324675324675323,
|
| 568 |
+
"grad_norm": 0.34165051579475403,
|
| 569 |
+
"learning_rate": 0.0002,
|
| 570 |
+
"loss": 1.6384,
|
| 571 |
+
"step": 780
|
| 572 |
+
},
|
| 573 |
+
{
|
| 574 |
+
"epoch": 2.564935064935065,
|
| 575 |
+
"grad_norm": 0.3315567970275879,
|
| 576 |
+
"learning_rate": 0.0002,
|
| 577 |
+
"loss": 1.6555,
|
| 578 |
+
"step": 790
|
| 579 |
+
},
|
| 580 |
+
{
|
| 581 |
+
"epoch": 2.5974025974025974,
|
| 582 |
+
"grad_norm": 0.3183658719062805,
|
| 583 |
+
"learning_rate": 0.0002,
|
| 584 |
+
"loss": 1.6041,
|
| 585 |
+
"step": 800
|
| 586 |
+
},
|
| 587 |
+
{
|
| 588 |
+
"epoch": 2.62987012987013,
|
| 589 |
+
"grad_norm": 0.29442286491394043,
|
| 590 |
+
"learning_rate": 0.0002,
|
| 591 |
+
"loss": 1.6149,
|
| 592 |
+
"step": 810
|
| 593 |
+
},
|
| 594 |
+
{
|
| 595 |
+
"epoch": 2.6623376623376624,
|
| 596 |
+
"grad_norm": 0.3735957741737366,
|
| 597 |
+
"learning_rate": 0.0002,
|
| 598 |
+
"loss": 1.5689,
|
| 599 |
+
"step": 820
|
| 600 |
+
},
|
| 601 |
+
{
|
| 602 |
+
"epoch": 2.6948051948051948,
|
| 603 |
+
"grad_norm": 0.34174075722694397,
|
| 604 |
+
"learning_rate": 0.0002,
|
| 605 |
+
"loss": 1.6763,
|
| 606 |
+
"step": 830
|
| 607 |
+
},
|
| 608 |
+
{
|
| 609 |
+
"epoch": 2.7272727272727275,
|
| 610 |
+
"grad_norm": 0.3265220820903778,
|
| 611 |
+
"learning_rate": 0.0002,
|
| 612 |
+
"loss": 1.6333,
|
| 613 |
+
"step": 840
|
| 614 |
+
},
|
| 615 |
+
{
|
| 616 |
+
"epoch": 2.75974025974026,
|
| 617 |
+
"grad_norm": 0.3356368839740753,
|
| 618 |
+
"learning_rate": 0.0002,
|
| 619 |
+
"loss": 1.5971,
|
| 620 |
+
"step": 850
|
| 621 |
+
},
|
| 622 |
+
{
|
| 623 |
+
"epoch": 2.792207792207792,
|
| 624 |
+
"grad_norm": 0.33430132269859314,
|
| 625 |
+
"learning_rate": 0.0002,
|
| 626 |
+
"loss": 1.6042,
|
| 627 |
+
"step": 860
|
| 628 |
+
},
|
| 629 |
+
{
|
| 630 |
+
"epoch": 2.824675324675325,
|
| 631 |
+
"grad_norm": 0.28999271988868713,
|
| 632 |
+
"learning_rate": 0.0002,
|
| 633 |
+
"loss": 1.5982,
|
| 634 |
+
"step": 870
|
| 635 |
+
},
|
| 636 |
+
{
|
| 637 |
+
"epoch": 2.857142857142857,
|
| 638 |
+
"grad_norm": 0.3253968358039856,
|
| 639 |
+
"learning_rate": 0.0002,
|
| 640 |
+
"loss": 1.6189,
|
| 641 |
+
"step": 880
|
| 642 |
+
},
|
| 643 |
+
{
|
| 644 |
+
"epoch": 2.8896103896103895,
|
| 645 |
+
"grad_norm": 0.291964054107666,
|
| 646 |
+
"learning_rate": 0.0002,
|
| 647 |
+
"loss": 1.6011,
|
| 648 |
+
"step": 890
|
| 649 |
+
},
|
| 650 |
+
{
|
| 651 |
+
"epoch": 2.9220779220779223,
|
| 652 |
+
"grad_norm": 0.32170912623405457,
|
| 653 |
+
"learning_rate": 0.0002,
|
| 654 |
+
"loss": 1.6854,
|
| 655 |
+
"step": 900
|
| 656 |
+
},
|
| 657 |
+
{
|
| 658 |
+
"epoch": 2.9545454545454546,
|
| 659 |
+
"grad_norm": 0.2738993465900421,
|
| 660 |
+
"learning_rate": 0.0002,
|
| 661 |
+
"loss": 1.7219,
|
| 662 |
+
"step": 910
|
| 663 |
+
},
|
| 664 |
+
{
|
| 665 |
+
"epoch": 2.987012987012987,
|
| 666 |
+
"grad_norm": 0.29856377840042114,
|
| 667 |
+
"learning_rate": 0.0002,
|
| 668 |
+
"loss": 1.667,
|
| 669 |
+
"step": 920
|
| 670 |
+
},
|
| 671 |
+
{
|
| 672 |
+
"epoch": 3.0,
|
| 673 |
+
"eval_loss": 1.7705217599868774,
|
| 674 |
+
"eval_runtime": 115.3403,
|
| 675 |
+
"eval_samples_per_second": 4.612,
|
| 676 |
+
"eval_steps_per_second": 0.581,
|
| 677 |
+
"step": 924
|
| 678 |
+
},
|
| 679 |
+
{
|
| 680 |
+
"epoch": 3.0194805194805197,
|
| 681 |
+
"grad_norm": 0.3272620439529419,
|
| 682 |
+
"learning_rate": 0.0002,
|
| 683 |
+
"loss": 1.5876,
|
| 684 |
+
"step": 930
|
| 685 |
+
},
|
| 686 |
+
{
|
| 687 |
+
"epoch": 3.051948051948052,
|
| 688 |
+
"grad_norm": 0.3484354019165039,
|
| 689 |
+
"learning_rate": 0.0002,
|
| 690 |
+
"loss": 1.6262,
|
| 691 |
+
"step": 940
|
| 692 |
+
},
|
| 693 |
+
{
|
| 694 |
+
"epoch": 3.0844155844155843,
|
| 695 |
+
"grad_norm": 0.35202738642692566,
|
| 696 |
+
"learning_rate": 0.0002,
|
| 697 |
+
"loss": 1.5092,
|
| 698 |
+
"step": 950
|
| 699 |
+
},
|
| 700 |
+
{
|
| 701 |
+
"epoch": 3.116883116883117,
|
| 702 |
+
"grad_norm": 0.3635590076446533,
|
| 703 |
+
"learning_rate": 0.0002,
|
| 704 |
+
"loss": 1.5524,
|
| 705 |
+
"step": 960
|
| 706 |
+
},
|
| 707 |
+
{
|
| 708 |
+
"epoch": 3.1493506493506493,
|
| 709 |
+
"grad_norm": 0.39253556728363037,
|
| 710 |
+
"learning_rate": 0.0002,
|
| 711 |
+
"loss": 1.5169,
|
| 712 |
+
"step": 970
|
| 713 |
+
},
|
| 714 |
+
{
|
| 715 |
+
"epoch": 3.1818181818181817,
|
| 716 |
+
"grad_norm": 0.4007384777069092,
|
| 717 |
+
"learning_rate": 0.0002,
|
| 718 |
+
"loss": 1.5001,
|
| 719 |
+
"step": 980
|
| 720 |
+
},
|
| 721 |
+
{
|
| 722 |
+
"epoch": 3.2142857142857144,
|
| 723 |
+
"grad_norm": 0.38897788524627686,
|
| 724 |
+
"learning_rate": 0.0002,
|
| 725 |
+
"loss": 1.5639,
|
| 726 |
+
"step": 990
|
| 727 |
+
},
|
| 728 |
+
{
|
| 729 |
+
"epoch": 3.2467532467532467,
|
| 730 |
+
"grad_norm": 0.38462474942207336,
|
| 731 |
+
"learning_rate": 0.0002,
|
| 732 |
+
"loss": 1.5791,
|
| 733 |
+
"step": 1000
|
| 734 |
+
},
|
| 735 |
+
{
|
| 736 |
+
"epoch": 3.279220779220779,
|
| 737 |
+
"grad_norm": 0.38225963711738586,
|
| 738 |
+
"learning_rate": 0.0002,
|
| 739 |
+
"loss": 1.4918,
|
| 740 |
+
"step": 1010
|
| 741 |
+
},
|
| 742 |
+
{
|
| 743 |
+
"epoch": 3.311688311688312,
|
| 744 |
+
"grad_norm": 0.4058142602443695,
|
| 745 |
+
"learning_rate": 0.0002,
|
| 746 |
+
"loss": 1.5094,
|
| 747 |
+
"step": 1020
|
| 748 |
+
},
|
| 749 |
+
{
|
| 750 |
+
"epoch": 3.344155844155844,
|
| 751 |
+
"grad_norm": 0.39580652117729187,
|
| 752 |
+
"learning_rate": 0.0002,
|
| 753 |
+
"loss": 1.5905,
|
| 754 |
+
"step": 1030
|
| 755 |
+
},
|
| 756 |
+
{
|
| 757 |
+
"epoch": 3.3766233766233764,
|
| 758 |
+
"grad_norm": 0.42998549342155457,
|
| 759 |
+
"learning_rate": 0.0002,
|
| 760 |
+
"loss": 1.5894,
|
| 761 |
+
"step": 1040
|
| 762 |
+
},
|
| 763 |
+
{
|
| 764 |
+
"epoch": 3.409090909090909,
|
| 765 |
+
"grad_norm": 0.3940870761871338,
|
| 766 |
+
"learning_rate": 0.0002,
|
| 767 |
+
"loss": 1.548,
|
| 768 |
+
"step": 1050
|
| 769 |
+
},
|
| 770 |
+
{
|
| 771 |
+
"epoch": 3.4415584415584415,
|
| 772 |
+
"grad_norm": 0.4069645404815674,
|
| 773 |
+
"learning_rate": 0.0002,
|
| 774 |
+
"loss": 1.6527,
|
| 775 |
+
"step": 1060
|
| 776 |
+
},
|
| 777 |
+
{
|
| 778 |
+
"epoch": 3.474025974025974,
|
| 779 |
+
"grad_norm": 0.386883407831192,
|
| 780 |
+
"learning_rate": 0.0002,
|
| 781 |
+
"loss": 1.6035,
|
| 782 |
+
"step": 1070
|
| 783 |
+
},
|
| 784 |
+
{
|
| 785 |
+
"epoch": 3.5064935064935066,
|
| 786 |
+
"grad_norm": 0.4978795051574707,
|
| 787 |
+
"learning_rate": 0.0002,
|
| 788 |
+
"loss": 1.5991,
|
| 789 |
+
"step": 1080
|
| 790 |
+
},
|
| 791 |
+
{
|
| 792 |
+
"epoch": 3.538961038961039,
|
| 793 |
+
"grad_norm": 0.4167064130306244,
|
| 794 |
+
"learning_rate": 0.0002,
|
| 795 |
+
"loss": 1.555,
|
| 796 |
+
"step": 1090
|
| 797 |
+
},
|
| 798 |
+
{
|
| 799 |
+
"epoch": 3.571428571428571,
|
| 800 |
+
"grad_norm": 0.38199925422668457,
|
| 801 |
+
"learning_rate": 0.0002,
|
| 802 |
+
"loss": 1.5393,
|
| 803 |
+
"step": 1100
|
| 804 |
+
},
|
| 805 |
+
{
|
| 806 |
+
"epoch": 3.603896103896104,
|
| 807 |
+
"grad_norm": 0.4170112609863281,
|
| 808 |
+
"learning_rate": 0.0002,
|
| 809 |
+
"loss": 1.5206,
|
| 810 |
+
"step": 1110
|
| 811 |
+
},
|
| 812 |
+
{
|
| 813 |
+
"epoch": 3.6363636363636362,
|
| 814 |
+
"grad_norm": 0.4023001194000244,
|
| 815 |
+
"learning_rate": 0.0002,
|
| 816 |
+
"loss": 1.5336,
|
| 817 |
+
"step": 1120
|
| 818 |
+
},
|
| 819 |
+
{
|
| 820 |
+
"epoch": 3.6688311688311686,
|
| 821 |
+
"grad_norm": 0.44960418343544006,
|
| 822 |
+
"learning_rate": 0.0002,
|
| 823 |
+
"loss": 1.5324,
|
| 824 |
+
"step": 1130
|
| 825 |
+
},
|
| 826 |
+
{
|
| 827 |
+
"epoch": 3.7012987012987013,
|
| 828 |
+
"grad_norm": 0.4334756135940552,
|
| 829 |
+
"learning_rate": 0.0002,
|
| 830 |
+
"loss": 1.5784,
|
| 831 |
+
"step": 1140
|
| 832 |
+
},
|
| 833 |
+
{
|
| 834 |
+
"epoch": 3.7337662337662336,
|
| 835 |
+
"grad_norm": 0.38534295558929443,
|
| 836 |
+
"learning_rate": 0.0002,
|
| 837 |
+
"loss": 1.5018,
|
| 838 |
+
"step": 1150
|
| 839 |
+
},
|
| 840 |
+
{
|
| 841 |
+
"epoch": 3.7662337662337664,
|
| 842 |
+
"grad_norm": 0.40537452697753906,
|
| 843 |
+
"learning_rate": 0.0002,
|
| 844 |
+
"loss": 1.6091,
|
| 845 |
+
"step": 1160
|
| 846 |
+
},
|
| 847 |
+
{
|
| 848 |
+
"epoch": 3.7987012987012987,
|
| 849 |
+
"grad_norm": 0.4050034284591675,
|
| 850 |
+
"learning_rate": 0.0002,
|
| 851 |
+
"loss": 1.5303,
|
| 852 |
+
"step": 1170
|
| 853 |
+
},
|
| 854 |
+
{
|
| 855 |
+
"epoch": 3.8311688311688314,
|
| 856 |
+
"grad_norm": 0.3953498303890228,
|
| 857 |
+
"learning_rate": 0.0002,
|
| 858 |
+
"loss": 1.5082,
|
| 859 |
+
"step": 1180
|
| 860 |
+
},
|
| 861 |
+
{
|
| 862 |
+
"epoch": 3.8636363636363638,
|
| 863 |
+
"grad_norm": 0.4208937883377075,
|
| 864 |
+
"learning_rate": 0.0002,
|
| 865 |
+
"loss": 1.5402,
|
| 866 |
+
"step": 1190
|
| 867 |
+
},
|
| 868 |
+
{
|
| 869 |
+
"epoch": 3.896103896103896,
|
| 870 |
+
"grad_norm": 0.4181132912635803,
|
| 871 |
+
"learning_rate": 0.0002,
|
| 872 |
+
"loss": 1.5657,
|
| 873 |
+
"step": 1200
|
| 874 |
+
},
|
| 875 |
+
{
|
| 876 |
+
"epoch": 3.928571428571429,
|
| 877 |
+
"grad_norm": 0.4108502268791199,
|
| 878 |
+
"learning_rate": 0.0002,
|
| 879 |
+
"loss": 1.6202,
|
| 880 |
+
"step": 1210
|
| 881 |
+
},
|
| 882 |
+
{
|
| 883 |
+
"epoch": 3.961038961038961,
|
| 884 |
+
"grad_norm": 0.3819066882133484,
|
| 885 |
+
"learning_rate": 0.0002,
|
| 886 |
+
"loss": 1.5157,
|
| 887 |
+
"step": 1220
|
| 888 |
+
},
|
| 889 |
+
{
|
| 890 |
+
"epoch": 3.9935064935064934,
|
| 891 |
+
"grad_norm": 0.3682127892971039,
|
| 892 |
+
"learning_rate": 0.0002,
|
| 893 |
+
"loss": 1.4595,
|
| 894 |
+
"step": 1230
|
| 895 |
+
},
|
| 896 |
+
{
|
| 897 |
+
"epoch": 4.0,
|
| 898 |
+
"eval_loss": 1.7993888854980469,
|
| 899 |
+
"eval_runtime": 115.4041,
|
| 900 |
+
"eval_samples_per_second": 4.61,
|
| 901 |
+
"eval_steps_per_second": 0.581,
|
| 902 |
+
"step": 1232
|
| 903 |
+
}
|
| 904 |
+
],
|
| 905 |
+
"logging_steps": 10,
|
| 906 |
+
"max_steps": 2464,
|
| 907 |
+
"num_input_tokens_seen": 0,
|
| 908 |
+
"num_train_epochs": 8,
|
| 909 |
+
"save_steps": 200,
|
| 910 |
+
"stateful_callbacks": {
|
| 911 |
+
"TrainerControl": {
|
| 912 |
+
"args": {
|
| 913 |
+
"should_epoch_stop": false,
|
| 914 |
+
"should_evaluate": false,
|
| 915 |
+
"should_log": false,
|
| 916 |
+
"should_save": true,
|
| 917 |
+
"should_training_stop": false
|
| 918 |
+
},
|
| 919 |
+
"attributes": {}
|
| 920 |
+
}
|
| 921 |
+
},
|
| 922 |
+
"total_flos": 5.367319021957939e+16,
|
| 923 |
+
"train_batch_size": 1,
|
| 924 |
+
"trial_name": null,
|
| 925 |
+
"trial_params": null
|
| 926 |
+
}
|
Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1232/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:400ef20a202cfadecd17fb2d658472b52fb2ddded63f69b1e6150e63cfc2de96
|
| 3 |
+
size 5560
|
Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1232/vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1540/README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: Qwen/Qwen2-7B-Instruct
|
| 3 |
+
library_name: peft
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- 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. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
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).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.13.1
|
Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1540/adapter_config.json
ADDED
|
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "Qwen/Qwen2-7B-Instruct",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": false,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layer_replication": null,
|
| 10 |
+
"layers_pattern": null,
|
| 11 |
+
"layers_to_transform": null,
|
| 12 |
+
"loftq_config": {},
|
| 13 |
+
"lora_alpha": 32,
|
| 14 |
+
"lora_dropout": 0.05,
|
| 15 |
+
"megatron_config": null,
|
| 16 |
+
"megatron_core": "megatron.core",
|
| 17 |
+
"modules_to_save": null,
|
| 18 |
+
"peft_type": "LORA",
|
| 19 |
+
"r": 64,
|
| 20 |
+
"rank_pattern": {},
|
| 21 |
+
"revision": null,
|
| 22 |
+
"target_modules": [
|
| 23 |
+
"v_proj",
|
| 24 |
+
"q_proj"
|
| 25 |
+
],
|
| 26 |
+
"task_type": "CAUSAL_LM",
|
| 27 |
+
"use_dora": false,
|
| 28 |
+
"use_rslora": false
|
| 29 |
+
}
|
Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1540/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:32c20caa5cba21d78192c88ac405b7fa17c83b8c8b74478b34be2c10ae8e3b93
|
| 3 |
+
size 80755416
|
Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1540/added_tokens.json
ADDED
|
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"<|endoftext|>": 151643,
|
| 3 |
+
"<|im_end|>": 151645,
|
| 4 |
+
"<|im_start|>": 151644
|
| 5 |
+
}
|
Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1540/merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1540/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3e008fcbf38c46b144c32a85e36ed6e77b6e9977fc344ed9a6fd749701dcb2cc
|
| 3 |
+
size 41136570
|
Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1540/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d7ae3bcad17c4053a3962711420dfba382500eac28a2b91c8ec3a7b526e06803
|
| 3 |
+
size 14244
|
Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1540/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:17b08ad7b1bf73e40d77d05150187e25e652c4e26a62272f7d02f7aff7ac9d96
|
| 3 |
+
size 1064
|
Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1540/special_tokens_map.json
ADDED
|
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<|im_start|>",
|
| 4 |
+
"<|im_end|>"
|
| 5 |
+
],
|
| 6 |
+
"eos_token": {
|
| 7 |
+
"content": "<|im_end|>",
|
| 8 |
+
"lstrip": false,
|
| 9 |
+
"normalized": false,
|
| 10 |
+
"rstrip": false,
|
| 11 |
+
"single_word": false
|
| 12 |
+
},
|
| 13 |
+
"pad_token": "<|im_end|>"
|
| 14 |
+
}
|
Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1540/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1540/tokenizer_config.json
ADDED
|
@@ -0,0 +1,43 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"added_tokens_decoder": {
|
| 4 |
+
"151643": {
|
| 5 |
+
"content": "<|endoftext|>",
|
| 6 |
+
"lstrip": false,
|
| 7 |
+
"normalized": false,
|
| 8 |
+
"rstrip": false,
|
| 9 |
+
"single_word": false,
|
| 10 |
+
"special": true
|
| 11 |
+
},
|
| 12 |
+
"151644": {
|
| 13 |
+
"content": "<|im_start|>",
|
| 14 |
+
"lstrip": false,
|
| 15 |
+
"normalized": false,
|
| 16 |
+
"rstrip": false,
|
| 17 |
+
"single_word": false,
|
| 18 |
+
"special": true
|
| 19 |
+
},
|
| 20 |
+
"151645": {
|
| 21 |
+
"content": "<|im_end|>",
|
| 22 |
+
"lstrip": false,
|
| 23 |
+
"normalized": false,
|
| 24 |
+
"rstrip": false,
|
| 25 |
+
"single_word": false,
|
| 26 |
+
"special": true
|
| 27 |
+
}
|
| 28 |
+
},
|
| 29 |
+
"additional_special_tokens": [
|
| 30 |
+
"<|im_start|>",
|
| 31 |
+
"<|im_end|>"
|
| 32 |
+
],
|
| 33 |
+
"bos_token": null,
|
| 34 |
+
"chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
|
| 35 |
+
"clean_up_tokenization_spaces": false,
|
| 36 |
+
"eos_token": "<|im_end|>",
|
| 37 |
+
"errors": "replace",
|
| 38 |
+
"model_max_length": 131072,
|
| 39 |
+
"pad_token": "<|im_end|>",
|
| 40 |
+
"split_special_tokens": false,
|
| 41 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 42 |
+
"unk_token": null
|
| 43 |
+
}
|
Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1540/trainer_state.json
ADDED
|
@@ -0,0 +1,1151 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 1.765038251876831,
|
| 3 |
+
"best_model_checkpoint": "outputs-001/Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-616",
|
| 4 |
+
"epoch": 5.0,
|
| 5 |
+
"eval_steps": 10,
|
| 6 |
+
"global_step": 1540,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.032467532467532464,
|
| 13 |
+
"grad_norm": 0.31557697057724,
|
| 14 |
+
"learning_rate": 0.0002,
|
| 15 |
+
"loss": 2.4028,
|
| 16 |
+
"step": 10
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.06493506493506493,
|
| 20 |
+
"grad_norm": 0.3265437185764313,
|
| 21 |
+
"learning_rate": 0.0002,
|
| 22 |
+
"loss": 2.1466,
|
| 23 |
+
"step": 20
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.09740259740259741,
|
| 27 |
+
"grad_norm": 0.3424590229988098,
|
| 28 |
+
"learning_rate": 0.0002,
|
| 29 |
+
"loss": 1.9549,
|
| 30 |
+
"step": 30
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.12987012987012986,
|
| 34 |
+
"grad_norm": 0.30609560012817383,
|
| 35 |
+
"learning_rate": 0.0002,
|
| 36 |
+
"loss": 1.8464,
|
| 37 |
+
"step": 40
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.16233766233766234,
|
| 41 |
+
"grad_norm": 0.3285873532295227,
|
| 42 |
+
"learning_rate": 0.0002,
|
| 43 |
+
"loss": 1.9203,
|
| 44 |
+
"step": 50
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.19480519480519481,
|
| 48 |
+
"grad_norm": 0.2855139374732971,
|
| 49 |
+
"learning_rate": 0.0002,
|
| 50 |
+
"loss": 1.7946,
|
| 51 |
+
"step": 60
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.22727272727272727,
|
| 55 |
+
"grad_norm": 0.283848375082016,
|
| 56 |
+
"learning_rate": 0.0002,
|
| 57 |
+
"loss": 1.7618,
|
| 58 |
+
"step": 70
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.2597402597402597,
|
| 62 |
+
"grad_norm": 0.2915274202823639,
|
| 63 |
+
"learning_rate": 0.0002,
|
| 64 |
+
"loss": 1.7875,
|
| 65 |
+
"step": 80
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.2922077922077922,
|
| 69 |
+
"grad_norm": 0.26927152276039124,
|
| 70 |
+
"learning_rate": 0.0002,
|
| 71 |
+
"loss": 1.7673,
|
| 72 |
+
"step": 90
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.3246753246753247,
|
| 76 |
+
"grad_norm": 0.29594847559928894,
|
| 77 |
+
"learning_rate": 0.0002,
|
| 78 |
+
"loss": 1.6726,
|
| 79 |
+
"step": 100
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.35714285714285715,
|
| 83 |
+
"grad_norm": 0.36750105023384094,
|
| 84 |
+
"learning_rate": 0.0002,
|
| 85 |
+
"loss": 1.7333,
|
| 86 |
+
"step": 110
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.38961038961038963,
|
| 90 |
+
"grad_norm": 0.32430270314216614,
|
| 91 |
+
"learning_rate": 0.0002,
|
| 92 |
+
"loss": 1.7772,
|
| 93 |
+
"step": 120
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.42207792207792205,
|
| 97 |
+
"grad_norm": 0.2767448127269745,
|
| 98 |
+
"learning_rate": 0.0002,
|
| 99 |
+
"loss": 1.731,
|
| 100 |
+
"step": 130
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.45454545454545453,
|
| 104 |
+
"grad_norm": 0.244296595454216,
|
| 105 |
+
"learning_rate": 0.0002,
|
| 106 |
+
"loss": 1.7604,
|
| 107 |
+
"step": 140
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.487012987012987,
|
| 111 |
+
"grad_norm": 0.25791823863983154,
|
| 112 |
+
"learning_rate": 0.0002,
|
| 113 |
+
"loss": 1.7172,
|
| 114 |
+
"step": 150
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.5194805194805194,
|
| 118 |
+
"grad_norm": 0.25496479868888855,
|
| 119 |
+
"learning_rate": 0.0002,
|
| 120 |
+
"loss": 1.7509,
|
| 121 |
+
"step": 160
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.551948051948052,
|
| 125 |
+
"grad_norm": 0.2770450711250305,
|
| 126 |
+
"learning_rate": 0.0002,
|
| 127 |
+
"loss": 1.7328,
|
| 128 |
+
"step": 170
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.5844155844155844,
|
| 132 |
+
"grad_norm": 0.2971339821815491,
|
| 133 |
+
"learning_rate": 0.0002,
|
| 134 |
+
"loss": 1.8008,
|
| 135 |
+
"step": 180
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.6168831168831169,
|
| 139 |
+
"grad_norm": 0.3165527880191803,
|
| 140 |
+
"learning_rate": 0.0002,
|
| 141 |
+
"loss": 1.6805,
|
| 142 |
+
"step": 190
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.6493506493506493,
|
| 146 |
+
"grad_norm": 0.24732241034507751,
|
| 147 |
+
"learning_rate": 0.0002,
|
| 148 |
+
"loss": 1.732,
|
| 149 |
+
"step": 200
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.6818181818181818,
|
| 153 |
+
"grad_norm": 0.28333306312561035,
|
| 154 |
+
"learning_rate": 0.0002,
|
| 155 |
+
"loss": 1.6933,
|
| 156 |
+
"step": 210
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.7142857142857143,
|
| 160 |
+
"grad_norm": 0.24870498478412628,
|
| 161 |
+
"learning_rate": 0.0002,
|
| 162 |
+
"loss": 1.7324,
|
| 163 |
+
"step": 220
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.7467532467532467,
|
| 167 |
+
"grad_norm": 0.2484978884458542,
|
| 168 |
+
"learning_rate": 0.0002,
|
| 169 |
+
"loss": 1.7697,
|
| 170 |
+
"step": 230
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.7792207792207793,
|
| 174 |
+
"grad_norm": 0.2282458394765854,
|
| 175 |
+
"learning_rate": 0.0002,
|
| 176 |
+
"loss": 1.7624,
|
| 177 |
+
"step": 240
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.8116883116883117,
|
| 181 |
+
"grad_norm": 0.2552148699760437,
|
| 182 |
+
"learning_rate": 0.0002,
|
| 183 |
+
"loss": 1.7775,
|
| 184 |
+
"step": 250
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 0.8441558441558441,
|
| 188 |
+
"grad_norm": 0.25136545300483704,
|
| 189 |
+
"learning_rate": 0.0002,
|
| 190 |
+
"loss": 1.7153,
|
| 191 |
+
"step": 260
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.8766233766233766,
|
| 195 |
+
"grad_norm": 0.25096797943115234,
|
| 196 |
+
"learning_rate": 0.0002,
|
| 197 |
+
"loss": 1.7705,
|
| 198 |
+
"step": 270
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 0.9090909090909091,
|
| 202 |
+
"grad_norm": 0.3148603141307831,
|
| 203 |
+
"learning_rate": 0.0002,
|
| 204 |
+
"loss": 1.7842,
|
| 205 |
+
"step": 280
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 0.9415584415584416,
|
| 209 |
+
"grad_norm": 0.2533794343471527,
|
| 210 |
+
"learning_rate": 0.0002,
|
| 211 |
+
"loss": 1.6847,
|
| 212 |
+
"step": 290
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.974025974025974,
|
| 216 |
+
"grad_norm": 0.27348795533180237,
|
| 217 |
+
"learning_rate": 0.0002,
|
| 218 |
+
"loss": 1.7334,
|
| 219 |
+
"step": 300
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 1.0,
|
| 223 |
+
"eval_loss": 1.769331693649292,
|
| 224 |
+
"eval_runtime": 115.5699,
|
| 225 |
+
"eval_samples_per_second": 4.603,
|
| 226 |
+
"eval_steps_per_second": 0.58,
|
| 227 |
+
"step": 308
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 1.0064935064935066,
|
| 231 |
+
"grad_norm": 0.28133320808410645,
|
| 232 |
+
"learning_rate": 0.0002,
|
| 233 |
+
"loss": 1.6473,
|
| 234 |
+
"step": 310
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 1.0389610389610389,
|
| 238 |
+
"grad_norm": 0.2541237473487854,
|
| 239 |
+
"learning_rate": 0.0002,
|
| 240 |
+
"loss": 1.7067,
|
| 241 |
+
"step": 320
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"epoch": 1.0714285714285714,
|
| 245 |
+
"grad_norm": 0.25699320435523987,
|
| 246 |
+
"learning_rate": 0.0002,
|
| 247 |
+
"loss": 1.7422,
|
| 248 |
+
"step": 330
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 1.103896103896104,
|
| 252 |
+
"grad_norm": 0.26137059926986694,
|
| 253 |
+
"learning_rate": 0.0002,
|
| 254 |
+
"loss": 1.6737,
|
| 255 |
+
"step": 340
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 1.1363636363636362,
|
| 259 |
+
"grad_norm": 0.2718560993671417,
|
| 260 |
+
"learning_rate": 0.0002,
|
| 261 |
+
"loss": 1.7372,
|
| 262 |
+
"step": 350
|
| 263 |
+
},
|
| 264 |
+
{
|
| 265 |
+
"epoch": 1.1688311688311688,
|
| 266 |
+
"grad_norm": 0.23400403559207916,
|
| 267 |
+
"learning_rate": 0.0002,
|
| 268 |
+
"loss": 1.6809,
|
| 269 |
+
"step": 360
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 1.2012987012987013,
|
| 273 |
+
"grad_norm": 0.28257420659065247,
|
| 274 |
+
"learning_rate": 0.0002,
|
| 275 |
+
"loss": 1.6892,
|
| 276 |
+
"step": 370
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 1.2337662337662338,
|
| 280 |
+
"grad_norm": 0.3031129240989685,
|
| 281 |
+
"learning_rate": 0.0002,
|
| 282 |
+
"loss": 1.6945,
|
| 283 |
+
"step": 380
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"epoch": 1.2662337662337662,
|
| 287 |
+
"grad_norm": 0.3131062984466553,
|
| 288 |
+
"learning_rate": 0.0002,
|
| 289 |
+
"loss": 1.6611,
|
| 290 |
+
"step": 390
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 1.2987012987012987,
|
| 294 |
+
"grad_norm": 0.2594483494758606,
|
| 295 |
+
"learning_rate": 0.0002,
|
| 296 |
+
"loss": 1.6535,
|
| 297 |
+
"step": 400
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 1.3311688311688312,
|
| 301 |
+
"grad_norm": 0.2595517933368683,
|
| 302 |
+
"learning_rate": 0.0002,
|
| 303 |
+
"loss": 1.7275,
|
| 304 |
+
"step": 410
|
| 305 |
+
},
|
| 306 |
+
{
|
| 307 |
+
"epoch": 1.3636363636363638,
|
| 308 |
+
"grad_norm": 0.26333683729171753,
|
| 309 |
+
"learning_rate": 0.0002,
|
| 310 |
+
"loss": 1.6048,
|
| 311 |
+
"step": 420
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"epoch": 1.396103896103896,
|
| 315 |
+
"grad_norm": 0.3051556646823883,
|
| 316 |
+
"learning_rate": 0.0002,
|
| 317 |
+
"loss": 1.8342,
|
| 318 |
+
"step": 430
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 1.4285714285714286,
|
| 322 |
+
"grad_norm": 0.26060932874679565,
|
| 323 |
+
"learning_rate": 0.0002,
|
| 324 |
+
"loss": 1.694,
|
| 325 |
+
"step": 440
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"epoch": 1.4610389610389611,
|
| 329 |
+
"grad_norm": 0.282101571559906,
|
| 330 |
+
"learning_rate": 0.0002,
|
| 331 |
+
"loss": 1.6284,
|
| 332 |
+
"step": 450
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 1.4935064935064934,
|
| 336 |
+
"grad_norm": 0.2837599813938141,
|
| 337 |
+
"learning_rate": 0.0002,
|
| 338 |
+
"loss": 1.7301,
|
| 339 |
+
"step": 460
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 1.525974025974026,
|
| 343 |
+
"grad_norm": 0.2532821595668793,
|
| 344 |
+
"learning_rate": 0.0002,
|
| 345 |
+
"loss": 1.6769,
|
| 346 |
+
"step": 470
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 1.5584415584415585,
|
| 350 |
+
"grad_norm": 0.2448154091835022,
|
| 351 |
+
"learning_rate": 0.0002,
|
| 352 |
+
"loss": 1.6483,
|
| 353 |
+
"step": 480
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 1.5909090909090908,
|
| 357 |
+
"grad_norm": 0.2592053711414337,
|
| 358 |
+
"learning_rate": 0.0002,
|
| 359 |
+
"loss": 1.7212,
|
| 360 |
+
"step": 490
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 1.6233766233766234,
|
| 364 |
+
"grad_norm": 0.23606474697589874,
|
| 365 |
+
"learning_rate": 0.0002,
|
| 366 |
+
"loss": 1.7245,
|
| 367 |
+
"step": 500
|
| 368 |
+
},
|
| 369 |
+
{
|
| 370 |
+
"epoch": 1.655844155844156,
|
| 371 |
+
"grad_norm": 0.2693960964679718,
|
| 372 |
+
"learning_rate": 0.0002,
|
| 373 |
+
"loss": 1.7283,
|
| 374 |
+
"step": 510
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 1.6883116883116882,
|
| 378 |
+
"grad_norm": 0.28801923990249634,
|
| 379 |
+
"learning_rate": 0.0002,
|
| 380 |
+
"loss": 1.6573,
|
| 381 |
+
"step": 520
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 1.7207792207792207,
|
| 385 |
+
"grad_norm": 0.33677127957344055,
|
| 386 |
+
"learning_rate": 0.0002,
|
| 387 |
+
"loss": 1.654,
|
| 388 |
+
"step": 530
|
| 389 |
+
},
|
| 390 |
+
{
|
| 391 |
+
"epoch": 1.7532467532467533,
|
| 392 |
+
"grad_norm": 0.2794886529445648,
|
| 393 |
+
"learning_rate": 0.0002,
|
| 394 |
+
"loss": 1.7184,
|
| 395 |
+
"step": 540
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 1.7857142857142856,
|
| 399 |
+
"grad_norm": 0.2649626135826111,
|
| 400 |
+
"learning_rate": 0.0002,
|
| 401 |
+
"loss": 1.6204,
|
| 402 |
+
"step": 550
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 1.8181818181818183,
|
| 406 |
+
"grad_norm": 0.27729251980781555,
|
| 407 |
+
"learning_rate": 0.0002,
|
| 408 |
+
"loss": 1.7664,
|
| 409 |
+
"step": 560
|
| 410 |
+
},
|
| 411 |
+
{
|
| 412 |
+
"epoch": 1.8506493506493507,
|
| 413 |
+
"grad_norm": 0.2724396288394928,
|
| 414 |
+
"learning_rate": 0.0002,
|
| 415 |
+
"loss": 1.6099,
|
| 416 |
+
"step": 570
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 1.883116883116883,
|
| 420 |
+
"grad_norm": 0.25738948583602905,
|
| 421 |
+
"learning_rate": 0.0002,
|
| 422 |
+
"loss": 1.656,
|
| 423 |
+
"step": 580
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 1.9155844155844157,
|
| 427 |
+
"grad_norm": 0.2539234757423401,
|
| 428 |
+
"learning_rate": 0.0002,
|
| 429 |
+
"loss": 1.7401,
|
| 430 |
+
"step": 590
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"epoch": 1.948051948051948,
|
| 434 |
+
"grad_norm": 0.27087679505348206,
|
| 435 |
+
"learning_rate": 0.0002,
|
| 436 |
+
"loss": 1.6833,
|
| 437 |
+
"step": 600
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 1.9805194805194806,
|
| 441 |
+
"grad_norm": 0.2727901041507721,
|
| 442 |
+
"learning_rate": 0.0002,
|
| 443 |
+
"loss": 1.6934,
|
| 444 |
+
"step": 610
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 2.0,
|
| 448 |
+
"eval_loss": 1.765038251876831,
|
| 449 |
+
"eval_runtime": 117.4062,
|
| 450 |
+
"eval_samples_per_second": 4.531,
|
| 451 |
+
"eval_steps_per_second": 0.571,
|
| 452 |
+
"step": 616
|
| 453 |
+
},
|
| 454 |
+
{
|
| 455 |
+
"epoch": 2.012987012987013,
|
| 456 |
+
"grad_norm": 0.25380605459213257,
|
| 457 |
+
"learning_rate": 0.0002,
|
| 458 |
+
"loss": 1.6565,
|
| 459 |
+
"step": 620
|
| 460 |
+
},
|
| 461 |
+
{
|
| 462 |
+
"epoch": 2.0454545454545454,
|
| 463 |
+
"grad_norm": 0.28460997343063354,
|
| 464 |
+
"learning_rate": 0.0002,
|
| 465 |
+
"loss": 1.6043,
|
| 466 |
+
"step": 630
|
| 467 |
+
},
|
| 468 |
+
{
|
| 469 |
+
"epoch": 2.0779220779220777,
|
| 470 |
+
"grad_norm": 0.31530654430389404,
|
| 471 |
+
"learning_rate": 0.0002,
|
| 472 |
+
"loss": 1.7345,
|
| 473 |
+
"step": 640
|
| 474 |
+
},
|
| 475 |
+
{
|
| 476 |
+
"epoch": 2.1103896103896105,
|
| 477 |
+
"grad_norm": 0.30611202120780945,
|
| 478 |
+
"learning_rate": 0.0002,
|
| 479 |
+
"loss": 1.6077,
|
| 480 |
+
"step": 650
|
| 481 |
+
},
|
| 482 |
+
{
|
| 483 |
+
"epoch": 2.142857142857143,
|
| 484 |
+
"grad_norm": 0.30674979090690613,
|
| 485 |
+
"learning_rate": 0.0002,
|
| 486 |
+
"loss": 1.6685,
|
| 487 |
+
"step": 660
|
| 488 |
+
},
|
| 489 |
+
{
|
| 490 |
+
"epoch": 2.175324675324675,
|
| 491 |
+
"grad_norm": 0.34276270866394043,
|
| 492 |
+
"learning_rate": 0.0002,
|
| 493 |
+
"loss": 1.6063,
|
| 494 |
+
"step": 670
|
| 495 |
+
},
|
| 496 |
+
{
|
| 497 |
+
"epoch": 2.207792207792208,
|
| 498 |
+
"grad_norm": 0.30068185925483704,
|
| 499 |
+
"learning_rate": 0.0002,
|
| 500 |
+
"loss": 1.6985,
|
| 501 |
+
"step": 680
|
| 502 |
+
},
|
| 503 |
+
{
|
| 504 |
+
"epoch": 2.24025974025974,
|
| 505 |
+
"grad_norm": 0.3197493851184845,
|
| 506 |
+
"learning_rate": 0.0002,
|
| 507 |
+
"loss": 1.5869,
|
| 508 |
+
"step": 690
|
| 509 |
+
},
|
| 510 |
+
{
|
| 511 |
+
"epoch": 2.2727272727272725,
|
| 512 |
+
"grad_norm": 0.3080422878265381,
|
| 513 |
+
"learning_rate": 0.0002,
|
| 514 |
+
"loss": 1.5993,
|
| 515 |
+
"step": 700
|
| 516 |
+
},
|
| 517 |
+
{
|
| 518 |
+
"epoch": 2.3051948051948052,
|
| 519 |
+
"grad_norm": 0.32039162516593933,
|
| 520 |
+
"learning_rate": 0.0002,
|
| 521 |
+
"loss": 1.634,
|
| 522 |
+
"step": 710
|
| 523 |
+
},
|
| 524 |
+
{
|
| 525 |
+
"epoch": 2.3376623376623376,
|
| 526 |
+
"grad_norm": 0.32778531312942505,
|
| 527 |
+
"learning_rate": 0.0002,
|
| 528 |
+
"loss": 1.6303,
|
| 529 |
+
"step": 720
|
| 530 |
+
},
|
| 531 |
+
{
|
| 532 |
+
"epoch": 2.3701298701298703,
|
| 533 |
+
"grad_norm": 0.31763869524002075,
|
| 534 |
+
"learning_rate": 0.0002,
|
| 535 |
+
"loss": 1.6783,
|
| 536 |
+
"step": 730
|
| 537 |
+
},
|
| 538 |
+
{
|
| 539 |
+
"epoch": 2.4025974025974026,
|
| 540 |
+
"grad_norm": 0.3438641130924225,
|
| 541 |
+
"learning_rate": 0.0002,
|
| 542 |
+
"loss": 1.5866,
|
| 543 |
+
"step": 740
|
| 544 |
+
},
|
| 545 |
+
{
|
| 546 |
+
"epoch": 2.435064935064935,
|
| 547 |
+
"grad_norm": 0.30254635214805603,
|
| 548 |
+
"learning_rate": 0.0002,
|
| 549 |
+
"loss": 1.6238,
|
| 550 |
+
"step": 750
|
| 551 |
+
},
|
| 552 |
+
{
|
| 553 |
+
"epoch": 2.4675324675324677,
|
| 554 |
+
"grad_norm": 0.3287079930305481,
|
| 555 |
+
"learning_rate": 0.0002,
|
| 556 |
+
"loss": 1.6321,
|
| 557 |
+
"step": 760
|
| 558 |
+
},
|
| 559 |
+
{
|
| 560 |
+
"epoch": 2.5,
|
| 561 |
+
"grad_norm": 0.31394457817077637,
|
| 562 |
+
"learning_rate": 0.0002,
|
| 563 |
+
"loss": 1.6103,
|
| 564 |
+
"step": 770
|
| 565 |
+
},
|
| 566 |
+
{
|
| 567 |
+
"epoch": 2.5324675324675323,
|
| 568 |
+
"grad_norm": 0.34165051579475403,
|
| 569 |
+
"learning_rate": 0.0002,
|
| 570 |
+
"loss": 1.6384,
|
| 571 |
+
"step": 780
|
| 572 |
+
},
|
| 573 |
+
{
|
| 574 |
+
"epoch": 2.564935064935065,
|
| 575 |
+
"grad_norm": 0.3315567970275879,
|
| 576 |
+
"learning_rate": 0.0002,
|
| 577 |
+
"loss": 1.6555,
|
| 578 |
+
"step": 790
|
| 579 |
+
},
|
| 580 |
+
{
|
| 581 |
+
"epoch": 2.5974025974025974,
|
| 582 |
+
"grad_norm": 0.3183658719062805,
|
| 583 |
+
"learning_rate": 0.0002,
|
| 584 |
+
"loss": 1.6041,
|
| 585 |
+
"step": 800
|
| 586 |
+
},
|
| 587 |
+
{
|
| 588 |
+
"epoch": 2.62987012987013,
|
| 589 |
+
"grad_norm": 0.29442286491394043,
|
| 590 |
+
"learning_rate": 0.0002,
|
| 591 |
+
"loss": 1.6149,
|
| 592 |
+
"step": 810
|
| 593 |
+
},
|
| 594 |
+
{
|
| 595 |
+
"epoch": 2.6623376623376624,
|
| 596 |
+
"grad_norm": 0.3735957741737366,
|
| 597 |
+
"learning_rate": 0.0002,
|
| 598 |
+
"loss": 1.5689,
|
| 599 |
+
"step": 820
|
| 600 |
+
},
|
| 601 |
+
{
|
| 602 |
+
"epoch": 2.6948051948051948,
|
| 603 |
+
"grad_norm": 0.34174075722694397,
|
| 604 |
+
"learning_rate": 0.0002,
|
| 605 |
+
"loss": 1.6763,
|
| 606 |
+
"step": 830
|
| 607 |
+
},
|
| 608 |
+
{
|
| 609 |
+
"epoch": 2.7272727272727275,
|
| 610 |
+
"grad_norm": 0.3265220820903778,
|
| 611 |
+
"learning_rate": 0.0002,
|
| 612 |
+
"loss": 1.6333,
|
| 613 |
+
"step": 840
|
| 614 |
+
},
|
| 615 |
+
{
|
| 616 |
+
"epoch": 2.75974025974026,
|
| 617 |
+
"grad_norm": 0.3356368839740753,
|
| 618 |
+
"learning_rate": 0.0002,
|
| 619 |
+
"loss": 1.5971,
|
| 620 |
+
"step": 850
|
| 621 |
+
},
|
| 622 |
+
{
|
| 623 |
+
"epoch": 2.792207792207792,
|
| 624 |
+
"grad_norm": 0.33430132269859314,
|
| 625 |
+
"learning_rate": 0.0002,
|
| 626 |
+
"loss": 1.6042,
|
| 627 |
+
"step": 860
|
| 628 |
+
},
|
| 629 |
+
{
|
| 630 |
+
"epoch": 2.824675324675325,
|
| 631 |
+
"grad_norm": 0.28999271988868713,
|
| 632 |
+
"learning_rate": 0.0002,
|
| 633 |
+
"loss": 1.5982,
|
| 634 |
+
"step": 870
|
| 635 |
+
},
|
| 636 |
+
{
|
| 637 |
+
"epoch": 2.857142857142857,
|
| 638 |
+
"grad_norm": 0.3253968358039856,
|
| 639 |
+
"learning_rate": 0.0002,
|
| 640 |
+
"loss": 1.6189,
|
| 641 |
+
"step": 880
|
| 642 |
+
},
|
| 643 |
+
{
|
| 644 |
+
"epoch": 2.8896103896103895,
|
| 645 |
+
"grad_norm": 0.291964054107666,
|
| 646 |
+
"learning_rate": 0.0002,
|
| 647 |
+
"loss": 1.6011,
|
| 648 |
+
"step": 890
|
| 649 |
+
},
|
| 650 |
+
{
|
| 651 |
+
"epoch": 2.9220779220779223,
|
| 652 |
+
"grad_norm": 0.32170912623405457,
|
| 653 |
+
"learning_rate": 0.0002,
|
| 654 |
+
"loss": 1.6854,
|
| 655 |
+
"step": 900
|
| 656 |
+
},
|
| 657 |
+
{
|
| 658 |
+
"epoch": 2.9545454545454546,
|
| 659 |
+
"grad_norm": 0.2738993465900421,
|
| 660 |
+
"learning_rate": 0.0002,
|
| 661 |
+
"loss": 1.7219,
|
| 662 |
+
"step": 910
|
| 663 |
+
},
|
| 664 |
+
{
|
| 665 |
+
"epoch": 2.987012987012987,
|
| 666 |
+
"grad_norm": 0.29856377840042114,
|
| 667 |
+
"learning_rate": 0.0002,
|
| 668 |
+
"loss": 1.667,
|
| 669 |
+
"step": 920
|
| 670 |
+
},
|
| 671 |
+
{
|
| 672 |
+
"epoch": 3.0,
|
| 673 |
+
"eval_loss": 1.7705217599868774,
|
| 674 |
+
"eval_runtime": 115.3403,
|
| 675 |
+
"eval_samples_per_second": 4.612,
|
| 676 |
+
"eval_steps_per_second": 0.581,
|
| 677 |
+
"step": 924
|
| 678 |
+
},
|
| 679 |
+
{
|
| 680 |
+
"epoch": 3.0194805194805197,
|
| 681 |
+
"grad_norm": 0.3272620439529419,
|
| 682 |
+
"learning_rate": 0.0002,
|
| 683 |
+
"loss": 1.5876,
|
| 684 |
+
"step": 930
|
| 685 |
+
},
|
| 686 |
+
{
|
| 687 |
+
"epoch": 3.051948051948052,
|
| 688 |
+
"grad_norm": 0.3484354019165039,
|
| 689 |
+
"learning_rate": 0.0002,
|
| 690 |
+
"loss": 1.6262,
|
| 691 |
+
"step": 940
|
| 692 |
+
},
|
| 693 |
+
{
|
| 694 |
+
"epoch": 3.0844155844155843,
|
| 695 |
+
"grad_norm": 0.35202738642692566,
|
| 696 |
+
"learning_rate": 0.0002,
|
| 697 |
+
"loss": 1.5092,
|
| 698 |
+
"step": 950
|
| 699 |
+
},
|
| 700 |
+
{
|
| 701 |
+
"epoch": 3.116883116883117,
|
| 702 |
+
"grad_norm": 0.3635590076446533,
|
| 703 |
+
"learning_rate": 0.0002,
|
| 704 |
+
"loss": 1.5524,
|
| 705 |
+
"step": 960
|
| 706 |
+
},
|
| 707 |
+
{
|
| 708 |
+
"epoch": 3.1493506493506493,
|
| 709 |
+
"grad_norm": 0.39253556728363037,
|
| 710 |
+
"learning_rate": 0.0002,
|
| 711 |
+
"loss": 1.5169,
|
| 712 |
+
"step": 970
|
| 713 |
+
},
|
| 714 |
+
{
|
| 715 |
+
"epoch": 3.1818181818181817,
|
| 716 |
+
"grad_norm": 0.4007384777069092,
|
| 717 |
+
"learning_rate": 0.0002,
|
| 718 |
+
"loss": 1.5001,
|
| 719 |
+
"step": 980
|
| 720 |
+
},
|
| 721 |
+
{
|
| 722 |
+
"epoch": 3.2142857142857144,
|
| 723 |
+
"grad_norm": 0.38897788524627686,
|
| 724 |
+
"learning_rate": 0.0002,
|
| 725 |
+
"loss": 1.5639,
|
| 726 |
+
"step": 990
|
| 727 |
+
},
|
| 728 |
+
{
|
| 729 |
+
"epoch": 3.2467532467532467,
|
| 730 |
+
"grad_norm": 0.38462474942207336,
|
| 731 |
+
"learning_rate": 0.0002,
|
| 732 |
+
"loss": 1.5791,
|
| 733 |
+
"step": 1000
|
| 734 |
+
},
|
| 735 |
+
{
|
| 736 |
+
"epoch": 3.279220779220779,
|
| 737 |
+
"grad_norm": 0.38225963711738586,
|
| 738 |
+
"learning_rate": 0.0002,
|
| 739 |
+
"loss": 1.4918,
|
| 740 |
+
"step": 1010
|
| 741 |
+
},
|
| 742 |
+
{
|
| 743 |
+
"epoch": 3.311688311688312,
|
| 744 |
+
"grad_norm": 0.4058142602443695,
|
| 745 |
+
"learning_rate": 0.0002,
|
| 746 |
+
"loss": 1.5094,
|
| 747 |
+
"step": 1020
|
| 748 |
+
},
|
| 749 |
+
{
|
| 750 |
+
"epoch": 3.344155844155844,
|
| 751 |
+
"grad_norm": 0.39580652117729187,
|
| 752 |
+
"learning_rate": 0.0002,
|
| 753 |
+
"loss": 1.5905,
|
| 754 |
+
"step": 1030
|
| 755 |
+
},
|
| 756 |
+
{
|
| 757 |
+
"epoch": 3.3766233766233764,
|
| 758 |
+
"grad_norm": 0.42998549342155457,
|
| 759 |
+
"learning_rate": 0.0002,
|
| 760 |
+
"loss": 1.5894,
|
| 761 |
+
"step": 1040
|
| 762 |
+
},
|
| 763 |
+
{
|
| 764 |
+
"epoch": 3.409090909090909,
|
| 765 |
+
"grad_norm": 0.3940870761871338,
|
| 766 |
+
"learning_rate": 0.0002,
|
| 767 |
+
"loss": 1.548,
|
| 768 |
+
"step": 1050
|
| 769 |
+
},
|
| 770 |
+
{
|
| 771 |
+
"epoch": 3.4415584415584415,
|
| 772 |
+
"grad_norm": 0.4069645404815674,
|
| 773 |
+
"learning_rate": 0.0002,
|
| 774 |
+
"loss": 1.6527,
|
| 775 |
+
"step": 1060
|
| 776 |
+
},
|
| 777 |
+
{
|
| 778 |
+
"epoch": 3.474025974025974,
|
| 779 |
+
"grad_norm": 0.386883407831192,
|
| 780 |
+
"learning_rate": 0.0002,
|
| 781 |
+
"loss": 1.6035,
|
| 782 |
+
"step": 1070
|
| 783 |
+
},
|
| 784 |
+
{
|
| 785 |
+
"epoch": 3.5064935064935066,
|
| 786 |
+
"grad_norm": 0.4978795051574707,
|
| 787 |
+
"learning_rate": 0.0002,
|
| 788 |
+
"loss": 1.5991,
|
| 789 |
+
"step": 1080
|
| 790 |
+
},
|
| 791 |
+
{
|
| 792 |
+
"epoch": 3.538961038961039,
|
| 793 |
+
"grad_norm": 0.4167064130306244,
|
| 794 |
+
"learning_rate": 0.0002,
|
| 795 |
+
"loss": 1.555,
|
| 796 |
+
"step": 1090
|
| 797 |
+
},
|
| 798 |
+
{
|
| 799 |
+
"epoch": 3.571428571428571,
|
| 800 |
+
"grad_norm": 0.38199925422668457,
|
| 801 |
+
"learning_rate": 0.0002,
|
| 802 |
+
"loss": 1.5393,
|
| 803 |
+
"step": 1100
|
| 804 |
+
},
|
| 805 |
+
{
|
| 806 |
+
"epoch": 3.603896103896104,
|
| 807 |
+
"grad_norm": 0.4170112609863281,
|
| 808 |
+
"learning_rate": 0.0002,
|
| 809 |
+
"loss": 1.5206,
|
| 810 |
+
"step": 1110
|
| 811 |
+
},
|
| 812 |
+
{
|
| 813 |
+
"epoch": 3.6363636363636362,
|
| 814 |
+
"grad_norm": 0.4023001194000244,
|
| 815 |
+
"learning_rate": 0.0002,
|
| 816 |
+
"loss": 1.5336,
|
| 817 |
+
"step": 1120
|
| 818 |
+
},
|
| 819 |
+
{
|
| 820 |
+
"epoch": 3.6688311688311686,
|
| 821 |
+
"grad_norm": 0.44960418343544006,
|
| 822 |
+
"learning_rate": 0.0002,
|
| 823 |
+
"loss": 1.5324,
|
| 824 |
+
"step": 1130
|
| 825 |
+
},
|
| 826 |
+
{
|
| 827 |
+
"epoch": 3.7012987012987013,
|
| 828 |
+
"grad_norm": 0.4334756135940552,
|
| 829 |
+
"learning_rate": 0.0002,
|
| 830 |
+
"loss": 1.5784,
|
| 831 |
+
"step": 1140
|
| 832 |
+
},
|
| 833 |
+
{
|
| 834 |
+
"epoch": 3.7337662337662336,
|
| 835 |
+
"grad_norm": 0.38534295558929443,
|
| 836 |
+
"learning_rate": 0.0002,
|
| 837 |
+
"loss": 1.5018,
|
| 838 |
+
"step": 1150
|
| 839 |
+
},
|
| 840 |
+
{
|
| 841 |
+
"epoch": 3.7662337662337664,
|
| 842 |
+
"grad_norm": 0.40537452697753906,
|
| 843 |
+
"learning_rate": 0.0002,
|
| 844 |
+
"loss": 1.6091,
|
| 845 |
+
"step": 1160
|
| 846 |
+
},
|
| 847 |
+
{
|
| 848 |
+
"epoch": 3.7987012987012987,
|
| 849 |
+
"grad_norm": 0.4050034284591675,
|
| 850 |
+
"learning_rate": 0.0002,
|
| 851 |
+
"loss": 1.5303,
|
| 852 |
+
"step": 1170
|
| 853 |
+
},
|
| 854 |
+
{
|
| 855 |
+
"epoch": 3.8311688311688314,
|
| 856 |
+
"grad_norm": 0.3953498303890228,
|
| 857 |
+
"learning_rate": 0.0002,
|
| 858 |
+
"loss": 1.5082,
|
| 859 |
+
"step": 1180
|
| 860 |
+
},
|
| 861 |
+
{
|
| 862 |
+
"epoch": 3.8636363636363638,
|
| 863 |
+
"grad_norm": 0.4208937883377075,
|
| 864 |
+
"learning_rate": 0.0002,
|
| 865 |
+
"loss": 1.5402,
|
| 866 |
+
"step": 1190
|
| 867 |
+
},
|
| 868 |
+
{
|
| 869 |
+
"epoch": 3.896103896103896,
|
| 870 |
+
"grad_norm": 0.4181132912635803,
|
| 871 |
+
"learning_rate": 0.0002,
|
| 872 |
+
"loss": 1.5657,
|
| 873 |
+
"step": 1200
|
| 874 |
+
},
|
| 875 |
+
{
|
| 876 |
+
"epoch": 3.928571428571429,
|
| 877 |
+
"grad_norm": 0.4108502268791199,
|
| 878 |
+
"learning_rate": 0.0002,
|
| 879 |
+
"loss": 1.6202,
|
| 880 |
+
"step": 1210
|
| 881 |
+
},
|
| 882 |
+
{
|
| 883 |
+
"epoch": 3.961038961038961,
|
| 884 |
+
"grad_norm": 0.3819066882133484,
|
| 885 |
+
"learning_rate": 0.0002,
|
| 886 |
+
"loss": 1.5157,
|
| 887 |
+
"step": 1220
|
| 888 |
+
},
|
| 889 |
+
{
|
| 890 |
+
"epoch": 3.9935064935064934,
|
| 891 |
+
"grad_norm": 0.3682127892971039,
|
| 892 |
+
"learning_rate": 0.0002,
|
| 893 |
+
"loss": 1.4595,
|
| 894 |
+
"step": 1230
|
| 895 |
+
},
|
| 896 |
+
{
|
| 897 |
+
"epoch": 4.0,
|
| 898 |
+
"eval_loss": 1.7993888854980469,
|
| 899 |
+
"eval_runtime": 115.4041,
|
| 900 |
+
"eval_samples_per_second": 4.61,
|
| 901 |
+
"eval_steps_per_second": 0.581,
|
| 902 |
+
"step": 1232
|
| 903 |
+
},
|
| 904 |
+
{
|
| 905 |
+
"epoch": 4.025974025974026,
|
| 906 |
+
"grad_norm": 0.446053683757782,
|
| 907 |
+
"learning_rate": 0.0002,
|
| 908 |
+
"loss": 1.4387,
|
| 909 |
+
"step": 1240
|
| 910 |
+
},
|
| 911 |
+
{
|
| 912 |
+
"epoch": 4.058441558441558,
|
| 913 |
+
"grad_norm": 0.45109686255455017,
|
| 914 |
+
"learning_rate": 0.0002,
|
| 915 |
+
"loss": 1.4896,
|
| 916 |
+
"step": 1250
|
| 917 |
+
},
|
| 918 |
+
{
|
| 919 |
+
"epoch": 4.090909090909091,
|
| 920 |
+
"grad_norm": 0.48673322796821594,
|
| 921 |
+
"learning_rate": 0.0002,
|
| 922 |
+
"loss": 1.4838,
|
| 923 |
+
"step": 1260
|
| 924 |
+
},
|
| 925 |
+
{
|
| 926 |
+
"epoch": 4.123376623376624,
|
| 927 |
+
"grad_norm": 0.46708911657333374,
|
| 928 |
+
"learning_rate": 0.0002,
|
| 929 |
+
"loss": 1.4905,
|
| 930 |
+
"step": 1270
|
| 931 |
+
},
|
| 932 |
+
{
|
| 933 |
+
"epoch": 4.1558441558441555,
|
| 934 |
+
"grad_norm": 0.5715873837471008,
|
| 935 |
+
"learning_rate": 0.0002,
|
| 936 |
+
"loss": 1.4315,
|
| 937 |
+
"step": 1280
|
| 938 |
+
},
|
| 939 |
+
{
|
| 940 |
+
"epoch": 4.188311688311688,
|
| 941 |
+
"grad_norm": 0.5619666576385498,
|
| 942 |
+
"learning_rate": 0.0002,
|
| 943 |
+
"loss": 1.4223,
|
| 944 |
+
"step": 1290
|
| 945 |
+
},
|
| 946 |
+
{
|
| 947 |
+
"epoch": 4.220779220779221,
|
| 948 |
+
"grad_norm": 0.5654240250587463,
|
| 949 |
+
"learning_rate": 0.0002,
|
| 950 |
+
"loss": 1.4439,
|
| 951 |
+
"step": 1300
|
| 952 |
+
},
|
| 953 |
+
{
|
| 954 |
+
"epoch": 4.253246753246753,
|
| 955 |
+
"grad_norm": 0.597672700881958,
|
| 956 |
+
"learning_rate": 0.0002,
|
| 957 |
+
"loss": 1.4349,
|
| 958 |
+
"step": 1310
|
| 959 |
+
},
|
| 960 |
+
{
|
| 961 |
+
"epoch": 4.285714285714286,
|
| 962 |
+
"grad_norm": 0.5012733936309814,
|
| 963 |
+
"learning_rate": 0.0002,
|
| 964 |
+
"loss": 1.4762,
|
| 965 |
+
"step": 1320
|
| 966 |
+
},
|
| 967 |
+
{
|
| 968 |
+
"epoch": 4.318181818181818,
|
| 969 |
+
"grad_norm": 0.5443211793899536,
|
| 970 |
+
"learning_rate": 0.0002,
|
| 971 |
+
"loss": 1.431,
|
| 972 |
+
"step": 1330
|
| 973 |
+
},
|
| 974 |
+
{
|
| 975 |
+
"epoch": 4.35064935064935,
|
| 976 |
+
"grad_norm": 0.5234072208404541,
|
| 977 |
+
"learning_rate": 0.0002,
|
| 978 |
+
"loss": 1.513,
|
| 979 |
+
"step": 1340
|
| 980 |
+
},
|
| 981 |
+
{
|
| 982 |
+
"epoch": 4.383116883116883,
|
| 983 |
+
"grad_norm": 0.5355457067489624,
|
| 984 |
+
"learning_rate": 0.0002,
|
| 985 |
+
"loss": 1.4977,
|
| 986 |
+
"step": 1350
|
| 987 |
+
},
|
| 988 |
+
{
|
| 989 |
+
"epoch": 4.415584415584416,
|
| 990 |
+
"grad_norm": 0.5286158919334412,
|
| 991 |
+
"learning_rate": 0.0002,
|
| 992 |
+
"loss": 1.4997,
|
| 993 |
+
"step": 1360
|
| 994 |
+
},
|
| 995 |
+
{
|
| 996 |
+
"epoch": 4.448051948051948,
|
| 997 |
+
"grad_norm": 0.5439335107803345,
|
| 998 |
+
"learning_rate": 0.0002,
|
| 999 |
+
"loss": 1.4659,
|
| 1000 |
+
"step": 1370
|
| 1001 |
+
},
|
| 1002 |
+
{
|
| 1003 |
+
"epoch": 4.48051948051948,
|
| 1004 |
+
"grad_norm": 0.48760029673576355,
|
| 1005 |
+
"learning_rate": 0.0002,
|
| 1006 |
+
"loss": 1.432,
|
| 1007 |
+
"step": 1380
|
| 1008 |
+
},
|
| 1009 |
+
{
|
| 1010 |
+
"epoch": 4.512987012987013,
|
| 1011 |
+
"grad_norm": 0.5220261216163635,
|
| 1012 |
+
"learning_rate": 0.0002,
|
| 1013 |
+
"loss": 1.482,
|
| 1014 |
+
"step": 1390
|
| 1015 |
+
},
|
| 1016 |
+
{
|
| 1017 |
+
"epoch": 4.545454545454545,
|
| 1018 |
+
"grad_norm": 0.5583887100219727,
|
| 1019 |
+
"learning_rate": 0.0002,
|
| 1020 |
+
"loss": 1.4622,
|
| 1021 |
+
"step": 1400
|
| 1022 |
+
},
|
| 1023 |
+
{
|
| 1024 |
+
"epoch": 4.577922077922078,
|
| 1025 |
+
"grad_norm": 0.5749692320823669,
|
| 1026 |
+
"learning_rate": 0.0002,
|
| 1027 |
+
"loss": 1.4822,
|
| 1028 |
+
"step": 1410
|
| 1029 |
+
},
|
| 1030 |
+
{
|
| 1031 |
+
"epoch": 4.6103896103896105,
|
| 1032 |
+
"grad_norm": 0.5173711180686951,
|
| 1033 |
+
"learning_rate": 0.0002,
|
| 1034 |
+
"loss": 1.4512,
|
| 1035 |
+
"step": 1420
|
| 1036 |
+
},
|
| 1037 |
+
{
|
| 1038 |
+
"epoch": 4.642857142857143,
|
| 1039 |
+
"grad_norm": 0.47573772072792053,
|
| 1040 |
+
"learning_rate": 0.0002,
|
| 1041 |
+
"loss": 1.4657,
|
| 1042 |
+
"step": 1430
|
| 1043 |
+
},
|
| 1044 |
+
{
|
| 1045 |
+
"epoch": 4.675324675324675,
|
| 1046 |
+
"grad_norm": 0.5032379031181335,
|
| 1047 |
+
"learning_rate": 0.0002,
|
| 1048 |
+
"loss": 1.3951,
|
| 1049 |
+
"step": 1440
|
| 1050 |
+
},
|
| 1051 |
+
{
|
| 1052 |
+
"epoch": 4.707792207792208,
|
| 1053 |
+
"grad_norm": 0.5489498972892761,
|
| 1054 |
+
"learning_rate": 0.0002,
|
| 1055 |
+
"loss": 1.3851,
|
| 1056 |
+
"step": 1450
|
| 1057 |
+
},
|
| 1058 |
+
{
|
| 1059 |
+
"epoch": 4.740259740259741,
|
| 1060 |
+
"grad_norm": 0.45405253767967224,
|
| 1061 |
+
"learning_rate": 0.0002,
|
| 1062 |
+
"loss": 1.4318,
|
| 1063 |
+
"step": 1460
|
| 1064 |
+
},
|
| 1065 |
+
{
|
| 1066 |
+
"epoch": 4.7727272727272725,
|
| 1067 |
+
"grad_norm": 0.5374584197998047,
|
| 1068 |
+
"learning_rate": 0.0002,
|
| 1069 |
+
"loss": 1.4504,
|
| 1070 |
+
"step": 1470
|
| 1071 |
+
},
|
| 1072 |
+
{
|
| 1073 |
+
"epoch": 4.805194805194805,
|
| 1074 |
+
"grad_norm": 0.5726877450942993,
|
| 1075 |
+
"learning_rate": 0.0002,
|
| 1076 |
+
"loss": 1.4764,
|
| 1077 |
+
"step": 1480
|
| 1078 |
+
},
|
| 1079 |
+
{
|
| 1080 |
+
"epoch": 4.837662337662338,
|
| 1081 |
+
"grad_norm": 0.5010805130004883,
|
| 1082 |
+
"learning_rate": 0.0002,
|
| 1083 |
+
"loss": 1.4387,
|
| 1084 |
+
"step": 1490
|
| 1085 |
+
},
|
| 1086 |
+
{
|
| 1087 |
+
"epoch": 4.87012987012987,
|
| 1088 |
+
"grad_norm": 0.5171884298324585,
|
| 1089 |
+
"learning_rate": 0.0002,
|
| 1090 |
+
"loss": 1.427,
|
| 1091 |
+
"step": 1500
|
| 1092 |
+
},
|
| 1093 |
+
{
|
| 1094 |
+
"epoch": 4.902597402597403,
|
| 1095 |
+
"grad_norm": 0.5789468884468079,
|
| 1096 |
+
"learning_rate": 0.0002,
|
| 1097 |
+
"loss": 1.4507,
|
| 1098 |
+
"step": 1510
|
| 1099 |
+
},
|
| 1100 |
+
{
|
| 1101 |
+
"epoch": 4.935064935064935,
|
| 1102 |
+
"grad_norm": 0.4989932179450989,
|
| 1103 |
+
"learning_rate": 0.0002,
|
| 1104 |
+
"loss": 1.4341,
|
| 1105 |
+
"step": 1520
|
| 1106 |
+
},
|
| 1107 |
+
{
|
| 1108 |
+
"epoch": 4.967532467532467,
|
| 1109 |
+
"grad_norm": 0.5641090869903564,
|
| 1110 |
+
"learning_rate": 0.0002,
|
| 1111 |
+
"loss": 1.5556,
|
| 1112 |
+
"step": 1530
|
| 1113 |
+
},
|
| 1114 |
+
{
|
| 1115 |
+
"epoch": 5.0,
|
| 1116 |
+
"grad_norm": 0.5337041020393372,
|
| 1117 |
+
"learning_rate": 0.0002,
|
| 1118 |
+
"loss": 1.4618,
|
| 1119 |
+
"step": 1540
|
| 1120 |
+
},
|
| 1121 |
+
{
|
| 1122 |
+
"epoch": 5.0,
|
| 1123 |
+
"eval_loss": 1.8461486101150513,
|
| 1124 |
+
"eval_runtime": 115.277,
|
| 1125 |
+
"eval_samples_per_second": 4.615,
|
| 1126 |
+
"eval_steps_per_second": 0.581,
|
| 1127 |
+
"step": 1540
|
| 1128 |
+
}
|
| 1129 |
+
],
|
| 1130 |
+
"logging_steps": 10,
|
| 1131 |
+
"max_steps": 2464,
|
| 1132 |
+
"num_input_tokens_seen": 0,
|
| 1133 |
+
"num_train_epochs": 8,
|
| 1134 |
+
"save_steps": 200,
|
| 1135 |
+
"stateful_callbacks": {
|
| 1136 |
+
"TrainerControl": {
|
| 1137 |
+
"args": {
|
| 1138 |
+
"should_epoch_stop": false,
|
| 1139 |
+
"should_evaluate": false,
|
| 1140 |
+
"should_log": false,
|
| 1141 |
+
"should_save": true,
|
| 1142 |
+
"should_training_stop": false
|
| 1143 |
+
},
|
| 1144 |
+
"attributes": {}
|
| 1145 |
+
}
|
| 1146 |
+
},
|
| 1147 |
+
"total_flos": 6.709148777447424e+16,
|
| 1148 |
+
"train_batch_size": 1,
|
| 1149 |
+
"trial_name": null,
|
| 1150 |
+
"trial_params": null
|
| 1151 |
+
}
|
Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1540/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:400ef20a202cfadecd17fb2d658472b52fb2ddded63f69b1e6150e63cfc2de96
|
| 3 |
+
size 5560
|
Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1540/vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1848/README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: Qwen/Qwen2-7B-Instruct
|
| 3 |
+
library_name: peft
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- 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. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
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).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.13.1
|
Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1848/adapter_config.json
ADDED
|
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "Qwen/Qwen2-7B-Instruct",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": false,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layer_replication": null,
|
| 10 |
+
"layers_pattern": null,
|
| 11 |
+
"layers_to_transform": null,
|
| 12 |
+
"loftq_config": {},
|
| 13 |
+
"lora_alpha": 32,
|
| 14 |
+
"lora_dropout": 0.05,
|
| 15 |
+
"megatron_config": null,
|
| 16 |
+
"megatron_core": "megatron.core",
|
| 17 |
+
"modules_to_save": null,
|
| 18 |
+
"peft_type": "LORA",
|
| 19 |
+
"r": 64,
|
| 20 |
+
"rank_pattern": {},
|
| 21 |
+
"revision": null,
|
| 22 |
+
"target_modules": [
|
| 23 |
+
"v_proj",
|
| 24 |
+
"q_proj"
|
| 25 |
+
],
|
| 26 |
+
"task_type": "CAUSAL_LM",
|
| 27 |
+
"use_dora": false,
|
| 28 |
+
"use_rslora": false
|
| 29 |
+
}
|
Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1848/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ee4a45a06a92a40832e61ee4af2f3cebbb78b31bd260ddb1919fd0a38d55842d
|
| 3 |
+
size 80755416
|
Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1848/added_tokens.json
ADDED
|
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"<|endoftext|>": 151643,
|
| 3 |
+
"<|im_end|>": 151645,
|
| 4 |
+
"<|im_start|>": 151644
|
| 5 |
+
}
|
Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1848/merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1848/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:569a7ca48f48fc2921f255ffdf6f77a8321d2e1c1ad3c393d8252611cf945831
|
| 3 |
+
size 41136570
|
Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1848/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:caf0f7412c501d21ce2aa7a592a81eaf6381cb90a6824a8eec7b74be9e2203cc
|
| 3 |
+
size 14244
|
Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1848/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:30fcae4a89d4c234120b0406d6521923488e077e6c4aa142e4c91c84ecd612c3
|
| 3 |
+
size 1064
|
Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1848/special_tokens_map.json
ADDED
|
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<|im_start|>",
|
| 4 |
+
"<|im_end|>"
|
| 5 |
+
],
|
| 6 |
+
"eos_token": {
|
| 7 |
+
"content": "<|im_end|>",
|
| 8 |
+
"lstrip": false,
|
| 9 |
+
"normalized": false,
|
| 10 |
+
"rstrip": false,
|
| 11 |
+
"single_word": false
|
| 12 |
+
},
|
| 13 |
+
"pad_token": "<|im_end|>"
|
| 14 |
+
}
|
Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1848/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1848/tokenizer_config.json
ADDED
|
@@ -0,0 +1,43 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"added_tokens_decoder": {
|
| 4 |
+
"151643": {
|
| 5 |
+
"content": "<|endoftext|>",
|
| 6 |
+
"lstrip": false,
|
| 7 |
+
"normalized": false,
|
| 8 |
+
"rstrip": false,
|
| 9 |
+
"single_word": false,
|
| 10 |
+
"special": true
|
| 11 |
+
},
|
| 12 |
+
"151644": {
|
| 13 |
+
"content": "<|im_start|>",
|
| 14 |
+
"lstrip": false,
|
| 15 |
+
"normalized": false,
|
| 16 |
+
"rstrip": false,
|
| 17 |
+
"single_word": false,
|
| 18 |
+
"special": true
|
| 19 |
+
},
|
| 20 |
+
"151645": {
|
| 21 |
+
"content": "<|im_end|>",
|
| 22 |
+
"lstrip": false,
|
| 23 |
+
"normalized": false,
|
| 24 |
+
"rstrip": false,
|
| 25 |
+
"single_word": false,
|
| 26 |
+
"special": true
|
| 27 |
+
}
|
| 28 |
+
},
|
| 29 |
+
"additional_special_tokens": [
|
| 30 |
+
"<|im_start|>",
|
| 31 |
+
"<|im_end|>"
|
| 32 |
+
],
|
| 33 |
+
"bos_token": null,
|
| 34 |
+
"chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
|
| 35 |
+
"clean_up_tokenization_spaces": false,
|
| 36 |
+
"eos_token": "<|im_end|>",
|
| 37 |
+
"errors": "replace",
|
| 38 |
+
"model_max_length": 131072,
|
| 39 |
+
"pad_token": "<|im_end|>",
|
| 40 |
+
"split_special_tokens": false,
|
| 41 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 42 |
+
"unk_token": null
|
| 43 |
+
}
|
Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1848/trainer_state.json
ADDED
|
@@ -0,0 +1,1369 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 1.765038251876831,
|
| 3 |
+
"best_model_checkpoint": "outputs-001/Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-616",
|
| 4 |
+
"epoch": 6.0,
|
| 5 |
+
"eval_steps": 10,
|
| 6 |
+
"global_step": 1848,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.032467532467532464,
|
| 13 |
+
"grad_norm": 0.31557697057724,
|
| 14 |
+
"learning_rate": 0.0002,
|
| 15 |
+
"loss": 2.4028,
|
| 16 |
+
"step": 10
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.06493506493506493,
|
| 20 |
+
"grad_norm": 0.3265437185764313,
|
| 21 |
+
"learning_rate": 0.0002,
|
| 22 |
+
"loss": 2.1466,
|
| 23 |
+
"step": 20
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.09740259740259741,
|
| 27 |
+
"grad_norm": 0.3424590229988098,
|
| 28 |
+
"learning_rate": 0.0002,
|
| 29 |
+
"loss": 1.9549,
|
| 30 |
+
"step": 30
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.12987012987012986,
|
| 34 |
+
"grad_norm": 0.30609560012817383,
|
| 35 |
+
"learning_rate": 0.0002,
|
| 36 |
+
"loss": 1.8464,
|
| 37 |
+
"step": 40
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.16233766233766234,
|
| 41 |
+
"grad_norm": 0.3285873532295227,
|
| 42 |
+
"learning_rate": 0.0002,
|
| 43 |
+
"loss": 1.9203,
|
| 44 |
+
"step": 50
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.19480519480519481,
|
| 48 |
+
"grad_norm": 0.2855139374732971,
|
| 49 |
+
"learning_rate": 0.0002,
|
| 50 |
+
"loss": 1.7946,
|
| 51 |
+
"step": 60
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.22727272727272727,
|
| 55 |
+
"grad_norm": 0.283848375082016,
|
| 56 |
+
"learning_rate": 0.0002,
|
| 57 |
+
"loss": 1.7618,
|
| 58 |
+
"step": 70
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.2597402597402597,
|
| 62 |
+
"grad_norm": 0.2915274202823639,
|
| 63 |
+
"learning_rate": 0.0002,
|
| 64 |
+
"loss": 1.7875,
|
| 65 |
+
"step": 80
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.2922077922077922,
|
| 69 |
+
"grad_norm": 0.26927152276039124,
|
| 70 |
+
"learning_rate": 0.0002,
|
| 71 |
+
"loss": 1.7673,
|
| 72 |
+
"step": 90
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.3246753246753247,
|
| 76 |
+
"grad_norm": 0.29594847559928894,
|
| 77 |
+
"learning_rate": 0.0002,
|
| 78 |
+
"loss": 1.6726,
|
| 79 |
+
"step": 100
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.35714285714285715,
|
| 83 |
+
"grad_norm": 0.36750105023384094,
|
| 84 |
+
"learning_rate": 0.0002,
|
| 85 |
+
"loss": 1.7333,
|
| 86 |
+
"step": 110
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.38961038961038963,
|
| 90 |
+
"grad_norm": 0.32430270314216614,
|
| 91 |
+
"learning_rate": 0.0002,
|
| 92 |
+
"loss": 1.7772,
|
| 93 |
+
"step": 120
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.42207792207792205,
|
| 97 |
+
"grad_norm": 0.2767448127269745,
|
| 98 |
+
"learning_rate": 0.0002,
|
| 99 |
+
"loss": 1.731,
|
| 100 |
+
"step": 130
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.45454545454545453,
|
| 104 |
+
"grad_norm": 0.244296595454216,
|
| 105 |
+
"learning_rate": 0.0002,
|
| 106 |
+
"loss": 1.7604,
|
| 107 |
+
"step": 140
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.487012987012987,
|
| 111 |
+
"grad_norm": 0.25791823863983154,
|
| 112 |
+
"learning_rate": 0.0002,
|
| 113 |
+
"loss": 1.7172,
|
| 114 |
+
"step": 150
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.5194805194805194,
|
| 118 |
+
"grad_norm": 0.25496479868888855,
|
| 119 |
+
"learning_rate": 0.0002,
|
| 120 |
+
"loss": 1.7509,
|
| 121 |
+
"step": 160
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.551948051948052,
|
| 125 |
+
"grad_norm": 0.2770450711250305,
|
| 126 |
+
"learning_rate": 0.0002,
|
| 127 |
+
"loss": 1.7328,
|
| 128 |
+
"step": 170
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.5844155844155844,
|
| 132 |
+
"grad_norm": 0.2971339821815491,
|
| 133 |
+
"learning_rate": 0.0002,
|
| 134 |
+
"loss": 1.8008,
|
| 135 |
+
"step": 180
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.6168831168831169,
|
| 139 |
+
"grad_norm": 0.3165527880191803,
|
| 140 |
+
"learning_rate": 0.0002,
|
| 141 |
+
"loss": 1.6805,
|
| 142 |
+
"step": 190
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.6493506493506493,
|
| 146 |
+
"grad_norm": 0.24732241034507751,
|
| 147 |
+
"learning_rate": 0.0002,
|
| 148 |
+
"loss": 1.732,
|
| 149 |
+
"step": 200
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.6818181818181818,
|
| 153 |
+
"grad_norm": 0.28333306312561035,
|
| 154 |
+
"learning_rate": 0.0002,
|
| 155 |
+
"loss": 1.6933,
|
| 156 |
+
"step": 210
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.7142857142857143,
|
| 160 |
+
"grad_norm": 0.24870498478412628,
|
| 161 |
+
"learning_rate": 0.0002,
|
| 162 |
+
"loss": 1.7324,
|
| 163 |
+
"step": 220
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.7467532467532467,
|
| 167 |
+
"grad_norm": 0.2484978884458542,
|
| 168 |
+
"learning_rate": 0.0002,
|
| 169 |
+
"loss": 1.7697,
|
| 170 |
+
"step": 230
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.7792207792207793,
|
| 174 |
+
"grad_norm": 0.2282458394765854,
|
| 175 |
+
"learning_rate": 0.0002,
|
| 176 |
+
"loss": 1.7624,
|
| 177 |
+
"step": 240
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.8116883116883117,
|
| 181 |
+
"grad_norm": 0.2552148699760437,
|
| 182 |
+
"learning_rate": 0.0002,
|
| 183 |
+
"loss": 1.7775,
|
| 184 |
+
"step": 250
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 0.8441558441558441,
|
| 188 |
+
"grad_norm": 0.25136545300483704,
|
| 189 |
+
"learning_rate": 0.0002,
|
| 190 |
+
"loss": 1.7153,
|
| 191 |
+
"step": 260
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.8766233766233766,
|
| 195 |
+
"grad_norm": 0.25096797943115234,
|
| 196 |
+
"learning_rate": 0.0002,
|
| 197 |
+
"loss": 1.7705,
|
| 198 |
+
"step": 270
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 0.9090909090909091,
|
| 202 |
+
"grad_norm": 0.3148603141307831,
|
| 203 |
+
"learning_rate": 0.0002,
|
| 204 |
+
"loss": 1.7842,
|
| 205 |
+
"step": 280
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 0.9415584415584416,
|
| 209 |
+
"grad_norm": 0.2533794343471527,
|
| 210 |
+
"learning_rate": 0.0002,
|
| 211 |
+
"loss": 1.6847,
|
| 212 |
+
"step": 290
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.974025974025974,
|
| 216 |
+
"grad_norm": 0.27348795533180237,
|
| 217 |
+
"learning_rate": 0.0002,
|
| 218 |
+
"loss": 1.7334,
|
| 219 |
+
"step": 300
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 1.0,
|
| 223 |
+
"eval_loss": 1.769331693649292,
|
| 224 |
+
"eval_runtime": 115.5699,
|
| 225 |
+
"eval_samples_per_second": 4.603,
|
| 226 |
+
"eval_steps_per_second": 0.58,
|
| 227 |
+
"step": 308
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 1.0064935064935066,
|
| 231 |
+
"grad_norm": 0.28133320808410645,
|
| 232 |
+
"learning_rate": 0.0002,
|
| 233 |
+
"loss": 1.6473,
|
| 234 |
+
"step": 310
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 1.0389610389610389,
|
| 238 |
+
"grad_norm": 0.2541237473487854,
|
| 239 |
+
"learning_rate": 0.0002,
|
| 240 |
+
"loss": 1.7067,
|
| 241 |
+
"step": 320
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"epoch": 1.0714285714285714,
|
| 245 |
+
"grad_norm": 0.25699320435523987,
|
| 246 |
+
"learning_rate": 0.0002,
|
| 247 |
+
"loss": 1.7422,
|
| 248 |
+
"step": 330
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 1.103896103896104,
|
| 252 |
+
"grad_norm": 0.26137059926986694,
|
| 253 |
+
"learning_rate": 0.0002,
|
| 254 |
+
"loss": 1.6737,
|
| 255 |
+
"step": 340
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 1.1363636363636362,
|
| 259 |
+
"grad_norm": 0.2718560993671417,
|
| 260 |
+
"learning_rate": 0.0002,
|
| 261 |
+
"loss": 1.7372,
|
| 262 |
+
"step": 350
|
| 263 |
+
},
|
| 264 |
+
{
|
| 265 |
+
"epoch": 1.1688311688311688,
|
| 266 |
+
"grad_norm": 0.23400403559207916,
|
| 267 |
+
"learning_rate": 0.0002,
|
| 268 |
+
"loss": 1.6809,
|
| 269 |
+
"step": 360
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 1.2012987012987013,
|
| 273 |
+
"grad_norm": 0.28257420659065247,
|
| 274 |
+
"learning_rate": 0.0002,
|
| 275 |
+
"loss": 1.6892,
|
| 276 |
+
"step": 370
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 1.2337662337662338,
|
| 280 |
+
"grad_norm": 0.3031129240989685,
|
| 281 |
+
"learning_rate": 0.0002,
|
| 282 |
+
"loss": 1.6945,
|
| 283 |
+
"step": 380
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"epoch": 1.2662337662337662,
|
| 287 |
+
"grad_norm": 0.3131062984466553,
|
| 288 |
+
"learning_rate": 0.0002,
|
| 289 |
+
"loss": 1.6611,
|
| 290 |
+
"step": 390
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 1.2987012987012987,
|
| 294 |
+
"grad_norm": 0.2594483494758606,
|
| 295 |
+
"learning_rate": 0.0002,
|
| 296 |
+
"loss": 1.6535,
|
| 297 |
+
"step": 400
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 1.3311688311688312,
|
| 301 |
+
"grad_norm": 0.2595517933368683,
|
| 302 |
+
"learning_rate": 0.0002,
|
| 303 |
+
"loss": 1.7275,
|
| 304 |
+
"step": 410
|
| 305 |
+
},
|
| 306 |
+
{
|
| 307 |
+
"epoch": 1.3636363636363638,
|
| 308 |
+
"grad_norm": 0.26333683729171753,
|
| 309 |
+
"learning_rate": 0.0002,
|
| 310 |
+
"loss": 1.6048,
|
| 311 |
+
"step": 420
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"epoch": 1.396103896103896,
|
| 315 |
+
"grad_norm": 0.3051556646823883,
|
| 316 |
+
"learning_rate": 0.0002,
|
| 317 |
+
"loss": 1.8342,
|
| 318 |
+
"step": 430
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 1.4285714285714286,
|
| 322 |
+
"grad_norm": 0.26060932874679565,
|
| 323 |
+
"learning_rate": 0.0002,
|
| 324 |
+
"loss": 1.694,
|
| 325 |
+
"step": 440
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"epoch": 1.4610389610389611,
|
| 329 |
+
"grad_norm": 0.282101571559906,
|
| 330 |
+
"learning_rate": 0.0002,
|
| 331 |
+
"loss": 1.6284,
|
| 332 |
+
"step": 450
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 1.4935064935064934,
|
| 336 |
+
"grad_norm": 0.2837599813938141,
|
| 337 |
+
"learning_rate": 0.0002,
|
| 338 |
+
"loss": 1.7301,
|
| 339 |
+
"step": 460
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 1.525974025974026,
|
| 343 |
+
"grad_norm": 0.2532821595668793,
|
| 344 |
+
"learning_rate": 0.0002,
|
| 345 |
+
"loss": 1.6769,
|
| 346 |
+
"step": 470
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 1.5584415584415585,
|
| 350 |
+
"grad_norm": 0.2448154091835022,
|
| 351 |
+
"learning_rate": 0.0002,
|
| 352 |
+
"loss": 1.6483,
|
| 353 |
+
"step": 480
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 1.5909090909090908,
|
| 357 |
+
"grad_norm": 0.2592053711414337,
|
| 358 |
+
"learning_rate": 0.0002,
|
| 359 |
+
"loss": 1.7212,
|
| 360 |
+
"step": 490
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 1.6233766233766234,
|
| 364 |
+
"grad_norm": 0.23606474697589874,
|
| 365 |
+
"learning_rate": 0.0002,
|
| 366 |
+
"loss": 1.7245,
|
| 367 |
+
"step": 500
|
| 368 |
+
},
|
| 369 |
+
{
|
| 370 |
+
"epoch": 1.655844155844156,
|
| 371 |
+
"grad_norm": 0.2693960964679718,
|
| 372 |
+
"learning_rate": 0.0002,
|
| 373 |
+
"loss": 1.7283,
|
| 374 |
+
"step": 510
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 1.6883116883116882,
|
| 378 |
+
"grad_norm": 0.28801923990249634,
|
| 379 |
+
"learning_rate": 0.0002,
|
| 380 |
+
"loss": 1.6573,
|
| 381 |
+
"step": 520
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 1.7207792207792207,
|
| 385 |
+
"grad_norm": 0.33677127957344055,
|
| 386 |
+
"learning_rate": 0.0002,
|
| 387 |
+
"loss": 1.654,
|
| 388 |
+
"step": 530
|
| 389 |
+
},
|
| 390 |
+
{
|
| 391 |
+
"epoch": 1.7532467532467533,
|
| 392 |
+
"grad_norm": 0.2794886529445648,
|
| 393 |
+
"learning_rate": 0.0002,
|
| 394 |
+
"loss": 1.7184,
|
| 395 |
+
"step": 540
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 1.7857142857142856,
|
| 399 |
+
"grad_norm": 0.2649626135826111,
|
| 400 |
+
"learning_rate": 0.0002,
|
| 401 |
+
"loss": 1.6204,
|
| 402 |
+
"step": 550
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 1.8181818181818183,
|
| 406 |
+
"grad_norm": 0.27729251980781555,
|
| 407 |
+
"learning_rate": 0.0002,
|
| 408 |
+
"loss": 1.7664,
|
| 409 |
+
"step": 560
|
| 410 |
+
},
|
| 411 |
+
{
|
| 412 |
+
"epoch": 1.8506493506493507,
|
| 413 |
+
"grad_norm": 0.2724396288394928,
|
| 414 |
+
"learning_rate": 0.0002,
|
| 415 |
+
"loss": 1.6099,
|
| 416 |
+
"step": 570
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 1.883116883116883,
|
| 420 |
+
"grad_norm": 0.25738948583602905,
|
| 421 |
+
"learning_rate": 0.0002,
|
| 422 |
+
"loss": 1.656,
|
| 423 |
+
"step": 580
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 1.9155844155844157,
|
| 427 |
+
"grad_norm": 0.2539234757423401,
|
| 428 |
+
"learning_rate": 0.0002,
|
| 429 |
+
"loss": 1.7401,
|
| 430 |
+
"step": 590
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"epoch": 1.948051948051948,
|
| 434 |
+
"grad_norm": 0.27087679505348206,
|
| 435 |
+
"learning_rate": 0.0002,
|
| 436 |
+
"loss": 1.6833,
|
| 437 |
+
"step": 600
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 1.9805194805194806,
|
| 441 |
+
"grad_norm": 0.2727901041507721,
|
| 442 |
+
"learning_rate": 0.0002,
|
| 443 |
+
"loss": 1.6934,
|
| 444 |
+
"step": 610
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 2.0,
|
| 448 |
+
"eval_loss": 1.765038251876831,
|
| 449 |
+
"eval_runtime": 117.4062,
|
| 450 |
+
"eval_samples_per_second": 4.531,
|
| 451 |
+
"eval_steps_per_second": 0.571,
|
| 452 |
+
"step": 616
|
| 453 |
+
},
|
| 454 |
+
{
|
| 455 |
+
"epoch": 2.012987012987013,
|
| 456 |
+
"grad_norm": 0.25380605459213257,
|
| 457 |
+
"learning_rate": 0.0002,
|
| 458 |
+
"loss": 1.6565,
|
| 459 |
+
"step": 620
|
| 460 |
+
},
|
| 461 |
+
{
|
| 462 |
+
"epoch": 2.0454545454545454,
|
| 463 |
+
"grad_norm": 0.28460997343063354,
|
| 464 |
+
"learning_rate": 0.0002,
|
| 465 |
+
"loss": 1.6043,
|
| 466 |
+
"step": 630
|
| 467 |
+
},
|
| 468 |
+
{
|
| 469 |
+
"epoch": 2.0779220779220777,
|
| 470 |
+
"grad_norm": 0.31530654430389404,
|
| 471 |
+
"learning_rate": 0.0002,
|
| 472 |
+
"loss": 1.7345,
|
| 473 |
+
"step": 640
|
| 474 |
+
},
|
| 475 |
+
{
|
| 476 |
+
"epoch": 2.1103896103896105,
|
| 477 |
+
"grad_norm": 0.30611202120780945,
|
| 478 |
+
"learning_rate": 0.0002,
|
| 479 |
+
"loss": 1.6077,
|
| 480 |
+
"step": 650
|
| 481 |
+
},
|
| 482 |
+
{
|
| 483 |
+
"epoch": 2.142857142857143,
|
| 484 |
+
"grad_norm": 0.30674979090690613,
|
| 485 |
+
"learning_rate": 0.0002,
|
| 486 |
+
"loss": 1.6685,
|
| 487 |
+
"step": 660
|
| 488 |
+
},
|
| 489 |
+
{
|
| 490 |
+
"epoch": 2.175324675324675,
|
| 491 |
+
"grad_norm": 0.34276270866394043,
|
| 492 |
+
"learning_rate": 0.0002,
|
| 493 |
+
"loss": 1.6063,
|
| 494 |
+
"step": 670
|
| 495 |
+
},
|
| 496 |
+
{
|
| 497 |
+
"epoch": 2.207792207792208,
|
| 498 |
+
"grad_norm": 0.30068185925483704,
|
| 499 |
+
"learning_rate": 0.0002,
|
| 500 |
+
"loss": 1.6985,
|
| 501 |
+
"step": 680
|
| 502 |
+
},
|
| 503 |
+
{
|
| 504 |
+
"epoch": 2.24025974025974,
|
| 505 |
+
"grad_norm": 0.3197493851184845,
|
| 506 |
+
"learning_rate": 0.0002,
|
| 507 |
+
"loss": 1.5869,
|
| 508 |
+
"step": 690
|
| 509 |
+
},
|
| 510 |
+
{
|
| 511 |
+
"epoch": 2.2727272727272725,
|
| 512 |
+
"grad_norm": 0.3080422878265381,
|
| 513 |
+
"learning_rate": 0.0002,
|
| 514 |
+
"loss": 1.5993,
|
| 515 |
+
"step": 700
|
| 516 |
+
},
|
| 517 |
+
{
|
| 518 |
+
"epoch": 2.3051948051948052,
|
| 519 |
+
"grad_norm": 0.32039162516593933,
|
| 520 |
+
"learning_rate": 0.0002,
|
| 521 |
+
"loss": 1.634,
|
| 522 |
+
"step": 710
|
| 523 |
+
},
|
| 524 |
+
{
|
| 525 |
+
"epoch": 2.3376623376623376,
|
| 526 |
+
"grad_norm": 0.32778531312942505,
|
| 527 |
+
"learning_rate": 0.0002,
|
| 528 |
+
"loss": 1.6303,
|
| 529 |
+
"step": 720
|
| 530 |
+
},
|
| 531 |
+
{
|
| 532 |
+
"epoch": 2.3701298701298703,
|
| 533 |
+
"grad_norm": 0.31763869524002075,
|
| 534 |
+
"learning_rate": 0.0002,
|
| 535 |
+
"loss": 1.6783,
|
| 536 |
+
"step": 730
|
| 537 |
+
},
|
| 538 |
+
{
|
| 539 |
+
"epoch": 2.4025974025974026,
|
| 540 |
+
"grad_norm": 0.3438641130924225,
|
| 541 |
+
"learning_rate": 0.0002,
|
| 542 |
+
"loss": 1.5866,
|
| 543 |
+
"step": 740
|
| 544 |
+
},
|
| 545 |
+
{
|
| 546 |
+
"epoch": 2.435064935064935,
|
| 547 |
+
"grad_norm": 0.30254635214805603,
|
| 548 |
+
"learning_rate": 0.0002,
|
| 549 |
+
"loss": 1.6238,
|
| 550 |
+
"step": 750
|
| 551 |
+
},
|
| 552 |
+
{
|
| 553 |
+
"epoch": 2.4675324675324677,
|
| 554 |
+
"grad_norm": 0.3287079930305481,
|
| 555 |
+
"learning_rate": 0.0002,
|
| 556 |
+
"loss": 1.6321,
|
| 557 |
+
"step": 760
|
| 558 |
+
},
|
| 559 |
+
{
|
| 560 |
+
"epoch": 2.5,
|
| 561 |
+
"grad_norm": 0.31394457817077637,
|
| 562 |
+
"learning_rate": 0.0002,
|
| 563 |
+
"loss": 1.6103,
|
| 564 |
+
"step": 770
|
| 565 |
+
},
|
| 566 |
+
{
|
| 567 |
+
"epoch": 2.5324675324675323,
|
| 568 |
+
"grad_norm": 0.34165051579475403,
|
| 569 |
+
"learning_rate": 0.0002,
|
| 570 |
+
"loss": 1.6384,
|
| 571 |
+
"step": 780
|
| 572 |
+
},
|
| 573 |
+
{
|
| 574 |
+
"epoch": 2.564935064935065,
|
| 575 |
+
"grad_norm": 0.3315567970275879,
|
| 576 |
+
"learning_rate": 0.0002,
|
| 577 |
+
"loss": 1.6555,
|
| 578 |
+
"step": 790
|
| 579 |
+
},
|
| 580 |
+
{
|
| 581 |
+
"epoch": 2.5974025974025974,
|
| 582 |
+
"grad_norm": 0.3183658719062805,
|
| 583 |
+
"learning_rate": 0.0002,
|
| 584 |
+
"loss": 1.6041,
|
| 585 |
+
"step": 800
|
| 586 |
+
},
|
| 587 |
+
{
|
| 588 |
+
"epoch": 2.62987012987013,
|
| 589 |
+
"grad_norm": 0.29442286491394043,
|
| 590 |
+
"learning_rate": 0.0002,
|
| 591 |
+
"loss": 1.6149,
|
| 592 |
+
"step": 810
|
| 593 |
+
},
|
| 594 |
+
{
|
| 595 |
+
"epoch": 2.6623376623376624,
|
| 596 |
+
"grad_norm": 0.3735957741737366,
|
| 597 |
+
"learning_rate": 0.0002,
|
| 598 |
+
"loss": 1.5689,
|
| 599 |
+
"step": 820
|
| 600 |
+
},
|
| 601 |
+
{
|
| 602 |
+
"epoch": 2.6948051948051948,
|
| 603 |
+
"grad_norm": 0.34174075722694397,
|
| 604 |
+
"learning_rate": 0.0002,
|
| 605 |
+
"loss": 1.6763,
|
| 606 |
+
"step": 830
|
| 607 |
+
},
|
| 608 |
+
{
|
| 609 |
+
"epoch": 2.7272727272727275,
|
| 610 |
+
"grad_norm": 0.3265220820903778,
|
| 611 |
+
"learning_rate": 0.0002,
|
| 612 |
+
"loss": 1.6333,
|
| 613 |
+
"step": 840
|
| 614 |
+
},
|
| 615 |
+
{
|
| 616 |
+
"epoch": 2.75974025974026,
|
| 617 |
+
"grad_norm": 0.3356368839740753,
|
| 618 |
+
"learning_rate": 0.0002,
|
| 619 |
+
"loss": 1.5971,
|
| 620 |
+
"step": 850
|
| 621 |
+
},
|
| 622 |
+
{
|
| 623 |
+
"epoch": 2.792207792207792,
|
| 624 |
+
"grad_norm": 0.33430132269859314,
|
| 625 |
+
"learning_rate": 0.0002,
|
| 626 |
+
"loss": 1.6042,
|
| 627 |
+
"step": 860
|
| 628 |
+
},
|
| 629 |
+
{
|
| 630 |
+
"epoch": 2.824675324675325,
|
| 631 |
+
"grad_norm": 0.28999271988868713,
|
| 632 |
+
"learning_rate": 0.0002,
|
| 633 |
+
"loss": 1.5982,
|
| 634 |
+
"step": 870
|
| 635 |
+
},
|
| 636 |
+
{
|
| 637 |
+
"epoch": 2.857142857142857,
|
| 638 |
+
"grad_norm": 0.3253968358039856,
|
| 639 |
+
"learning_rate": 0.0002,
|
| 640 |
+
"loss": 1.6189,
|
| 641 |
+
"step": 880
|
| 642 |
+
},
|
| 643 |
+
{
|
| 644 |
+
"epoch": 2.8896103896103895,
|
| 645 |
+
"grad_norm": 0.291964054107666,
|
| 646 |
+
"learning_rate": 0.0002,
|
| 647 |
+
"loss": 1.6011,
|
| 648 |
+
"step": 890
|
| 649 |
+
},
|
| 650 |
+
{
|
| 651 |
+
"epoch": 2.9220779220779223,
|
| 652 |
+
"grad_norm": 0.32170912623405457,
|
| 653 |
+
"learning_rate": 0.0002,
|
| 654 |
+
"loss": 1.6854,
|
| 655 |
+
"step": 900
|
| 656 |
+
},
|
| 657 |
+
{
|
| 658 |
+
"epoch": 2.9545454545454546,
|
| 659 |
+
"grad_norm": 0.2738993465900421,
|
| 660 |
+
"learning_rate": 0.0002,
|
| 661 |
+
"loss": 1.7219,
|
| 662 |
+
"step": 910
|
| 663 |
+
},
|
| 664 |
+
{
|
| 665 |
+
"epoch": 2.987012987012987,
|
| 666 |
+
"grad_norm": 0.29856377840042114,
|
| 667 |
+
"learning_rate": 0.0002,
|
| 668 |
+
"loss": 1.667,
|
| 669 |
+
"step": 920
|
| 670 |
+
},
|
| 671 |
+
{
|
| 672 |
+
"epoch": 3.0,
|
| 673 |
+
"eval_loss": 1.7705217599868774,
|
| 674 |
+
"eval_runtime": 115.3403,
|
| 675 |
+
"eval_samples_per_second": 4.612,
|
| 676 |
+
"eval_steps_per_second": 0.581,
|
| 677 |
+
"step": 924
|
| 678 |
+
},
|
| 679 |
+
{
|
| 680 |
+
"epoch": 3.0194805194805197,
|
| 681 |
+
"grad_norm": 0.3272620439529419,
|
| 682 |
+
"learning_rate": 0.0002,
|
| 683 |
+
"loss": 1.5876,
|
| 684 |
+
"step": 930
|
| 685 |
+
},
|
| 686 |
+
{
|
| 687 |
+
"epoch": 3.051948051948052,
|
| 688 |
+
"grad_norm": 0.3484354019165039,
|
| 689 |
+
"learning_rate": 0.0002,
|
| 690 |
+
"loss": 1.6262,
|
| 691 |
+
"step": 940
|
| 692 |
+
},
|
| 693 |
+
{
|
| 694 |
+
"epoch": 3.0844155844155843,
|
| 695 |
+
"grad_norm": 0.35202738642692566,
|
| 696 |
+
"learning_rate": 0.0002,
|
| 697 |
+
"loss": 1.5092,
|
| 698 |
+
"step": 950
|
| 699 |
+
},
|
| 700 |
+
{
|
| 701 |
+
"epoch": 3.116883116883117,
|
| 702 |
+
"grad_norm": 0.3635590076446533,
|
| 703 |
+
"learning_rate": 0.0002,
|
| 704 |
+
"loss": 1.5524,
|
| 705 |
+
"step": 960
|
| 706 |
+
},
|
| 707 |
+
{
|
| 708 |
+
"epoch": 3.1493506493506493,
|
| 709 |
+
"grad_norm": 0.39253556728363037,
|
| 710 |
+
"learning_rate": 0.0002,
|
| 711 |
+
"loss": 1.5169,
|
| 712 |
+
"step": 970
|
| 713 |
+
},
|
| 714 |
+
{
|
| 715 |
+
"epoch": 3.1818181818181817,
|
| 716 |
+
"grad_norm": 0.4007384777069092,
|
| 717 |
+
"learning_rate": 0.0002,
|
| 718 |
+
"loss": 1.5001,
|
| 719 |
+
"step": 980
|
| 720 |
+
},
|
| 721 |
+
{
|
| 722 |
+
"epoch": 3.2142857142857144,
|
| 723 |
+
"grad_norm": 0.38897788524627686,
|
| 724 |
+
"learning_rate": 0.0002,
|
| 725 |
+
"loss": 1.5639,
|
| 726 |
+
"step": 990
|
| 727 |
+
},
|
| 728 |
+
{
|
| 729 |
+
"epoch": 3.2467532467532467,
|
| 730 |
+
"grad_norm": 0.38462474942207336,
|
| 731 |
+
"learning_rate": 0.0002,
|
| 732 |
+
"loss": 1.5791,
|
| 733 |
+
"step": 1000
|
| 734 |
+
},
|
| 735 |
+
{
|
| 736 |
+
"epoch": 3.279220779220779,
|
| 737 |
+
"grad_norm": 0.38225963711738586,
|
| 738 |
+
"learning_rate": 0.0002,
|
| 739 |
+
"loss": 1.4918,
|
| 740 |
+
"step": 1010
|
| 741 |
+
},
|
| 742 |
+
{
|
| 743 |
+
"epoch": 3.311688311688312,
|
| 744 |
+
"grad_norm": 0.4058142602443695,
|
| 745 |
+
"learning_rate": 0.0002,
|
| 746 |
+
"loss": 1.5094,
|
| 747 |
+
"step": 1020
|
| 748 |
+
},
|
| 749 |
+
{
|
| 750 |
+
"epoch": 3.344155844155844,
|
| 751 |
+
"grad_norm": 0.39580652117729187,
|
| 752 |
+
"learning_rate": 0.0002,
|
| 753 |
+
"loss": 1.5905,
|
| 754 |
+
"step": 1030
|
| 755 |
+
},
|
| 756 |
+
{
|
| 757 |
+
"epoch": 3.3766233766233764,
|
| 758 |
+
"grad_norm": 0.42998549342155457,
|
| 759 |
+
"learning_rate": 0.0002,
|
| 760 |
+
"loss": 1.5894,
|
| 761 |
+
"step": 1040
|
| 762 |
+
},
|
| 763 |
+
{
|
| 764 |
+
"epoch": 3.409090909090909,
|
| 765 |
+
"grad_norm": 0.3940870761871338,
|
| 766 |
+
"learning_rate": 0.0002,
|
| 767 |
+
"loss": 1.548,
|
| 768 |
+
"step": 1050
|
| 769 |
+
},
|
| 770 |
+
{
|
| 771 |
+
"epoch": 3.4415584415584415,
|
| 772 |
+
"grad_norm": 0.4069645404815674,
|
| 773 |
+
"learning_rate": 0.0002,
|
| 774 |
+
"loss": 1.6527,
|
| 775 |
+
"step": 1060
|
| 776 |
+
},
|
| 777 |
+
{
|
| 778 |
+
"epoch": 3.474025974025974,
|
| 779 |
+
"grad_norm": 0.386883407831192,
|
| 780 |
+
"learning_rate": 0.0002,
|
| 781 |
+
"loss": 1.6035,
|
| 782 |
+
"step": 1070
|
| 783 |
+
},
|
| 784 |
+
{
|
| 785 |
+
"epoch": 3.5064935064935066,
|
| 786 |
+
"grad_norm": 0.4978795051574707,
|
| 787 |
+
"learning_rate": 0.0002,
|
| 788 |
+
"loss": 1.5991,
|
| 789 |
+
"step": 1080
|
| 790 |
+
},
|
| 791 |
+
{
|
| 792 |
+
"epoch": 3.538961038961039,
|
| 793 |
+
"grad_norm": 0.4167064130306244,
|
| 794 |
+
"learning_rate": 0.0002,
|
| 795 |
+
"loss": 1.555,
|
| 796 |
+
"step": 1090
|
| 797 |
+
},
|
| 798 |
+
{
|
| 799 |
+
"epoch": 3.571428571428571,
|
| 800 |
+
"grad_norm": 0.38199925422668457,
|
| 801 |
+
"learning_rate": 0.0002,
|
| 802 |
+
"loss": 1.5393,
|
| 803 |
+
"step": 1100
|
| 804 |
+
},
|
| 805 |
+
{
|
| 806 |
+
"epoch": 3.603896103896104,
|
| 807 |
+
"grad_norm": 0.4170112609863281,
|
| 808 |
+
"learning_rate": 0.0002,
|
| 809 |
+
"loss": 1.5206,
|
| 810 |
+
"step": 1110
|
| 811 |
+
},
|
| 812 |
+
{
|
| 813 |
+
"epoch": 3.6363636363636362,
|
| 814 |
+
"grad_norm": 0.4023001194000244,
|
| 815 |
+
"learning_rate": 0.0002,
|
| 816 |
+
"loss": 1.5336,
|
| 817 |
+
"step": 1120
|
| 818 |
+
},
|
| 819 |
+
{
|
| 820 |
+
"epoch": 3.6688311688311686,
|
| 821 |
+
"grad_norm": 0.44960418343544006,
|
| 822 |
+
"learning_rate": 0.0002,
|
| 823 |
+
"loss": 1.5324,
|
| 824 |
+
"step": 1130
|
| 825 |
+
},
|
| 826 |
+
{
|
| 827 |
+
"epoch": 3.7012987012987013,
|
| 828 |
+
"grad_norm": 0.4334756135940552,
|
| 829 |
+
"learning_rate": 0.0002,
|
| 830 |
+
"loss": 1.5784,
|
| 831 |
+
"step": 1140
|
| 832 |
+
},
|
| 833 |
+
{
|
| 834 |
+
"epoch": 3.7337662337662336,
|
| 835 |
+
"grad_norm": 0.38534295558929443,
|
| 836 |
+
"learning_rate": 0.0002,
|
| 837 |
+
"loss": 1.5018,
|
| 838 |
+
"step": 1150
|
| 839 |
+
},
|
| 840 |
+
{
|
| 841 |
+
"epoch": 3.7662337662337664,
|
| 842 |
+
"grad_norm": 0.40537452697753906,
|
| 843 |
+
"learning_rate": 0.0002,
|
| 844 |
+
"loss": 1.6091,
|
| 845 |
+
"step": 1160
|
| 846 |
+
},
|
| 847 |
+
{
|
| 848 |
+
"epoch": 3.7987012987012987,
|
| 849 |
+
"grad_norm": 0.4050034284591675,
|
| 850 |
+
"learning_rate": 0.0002,
|
| 851 |
+
"loss": 1.5303,
|
| 852 |
+
"step": 1170
|
| 853 |
+
},
|
| 854 |
+
{
|
| 855 |
+
"epoch": 3.8311688311688314,
|
| 856 |
+
"grad_norm": 0.3953498303890228,
|
| 857 |
+
"learning_rate": 0.0002,
|
| 858 |
+
"loss": 1.5082,
|
| 859 |
+
"step": 1180
|
| 860 |
+
},
|
| 861 |
+
{
|
| 862 |
+
"epoch": 3.8636363636363638,
|
| 863 |
+
"grad_norm": 0.4208937883377075,
|
| 864 |
+
"learning_rate": 0.0002,
|
| 865 |
+
"loss": 1.5402,
|
| 866 |
+
"step": 1190
|
| 867 |
+
},
|
| 868 |
+
{
|
| 869 |
+
"epoch": 3.896103896103896,
|
| 870 |
+
"grad_norm": 0.4181132912635803,
|
| 871 |
+
"learning_rate": 0.0002,
|
| 872 |
+
"loss": 1.5657,
|
| 873 |
+
"step": 1200
|
| 874 |
+
},
|
| 875 |
+
{
|
| 876 |
+
"epoch": 3.928571428571429,
|
| 877 |
+
"grad_norm": 0.4108502268791199,
|
| 878 |
+
"learning_rate": 0.0002,
|
| 879 |
+
"loss": 1.6202,
|
| 880 |
+
"step": 1210
|
| 881 |
+
},
|
| 882 |
+
{
|
| 883 |
+
"epoch": 3.961038961038961,
|
| 884 |
+
"grad_norm": 0.3819066882133484,
|
| 885 |
+
"learning_rate": 0.0002,
|
| 886 |
+
"loss": 1.5157,
|
| 887 |
+
"step": 1220
|
| 888 |
+
},
|
| 889 |
+
{
|
| 890 |
+
"epoch": 3.9935064935064934,
|
| 891 |
+
"grad_norm": 0.3682127892971039,
|
| 892 |
+
"learning_rate": 0.0002,
|
| 893 |
+
"loss": 1.4595,
|
| 894 |
+
"step": 1230
|
| 895 |
+
},
|
| 896 |
+
{
|
| 897 |
+
"epoch": 4.0,
|
| 898 |
+
"eval_loss": 1.7993888854980469,
|
| 899 |
+
"eval_runtime": 115.4041,
|
| 900 |
+
"eval_samples_per_second": 4.61,
|
| 901 |
+
"eval_steps_per_second": 0.581,
|
| 902 |
+
"step": 1232
|
| 903 |
+
},
|
| 904 |
+
{
|
| 905 |
+
"epoch": 4.025974025974026,
|
| 906 |
+
"grad_norm": 0.446053683757782,
|
| 907 |
+
"learning_rate": 0.0002,
|
| 908 |
+
"loss": 1.4387,
|
| 909 |
+
"step": 1240
|
| 910 |
+
},
|
| 911 |
+
{
|
| 912 |
+
"epoch": 4.058441558441558,
|
| 913 |
+
"grad_norm": 0.45109686255455017,
|
| 914 |
+
"learning_rate": 0.0002,
|
| 915 |
+
"loss": 1.4896,
|
| 916 |
+
"step": 1250
|
| 917 |
+
},
|
| 918 |
+
{
|
| 919 |
+
"epoch": 4.090909090909091,
|
| 920 |
+
"grad_norm": 0.48673322796821594,
|
| 921 |
+
"learning_rate": 0.0002,
|
| 922 |
+
"loss": 1.4838,
|
| 923 |
+
"step": 1260
|
| 924 |
+
},
|
| 925 |
+
{
|
| 926 |
+
"epoch": 4.123376623376624,
|
| 927 |
+
"grad_norm": 0.46708911657333374,
|
| 928 |
+
"learning_rate": 0.0002,
|
| 929 |
+
"loss": 1.4905,
|
| 930 |
+
"step": 1270
|
| 931 |
+
},
|
| 932 |
+
{
|
| 933 |
+
"epoch": 4.1558441558441555,
|
| 934 |
+
"grad_norm": 0.5715873837471008,
|
| 935 |
+
"learning_rate": 0.0002,
|
| 936 |
+
"loss": 1.4315,
|
| 937 |
+
"step": 1280
|
| 938 |
+
},
|
| 939 |
+
{
|
| 940 |
+
"epoch": 4.188311688311688,
|
| 941 |
+
"grad_norm": 0.5619666576385498,
|
| 942 |
+
"learning_rate": 0.0002,
|
| 943 |
+
"loss": 1.4223,
|
| 944 |
+
"step": 1290
|
| 945 |
+
},
|
| 946 |
+
{
|
| 947 |
+
"epoch": 4.220779220779221,
|
| 948 |
+
"grad_norm": 0.5654240250587463,
|
| 949 |
+
"learning_rate": 0.0002,
|
| 950 |
+
"loss": 1.4439,
|
| 951 |
+
"step": 1300
|
| 952 |
+
},
|
| 953 |
+
{
|
| 954 |
+
"epoch": 4.253246753246753,
|
| 955 |
+
"grad_norm": 0.597672700881958,
|
| 956 |
+
"learning_rate": 0.0002,
|
| 957 |
+
"loss": 1.4349,
|
| 958 |
+
"step": 1310
|
| 959 |
+
},
|
| 960 |
+
{
|
| 961 |
+
"epoch": 4.285714285714286,
|
| 962 |
+
"grad_norm": 0.5012733936309814,
|
| 963 |
+
"learning_rate": 0.0002,
|
| 964 |
+
"loss": 1.4762,
|
| 965 |
+
"step": 1320
|
| 966 |
+
},
|
| 967 |
+
{
|
| 968 |
+
"epoch": 4.318181818181818,
|
| 969 |
+
"grad_norm": 0.5443211793899536,
|
| 970 |
+
"learning_rate": 0.0002,
|
| 971 |
+
"loss": 1.431,
|
| 972 |
+
"step": 1330
|
| 973 |
+
},
|
| 974 |
+
{
|
| 975 |
+
"epoch": 4.35064935064935,
|
| 976 |
+
"grad_norm": 0.5234072208404541,
|
| 977 |
+
"learning_rate": 0.0002,
|
| 978 |
+
"loss": 1.513,
|
| 979 |
+
"step": 1340
|
| 980 |
+
},
|
| 981 |
+
{
|
| 982 |
+
"epoch": 4.383116883116883,
|
| 983 |
+
"grad_norm": 0.5355457067489624,
|
| 984 |
+
"learning_rate": 0.0002,
|
| 985 |
+
"loss": 1.4977,
|
| 986 |
+
"step": 1350
|
| 987 |
+
},
|
| 988 |
+
{
|
| 989 |
+
"epoch": 4.415584415584416,
|
| 990 |
+
"grad_norm": 0.5286158919334412,
|
| 991 |
+
"learning_rate": 0.0002,
|
| 992 |
+
"loss": 1.4997,
|
| 993 |
+
"step": 1360
|
| 994 |
+
},
|
| 995 |
+
{
|
| 996 |
+
"epoch": 4.448051948051948,
|
| 997 |
+
"grad_norm": 0.5439335107803345,
|
| 998 |
+
"learning_rate": 0.0002,
|
| 999 |
+
"loss": 1.4659,
|
| 1000 |
+
"step": 1370
|
| 1001 |
+
},
|
| 1002 |
+
{
|
| 1003 |
+
"epoch": 4.48051948051948,
|
| 1004 |
+
"grad_norm": 0.48760029673576355,
|
| 1005 |
+
"learning_rate": 0.0002,
|
| 1006 |
+
"loss": 1.432,
|
| 1007 |
+
"step": 1380
|
| 1008 |
+
},
|
| 1009 |
+
{
|
| 1010 |
+
"epoch": 4.512987012987013,
|
| 1011 |
+
"grad_norm": 0.5220261216163635,
|
| 1012 |
+
"learning_rate": 0.0002,
|
| 1013 |
+
"loss": 1.482,
|
| 1014 |
+
"step": 1390
|
| 1015 |
+
},
|
| 1016 |
+
{
|
| 1017 |
+
"epoch": 4.545454545454545,
|
| 1018 |
+
"grad_norm": 0.5583887100219727,
|
| 1019 |
+
"learning_rate": 0.0002,
|
| 1020 |
+
"loss": 1.4622,
|
| 1021 |
+
"step": 1400
|
| 1022 |
+
},
|
| 1023 |
+
{
|
| 1024 |
+
"epoch": 4.577922077922078,
|
| 1025 |
+
"grad_norm": 0.5749692320823669,
|
| 1026 |
+
"learning_rate": 0.0002,
|
| 1027 |
+
"loss": 1.4822,
|
| 1028 |
+
"step": 1410
|
| 1029 |
+
},
|
| 1030 |
+
{
|
| 1031 |
+
"epoch": 4.6103896103896105,
|
| 1032 |
+
"grad_norm": 0.5173711180686951,
|
| 1033 |
+
"learning_rate": 0.0002,
|
| 1034 |
+
"loss": 1.4512,
|
| 1035 |
+
"step": 1420
|
| 1036 |
+
},
|
| 1037 |
+
{
|
| 1038 |
+
"epoch": 4.642857142857143,
|
| 1039 |
+
"grad_norm": 0.47573772072792053,
|
| 1040 |
+
"learning_rate": 0.0002,
|
| 1041 |
+
"loss": 1.4657,
|
| 1042 |
+
"step": 1430
|
| 1043 |
+
},
|
| 1044 |
+
{
|
| 1045 |
+
"epoch": 4.675324675324675,
|
| 1046 |
+
"grad_norm": 0.5032379031181335,
|
| 1047 |
+
"learning_rate": 0.0002,
|
| 1048 |
+
"loss": 1.3951,
|
| 1049 |
+
"step": 1440
|
| 1050 |
+
},
|
| 1051 |
+
{
|
| 1052 |
+
"epoch": 4.707792207792208,
|
| 1053 |
+
"grad_norm": 0.5489498972892761,
|
| 1054 |
+
"learning_rate": 0.0002,
|
| 1055 |
+
"loss": 1.3851,
|
| 1056 |
+
"step": 1450
|
| 1057 |
+
},
|
| 1058 |
+
{
|
| 1059 |
+
"epoch": 4.740259740259741,
|
| 1060 |
+
"grad_norm": 0.45405253767967224,
|
| 1061 |
+
"learning_rate": 0.0002,
|
| 1062 |
+
"loss": 1.4318,
|
| 1063 |
+
"step": 1460
|
| 1064 |
+
},
|
| 1065 |
+
{
|
| 1066 |
+
"epoch": 4.7727272727272725,
|
| 1067 |
+
"grad_norm": 0.5374584197998047,
|
| 1068 |
+
"learning_rate": 0.0002,
|
| 1069 |
+
"loss": 1.4504,
|
| 1070 |
+
"step": 1470
|
| 1071 |
+
},
|
| 1072 |
+
{
|
| 1073 |
+
"epoch": 4.805194805194805,
|
| 1074 |
+
"grad_norm": 0.5726877450942993,
|
| 1075 |
+
"learning_rate": 0.0002,
|
| 1076 |
+
"loss": 1.4764,
|
| 1077 |
+
"step": 1480
|
| 1078 |
+
},
|
| 1079 |
+
{
|
| 1080 |
+
"epoch": 4.837662337662338,
|
| 1081 |
+
"grad_norm": 0.5010805130004883,
|
| 1082 |
+
"learning_rate": 0.0002,
|
| 1083 |
+
"loss": 1.4387,
|
| 1084 |
+
"step": 1490
|
| 1085 |
+
},
|
| 1086 |
+
{
|
| 1087 |
+
"epoch": 4.87012987012987,
|
| 1088 |
+
"grad_norm": 0.5171884298324585,
|
| 1089 |
+
"learning_rate": 0.0002,
|
| 1090 |
+
"loss": 1.427,
|
| 1091 |
+
"step": 1500
|
| 1092 |
+
},
|
| 1093 |
+
{
|
| 1094 |
+
"epoch": 4.902597402597403,
|
| 1095 |
+
"grad_norm": 0.5789468884468079,
|
| 1096 |
+
"learning_rate": 0.0002,
|
| 1097 |
+
"loss": 1.4507,
|
| 1098 |
+
"step": 1510
|
| 1099 |
+
},
|
| 1100 |
+
{
|
| 1101 |
+
"epoch": 4.935064935064935,
|
| 1102 |
+
"grad_norm": 0.4989932179450989,
|
| 1103 |
+
"learning_rate": 0.0002,
|
| 1104 |
+
"loss": 1.4341,
|
| 1105 |
+
"step": 1520
|
| 1106 |
+
},
|
| 1107 |
+
{
|
| 1108 |
+
"epoch": 4.967532467532467,
|
| 1109 |
+
"grad_norm": 0.5641090869903564,
|
| 1110 |
+
"learning_rate": 0.0002,
|
| 1111 |
+
"loss": 1.5556,
|
| 1112 |
+
"step": 1530
|
| 1113 |
+
},
|
| 1114 |
+
{
|
| 1115 |
+
"epoch": 5.0,
|
| 1116 |
+
"grad_norm": 0.5337041020393372,
|
| 1117 |
+
"learning_rate": 0.0002,
|
| 1118 |
+
"loss": 1.4618,
|
| 1119 |
+
"step": 1540
|
| 1120 |
+
},
|
| 1121 |
+
{
|
| 1122 |
+
"epoch": 5.0,
|
| 1123 |
+
"eval_loss": 1.8461486101150513,
|
| 1124 |
+
"eval_runtime": 115.277,
|
| 1125 |
+
"eval_samples_per_second": 4.615,
|
| 1126 |
+
"eval_steps_per_second": 0.581,
|
| 1127 |
+
"step": 1540
|
| 1128 |
+
},
|
| 1129 |
+
{
|
| 1130 |
+
"epoch": 5.032467532467533,
|
| 1131 |
+
"grad_norm": 0.9605194926261902,
|
| 1132 |
+
"learning_rate": 0.0002,
|
| 1133 |
+
"loss": 1.3205,
|
| 1134 |
+
"step": 1550
|
| 1135 |
+
},
|
| 1136 |
+
{
|
| 1137 |
+
"epoch": 5.064935064935065,
|
| 1138 |
+
"grad_norm": 0.6274206042289734,
|
| 1139 |
+
"learning_rate": 0.0002,
|
| 1140 |
+
"loss": 1.3339,
|
| 1141 |
+
"step": 1560
|
| 1142 |
+
},
|
| 1143 |
+
{
|
| 1144 |
+
"epoch": 5.097402597402597,
|
| 1145 |
+
"grad_norm": 0.6573551297187805,
|
| 1146 |
+
"learning_rate": 0.0002,
|
| 1147 |
+
"loss": 1.2737,
|
| 1148 |
+
"step": 1570
|
| 1149 |
+
},
|
| 1150 |
+
{
|
| 1151 |
+
"epoch": 5.12987012987013,
|
| 1152 |
+
"grad_norm": 0.7081370949745178,
|
| 1153 |
+
"learning_rate": 0.0002,
|
| 1154 |
+
"loss": 1.4036,
|
| 1155 |
+
"step": 1580
|
| 1156 |
+
},
|
| 1157 |
+
{
|
| 1158 |
+
"epoch": 5.162337662337662,
|
| 1159 |
+
"grad_norm": 0.7647580504417419,
|
| 1160 |
+
"learning_rate": 0.0002,
|
| 1161 |
+
"loss": 1.3609,
|
| 1162 |
+
"step": 1590
|
| 1163 |
+
},
|
| 1164 |
+
{
|
| 1165 |
+
"epoch": 5.194805194805195,
|
| 1166 |
+
"grad_norm": 0.6994581818580627,
|
| 1167 |
+
"learning_rate": 0.0002,
|
| 1168 |
+
"loss": 1.3455,
|
| 1169 |
+
"step": 1600
|
| 1170 |
+
},
|
| 1171 |
+
{
|
| 1172 |
+
"epoch": 5.2272727272727275,
|
| 1173 |
+
"grad_norm": 0.7378994226455688,
|
| 1174 |
+
"learning_rate": 0.0002,
|
| 1175 |
+
"loss": 1.2874,
|
| 1176 |
+
"step": 1610
|
| 1177 |
+
},
|
| 1178 |
+
{
|
| 1179 |
+
"epoch": 5.259740259740259,
|
| 1180 |
+
"grad_norm": 0.714074432849884,
|
| 1181 |
+
"learning_rate": 0.0002,
|
| 1182 |
+
"loss": 1.2868,
|
| 1183 |
+
"step": 1620
|
| 1184 |
+
},
|
| 1185 |
+
{
|
| 1186 |
+
"epoch": 5.292207792207792,
|
| 1187 |
+
"grad_norm": 0.7327056527137756,
|
| 1188 |
+
"learning_rate": 0.0002,
|
| 1189 |
+
"loss": 1.3336,
|
| 1190 |
+
"step": 1630
|
| 1191 |
+
},
|
| 1192 |
+
{
|
| 1193 |
+
"epoch": 5.324675324675325,
|
| 1194 |
+
"grad_norm": 0.7495806813240051,
|
| 1195 |
+
"learning_rate": 0.0002,
|
| 1196 |
+
"loss": 1.2988,
|
| 1197 |
+
"step": 1640
|
| 1198 |
+
},
|
| 1199 |
+
{
|
| 1200 |
+
"epoch": 5.357142857142857,
|
| 1201 |
+
"grad_norm": 0.6599726676940918,
|
| 1202 |
+
"learning_rate": 0.0002,
|
| 1203 |
+
"loss": 1.3469,
|
| 1204 |
+
"step": 1650
|
| 1205 |
+
},
|
| 1206 |
+
{
|
| 1207 |
+
"epoch": 5.3896103896103895,
|
| 1208 |
+
"grad_norm": 0.7198082804679871,
|
| 1209 |
+
"learning_rate": 0.0002,
|
| 1210 |
+
"loss": 1.3071,
|
| 1211 |
+
"step": 1660
|
| 1212 |
+
},
|
| 1213 |
+
{
|
| 1214 |
+
"epoch": 5.422077922077922,
|
| 1215 |
+
"grad_norm": 0.626568615436554,
|
| 1216 |
+
"learning_rate": 0.0002,
|
| 1217 |
+
"loss": 1.322,
|
| 1218 |
+
"step": 1670
|
| 1219 |
+
},
|
| 1220 |
+
{
|
| 1221 |
+
"epoch": 5.454545454545454,
|
| 1222 |
+
"grad_norm": 0.9457268714904785,
|
| 1223 |
+
"learning_rate": 0.0002,
|
| 1224 |
+
"loss": 1.3557,
|
| 1225 |
+
"step": 1680
|
| 1226 |
+
},
|
| 1227 |
+
{
|
| 1228 |
+
"epoch": 5.487012987012987,
|
| 1229 |
+
"grad_norm": 0.6491796374320984,
|
| 1230 |
+
"learning_rate": 0.0002,
|
| 1231 |
+
"loss": 1.3625,
|
| 1232 |
+
"step": 1690
|
| 1233 |
+
},
|
| 1234 |
+
{
|
| 1235 |
+
"epoch": 5.51948051948052,
|
| 1236 |
+
"grad_norm": 0.6802761554718018,
|
| 1237 |
+
"learning_rate": 0.0002,
|
| 1238 |
+
"loss": 1.3357,
|
| 1239 |
+
"step": 1700
|
| 1240 |
+
},
|
| 1241 |
+
{
|
| 1242 |
+
"epoch": 5.551948051948052,
|
| 1243 |
+
"grad_norm": 0.8260579705238342,
|
| 1244 |
+
"learning_rate": 0.0002,
|
| 1245 |
+
"loss": 1.4207,
|
| 1246 |
+
"step": 1710
|
| 1247 |
+
},
|
| 1248 |
+
{
|
| 1249 |
+
"epoch": 5.584415584415584,
|
| 1250 |
+
"grad_norm": 0.6188812851905823,
|
| 1251 |
+
"learning_rate": 0.0002,
|
| 1252 |
+
"loss": 1.3702,
|
| 1253 |
+
"step": 1720
|
| 1254 |
+
},
|
| 1255 |
+
{
|
| 1256 |
+
"epoch": 5.616883116883117,
|
| 1257 |
+
"grad_norm": 0.7274051308631897,
|
| 1258 |
+
"learning_rate": 0.0002,
|
| 1259 |
+
"loss": 1.3587,
|
| 1260 |
+
"step": 1730
|
| 1261 |
+
},
|
| 1262 |
+
{
|
| 1263 |
+
"epoch": 5.64935064935065,
|
| 1264 |
+
"grad_norm": 0.635021984577179,
|
| 1265 |
+
"learning_rate": 0.0002,
|
| 1266 |
+
"loss": 1.3843,
|
| 1267 |
+
"step": 1740
|
| 1268 |
+
},
|
| 1269 |
+
{
|
| 1270 |
+
"epoch": 5.681818181818182,
|
| 1271 |
+
"grad_norm": 0.7513797283172607,
|
| 1272 |
+
"learning_rate": 0.0002,
|
| 1273 |
+
"loss": 1.366,
|
| 1274 |
+
"step": 1750
|
| 1275 |
+
},
|
| 1276 |
+
{
|
| 1277 |
+
"epoch": 5.714285714285714,
|
| 1278 |
+
"grad_norm": 0.6351640820503235,
|
| 1279 |
+
"learning_rate": 0.0002,
|
| 1280 |
+
"loss": 1.2785,
|
| 1281 |
+
"step": 1760
|
| 1282 |
+
},
|
| 1283 |
+
{
|
| 1284 |
+
"epoch": 5.746753246753247,
|
| 1285 |
+
"grad_norm": 0.776997447013855,
|
| 1286 |
+
"learning_rate": 0.0002,
|
| 1287 |
+
"loss": 1.4055,
|
| 1288 |
+
"step": 1770
|
| 1289 |
+
},
|
| 1290 |
+
{
|
| 1291 |
+
"epoch": 5.779220779220779,
|
| 1292 |
+
"grad_norm": 0.6774960160255432,
|
| 1293 |
+
"learning_rate": 0.0002,
|
| 1294 |
+
"loss": 1.4416,
|
| 1295 |
+
"step": 1780
|
| 1296 |
+
},
|
| 1297 |
+
{
|
| 1298 |
+
"epoch": 5.811688311688312,
|
| 1299 |
+
"grad_norm": 0.7220422625541687,
|
| 1300 |
+
"learning_rate": 0.0002,
|
| 1301 |
+
"loss": 1.3096,
|
| 1302 |
+
"step": 1790
|
| 1303 |
+
},
|
| 1304 |
+
{
|
| 1305 |
+
"epoch": 5.8441558441558445,
|
| 1306 |
+
"grad_norm": 0.6656085848808289,
|
| 1307 |
+
"learning_rate": 0.0002,
|
| 1308 |
+
"loss": 1.3325,
|
| 1309 |
+
"step": 1800
|
| 1310 |
+
},
|
| 1311 |
+
{
|
| 1312 |
+
"epoch": 5.876623376623376,
|
| 1313 |
+
"grad_norm": 0.6828312277793884,
|
| 1314 |
+
"learning_rate": 0.0002,
|
| 1315 |
+
"loss": 1.3594,
|
| 1316 |
+
"step": 1810
|
| 1317 |
+
},
|
| 1318 |
+
{
|
| 1319 |
+
"epoch": 5.909090909090909,
|
| 1320 |
+
"grad_norm": 0.649799108505249,
|
| 1321 |
+
"learning_rate": 0.0002,
|
| 1322 |
+
"loss": 1.4054,
|
| 1323 |
+
"step": 1820
|
| 1324 |
+
},
|
| 1325 |
+
{
|
| 1326 |
+
"epoch": 5.941558441558442,
|
| 1327 |
+
"grad_norm": 0.6278491020202637,
|
| 1328 |
+
"learning_rate": 0.0002,
|
| 1329 |
+
"loss": 1.4273,
|
| 1330 |
+
"step": 1830
|
| 1331 |
+
},
|
| 1332 |
+
{
|
| 1333 |
+
"epoch": 5.974025974025974,
|
| 1334 |
+
"grad_norm": 0.6418891549110413,
|
| 1335 |
+
"learning_rate": 0.0002,
|
| 1336 |
+
"loss": 1.4321,
|
| 1337 |
+
"step": 1840
|
| 1338 |
+
},
|
| 1339 |
+
{
|
| 1340 |
+
"epoch": 6.0,
|
| 1341 |
+
"eval_loss": 1.9093387126922607,
|
| 1342 |
+
"eval_runtime": 119.2556,
|
| 1343 |
+
"eval_samples_per_second": 4.461,
|
| 1344 |
+
"eval_steps_per_second": 0.562,
|
| 1345 |
+
"step": 1848
|
| 1346 |
+
}
|
| 1347 |
+
],
|
| 1348 |
+
"logging_steps": 10,
|
| 1349 |
+
"max_steps": 2464,
|
| 1350 |
+
"num_input_tokens_seen": 0,
|
| 1351 |
+
"num_train_epochs": 8,
|
| 1352 |
+
"save_steps": 200,
|
| 1353 |
+
"stateful_callbacks": {
|
| 1354 |
+
"TrainerControl": {
|
| 1355 |
+
"args": {
|
| 1356 |
+
"should_epoch_stop": false,
|
| 1357 |
+
"should_evaluate": false,
|
| 1358 |
+
"should_log": false,
|
| 1359 |
+
"should_save": true,
|
| 1360 |
+
"should_training_stop": false
|
| 1361 |
+
},
|
| 1362 |
+
"attributes": {}
|
| 1363 |
+
}
|
| 1364 |
+
},
|
| 1365 |
+
"total_flos": 8.050978532936909e+16,
|
| 1366 |
+
"train_batch_size": 1,
|
| 1367 |
+
"trial_name": null,
|
| 1368 |
+
"trial_params": null
|
| 1369 |
+
}
|
Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1848/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:400ef20a202cfadecd17fb2d658472b52fb2ddded63f69b1e6150e63cfc2de96
|
| 3 |
+
size 5560
|
Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-1848/vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-2156/README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: Qwen/Qwen2-7B-Instruct
|
| 3 |
+
library_name: peft
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- 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. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
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).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.13.1
|
Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-2156/adapter_config.json
ADDED
|
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "Qwen/Qwen2-7B-Instruct",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": false,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layer_replication": null,
|
| 10 |
+
"layers_pattern": null,
|
| 11 |
+
"layers_to_transform": null,
|
| 12 |
+
"loftq_config": {},
|
| 13 |
+
"lora_alpha": 32,
|
| 14 |
+
"lora_dropout": 0.05,
|
| 15 |
+
"megatron_config": null,
|
| 16 |
+
"megatron_core": "megatron.core",
|
| 17 |
+
"modules_to_save": null,
|
| 18 |
+
"peft_type": "LORA",
|
| 19 |
+
"r": 64,
|
| 20 |
+
"rank_pattern": {},
|
| 21 |
+
"revision": null,
|
| 22 |
+
"target_modules": [
|
| 23 |
+
"v_proj",
|
| 24 |
+
"q_proj"
|
| 25 |
+
],
|
| 26 |
+
"task_type": "CAUSAL_LM",
|
| 27 |
+
"use_dora": false,
|
| 28 |
+
"use_rslora": false
|
| 29 |
+
}
|
Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-2156/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:44184a28c8a5a0bed8ef1c8ab116390389ae78ab1f9f26233aa78f6e1d76b4fe
|
| 3 |
+
size 80755416
|
Qwen2-7B-Instruct_int4_hellaswag-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.2-num-1405-sd-42/checkpoint-2156/added_tokens.json
ADDED
|
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"<|endoftext|>": 151643,
|
| 3 |
+
"<|im_end|>": 151645,
|
| 4 |
+
"<|im_start|>": 151644
|
| 5 |
+
}
|