Upload folder using huggingface_hub
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/README.md +202 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/adapter_config.json +29 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/adapter_model.safetensors +3 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-1478/README.md +202 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-1478/adapter_config.json +29 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-1478/adapter_model.safetensors +3 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-1478/optimizer.pt +3 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-1478/rng_state.pth +3 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-1478/scheduler.pt +3 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-1478/special_tokens_map.json +24 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-1478/tokenizer.json +0 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-1478/tokenizer.model +3 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-1478/tokenizer_config.json +0 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-1478/trainer_state.json +1078 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-1478/training_args.bin +3 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-2217/README.md +202 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-2217/adapter_config.json +29 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-2217/adapter_model.safetensors +3 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-2217/optimizer.pt +3 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-2217/rng_state.pth +3 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-2217/scheduler.pt +3 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-2217/special_tokens_map.json +24 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-2217/tokenizer.json +0 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-2217/tokenizer.model +3 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-2217/tokenizer_config.json +0 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-2217/trainer_state.json +1604 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-2217/training_args.bin +3 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-2956/README.md +202 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-2956/adapter_config.json +29 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-2956/adapter_model.safetensors +3 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-2956/optimizer.pt +3 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-2956/rng_state.pth +3 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-2956/scheduler.pt +3 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-2956/special_tokens_map.json +24 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-2956/tokenizer.json +0 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-2956/tokenizer.model +3 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-2956/tokenizer_config.json +0 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-2956/trainer_state.json +2130 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-2956/training_args.bin +3 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-3695/README.md +202 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-3695/adapter_config.json +29 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-3695/adapter_model.safetensors +3 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-3695/optimizer.pt +3 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-3695/rng_state.pth +3 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-3695/scheduler.pt +3 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-3695/special_tokens_map.json +24 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-3695/tokenizer.json +0 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-3695/tokenizer.model +3 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-3695/tokenizer_config.json +0 -0
- Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-3695/trainer_state.json +2656 -0
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: mistralai/Mistral-7B-Instruct-v0.3
|
| 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
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/adapter_config.json
ADDED
|
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.3",
|
| 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 |
+
"q_proj",
|
| 24 |
+
"v_proj"
|
| 25 |
+
],
|
| 26 |
+
"task_type": "CAUSAL_LM",
|
| 27 |
+
"use_dora": false,
|
| 28 |
+
"use_rslora": false
|
| 29 |
+
}
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d33014e2f5731367ea6dac1c5d423224567dc295f06ac67fa0093f6ec18d6db9
|
| 3 |
+
size 109069176
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-1478/README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: mistralai/Mistral-7B-Instruct-v0.3
|
| 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
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-1478/adapter_config.json
ADDED
|
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.3",
|
| 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 |
+
"q_proj",
|
| 24 |
+
"v_proj"
|
| 25 |
+
],
|
| 26 |
+
"task_type": "CAUSAL_LM",
|
| 27 |
+
"use_dora": false,
|
| 28 |
+
"use_rslora": false
|
| 29 |
+
}
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-1478/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d33014e2f5731367ea6dac1c5d423224567dc295f06ac67fa0093f6ec18d6db9
|
| 3 |
+
size 109069176
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-1478/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c55582fca3ac44be5df62bca9c97dd904099f5e96ecb80704c8955644cf2ac89
|
| 3 |
+
size 55532666
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-1478/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1c9ec3759c36fb838233297c7b05ec743fddb5e5927529b2c58261df06b7ab81
|
| 3 |
+
size 14244
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-1478/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:660d34cbbcd33d08eff3fc3d1ae9682bd9ddfa10fef5100de462943540fe3de2
|
| 3 |
+
size 1064
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-1478/special_tokens_map.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<s>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"eos_token": {
|
| 10 |
+
"content": "</s>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": "</s>",
|
| 17 |
+
"unk_token": {
|
| 18 |
+
"content": "<unk>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
}
|
| 24 |
+
}
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-1478/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-1478/tokenizer.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:37f00374dea48658ee8f5d0f21895b9bc55cb0103939607c8185bfd1c6ca1f89
|
| 3 |
+
size 587404
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-1478/tokenizer_config.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-1478/trainer_state.json
ADDED
|
@@ -0,0 +1,1078 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 1.28184974193573,
|
| 3 |
+
"best_model_checkpoint": "outputs-001/Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-1478",
|
| 4 |
+
"epoch": 2.0,
|
| 5 |
+
"eval_steps": 10,
|
| 6 |
+
"global_step": 1478,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.013531799729364006,
|
| 13 |
+
"grad_norm": 1.1050695180892944,
|
| 14 |
+
"learning_rate": 0.0002,
|
| 15 |
+
"loss": 1.9104,
|
| 16 |
+
"step": 10
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.02706359945872801,
|
| 20 |
+
"grad_norm": 1.2463239431381226,
|
| 21 |
+
"learning_rate": 0.0002,
|
| 22 |
+
"loss": 1.6832,
|
| 23 |
+
"step": 20
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.04059539918809202,
|
| 27 |
+
"grad_norm": 1.193475604057312,
|
| 28 |
+
"learning_rate": 0.0002,
|
| 29 |
+
"loss": 1.4273,
|
| 30 |
+
"step": 30
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.05412719891745602,
|
| 34 |
+
"grad_norm": 0.7777265310287476,
|
| 35 |
+
"learning_rate": 0.0002,
|
| 36 |
+
"loss": 1.4369,
|
| 37 |
+
"step": 40
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.06765899864682003,
|
| 41 |
+
"grad_norm": 1.4079619646072388,
|
| 42 |
+
"learning_rate": 0.0002,
|
| 43 |
+
"loss": 1.3618,
|
| 44 |
+
"step": 50
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.08119079837618404,
|
| 48 |
+
"grad_norm": 0.9451370239257812,
|
| 49 |
+
"learning_rate": 0.0002,
|
| 50 |
+
"loss": 1.2639,
|
| 51 |
+
"step": 60
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.09472259810554803,
|
| 55 |
+
"grad_norm": 0.7137989401817322,
|
| 56 |
+
"learning_rate": 0.0002,
|
| 57 |
+
"loss": 1.2494,
|
| 58 |
+
"step": 70
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.10825439783491204,
|
| 62 |
+
"grad_norm": 0.5521688461303711,
|
| 63 |
+
"learning_rate": 0.0002,
|
| 64 |
+
"loss": 1.1309,
|
| 65 |
+
"step": 80
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.12178619756427606,
|
| 69 |
+
"grad_norm": 0.8050252795219421,
|
| 70 |
+
"learning_rate": 0.0002,
|
| 71 |
+
"loss": 1.2882,
|
| 72 |
+
"step": 90
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.13531799729364005,
|
| 76 |
+
"grad_norm": 0.6771517992019653,
|
| 77 |
+
"learning_rate": 0.0002,
|
| 78 |
+
"loss": 1.2237,
|
| 79 |
+
"step": 100
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.14884979702300405,
|
| 83 |
+
"grad_norm": 0.8056462407112122,
|
| 84 |
+
"learning_rate": 0.0002,
|
| 85 |
+
"loss": 1.2265,
|
| 86 |
+
"step": 110
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.16238159675236807,
|
| 90 |
+
"grad_norm": 0.7240928411483765,
|
| 91 |
+
"learning_rate": 0.0002,
|
| 92 |
+
"loss": 1.3218,
|
| 93 |
+
"step": 120
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.17591339648173207,
|
| 97 |
+
"grad_norm": 0.5310224294662476,
|
| 98 |
+
"learning_rate": 0.0002,
|
| 99 |
+
"loss": 1.0812,
|
| 100 |
+
"step": 130
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.18944519621109607,
|
| 104 |
+
"grad_norm": 0.5730571150779724,
|
| 105 |
+
"learning_rate": 0.0002,
|
| 106 |
+
"loss": 1.2196,
|
| 107 |
+
"step": 140
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.2029769959404601,
|
| 111 |
+
"grad_norm": 0.5288769006729126,
|
| 112 |
+
"learning_rate": 0.0002,
|
| 113 |
+
"loss": 1.3183,
|
| 114 |
+
"step": 150
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.2165087956698241,
|
| 118 |
+
"grad_norm": 0.5447443723678589,
|
| 119 |
+
"learning_rate": 0.0002,
|
| 120 |
+
"loss": 1.1886,
|
| 121 |
+
"step": 160
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.23004059539918809,
|
| 125 |
+
"grad_norm": 2.2740917205810547,
|
| 126 |
+
"learning_rate": 0.0002,
|
| 127 |
+
"loss": 1.1994,
|
| 128 |
+
"step": 170
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.2435723951285521,
|
| 132 |
+
"grad_norm": 0.6200950741767883,
|
| 133 |
+
"learning_rate": 0.0002,
|
| 134 |
+
"loss": 1.2398,
|
| 135 |
+
"step": 180
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.2571041948579161,
|
| 139 |
+
"grad_norm": 1.1782610416412354,
|
| 140 |
+
"learning_rate": 0.0002,
|
| 141 |
+
"loss": 1.2827,
|
| 142 |
+
"step": 190
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.2706359945872801,
|
| 146 |
+
"grad_norm": 0.7893068194389343,
|
| 147 |
+
"learning_rate": 0.0002,
|
| 148 |
+
"loss": 1.1697,
|
| 149 |
+
"step": 200
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.28416779431664413,
|
| 153 |
+
"grad_norm": 0.5421761274337769,
|
| 154 |
+
"learning_rate": 0.0002,
|
| 155 |
+
"loss": 1.221,
|
| 156 |
+
"step": 210
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.2976995940460081,
|
| 160 |
+
"grad_norm": 0.5460169315338135,
|
| 161 |
+
"learning_rate": 0.0002,
|
| 162 |
+
"loss": 1.2019,
|
| 163 |
+
"step": 220
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.3112313937753721,
|
| 167 |
+
"grad_norm": 0.5957289934158325,
|
| 168 |
+
"learning_rate": 0.0002,
|
| 169 |
+
"loss": 1.1363,
|
| 170 |
+
"step": 230
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.32476319350473615,
|
| 174 |
+
"grad_norm": 0.745093047618866,
|
| 175 |
+
"learning_rate": 0.0002,
|
| 176 |
+
"loss": 1.2545,
|
| 177 |
+
"step": 240
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.3382949932341001,
|
| 181 |
+
"grad_norm": 0.622627317905426,
|
| 182 |
+
"learning_rate": 0.0002,
|
| 183 |
+
"loss": 1.2408,
|
| 184 |
+
"step": 250
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 0.35182679296346414,
|
| 188 |
+
"grad_norm": 0.5773138999938965,
|
| 189 |
+
"learning_rate": 0.0002,
|
| 190 |
+
"loss": 1.3083,
|
| 191 |
+
"step": 260
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.36535859269282817,
|
| 195 |
+
"grad_norm": 1.104275107383728,
|
| 196 |
+
"learning_rate": 0.0002,
|
| 197 |
+
"loss": 1.0475,
|
| 198 |
+
"step": 270
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 0.37889039242219213,
|
| 202 |
+
"grad_norm": 0.5755344033241272,
|
| 203 |
+
"learning_rate": 0.0002,
|
| 204 |
+
"loss": 1.0988,
|
| 205 |
+
"step": 280
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 0.39242219215155616,
|
| 209 |
+
"grad_norm": 0.5885311961174011,
|
| 210 |
+
"learning_rate": 0.0002,
|
| 211 |
+
"loss": 1.2215,
|
| 212 |
+
"step": 290
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.4059539918809202,
|
| 216 |
+
"grad_norm": 1.448182225227356,
|
| 217 |
+
"learning_rate": 0.0002,
|
| 218 |
+
"loss": 1.2099,
|
| 219 |
+
"step": 300
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.41948579161028415,
|
| 223 |
+
"grad_norm": 0.5983599424362183,
|
| 224 |
+
"learning_rate": 0.0002,
|
| 225 |
+
"loss": 1.2114,
|
| 226 |
+
"step": 310
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 0.4330175913396482,
|
| 230 |
+
"grad_norm": 0.5013539791107178,
|
| 231 |
+
"learning_rate": 0.0002,
|
| 232 |
+
"loss": 1.1691,
|
| 233 |
+
"step": 320
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 0.4465493910690122,
|
| 237 |
+
"grad_norm": 0.8935738205909729,
|
| 238 |
+
"learning_rate": 0.0002,
|
| 239 |
+
"loss": 1.138,
|
| 240 |
+
"step": 330
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 0.46008119079837617,
|
| 244 |
+
"grad_norm": 0.5642115473747253,
|
| 245 |
+
"learning_rate": 0.0002,
|
| 246 |
+
"loss": 1.1336,
|
| 247 |
+
"step": 340
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 0.4736129905277402,
|
| 251 |
+
"grad_norm": 0.7897255420684814,
|
| 252 |
+
"learning_rate": 0.0002,
|
| 253 |
+
"loss": 1.2355,
|
| 254 |
+
"step": 350
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 0.4871447902571042,
|
| 258 |
+
"grad_norm": 1.6891459226608276,
|
| 259 |
+
"learning_rate": 0.0002,
|
| 260 |
+
"loss": 1.1067,
|
| 261 |
+
"step": 360
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 0.5006765899864682,
|
| 265 |
+
"grad_norm": 1.1374807357788086,
|
| 266 |
+
"learning_rate": 0.0002,
|
| 267 |
+
"loss": 1.1787,
|
| 268 |
+
"step": 370
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 0.5142083897158322,
|
| 272 |
+
"grad_norm": 0.5355549454689026,
|
| 273 |
+
"learning_rate": 0.0002,
|
| 274 |
+
"loss": 1.1525,
|
| 275 |
+
"step": 380
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 0.5277401894451962,
|
| 279 |
+
"grad_norm": 0.656196653842926,
|
| 280 |
+
"learning_rate": 0.0002,
|
| 281 |
+
"loss": 1.1298,
|
| 282 |
+
"step": 390
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 0.5412719891745602,
|
| 286 |
+
"grad_norm": 0.8692356944084167,
|
| 287 |
+
"learning_rate": 0.0002,
|
| 288 |
+
"loss": 1.1471,
|
| 289 |
+
"step": 400
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 0.5548037889039242,
|
| 293 |
+
"grad_norm": 0.5873697400093079,
|
| 294 |
+
"learning_rate": 0.0002,
|
| 295 |
+
"loss": 0.9781,
|
| 296 |
+
"step": 410
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 0.5683355886332883,
|
| 300 |
+
"grad_norm": 0.8922758102416992,
|
| 301 |
+
"learning_rate": 0.0002,
|
| 302 |
+
"loss": 1.1841,
|
| 303 |
+
"step": 420
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 0.5818673883626523,
|
| 307 |
+
"grad_norm": 0.5048012733459473,
|
| 308 |
+
"learning_rate": 0.0002,
|
| 309 |
+
"loss": 1.184,
|
| 310 |
+
"step": 430
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 0.5953991880920162,
|
| 314 |
+
"grad_norm": 0.603631317615509,
|
| 315 |
+
"learning_rate": 0.0002,
|
| 316 |
+
"loss": 1.3276,
|
| 317 |
+
"step": 440
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 0.6089309878213802,
|
| 321 |
+
"grad_norm": 0.5635734796524048,
|
| 322 |
+
"learning_rate": 0.0002,
|
| 323 |
+
"loss": 1.0459,
|
| 324 |
+
"step": 450
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 0.6224627875507442,
|
| 328 |
+
"grad_norm": 0.7483186721801758,
|
| 329 |
+
"learning_rate": 0.0002,
|
| 330 |
+
"loss": 1.1549,
|
| 331 |
+
"step": 460
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 0.6359945872801083,
|
| 335 |
+
"grad_norm": 0.5372456312179565,
|
| 336 |
+
"learning_rate": 0.0002,
|
| 337 |
+
"loss": 1.1141,
|
| 338 |
+
"step": 470
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 0.6495263870094723,
|
| 342 |
+
"grad_norm": 0.9461246728897095,
|
| 343 |
+
"learning_rate": 0.0002,
|
| 344 |
+
"loss": 1.2966,
|
| 345 |
+
"step": 480
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 0.6630581867388363,
|
| 349 |
+
"grad_norm": 0.7017379403114319,
|
| 350 |
+
"learning_rate": 0.0002,
|
| 351 |
+
"loss": 1.1226,
|
| 352 |
+
"step": 490
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 0.6765899864682002,
|
| 356 |
+
"grad_norm": 1.6177887916564941,
|
| 357 |
+
"learning_rate": 0.0002,
|
| 358 |
+
"loss": 1.2138,
|
| 359 |
+
"step": 500
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 0.6901217861975643,
|
| 363 |
+
"grad_norm": 0.4857328236103058,
|
| 364 |
+
"learning_rate": 0.0002,
|
| 365 |
+
"loss": 1.0716,
|
| 366 |
+
"step": 510
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 0.7036535859269283,
|
| 370 |
+
"grad_norm": 1.0545706748962402,
|
| 371 |
+
"learning_rate": 0.0002,
|
| 372 |
+
"loss": 1.2898,
|
| 373 |
+
"step": 520
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 0.7171853856562923,
|
| 377 |
+
"grad_norm": 0.7486541867256165,
|
| 378 |
+
"learning_rate": 0.0002,
|
| 379 |
+
"loss": 1.2527,
|
| 380 |
+
"step": 530
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 0.7307171853856563,
|
| 384 |
+
"grad_norm": 0.6588427424430847,
|
| 385 |
+
"learning_rate": 0.0002,
|
| 386 |
+
"loss": 1.0634,
|
| 387 |
+
"step": 540
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 0.7442489851150202,
|
| 391 |
+
"grad_norm": 0.9485914707183838,
|
| 392 |
+
"learning_rate": 0.0002,
|
| 393 |
+
"loss": 1.0988,
|
| 394 |
+
"step": 550
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 0.7577807848443843,
|
| 398 |
+
"grad_norm": 0.7465947866439819,
|
| 399 |
+
"learning_rate": 0.0002,
|
| 400 |
+
"loss": 1.1933,
|
| 401 |
+
"step": 560
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 0.7713125845737483,
|
| 405 |
+
"grad_norm": 0.6392837166786194,
|
| 406 |
+
"learning_rate": 0.0002,
|
| 407 |
+
"loss": 1.0927,
|
| 408 |
+
"step": 570
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 0.7848443843031123,
|
| 412 |
+
"grad_norm": 0.4898282587528229,
|
| 413 |
+
"learning_rate": 0.0002,
|
| 414 |
+
"loss": 1.14,
|
| 415 |
+
"step": 580
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
"epoch": 0.7983761840324763,
|
| 419 |
+
"grad_norm": 0.5636171102523804,
|
| 420 |
+
"learning_rate": 0.0002,
|
| 421 |
+
"loss": 1.0425,
|
| 422 |
+
"step": 590
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 0.8119079837618404,
|
| 426 |
+
"grad_norm": 0.6637675166130066,
|
| 427 |
+
"learning_rate": 0.0002,
|
| 428 |
+
"loss": 1.0717,
|
| 429 |
+
"step": 600
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 0.8254397834912043,
|
| 433 |
+
"grad_norm": 1.1842738389968872,
|
| 434 |
+
"learning_rate": 0.0002,
|
| 435 |
+
"loss": 1.1204,
|
| 436 |
+
"step": 610
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"epoch": 0.8389715832205683,
|
| 440 |
+
"grad_norm": 0.5699004530906677,
|
| 441 |
+
"learning_rate": 0.0002,
|
| 442 |
+
"loss": 1.083,
|
| 443 |
+
"step": 620
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 0.8525033829499323,
|
| 447 |
+
"grad_norm": 0.7748669385910034,
|
| 448 |
+
"learning_rate": 0.0002,
|
| 449 |
+
"loss": 1.153,
|
| 450 |
+
"step": 630
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 0.8660351826792964,
|
| 454 |
+
"grad_norm": 0.7987180352210999,
|
| 455 |
+
"learning_rate": 0.0002,
|
| 456 |
+
"loss": 1.141,
|
| 457 |
+
"step": 640
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"epoch": 0.8795669824086604,
|
| 461 |
+
"grad_norm": 1.0740629434585571,
|
| 462 |
+
"learning_rate": 0.0002,
|
| 463 |
+
"loss": 1.0949,
|
| 464 |
+
"step": 650
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 0.8930987821380244,
|
| 468 |
+
"grad_norm": 0.731082022190094,
|
| 469 |
+
"learning_rate": 0.0002,
|
| 470 |
+
"loss": 1.0503,
|
| 471 |
+
"step": 660
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 0.9066305818673883,
|
| 475 |
+
"grad_norm": 0.9066846966743469,
|
| 476 |
+
"learning_rate": 0.0002,
|
| 477 |
+
"loss": 1.1075,
|
| 478 |
+
"step": 670
|
| 479 |
+
},
|
| 480 |
+
{
|
| 481 |
+
"epoch": 0.9201623815967523,
|
| 482 |
+
"grad_norm": 0.9934597015380859,
|
| 483 |
+
"learning_rate": 0.0002,
|
| 484 |
+
"loss": 1.0516,
|
| 485 |
+
"step": 680
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 0.9336941813261164,
|
| 489 |
+
"grad_norm": 0.7975896000862122,
|
| 490 |
+
"learning_rate": 0.0002,
|
| 491 |
+
"loss": 1.0983,
|
| 492 |
+
"step": 690
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"epoch": 0.9472259810554804,
|
| 496 |
+
"grad_norm": 0.9127744436264038,
|
| 497 |
+
"learning_rate": 0.0002,
|
| 498 |
+
"loss": 1.2362,
|
| 499 |
+
"step": 700
|
| 500 |
+
},
|
| 501 |
+
{
|
| 502 |
+
"epoch": 0.9607577807848444,
|
| 503 |
+
"grad_norm": 0.7682064175605774,
|
| 504 |
+
"learning_rate": 0.0002,
|
| 505 |
+
"loss": 1.0273,
|
| 506 |
+
"step": 710
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 0.9742895805142084,
|
| 510 |
+
"grad_norm": 0.9808696508407593,
|
| 511 |
+
"learning_rate": 0.0002,
|
| 512 |
+
"loss": 1.2195,
|
| 513 |
+
"step": 720
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 0.9878213802435724,
|
| 517 |
+
"grad_norm": 1.0826992988586426,
|
| 518 |
+
"learning_rate": 0.0002,
|
| 519 |
+
"loss": 1.0979,
|
| 520 |
+
"step": 730
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"epoch": 1.0,
|
| 524 |
+
"eval_loss": 1.2867646217346191,
|
| 525 |
+
"eval_runtime": 53.6569,
|
| 526 |
+
"eval_samples_per_second": 8.498,
|
| 527 |
+
"eval_steps_per_second": 1.062,
|
| 528 |
+
"step": 739
|
| 529 |
+
},
|
| 530 |
+
{
|
| 531 |
+
"epoch": 1.0013531799729365,
|
| 532 |
+
"grad_norm": 0.6498591303825378,
|
| 533 |
+
"learning_rate": 0.0002,
|
| 534 |
+
"loss": 1.1631,
|
| 535 |
+
"step": 740
|
| 536 |
+
},
|
| 537 |
+
{
|
| 538 |
+
"epoch": 1.0148849797023005,
|
| 539 |
+
"grad_norm": 0.8040738701820374,
|
| 540 |
+
"learning_rate": 0.0002,
|
| 541 |
+
"loss": 1.0737,
|
| 542 |
+
"step": 750
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"epoch": 1.0284167794316643,
|
| 546 |
+
"grad_norm": 0.7280412912368774,
|
| 547 |
+
"learning_rate": 0.0002,
|
| 548 |
+
"loss": 1.03,
|
| 549 |
+
"step": 760
|
| 550 |
+
},
|
| 551 |
+
{
|
| 552 |
+
"epoch": 1.0419485791610283,
|
| 553 |
+
"grad_norm": 0.672149121761322,
|
| 554 |
+
"learning_rate": 0.0002,
|
| 555 |
+
"loss": 0.9603,
|
| 556 |
+
"step": 770
|
| 557 |
+
},
|
| 558 |
+
{
|
| 559 |
+
"epoch": 1.0554803788903924,
|
| 560 |
+
"grad_norm": 1.1186308860778809,
|
| 561 |
+
"learning_rate": 0.0002,
|
| 562 |
+
"loss": 0.997,
|
| 563 |
+
"step": 780
|
| 564 |
+
},
|
| 565 |
+
{
|
| 566 |
+
"epoch": 1.0690121786197564,
|
| 567 |
+
"grad_norm": 0.9073583483695984,
|
| 568 |
+
"learning_rate": 0.0002,
|
| 569 |
+
"loss": 0.9088,
|
| 570 |
+
"step": 790
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 1.0825439783491204,
|
| 574 |
+
"grad_norm": 0.6135605573654175,
|
| 575 |
+
"learning_rate": 0.0002,
|
| 576 |
+
"loss": 0.9413,
|
| 577 |
+
"step": 800
|
| 578 |
+
},
|
| 579 |
+
{
|
| 580 |
+
"epoch": 1.0960757780784844,
|
| 581 |
+
"grad_norm": 0.5854787826538086,
|
| 582 |
+
"learning_rate": 0.0002,
|
| 583 |
+
"loss": 0.9024,
|
| 584 |
+
"step": 810
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 1.1096075778078485,
|
| 588 |
+
"grad_norm": 0.9077727794647217,
|
| 589 |
+
"learning_rate": 0.0002,
|
| 590 |
+
"loss": 1.0176,
|
| 591 |
+
"step": 820
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 1.1231393775372125,
|
| 595 |
+
"grad_norm": 0.7072564363479614,
|
| 596 |
+
"learning_rate": 0.0002,
|
| 597 |
+
"loss": 0.9489,
|
| 598 |
+
"step": 830
|
| 599 |
+
},
|
| 600 |
+
{
|
| 601 |
+
"epoch": 1.1366711772665765,
|
| 602 |
+
"grad_norm": 0.9457924365997314,
|
| 603 |
+
"learning_rate": 0.0002,
|
| 604 |
+
"loss": 0.9275,
|
| 605 |
+
"step": 840
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 1.1502029769959405,
|
| 609 |
+
"grad_norm": 0.9216122031211853,
|
| 610 |
+
"learning_rate": 0.0002,
|
| 611 |
+
"loss": 0.9998,
|
| 612 |
+
"step": 850
|
| 613 |
+
},
|
| 614 |
+
{
|
| 615 |
+
"epoch": 1.1637347767253043,
|
| 616 |
+
"grad_norm": 1.0899791717529297,
|
| 617 |
+
"learning_rate": 0.0002,
|
| 618 |
+
"loss": 0.9803,
|
| 619 |
+
"step": 860
|
| 620 |
+
},
|
| 621 |
+
{
|
| 622 |
+
"epoch": 1.1772665764546684,
|
| 623 |
+
"grad_norm": 0.8594662547111511,
|
| 624 |
+
"learning_rate": 0.0002,
|
| 625 |
+
"loss": 1.0419,
|
| 626 |
+
"step": 870
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 1.1907983761840324,
|
| 630 |
+
"grad_norm": 0.8680914640426636,
|
| 631 |
+
"learning_rate": 0.0002,
|
| 632 |
+
"loss": 0.9513,
|
| 633 |
+
"step": 880
|
| 634 |
+
},
|
| 635 |
+
{
|
| 636 |
+
"epoch": 1.2043301759133964,
|
| 637 |
+
"grad_norm": 0.5579341650009155,
|
| 638 |
+
"learning_rate": 0.0002,
|
| 639 |
+
"loss": 0.9695,
|
| 640 |
+
"step": 890
|
| 641 |
+
},
|
| 642 |
+
{
|
| 643 |
+
"epoch": 1.2178619756427604,
|
| 644 |
+
"grad_norm": 0.8556986451148987,
|
| 645 |
+
"learning_rate": 0.0002,
|
| 646 |
+
"loss": 1.0153,
|
| 647 |
+
"step": 900
|
| 648 |
+
},
|
| 649 |
+
{
|
| 650 |
+
"epoch": 1.2313937753721245,
|
| 651 |
+
"grad_norm": 1.8943263292312622,
|
| 652 |
+
"learning_rate": 0.0002,
|
| 653 |
+
"loss": 0.9589,
|
| 654 |
+
"step": 910
|
| 655 |
+
},
|
| 656 |
+
{
|
| 657 |
+
"epoch": 1.2449255751014885,
|
| 658 |
+
"grad_norm": 0.7652221918106079,
|
| 659 |
+
"learning_rate": 0.0002,
|
| 660 |
+
"loss": 0.9554,
|
| 661 |
+
"step": 920
|
| 662 |
+
},
|
| 663 |
+
{
|
| 664 |
+
"epoch": 1.2584573748308525,
|
| 665 |
+
"grad_norm": 0.6921482086181641,
|
| 666 |
+
"learning_rate": 0.0002,
|
| 667 |
+
"loss": 0.955,
|
| 668 |
+
"step": 930
|
| 669 |
+
},
|
| 670 |
+
{
|
| 671 |
+
"epoch": 1.2719891745602165,
|
| 672 |
+
"grad_norm": 0.7211646437644958,
|
| 673 |
+
"learning_rate": 0.0002,
|
| 674 |
+
"loss": 1.0335,
|
| 675 |
+
"step": 940
|
| 676 |
+
},
|
| 677 |
+
{
|
| 678 |
+
"epoch": 1.2855209742895806,
|
| 679 |
+
"grad_norm": 0.9096421599388123,
|
| 680 |
+
"learning_rate": 0.0002,
|
| 681 |
+
"loss": 1.0597,
|
| 682 |
+
"step": 950
|
| 683 |
+
},
|
| 684 |
+
{
|
| 685 |
+
"epoch": 1.2990527740189446,
|
| 686 |
+
"grad_norm": 0.743715226650238,
|
| 687 |
+
"learning_rate": 0.0002,
|
| 688 |
+
"loss": 1.1143,
|
| 689 |
+
"step": 960
|
| 690 |
+
},
|
| 691 |
+
{
|
| 692 |
+
"epoch": 1.3125845737483086,
|
| 693 |
+
"grad_norm": 0.9247064590454102,
|
| 694 |
+
"learning_rate": 0.0002,
|
| 695 |
+
"loss": 0.9284,
|
| 696 |
+
"step": 970
|
| 697 |
+
},
|
| 698 |
+
{
|
| 699 |
+
"epoch": 1.3261163734776726,
|
| 700 |
+
"grad_norm": 1.0811798572540283,
|
| 701 |
+
"learning_rate": 0.0002,
|
| 702 |
+
"loss": 0.9534,
|
| 703 |
+
"step": 980
|
| 704 |
+
},
|
| 705 |
+
{
|
| 706 |
+
"epoch": 1.3396481732070367,
|
| 707 |
+
"grad_norm": 0.7317015528678894,
|
| 708 |
+
"learning_rate": 0.0002,
|
| 709 |
+
"loss": 0.9579,
|
| 710 |
+
"step": 990
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"epoch": 1.3531799729364005,
|
| 714 |
+
"grad_norm": 0.8399309515953064,
|
| 715 |
+
"learning_rate": 0.0002,
|
| 716 |
+
"loss": 1.0071,
|
| 717 |
+
"step": 1000
|
| 718 |
+
},
|
| 719 |
+
{
|
| 720 |
+
"epoch": 1.3667117726657645,
|
| 721 |
+
"grad_norm": 1.094558835029602,
|
| 722 |
+
"learning_rate": 0.0002,
|
| 723 |
+
"loss": 0.9483,
|
| 724 |
+
"step": 1010
|
| 725 |
+
},
|
| 726 |
+
{
|
| 727 |
+
"epoch": 1.3802435723951285,
|
| 728 |
+
"grad_norm": 1.3759856224060059,
|
| 729 |
+
"learning_rate": 0.0002,
|
| 730 |
+
"loss": 0.8744,
|
| 731 |
+
"step": 1020
|
| 732 |
+
},
|
| 733 |
+
{
|
| 734 |
+
"epoch": 1.3937753721244925,
|
| 735 |
+
"grad_norm": 0.8855497241020203,
|
| 736 |
+
"learning_rate": 0.0002,
|
| 737 |
+
"loss": 0.915,
|
| 738 |
+
"step": 1030
|
| 739 |
+
},
|
| 740 |
+
{
|
| 741 |
+
"epoch": 1.4073071718538566,
|
| 742 |
+
"grad_norm": 3.6836671829223633,
|
| 743 |
+
"learning_rate": 0.0002,
|
| 744 |
+
"loss": 0.9236,
|
| 745 |
+
"step": 1040
|
| 746 |
+
},
|
| 747 |
+
{
|
| 748 |
+
"epoch": 1.4208389715832206,
|
| 749 |
+
"grad_norm": 1.1119214296340942,
|
| 750 |
+
"learning_rate": 0.0002,
|
| 751 |
+
"loss": 0.8975,
|
| 752 |
+
"step": 1050
|
| 753 |
+
},
|
| 754 |
+
{
|
| 755 |
+
"epoch": 1.4343707713125846,
|
| 756 |
+
"grad_norm": 0.8871118426322937,
|
| 757 |
+
"learning_rate": 0.0002,
|
| 758 |
+
"loss": 0.9381,
|
| 759 |
+
"step": 1060
|
| 760 |
+
},
|
| 761 |
+
{
|
| 762 |
+
"epoch": 1.4479025710419486,
|
| 763 |
+
"grad_norm": 0.9937213063240051,
|
| 764 |
+
"learning_rate": 0.0002,
|
| 765 |
+
"loss": 0.9091,
|
| 766 |
+
"step": 1070
|
| 767 |
+
},
|
| 768 |
+
{
|
| 769 |
+
"epoch": 1.4614343707713127,
|
| 770 |
+
"grad_norm": 0.7206485867500305,
|
| 771 |
+
"learning_rate": 0.0002,
|
| 772 |
+
"loss": 0.9923,
|
| 773 |
+
"step": 1080
|
| 774 |
+
},
|
| 775 |
+
{
|
| 776 |
+
"epoch": 1.4749661705006765,
|
| 777 |
+
"grad_norm": 0.8442404866218567,
|
| 778 |
+
"learning_rate": 0.0002,
|
| 779 |
+
"loss": 0.951,
|
| 780 |
+
"step": 1090
|
| 781 |
+
},
|
| 782 |
+
{
|
| 783 |
+
"epoch": 1.4884979702300405,
|
| 784 |
+
"grad_norm": 0.9265049695968628,
|
| 785 |
+
"learning_rate": 0.0002,
|
| 786 |
+
"loss": 0.8609,
|
| 787 |
+
"step": 1100
|
| 788 |
+
},
|
| 789 |
+
{
|
| 790 |
+
"epoch": 1.5020297699594045,
|
| 791 |
+
"grad_norm": 1.1033650636672974,
|
| 792 |
+
"learning_rate": 0.0002,
|
| 793 |
+
"loss": 1.0021,
|
| 794 |
+
"step": 1110
|
| 795 |
+
},
|
| 796 |
+
{
|
| 797 |
+
"epoch": 1.5155615696887685,
|
| 798 |
+
"grad_norm": 0.7876176834106445,
|
| 799 |
+
"learning_rate": 0.0002,
|
| 800 |
+
"loss": 1.004,
|
| 801 |
+
"step": 1120
|
| 802 |
+
},
|
| 803 |
+
{
|
| 804 |
+
"epoch": 1.5290933694181326,
|
| 805 |
+
"grad_norm": 0.7761271595954895,
|
| 806 |
+
"learning_rate": 0.0002,
|
| 807 |
+
"loss": 0.9555,
|
| 808 |
+
"step": 1130
|
| 809 |
+
},
|
| 810 |
+
{
|
| 811 |
+
"epoch": 1.5426251691474966,
|
| 812 |
+
"grad_norm": 1.0603803396224976,
|
| 813 |
+
"learning_rate": 0.0002,
|
| 814 |
+
"loss": 0.9569,
|
| 815 |
+
"step": 1140
|
| 816 |
+
},
|
| 817 |
+
{
|
| 818 |
+
"epoch": 1.5561569688768606,
|
| 819 |
+
"grad_norm": 0.7715556621551514,
|
| 820 |
+
"learning_rate": 0.0002,
|
| 821 |
+
"loss": 0.9842,
|
| 822 |
+
"step": 1150
|
| 823 |
+
},
|
| 824 |
+
{
|
| 825 |
+
"epoch": 1.5696887686062246,
|
| 826 |
+
"grad_norm": 0.6591511368751526,
|
| 827 |
+
"learning_rate": 0.0002,
|
| 828 |
+
"loss": 0.898,
|
| 829 |
+
"step": 1160
|
| 830 |
+
},
|
| 831 |
+
{
|
| 832 |
+
"epoch": 1.5832205683355887,
|
| 833 |
+
"grad_norm": 1.1773475408554077,
|
| 834 |
+
"learning_rate": 0.0002,
|
| 835 |
+
"loss": 0.9584,
|
| 836 |
+
"step": 1170
|
| 837 |
+
},
|
| 838 |
+
{
|
| 839 |
+
"epoch": 1.5967523680649527,
|
| 840 |
+
"grad_norm": 0.8513862490653992,
|
| 841 |
+
"learning_rate": 0.0002,
|
| 842 |
+
"loss": 0.9229,
|
| 843 |
+
"step": 1180
|
| 844 |
+
},
|
| 845 |
+
{
|
| 846 |
+
"epoch": 1.6102841677943167,
|
| 847 |
+
"grad_norm": 1.0796581506729126,
|
| 848 |
+
"learning_rate": 0.0002,
|
| 849 |
+
"loss": 0.9577,
|
| 850 |
+
"step": 1190
|
| 851 |
+
},
|
| 852 |
+
{
|
| 853 |
+
"epoch": 1.6238159675236807,
|
| 854 |
+
"grad_norm": 0.8897230625152588,
|
| 855 |
+
"learning_rate": 0.0002,
|
| 856 |
+
"loss": 0.9698,
|
| 857 |
+
"step": 1200
|
| 858 |
+
},
|
| 859 |
+
{
|
| 860 |
+
"epoch": 1.6373477672530448,
|
| 861 |
+
"grad_norm": 1.4640971422195435,
|
| 862 |
+
"learning_rate": 0.0002,
|
| 863 |
+
"loss": 0.9295,
|
| 864 |
+
"step": 1210
|
| 865 |
+
},
|
| 866 |
+
{
|
| 867 |
+
"epoch": 1.6508795669824088,
|
| 868 |
+
"grad_norm": 1.123056173324585,
|
| 869 |
+
"learning_rate": 0.0002,
|
| 870 |
+
"loss": 1.003,
|
| 871 |
+
"step": 1220
|
| 872 |
+
},
|
| 873 |
+
{
|
| 874 |
+
"epoch": 1.6644113667117728,
|
| 875 |
+
"grad_norm": 1.1064175367355347,
|
| 876 |
+
"learning_rate": 0.0002,
|
| 877 |
+
"loss": 0.9524,
|
| 878 |
+
"step": 1230
|
| 879 |
+
},
|
| 880 |
+
{
|
| 881 |
+
"epoch": 1.6779431664411368,
|
| 882 |
+
"grad_norm": 2.4434642791748047,
|
| 883 |
+
"learning_rate": 0.0002,
|
| 884 |
+
"loss": 0.8896,
|
| 885 |
+
"step": 1240
|
| 886 |
+
},
|
| 887 |
+
{
|
| 888 |
+
"epoch": 1.6914749661705006,
|
| 889 |
+
"grad_norm": 1.0455760955810547,
|
| 890 |
+
"learning_rate": 0.0002,
|
| 891 |
+
"loss": 0.9899,
|
| 892 |
+
"step": 1250
|
| 893 |
+
},
|
| 894 |
+
{
|
| 895 |
+
"epoch": 1.7050067658998647,
|
| 896 |
+
"grad_norm": 1.1007593870162964,
|
| 897 |
+
"learning_rate": 0.0002,
|
| 898 |
+
"loss": 0.9032,
|
| 899 |
+
"step": 1260
|
| 900 |
+
},
|
| 901 |
+
{
|
| 902 |
+
"epoch": 1.7185385656292287,
|
| 903 |
+
"grad_norm": 1.2697606086730957,
|
| 904 |
+
"learning_rate": 0.0002,
|
| 905 |
+
"loss": 0.9226,
|
| 906 |
+
"step": 1270
|
| 907 |
+
},
|
| 908 |
+
{
|
| 909 |
+
"epoch": 1.7320703653585927,
|
| 910 |
+
"grad_norm": 1.1537855863571167,
|
| 911 |
+
"learning_rate": 0.0002,
|
| 912 |
+
"loss": 0.8771,
|
| 913 |
+
"step": 1280
|
| 914 |
+
},
|
| 915 |
+
{
|
| 916 |
+
"epoch": 1.7456021650879567,
|
| 917 |
+
"grad_norm": 0.9637187719345093,
|
| 918 |
+
"learning_rate": 0.0002,
|
| 919 |
+
"loss": 0.8655,
|
| 920 |
+
"step": 1290
|
| 921 |
+
},
|
| 922 |
+
{
|
| 923 |
+
"epoch": 1.7591339648173205,
|
| 924 |
+
"grad_norm": 1.1610347032546997,
|
| 925 |
+
"learning_rate": 0.0002,
|
| 926 |
+
"loss": 0.9641,
|
| 927 |
+
"step": 1300
|
| 928 |
+
},
|
| 929 |
+
{
|
| 930 |
+
"epoch": 1.7726657645466846,
|
| 931 |
+
"grad_norm": 0.717607319355011,
|
| 932 |
+
"learning_rate": 0.0002,
|
| 933 |
+
"loss": 0.9417,
|
| 934 |
+
"step": 1310
|
| 935 |
+
},
|
| 936 |
+
{
|
| 937 |
+
"epoch": 1.7861975642760486,
|
| 938 |
+
"grad_norm": 1.753371238708496,
|
| 939 |
+
"learning_rate": 0.0002,
|
| 940 |
+
"loss": 0.8852,
|
| 941 |
+
"step": 1320
|
| 942 |
+
},
|
| 943 |
+
{
|
| 944 |
+
"epoch": 1.7997293640054126,
|
| 945 |
+
"grad_norm": 0.7919637560844421,
|
| 946 |
+
"learning_rate": 0.0002,
|
| 947 |
+
"loss": 1.0327,
|
| 948 |
+
"step": 1330
|
| 949 |
+
},
|
| 950 |
+
{
|
| 951 |
+
"epoch": 1.8132611637347766,
|
| 952 |
+
"grad_norm": 1.1091023683547974,
|
| 953 |
+
"learning_rate": 0.0002,
|
| 954 |
+
"loss": 1.0019,
|
| 955 |
+
"step": 1340
|
| 956 |
+
},
|
| 957 |
+
{
|
| 958 |
+
"epoch": 1.8267929634641407,
|
| 959 |
+
"grad_norm": 0.7157362699508667,
|
| 960 |
+
"learning_rate": 0.0002,
|
| 961 |
+
"loss": 0.9457,
|
| 962 |
+
"step": 1350
|
| 963 |
+
},
|
| 964 |
+
{
|
| 965 |
+
"epoch": 1.8403247631935047,
|
| 966 |
+
"grad_norm": 0.9538856744766235,
|
| 967 |
+
"learning_rate": 0.0002,
|
| 968 |
+
"loss": 0.9818,
|
| 969 |
+
"step": 1360
|
| 970 |
+
},
|
| 971 |
+
{
|
| 972 |
+
"epoch": 1.8538565629228687,
|
| 973 |
+
"grad_norm": 1.689642071723938,
|
| 974 |
+
"learning_rate": 0.0002,
|
| 975 |
+
"loss": 0.9321,
|
| 976 |
+
"step": 1370
|
| 977 |
+
},
|
| 978 |
+
{
|
| 979 |
+
"epoch": 1.8673883626522327,
|
| 980 |
+
"grad_norm": 1.3405762910842896,
|
| 981 |
+
"learning_rate": 0.0002,
|
| 982 |
+
"loss": 0.9577,
|
| 983 |
+
"step": 1380
|
| 984 |
+
},
|
| 985 |
+
{
|
| 986 |
+
"epoch": 1.8809201623815968,
|
| 987 |
+
"grad_norm": 1.187905192375183,
|
| 988 |
+
"learning_rate": 0.0002,
|
| 989 |
+
"loss": 0.9279,
|
| 990 |
+
"step": 1390
|
| 991 |
+
},
|
| 992 |
+
{
|
| 993 |
+
"epoch": 1.8944519621109608,
|
| 994 |
+
"grad_norm": 1.403511643409729,
|
| 995 |
+
"learning_rate": 0.0002,
|
| 996 |
+
"loss": 0.9266,
|
| 997 |
+
"step": 1400
|
| 998 |
+
},
|
| 999 |
+
{
|
| 1000 |
+
"epoch": 1.9079837618403248,
|
| 1001 |
+
"grad_norm": 1.4245457649230957,
|
| 1002 |
+
"learning_rate": 0.0002,
|
| 1003 |
+
"loss": 0.9654,
|
| 1004 |
+
"step": 1410
|
| 1005 |
+
},
|
| 1006 |
+
{
|
| 1007 |
+
"epoch": 1.9215155615696888,
|
| 1008 |
+
"grad_norm": 0.6742255687713623,
|
| 1009 |
+
"learning_rate": 0.0002,
|
| 1010 |
+
"loss": 0.9047,
|
| 1011 |
+
"step": 1420
|
| 1012 |
+
},
|
| 1013 |
+
{
|
| 1014 |
+
"epoch": 1.9350473612990529,
|
| 1015 |
+
"grad_norm": 0.9301473498344421,
|
| 1016 |
+
"learning_rate": 0.0002,
|
| 1017 |
+
"loss": 0.9837,
|
| 1018 |
+
"step": 1430
|
| 1019 |
+
},
|
| 1020 |
+
{
|
| 1021 |
+
"epoch": 1.9485791610284169,
|
| 1022 |
+
"grad_norm": 0.8039385080337524,
|
| 1023 |
+
"learning_rate": 0.0002,
|
| 1024 |
+
"loss": 0.9579,
|
| 1025 |
+
"step": 1440
|
| 1026 |
+
},
|
| 1027 |
+
{
|
| 1028 |
+
"epoch": 1.962110960757781,
|
| 1029 |
+
"grad_norm": 0.7449126839637756,
|
| 1030 |
+
"learning_rate": 0.0002,
|
| 1031 |
+
"loss": 0.9433,
|
| 1032 |
+
"step": 1450
|
| 1033 |
+
},
|
| 1034 |
+
{
|
| 1035 |
+
"epoch": 1.975642760487145,
|
| 1036 |
+
"grad_norm": 1.8016695976257324,
|
| 1037 |
+
"learning_rate": 0.0002,
|
| 1038 |
+
"loss": 0.9424,
|
| 1039 |
+
"step": 1460
|
| 1040 |
+
},
|
| 1041 |
+
{
|
| 1042 |
+
"epoch": 1.989174560216509,
|
| 1043 |
+
"grad_norm": 1.3347259759902954,
|
| 1044 |
+
"learning_rate": 0.0002,
|
| 1045 |
+
"loss": 0.9434,
|
| 1046 |
+
"step": 1470
|
| 1047 |
+
},
|
| 1048 |
+
{
|
| 1049 |
+
"epoch": 2.0,
|
| 1050 |
+
"eval_loss": 1.28184974193573,
|
| 1051 |
+
"eval_runtime": 54.9872,
|
| 1052 |
+
"eval_samples_per_second": 8.293,
|
| 1053 |
+
"eval_steps_per_second": 1.037,
|
| 1054 |
+
"step": 1478
|
| 1055 |
+
}
|
| 1056 |
+
],
|
| 1057 |
+
"logging_steps": 10,
|
| 1058 |
+
"max_steps": 5912,
|
| 1059 |
+
"num_input_tokens_seen": 0,
|
| 1060 |
+
"num_train_epochs": 8,
|
| 1061 |
+
"save_steps": 200,
|
| 1062 |
+
"stateful_callbacks": {
|
| 1063 |
+
"TrainerControl": {
|
| 1064 |
+
"args": {
|
| 1065 |
+
"should_epoch_stop": false,
|
| 1066 |
+
"should_evaluate": false,
|
| 1067 |
+
"should_log": false,
|
| 1068 |
+
"should_save": true,
|
| 1069 |
+
"should_training_stop": false
|
| 1070 |
+
},
|
| 1071 |
+
"attributes": {}
|
| 1072 |
+
}
|
| 1073 |
+
},
|
| 1074 |
+
"total_flos": 6.48468460732416e+16,
|
| 1075 |
+
"train_batch_size": 1,
|
| 1076 |
+
"trial_name": null,
|
| 1077 |
+
"trial_params": null
|
| 1078 |
+
}
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-1478/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e9c0e60ee7ec9d35429ff5330b6a72628063da6a9c843e01fa8c503c2ba1303f
|
| 3 |
+
size 5624
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-2217/README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: mistralai/Mistral-7B-Instruct-v0.3
|
| 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
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-2217/adapter_config.json
ADDED
|
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.3",
|
| 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 |
+
"q_proj",
|
| 24 |
+
"v_proj"
|
| 25 |
+
],
|
| 26 |
+
"task_type": "CAUSAL_LM",
|
| 27 |
+
"use_dora": false,
|
| 28 |
+
"use_rslora": false
|
| 29 |
+
}
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-2217/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:71a6704132ed2c4dd0aa66313a92b65f87647244f514b4fdbae8ff47504b3ced
|
| 3 |
+
size 109069176
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-2217/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:078d223fdedd86e4629bbdc96960f3e0544c28e30511d4cf3fd39b351b1a8e28
|
| 3 |
+
size 55532666
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-2217/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:50ca2f4bcec4bc0625780e16ebdd8004300ebde5f39c5363d49a2ce5a8cb507c
|
| 3 |
+
size 14244
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-2217/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a55b0153b394031eb5cf421dcf9a4ccfd985b2991cd2bddd6697482b10d42a60
|
| 3 |
+
size 1064
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-2217/special_tokens_map.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<s>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"eos_token": {
|
| 10 |
+
"content": "</s>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": "</s>",
|
| 17 |
+
"unk_token": {
|
| 18 |
+
"content": "<unk>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
}
|
| 24 |
+
}
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-2217/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-2217/tokenizer.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:37f00374dea48658ee8f5d0f21895b9bc55cb0103939607c8185bfd1c6ca1f89
|
| 3 |
+
size 587404
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-2217/tokenizer_config.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-2217/trainer_state.json
ADDED
|
@@ -0,0 +1,1604 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 1.28184974193573,
|
| 3 |
+
"best_model_checkpoint": "outputs-001/Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-1478",
|
| 4 |
+
"epoch": 3.0,
|
| 5 |
+
"eval_steps": 10,
|
| 6 |
+
"global_step": 2217,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.013531799729364006,
|
| 13 |
+
"grad_norm": 1.1050695180892944,
|
| 14 |
+
"learning_rate": 0.0002,
|
| 15 |
+
"loss": 1.9104,
|
| 16 |
+
"step": 10
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.02706359945872801,
|
| 20 |
+
"grad_norm": 1.2463239431381226,
|
| 21 |
+
"learning_rate": 0.0002,
|
| 22 |
+
"loss": 1.6832,
|
| 23 |
+
"step": 20
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.04059539918809202,
|
| 27 |
+
"grad_norm": 1.193475604057312,
|
| 28 |
+
"learning_rate": 0.0002,
|
| 29 |
+
"loss": 1.4273,
|
| 30 |
+
"step": 30
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.05412719891745602,
|
| 34 |
+
"grad_norm": 0.7777265310287476,
|
| 35 |
+
"learning_rate": 0.0002,
|
| 36 |
+
"loss": 1.4369,
|
| 37 |
+
"step": 40
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.06765899864682003,
|
| 41 |
+
"grad_norm": 1.4079619646072388,
|
| 42 |
+
"learning_rate": 0.0002,
|
| 43 |
+
"loss": 1.3618,
|
| 44 |
+
"step": 50
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.08119079837618404,
|
| 48 |
+
"grad_norm": 0.9451370239257812,
|
| 49 |
+
"learning_rate": 0.0002,
|
| 50 |
+
"loss": 1.2639,
|
| 51 |
+
"step": 60
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.09472259810554803,
|
| 55 |
+
"grad_norm": 0.7137989401817322,
|
| 56 |
+
"learning_rate": 0.0002,
|
| 57 |
+
"loss": 1.2494,
|
| 58 |
+
"step": 70
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.10825439783491204,
|
| 62 |
+
"grad_norm": 0.5521688461303711,
|
| 63 |
+
"learning_rate": 0.0002,
|
| 64 |
+
"loss": 1.1309,
|
| 65 |
+
"step": 80
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.12178619756427606,
|
| 69 |
+
"grad_norm": 0.8050252795219421,
|
| 70 |
+
"learning_rate": 0.0002,
|
| 71 |
+
"loss": 1.2882,
|
| 72 |
+
"step": 90
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.13531799729364005,
|
| 76 |
+
"grad_norm": 0.6771517992019653,
|
| 77 |
+
"learning_rate": 0.0002,
|
| 78 |
+
"loss": 1.2237,
|
| 79 |
+
"step": 100
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.14884979702300405,
|
| 83 |
+
"grad_norm": 0.8056462407112122,
|
| 84 |
+
"learning_rate": 0.0002,
|
| 85 |
+
"loss": 1.2265,
|
| 86 |
+
"step": 110
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.16238159675236807,
|
| 90 |
+
"grad_norm": 0.7240928411483765,
|
| 91 |
+
"learning_rate": 0.0002,
|
| 92 |
+
"loss": 1.3218,
|
| 93 |
+
"step": 120
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.17591339648173207,
|
| 97 |
+
"grad_norm": 0.5310224294662476,
|
| 98 |
+
"learning_rate": 0.0002,
|
| 99 |
+
"loss": 1.0812,
|
| 100 |
+
"step": 130
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.18944519621109607,
|
| 104 |
+
"grad_norm": 0.5730571150779724,
|
| 105 |
+
"learning_rate": 0.0002,
|
| 106 |
+
"loss": 1.2196,
|
| 107 |
+
"step": 140
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.2029769959404601,
|
| 111 |
+
"grad_norm": 0.5288769006729126,
|
| 112 |
+
"learning_rate": 0.0002,
|
| 113 |
+
"loss": 1.3183,
|
| 114 |
+
"step": 150
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.2165087956698241,
|
| 118 |
+
"grad_norm": 0.5447443723678589,
|
| 119 |
+
"learning_rate": 0.0002,
|
| 120 |
+
"loss": 1.1886,
|
| 121 |
+
"step": 160
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.23004059539918809,
|
| 125 |
+
"grad_norm": 2.2740917205810547,
|
| 126 |
+
"learning_rate": 0.0002,
|
| 127 |
+
"loss": 1.1994,
|
| 128 |
+
"step": 170
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.2435723951285521,
|
| 132 |
+
"grad_norm": 0.6200950741767883,
|
| 133 |
+
"learning_rate": 0.0002,
|
| 134 |
+
"loss": 1.2398,
|
| 135 |
+
"step": 180
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.2571041948579161,
|
| 139 |
+
"grad_norm": 1.1782610416412354,
|
| 140 |
+
"learning_rate": 0.0002,
|
| 141 |
+
"loss": 1.2827,
|
| 142 |
+
"step": 190
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.2706359945872801,
|
| 146 |
+
"grad_norm": 0.7893068194389343,
|
| 147 |
+
"learning_rate": 0.0002,
|
| 148 |
+
"loss": 1.1697,
|
| 149 |
+
"step": 200
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.28416779431664413,
|
| 153 |
+
"grad_norm": 0.5421761274337769,
|
| 154 |
+
"learning_rate": 0.0002,
|
| 155 |
+
"loss": 1.221,
|
| 156 |
+
"step": 210
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.2976995940460081,
|
| 160 |
+
"grad_norm": 0.5460169315338135,
|
| 161 |
+
"learning_rate": 0.0002,
|
| 162 |
+
"loss": 1.2019,
|
| 163 |
+
"step": 220
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.3112313937753721,
|
| 167 |
+
"grad_norm": 0.5957289934158325,
|
| 168 |
+
"learning_rate": 0.0002,
|
| 169 |
+
"loss": 1.1363,
|
| 170 |
+
"step": 230
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.32476319350473615,
|
| 174 |
+
"grad_norm": 0.745093047618866,
|
| 175 |
+
"learning_rate": 0.0002,
|
| 176 |
+
"loss": 1.2545,
|
| 177 |
+
"step": 240
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.3382949932341001,
|
| 181 |
+
"grad_norm": 0.622627317905426,
|
| 182 |
+
"learning_rate": 0.0002,
|
| 183 |
+
"loss": 1.2408,
|
| 184 |
+
"step": 250
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 0.35182679296346414,
|
| 188 |
+
"grad_norm": 0.5773138999938965,
|
| 189 |
+
"learning_rate": 0.0002,
|
| 190 |
+
"loss": 1.3083,
|
| 191 |
+
"step": 260
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.36535859269282817,
|
| 195 |
+
"grad_norm": 1.104275107383728,
|
| 196 |
+
"learning_rate": 0.0002,
|
| 197 |
+
"loss": 1.0475,
|
| 198 |
+
"step": 270
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 0.37889039242219213,
|
| 202 |
+
"grad_norm": 0.5755344033241272,
|
| 203 |
+
"learning_rate": 0.0002,
|
| 204 |
+
"loss": 1.0988,
|
| 205 |
+
"step": 280
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 0.39242219215155616,
|
| 209 |
+
"grad_norm": 0.5885311961174011,
|
| 210 |
+
"learning_rate": 0.0002,
|
| 211 |
+
"loss": 1.2215,
|
| 212 |
+
"step": 290
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.4059539918809202,
|
| 216 |
+
"grad_norm": 1.448182225227356,
|
| 217 |
+
"learning_rate": 0.0002,
|
| 218 |
+
"loss": 1.2099,
|
| 219 |
+
"step": 300
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.41948579161028415,
|
| 223 |
+
"grad_norm": 0.5983599424362183,
|
| 224 |
+
"learning_rate": 0.0002,
|
| 225 |
+
"loss": 1.2114,
|
| 226 |
+
"step": 310
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 0.4330175913396482,
|
| 230 |
+
"grad_norm": 0.5013539791107178,
|
| 231 |
+
"learning_rate": 0.0002,
|
| 232 |
+
"loss": 1.1691,
|
| 233 |
+
"step": 320
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 0.4465493910690122,
|
| 237 |
+
"grad_norm": 0.8935738205909729,
|
| 238 |
+
"learning_rate": 0.0002,
|
| 239 |
+
"loss": 1.138,
|
| 240 |
+
"step": 330
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 0.46008119079837617,
|
| 244 |
+
"grad_norm": 0.5642115473747253,
|
| 245 |
+
"learning_rate": 0.0002,
|
| 246 |
+
"loss": 1.1336,
|
| 247 |
+
"step": 340
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 0.4736129905277402,
|
| 251 |
+
"grad_norm": 0.7897255420684814,
|
| 252 |
+
"learning_rate": 0.0002,
|
| 253 |
+
"loss": 1.2355,
|
| 254 |
+
"step": 350
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 0.4871447902571042,
|
| 258 |
+
"grad_norm": 1.6891459226608276,
|
| 259 |
+
"learning_rate": 0.0002,
|
| 260 |
+
"loss": 1.1067,
|
| 261 |
+
"step": 360
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 0.5006765899864682,
|
| 265 |
+
"grad_norm": 1.1374807357788086,
|
| 266 |
+
"learning_rate": 0.0002,
|
| 267 |
+
"loss": 1.1787,
|
| 268 |
+
"step": 370
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 0.5142083897158322,
|
| 272 |
+
"grad_norm": 0.5355549454689026,
|
| 273 |
+
"learning_rate": 0.0002,
|
| 274 |
+
"loss": 1.1525,
|
| 275 |
+
"step": 380
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 0.5277401894451962,
|
| 279 |
+
"grad_norm": 0.656196653842926,
|
| 280 |
+
"learning_rate": 0.0002,
|
| 281 |
+
"loss": 1.1298,
|
| 282 |
+
"step": 390
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 0.5412719891745602,
|
| 286 |
+
"grad_norm": 0.8692356944084167,
|
| 287 |
+
"learning_rate": 0.0002,
|
| 288 |
+
"loss": 1.1471,
|
| 289 |
+
"step": 400
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 0.5548037889039242,
|
| 293 |
+
"grad_norm": 0.5873697400093079,
|
| 294 |
+
"learning_rate": 0.0002,
|
| 295 |
+
"loss": 0.9781,
|
| 296 |
+
"step": 410
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 0.5683355886332883,
|
| 300 |
+
"grad_norm": 0.8922758102416992,
|
| 301 |
+
"learning_rate": 0.0002,
|
| 302 |
+
"loss": 1.1841,
|
| 303 |
+
"step": 420
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 0.5818673883626523,
|
| 307 |
+
"grad_norm": 0.5048012733459473,
|
| 308 |
+
"learning_rate": 0.0002,
|
| 309 |
+
"loss": 1.184,
|
| 310 |
+
"step": 430
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 0.5953991880920162,
|
| 314 |
+
"grad_norm": 0.603631317615509,
|
| 315 |
+
"learning_rate": 0.0002,
|
| 316 |
+
"loss": 1.3276,
|
| 317 |
+
"step": 440
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 0.6089309878213802,
|
| 321 |
+
"grad_norm": 0.5635734796524048,
|
| 322 |
+
"learning_rate": 0.0002,
|
| 323 |
+
"loss": 1.0459,
|
| 324 |
+
"step": 450
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 0.6224627875507442,
|
| 328 |
+
"grad_norm": 0.7483186721801758,
|
| 329 |
+
"learning_rate": 0.0002,
|
| 330 |
+
"loss": 1.1549,
|
| 331 |
+
"step": 460
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 0.6359945872801083,
|
| 335 |
+
"grad_norm": 0.5372456312179565,
|
| 336 |
+
"learning_rate": 0.0002,
|
| 337 |
+
"loss": 1.1141,
|
| 338 |
+
"step": 470
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 0.6495263870094723,
|
| 342 |
+
"grad_norm": 0.9461246728897095,
|
| 343 |
+
"learning_rate": 0.0002,
|
| 344 |
+
"loss": 1.2966,
|
| 345 |
+
"step": 480
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 0.6630581867388363,
|
| 349 |
+
"grad_norm": 0.7017379403114319,
|
| 350 |
+
"learning_rate": 0.0002,
|
| 351 |
+
"loss": 1.1226,
|
| 352 |
+
"step": 490
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 0.6765899864682002,
|
| 356 |
+
"grad_norm": 1.6177887916564941,
|
| 357 |
+
"learning_rate": 0.0002,
|
| 358 |
+
"loss": 1.2138,
|
| 359 |
+
"step": 500
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 0.6901217861975643,
|
| 363 |
+
"grad_norm": 0.4857328236103058,
|
| 364 |
+
"learning_rate": 0.0002,
|
| 365 |
+
"loss": 1.0716,
|
| 366 |
+
"step": 510
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 0.7036535859269283,
|
| 370 |
+
"grad_norm": 1.0545706748962402,
|
| 371 |
+
"learning_rate": 0.0002,
|
| 372 |
+
"loss": 1.2898,
|
| 373 |
+
"step": 520
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 0.7171853856562923,
|
| 377 |
+
"grad_norm": 0.7486541867256165,
|
| 378 |
+
"learning_rate": 0.0002,
|
| 379 |
+
"loss": 1.2527,
|
| 380 |
+
"step": 530
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 0.7307171853856563,
|
| 384 |
+
"grad_norm": 0.6588427424430847,
|
| 385 |
+
"learning_rate": 0.0002,
|
| 386 |
+
"loss": 1.0634,
|
| 387 |
+
"step": 540
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 0.7442489851150202,
|
| 391 |
+
"grad_norm": 0.9485914707183838,
|
| 392 |
+
"learning_rate": 0.0002,
|
| 393 |
+
"loss": 1.0988,
|
| 394 |
+
"step": 550
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 0.7577807848443843,
|
| 398 |
+
"grad_norm": 0.7465947866439819,
|
| 399 |
+
"learning_rate": 0.0002,
|
| 400 |
+
"loss": 1.1933,
|
| 401 |
+
"step": 560
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 0.7713125845737483,
|
| 405 |
+
"grad_norm": 0.6392837166786194,
|
| 406 |
+
"learning_rate": 0.0002,
|
| 407 |
+
"loss": 1.0927,
|
| 408 |
+
"step": 570
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 0.7848443843031123,
|
| 412 |
+
"grad_norm": 0.4898282587528229,
|
| 413 |
+
"learning_rate": 0.0002,
|
| 414 |
+
"loss": 1.14,
|
| 415 |
+
"step": 580
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
"epoch": 0.7983761840324763,
|
| 419 |
+
"grad_norm": 0.5636171102523804,
|
| 420 |
+
"learning_rate": 0.0002,
|
| 421 |
+
"loss": 1.0425,
|
| 422 |
+
"step": 590
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 0.8119079837618404,
|
| 426 |
+
"grad_norm": 0.6637675166130066,
|
| 427 |
+
"learning_rate": 0.0002,
|
| 428 |
+
"loss": 1.0717,
|
| 429 |
+
"step": 600
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 0.8254397834912043,
|
| 433 |
+
"grad_norm": 1.1842738389968872,
|
| 434 |
+
"learning_rate": 0.0002,
|
| 435 |
+
"loss": 1.1204,
|
| 436 |
+
"step": 610
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"epoch": 0.8389715832205683,
|
| 440 |
+
"grad_norm": 0.5699004530906677,
|
| 441 |
+
"learning_rate": 0.0002,
|
| 442 |
+
"loss": 1.083,
|
| 443 |
+
"step": 620
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 0.8525033829499323,
|
| 447 |
+
"grad_norm": 0.7748669385910034,
|
| 448 |
+
"learning_rate": 0.0002,
|
| 449 |
+
"loss": 1.153,
|
| 450 |
+
"step": 630
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 0.8660351826792964,
|
| 454 |
+
"grad_norm": 0.7987180352210999,
|
| 455 |
+
"learning_rate": 0.0002,
|
| 456 |
+
"loss": 1.141,
|
| 457 |
+
"step": 640
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"epoch": 0.8795669824086604,
|
| 461 |
+
"grad_norm": 1.0740629434585571,
|
| 462 |
+
"learning_rate": 0.0002,
|
| 463 |
+
"loss": 1.0949,
|
| 464 |
+
"step": 650
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 0.8930987821380244,
|
| 468 |
+
"grad_norm": 0.731082022190094,
|
| 469 |
+
"learning_rate": 0.0002,
|
| 470 |
+
"loss": 1.0503,
|
| 471 |
+
"step": 660
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 0.9066305818673883,
|
| 475 |
+
"grad_norm": 0.9066846966743469,
|
| 476 |
+
"learning_rate": 0.0002,
|
| 477 |
+
"loss": 1.1075,
|
| 478 |
+
"step": 670
|
| 479 |
+
},
|
| 480 |
+
{
|
| 481 |
+
"epoch": 0.9201623815967523,
|
| 482 |
+
"grad_norm": 0.9934597015380859,
|
| 483 |
+
"learning_rate": 0.0002,
|
| 484 |
+
"loss": 1.0516,
|
| 485 |
+
"step": 680
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 0.9336941813261164,
|
| 489 |
+
"grad_norm": 0.7975896000862122,
|
| 490 |
+
"learning_rate": 0.0002,
|
| 491 |
+
"loss": 1.0983,
|
| 492 |
+
"step": 690
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"epoch": 0.9472259810554804,
|
| 496 |
+
"grad_norm": 0.9127744436264038,
|
| 497 |
+
"learning_rate": 0.0002,
|
| 498 |
+
"loss": 1.2362,
|
| 499 |
+
"step": 700
|
| 500 |
+
},
|
| 501 |
+
{
|
| 502 |
+
"epoch": 0.9607577807848444,
|
| 503 |
+
"grad_norm": 0.7682064175605774,
|
| 504 |
+
"learning_rate": 0.0002,
|
| 505 |
+
"loss": 1.0273,
|
| 506 |
+
"step": 710
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 0.9742895805142084,
|
| 510 |
+
"grad_norm": 0.9808696508407593,
|
| 511 |
+
"learning_rate": 0.0002,
|
| 512 |
+
"loss": 1.2195,
|
| 513 |
+
"step": 720
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 0.9878213802435724,
|
| 517 |
+
"grad_norm": 1.0826992988586426,
|
| 518 |
+
"learning_rate": 0.0002,
|
| 519 |
+
"loss": 1.0979,
|
| 520 |
+
"step": 730
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"epoch": 1.0,
|
| 524 |
+
"eval_loss": 1.2867646217346191,
|
| 525 |
+
"eval_runtime": 53.6569,
|
| 526 |
+
"eval_samples_per_second": 8.498,
|
| 527 |
+
"eval_steps_per_second": 1.062,
|
| 528 |
+
"step": 739
|
| 529 |
+
},
|
| 530 |
+
{
|
| 531 |
+
"epoch": 1.0013531799729365,
|
| 532 |
+
"grad_norm": 0.6498591303825378,
|
| 533 |
+
"learning_rate": 0.0002,
|
| 534 |
+
"loss": 1.1631,
|
| 535 |
+
"step": 740
|
| 536 |
+
},
|
| 537 |
+
{
|
| 538 |
+
"epoch": 1.0148849797023005,
|
| 539 |
+
"grad_norm": 0.8040738701820374,
|
| 540 |
+
"learning_rate": 0.0002,
|
| 541 |
+
"loss": 1.0737,
|
| 542 |
+
"step": 750
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"epoch": 1.0284167794316643,
|
| 546 |
+
"grad_norm": 0.7280412912368774,
|
| 547 |
+
"learning_rate": 0.0002,
|
| 548 |
+
"loss": 1.03,
|
| 549 |
+
"step": 760
|
| 550 |
+
},
|
| 551 |
+
{
|
| 552 |
+
"epoch": 1.0419485791610283,
|
| 553 |
+
"grad_norm": 0.672149121761322,
|
| 554 |
+
"learning_rate": 0.0002,
|
| 555 |
+
"loss": 0.9603,
|
| 556 |
+
"step": 770
|
| 557 |
+
},
|
| 558 |
+
{
|
| 559 |
+
"epoch": 1.0554803788903924,
|
| 560 |
+
"grad_norm": 1.1186308860778809,
|
| 561 |
+
"learning_rate": 0.0002,
|
| 562 |
+
"loss": 0.997,
|
| 563 |
+
"step": 780
|
| 564 |
+
},
|
| 565 |
+
{
|
| 566 |
+
"epoch": 1.0690121786197564,
|
| 567 |
+
"grad_norm": 0.9073583483695984,
|
| 568 |
+
"learning_rate": 0.0002,
|
| 569 |
+
"loss": 0.9088,
|
| 570 |
+
"step": 790
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 1.0825439783491204,
|
| 574 |
+
"grad_norm": 0.6135605573654175,
|
| 575 |
+
"learning_rate": 0.0002,
|
| 576 |
+
"loss": 0.9413,
|
| 577 |
+
"step": 800
|
| 578 |
+
},
|
| 579 |
+
{
|
| 580 |
+
"epoch": 1.0960757780784844,
|
| 581 |
+
"grad_norm": 0.5854787826538086,
|
| 582 |
+
"learning_rate": 0.0002,
|
| 583 |
+
"loss": 0.9024,
|
| 584 |
+
"step": 810
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 1.1096075778078485,
|
| 588 |
+
"grad_norm": 0.9077727794647217,
|
| 589 |
+
"learning_rate": 0.0002,
|
| 590 |
+
"loss": 1.0176,
|
| 591 |
+
"step": 820
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 1.1231393775372125,
|
| 595 |
+
"grad_norm": 0.7072564363479614,
|
| 596 |
+
"learning_rate": 0.0002,
|
| 597 |
+
"loss": 0.9489,
|
| 598 |
+
"step": 830
|
| 599 |
+
},
|
| 600 |
+
{
|
| 601 |
+
"epoch": 1.1366711772665765,
|
| 602 |
+
"grad_norm": 0.9457924365997314,
|
| 603 |
+
"learning_rate": 0.0002,
|
| 604 |
+
"loss": 0.9275,
|
| 605 |
+
"step": 840
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 1.1502029769959405,
|
| 609 |
+
"grad_norm": 0.9216122031211853,
|
| 610 |
+
"learning_rate": 0.0002,
|
| 611 |
+
"loss": 0.9998,
|
| 612 |
+
"step": 850
|
| 613 |
+
},
|
| 614 |
+
{
|
| 615 |
+
"epoch": 1.1637347767253043,
|
| 616 |
+
"grad_norm": 1.0899791717529297,
|
| 617 |
+
"learning_rate": 0.0002,
|
| 618 |
+
"loss": 0.9803,
|
| 619 |
+
"step": 860
|
| 620 |
+
},
|
| 621 |
+
{
|
| 622 |
+
"epoch": 1.1772665764546684,
|
| 623 |
+
"grad_norm": 0.8594662547111511,
|
| 624 |
+
"learning_rate": 0.0002,
|
| 625 |
+
"loss": 1.0419,
|
| 626 |
+
"step": 870
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 1.1907983761840324,
|
| 630 |
+
"grad_norm": 0.8680914640426636,
|
| 631 |
+
"learning_rate": 0.0002,
|
| 632 |
+
"loss": 0.9513,
|
| 633 |
+
"step": 880
|
| 634 |
+
},
|
| 635 |
+
{
|
| 636 |
+
"epoch": 1.2043301759133964,
|
| 637 |
+
"grad_norm": 0.5579341650009155,
|
| 638 |
+
"learning_rate": 0.0002,
|
| 639 |
+
"loss": 0.9695,
|
| 640 |
+
"step": 890
|
| 641 |
+
},
|
| 642 |
+
{
|
| 643 |
+
"epoch": 1.2178619756427604,
|
| 644 |
+
"grad_norm": 0.8556986451148987,
|
| 645 |
+
"learning_rate": 0.0002,
|
| 646 |
+
"loss": 1.0153,
|
| 647 |
+
"step": 900
|
| 648 |
+
},
|
| 649 |
+
{
|
| 650 |
+
"epoch": 1.2313937753721245,
|
| 651 |
+
"grad_norm": 1.8943263292312622,
|
| 652 |
+
"learning_rate": 0.0002,
|
| 653 |
+
"loss": 0.9589,
|
| 654 |
+
"step": 910
|
| 655 |
+
},
|
| 656 |
+
{
|
| 657 |
+
"epoch": 1.2449255751014885,
|
| 658 |
+
"grad_norm": 0.7652221918106079,
|
| 659 |
+
"learning_rate": 0.0002,
|
| 660 |
+
"loss": 0.9554,
|
| 661 |
+
"step": 920
|
| 662 |
+
},
|
| 663 |
+
{
|
| 664 |
+
"epoch": 1.2584573748308525,
|
| 665 |
+
"grad_norm": 0.6921482086181641,
|
| 666 |
+
"learning_rate": 0.0002,
|
| 667 |
+
"loss": 0.955,
|
| 668 |
+
"step": 930
|
| 669 |
+
},
|
| 670 |
+
{
|
| 671 |
+
"epoch": 1.2719891745602165,
|
| 672 |
+
"grad_norm": 0.7211646437644958,
|
| 673 |
+
"learning_rate": 0.0002,
|
| 674 |
+
"loss": 1.0335,
|
| 675 |
+
"step": 940
|
| 676 |
+
},
|
| 677 |
+
{
|
| 678 |
+
"epoch": 1.2855209742895806,
|
| 679 |
+
"grad_norm": 0.9096421599388123,
|
| 680 |
+
"learning_rate": 0.0002,
|
| 681 |
+
"loss": 1.0597,
|
| 682 |
+
"step": 950
|
| 683 |
+
},
|
| 684 |
+
{
|
| 685 |
+
"epoch": 1.2990527740189446,
|
| 686 |
+
"grad_norm": 0.743715226650238,
|
| 687 |
+
"learning_rate": 0.0002,
|
| 688 |
+
"loss": 1.1143,
|
| 689 |
+
"step": 960
|
| 690 |
+
},
|
| 691 |
+
{
|
| 692 |
+
"epoch": 1.3125845737483086,
|
| 693 |
+
"grad_norm": 0.9247064590454102,
|
| 694 |
+
"learning_rate": 0.0002,
|
| 695 |
+
"loss": 0.9284,
|
| 696 |
+
"step": 970
|
| 697 |
+
},
|
| 698 |
+
{
|
| 699 |
+
"epoch": 1.3261163734776726,
|
| 700 |
+
"grad_norm": 1.0811798572540283,
|
| 701 |
+
"learning_rate": 0.0002,
|
| 702 |
+
"loss": 0.9534,
|
| 703 |
+
"step": 980
|
| 704 |
+
},
|
| 705 |
+
{
|
| 706 |
+
"epoch": 1.3396481732070367,
|
| 707 |
+
"grad_norm": 0.7317015528678894,
|
| 708 |
+
"learning_rate": 0.0002,
|
| 709 |
+
"loss": 0.9579,
|
| 710 |
+
"step": 990
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"epoch": 1.3531799729364005,
|
| 714 |
+
"grad_norm": 0.8399309515953064,
|
| 715 |
+
"learning_rate": 0.0002,
|
| 716 |
+
"loss": 1.0071,
|
| 717 |
+
"step": 1000
|
| 718 |
+
},
|
| 719 |
+
{
|
| 720 |
+
"epoch": 1.3667117726657645,
|
| 721 |
+
"grad_norm": 1.094558835029602,
|
| 722 |
+
"learning_rate": 0.0002,
|
| 723 |
+
"loss": 0.9483,
|
| 724 |
+
"step": 1010
|
| 725 |
+
},
|
| 726 |
+
{
|
| 727 |
+
"epoch": 1.3802435723951285,
|
| 728 |
+
"grad_norm": 1.3759856224060059,
|
| 729 |
+
"learning_rate": 0.0002,
|
| 730 |
+
"loss": 0.8744,
|
| 731 |
+
"step": 1020
|
| 732 |
+
},
|
| 733 |
+
{
|
| 734 |
+
"epoch": 1.3937753721244925,
|
| 735 |
+
"grad_norm": 0.8855497241020203,
|
| 736 |
+
"learning_rate": 0.0002,
|
| 737 |
+
"loss": 0.915,
|
| 738 |
+
"step": 1030
|
| 739 |
+
},
|
| 740 |
+
{
|
| 741 |
+
"epoch": 1.4073071718538566,
|
| 742 |
+
"grad_norm": 3.6836671829223633,
|
| 743 |
+
"learning_rate": 0.0002,
|
| 744 |
+
"loss": 0.9236,
|
| 745 |
+
"step": 1040
|
| 746 |
+
},
|
| 747 |
+
{
|
| 748 |
+
"epoch": 1.4208389715832206,
|
| 749 |
+
"grad_norm": 1.1119214296340942,
|
| 750 |
+
"learning_rate": 0.0002,
|
| 751 |
+
"loss": 0.8975,
|
| 752 |
+
"step": 1050
|
| 753 |
+
},
|
| 754 |
+
{
|
| 755 |
+
"epoch": 1.4343707713125846,
|
| 756 |
+
"grad_norm": 0.8871118426322937,
|
| 757 |
+
"learning_rate": 0.0002,
|
| 758 |
+
"loss": 0.9381,
|
| 759 |
+
"step": 1060
|
| 760 |
+
},
|
| 761 |
+
{
|
| 762 |
+
"epoch": 1.4479025710419486,
|
| 763 |
+
"grad_norm": 0.9937213063240051,
|
| 764 |
+
"learning_rate": 0.0002,
|
| 765 |
+
"loss": 0.9091,
|
| 766 |
+
"step": 1070
|
| 767 |
+
},
|
| 768 |
+
{
|
| 769 |
+
"epoch": 1.4614343707713127,
|
| 770 |
+
"grad_norm": 0.7206485867500305,
|
| 771 |
+
"learning_rate": 0.0002,
|
| 772 |
+
"loss": 0.9923,
|
| 773 |
+
"step": 1080
|
| 774 |
+
},
|
| 775 |
+
{
|
| 776 |
+
"epoch": 1.4749661705006765,
|
| 777 |
+
"grad_norm": 0.8442404866218567,
|
| 778 |
+
"learning_rate": 0.0002,
|
| 779 |
+
"loss": 0.951,
|
| 780 |
+
"step": 1090
|
| 781 |
+
},
|
| 782 |
+
{
|
| 783 |
+
"epoch": 1.4884979702300405,
|
| 784 |
+
"grad_norm": 0.9265049695968628,
|
| 785 |
+
"learning_rate": 0.0002,
|
| 786 |
+
"loss": 0.8609,
|
| 787 |
+
"step": 1100
|
| 788 |
+
},
|
| 789 |
+
{
|
| 790 |
+
"epoch": 1.5020297699594045,
|
| 791 |
+
"grad_norm": 1.1033650636672974,
|
| 792 |
+
"learning_rate": 0.0002,
|
| 793 |
+
"loss": 1.0021,
|
| 794 |
+
"step": 1110
|
| 795 |
+
},
|
| 796 |
+
{
|
| 797 |
+
"epoch": 1.5155615696887685,
|
| 798 |
+
"grad_norm": 0.7876176834106445,
|
| 799 |
+
"learning_rate": 0.0002,
|
| 800 |
+
"loss": 1.004,
|
| 801 |
+
"step": 1120
|
| 802 |
+
},
|
| 803 |
+
{
|
| 804 |
+
"epoch": 1.5290933694181326,
|
| 805 |
+
"grad_norm": 0.7761271595954895,
|
| 806 |
+
"learning_rate": 0.0002,
|
| 807 |
+
"loss": 0.9555,
|
| 808 |
+
"step": 1130
|
| 809 |
+
},
|
| 810 |
+
{
|
| 811 |
+
"epoch": 1.5426251691474966,
|
| 812 |
+
"grad_norm": 1.0603803396224976,
|
| 813 |
+
"learning_rate": 0.0002,
|
| 814 |
+
"loss": 0.9569,
|
| 815 |
+
"step": 1140
|
| 816 |
+
},
|
| 817 |
+
{
|
| 818 |
+
"epoch": 1.5561569688768606,
|
| 819 |
+
"grad_norm": 0.7715556621551514,
|
| 820 |
+
"learning_rate": 0.0002,
|
| 821 |
+
"loss": 0.9842,
|
| 822 |
+
"step": 1150
|
| 823 |
+
},
|
| 824 |
+
{
|
| 825 |
+
"epoch": 1.5696887686062246,
|
| 826 |
+
"grad_norm": 0.6591511368751526,
|
| 827 |
+
"learning_rate": 0.0002,
|
| 828 |
+
"loss": 0.898,
|
| 829 |
+
"step": 1160
|
| 830 |
+
},
|
| 831 |
+
{
|
| 832 |
+
"epoch": 1.5832205683355887,
|
| 833 |
+
"grad_norm": 1.1773475408554077,
|
| 834 |
+
"learning_rate": 0.0002,
|
| 835 |
+
"loss": 0.9584,
|
| 836 |
+
"step": 1170
|
| 837 |
+
},
|
| 838 |
+
{
|
| 839 |
+
"epoch": 1.5967523680649527,
|
| 840 |
+
"grad_norm": 0.8513862490653992,
|
| 841 |
+
"learning_rate": 0.0002,
|
| 842 |
+
"loss": 0.9229,
|
| 843 |
+
"step": 1180
|
| 844 |
+
},
|
| 845 |
+
{
|
| 846 |
+
"epoch": 1.6102841677943167,
|
| 847 |
+
"grad_norm": 1.0796581506729126,
|
| 848 |
+
"learning_rate": 0.0002,
|
| 849 |
+
"loss": 0.9577,
|
| 850 |
+
"step": 1190
|
| 851 |
+
},
|
| 852 |
+
{
|
| 853 |
+
"epoch": 1.6238159675236807,
|
| 854 |
+
"grad_norm": 0.8897230625152588,
|
| 855 |
+
"learning_rate": 0.0002,
|
| 856 |
+
"loss": 0.9698,
|
| 857 |
+
"step": 1200
|
| 858 |
+
},
|
| 859 |
+
{
|
| 860 |
+
"epoch": 1.6373477672530448,
|
| 861 |
+
"grad_norm": 1.4640971422195435,
|
| 862 |
+
"learning_rate": 0.0002,
|
| 863 |
+
"loss": 0.9295,
|
| 864 |
+
"step": 1210
|
| 865 |
+
},
|
| 866 |
+
{
|
| 867 |
+
"epoch": 1.6508795669824088,
|
| 868 |
+
"grad_norm": 1.123056173324585,
|
| 869 |
+
"learning_rate": 0.0002,
|
| 870 |
+
"loss": 1.003,
|
| 871 |
+
"step": 1220
|
| 872 |
+
},
|
| 873 |
+
{
|
| 874 |
+
"epoch": 1.6644113667117728,
|
| 875 |
+
"grad_norm": 1.1064175367355347,
|
| 876 |
+
"learning_rate": 0.0002,
|
| 877 |
+
"loss": 0.9524,
|
| 878 |
+
"step": 1230
|
| 879 |
+
},
|
| 880 |
+
{
|
| 881 |
+
"epoch": 1.6779431664411368,
|
| 882 |
+
"grad_norm": 2.4434642791748047,
|
| 883 |
+
"learning_rate": 0.0002,
|
| 884 |
+
"loss": 0.8896,
|
| 885 |
+
"step": 1240
|
| 886 |
+
},
|
| 887 |
+
{
|
| 888 |
+
"epoch": 1.6914749661705006,
|
| 889 |
+
"grad_norm": 1.0455760955810547,
|
| 890 |
+
"learning_rate": 0.0002,
|
| 891 |
+
"loss": 0.9899,
|
| 892 |
+
"step": 1250
|
| 893 |
+
},
|
| 894 |
+
{
|
| 895 |
+
"epoch": 1.7050067658998647,
|
| 896 |
+
"grad_norm": 1.1007593870162964,
|
| 897 |
+
"learning_rate": 0.0002,
|
| 898 |
+
"loss": 0.9032,
|
| 899 |
+
"step": 1260
|
| 900 |
+
},
|
| 901 |
+
{
|
| 902 |
+
"epoch": 1.7185385656292287,
|
| 903 |
+
"grad_norm": 1.2697606086730957,
|
| 904 |
+
"learning_rate": 0.0002,
|
| 905 |
+
"loss": 0.9226,
|
| 906 |
+
"step": 1270
|
| 907 |
+
},
|
| 908 |
+
{
|
| 909 |
+
"epoch": 1.7320703653585927,
|
| 910 |
+
"grad_norm": 1.1537855863571167,
|
| 911 |
+
"learning_rate": 0.0002,
|
| 912 |
+
"loss": 0.8771,
|
| 913 |
+
"step": 1280
|
| 914 |
+
},
|
| 915 |
+
{
|
| 916 |
+
"epoch": 1.7456021650879567,
|
| 917 |
+
"grad_norm": 0.9637187719345093,
|
| 918 |
+
"learning_rate": 0.0002,
|
| 919 |
+
"loss": 0.8655,
|
| 920 |
+
"step": 1290
|
| 921 |
+
},
|
| 922 |
+
{
|
| 923 |
+
"epoch": 1.7591339648173205,
|
| 924 |
+
"grad_norm": 1.1610347032546997,
|
| 925 |
+
"learning_rate": 0.0002,
|
| 926 |
+
"loss": 0.9641,
|
| 927 |
+
"step": 1300
|
| 928 |
+
},
|
| 929 |
+
{
|
| 930 |
+
"epoch": 1.7726657645466846,
|
| 931 |
+
"grad_norm": 0.717607319355011,
|
| 932 |
+
"learning_rate": 0.0002,
|
| 933 |
+
"loss": 0.9417,
|
| 934 |
+
"step": 1310
|
| 935 |
+
},
|
| 936 |
+
{
|
| 937 |
+
"epoch": 1.7861975642760486,
|
| 938 |
+
"grad_norm": 1.753371238708496,
|
| 939 |
+
"learning_rate": 0.0002,
|
| 940 |
+
"loss": 0.8852,
|
| 941 |
+
"step": 1320
|
| 942 |
+
},
|
| 943 |
+
{
|
| 944 |
+
"epoch": 1.7997293640054126,
|
| 945 |
+
"grad_norm": 0.7919637560844421,
|
| 946 |
+
"learning_rate": 0.0002,
|
| 947 |
+
"loss": 1.0327,
|
| 948 |
+
"step": 1330
|
| 949 |
+
},
|
| 950 |
+
{
|
| 951 |
+
"epoch": 1.8132611637347766,
|
| 952 |
+
"grad_norm": 1.1091023683547974,
|
| 953 |
+
"learning_rate": 0.0002,
|
| 954 |
+
"loss": 1.0019,
|
| 955 |
+
"step": 1340
|
| 956 |
+
},
|
| 957 |
+
{
|
| 958 |
+
"epoch": 1.8267929634641407,
|
| 959 |
+
"grad_norm": 0.7157362699508667,
|
| 960 |
+
"learning_rate": 0.0002,
|
| 961 |
+
"loss": 0.9457,
|
| 962 |
+
"step": 1350
|
| 963 |
+
},
|
| 964 |
+
{
|
| 965 |
+
"epoch": 1.8403247631935047,
|
| 966 |
+
"grad_norm": 0.9538856744766235,
|
| 967 |
+
"learning_rate": 0.0002,
|
| 968 |
+
"loss": 0.9818,
|
| 969 |
+
"step": 1360
|
| 970 |
+
},
|
| 971 |
+
{
|
| 972 |
+
"epoch": 1.8538565629228687,
|
| 973 |
+
"grad_norm": 1.689642071723938,
|
| 974 |
+
"learning_rate": 0.0002,
|
| 975 |
+
"loss": 0.9321,
|
| 976 |
+
"step": 1370
|
| 977 |
+
},
|
| 978 |
+
{
|
| 979 |
+
"epoch": 1.8673883626522327,
|
| 980 |
+
"grad_norm": 1.3405762910842896,
|
| 981 |
+
"learning_rate": 0.0002,
|
| 982 |
+
"loss": 0.9577,
|
| 983 |
+
"step": 1380
|
| 984 |
+
},
|
| 985 |
+
{
|
| 986 |
+
"epoch": 1.8809201623815968,
|
| 987 |
+
"grad_norm": 1.187905192375183,
|
| 988 |
+
"learning_rate": 0.0002,
|
| 989 |
+
"loss": 0.9279,
|
| 990 |
+
"step": 1390
|
| 991 |
+
},
|
| 992 |
+
{
|
| 993 |
+
"epoch": 1.8944519621109608,
|
| 994 |
+
"grad_norm": 1.403511643409729,
|
| 995 |
+
"learning_rate": 0.0002,
|
| 996 |
+
"loss": 0.9266,
|
| 997 |
+
"step": 1400
|
| 998 |
+
},
|
| 999 |
+
{
|
| 1000 |
+
"epoch": 1.9079837618403248,
|
| 1001 |
+
"grad_norm": 1.4245457649230957,
|
| 1002 |
+
"learning_rate": 0.0002,
|
| 1003 |
+
"loss": 0.9654,
|
| 1004 |
+
"step": 1410
|
| 1005 |
+
},
|
| 1006 |
+
{
|
| 1007 |
+
"epoch": 1.9215155615696888,
|
| 1008 |
+
"grad_norm": 0.6742255687713623,
|
| 1009 |
+
"learning_rate": 0.0002,
|
| 1010 |
+
"loss": 0.9047,
|
| 1011 |
+
"step": 1420
|
| 1012 |
+
},
|
| 1013 |
+
{
|
| 1014 |
+
"epoch": 1.9350473612990529,
|
| 1015 |
+
"grad_norm": 0.9301473498344421,
|
| 1016 |
+
"learning_rate": 0.0002,
|
| 1017 |
+
"loss": 0.9837,
|
| 1018 |
+
"step": 1430
|
| 1019 |
+
},
|
| 1020 |
+
{
|
| 1021 |
+
"epoch": 1.9485791610284169,
|
| 1022 |
+
"grad_norm": 0.8039385080337524,
|
| 1023 |
+
"learning_rate": 0.0002,
|
| 1024 |
+
"loss": 0.9579,
|
| 1025 |
+
"step": 1440
|
| 1026 |
+
},
|
| 1027 |
+
{
|
| 1028 |
+
"epoch": 1.962110960757781,
|
| 1029 |
+
"grad_norm": 0.7449126839637756,
|
| 1030 |
+
"learning_rate": 0.0002,
|
| 1031 |
+
"loss": 0.9433,
|
| 1032 |
+
"step": 1450
|
| 1033 |
+
},
|
| 1034 |
+
{
|
| 1035 |
+
"epoch": 1.975642760487145,
|
| 1036 |
+
"grad_norm": 1.8016695976257324,
|
| 1037 |
+
"learning_rate": 0.0002,
|
| 1038 |
+
"loss": 0.9424,
|
| 1039 |
+
"step": 1460
|
| 1040 |
+
},
|
| 1041 |
+
{
|
| 1042 |
+
"epoch": 1.989174560216509,
|
| 1043 |
+
"grad_norm": 1.3347259759902954,
|
| 1044 |
+
"learning_rate": 0.0002,
|
| 1045 |
+
"loss": 0.9434,
|
| 1046 |
+
"step": 1470
|
| 1047 |
+
},
|
| 1048 |
+
{
|
| 1049 |
+
"epoch": 2.0,
|
| 1050 |
+
"eval_loss": 1.28184974193573,
|
| 1051 |
+
"eval_runtime": 54.9872,
|
| 1052 |
+
"eval_samples_per_second": 8.293,
|
| 1053 |
+
"eval_steps_per_second": 1.037,
|
| 1054 |
+
"step": 1478
|
| 1055 |
+
},
|
| 1056 |
+
{
|
| 1057 |
+
"epoch": 2.002706359945873,
|
| 1058 |
+
"grad_norm": 1.1238535642623901,
|
| 1059 |
+
"learning_rate": 0.0002,
|
| 1060 |
+
"loss": 0.8667,
|
| 1061 |
+
"step": 1480
|
| 1062 |
+
},
|
| 1063 |
+
{
|
| 1064 |
+
"epoch": 2.016238159675237,
|
| 1065 |
+
"grad_norm": 0.9186404943466187,
|
| 1066 |
+
"learning_rate": 0.0002,
|
| 1067 |
+
"loss": 0.741,
|
| 1068 |
+
"step": 1490
|
| 1069 |
+
},
|
| 1070 |
+
{
|
| 1071 |
+
"epoch": 2.029769959404601,
|
| 1072 |
+
"grad_norm": 1.42500901222229,
|
| 1073 |
+
"learning_rate": 0.0002,
|
| 1074 |
+
"loss": 0.7402,
|
| 1075 |
+
"step": 1500
|
| 1076 |
+
},
|
| 1077 |
+
{
|
| 1078 |
+
"epoch": 2.0433017591339646,
|
| 1079 |
+
"grad_norm": 0.9018896222114563,
|
| 1080 |
+
"learning_rate": 0.0002,
|
| 1081 |
+
"loss": 0.6594,
|
| 1082 |
+
"step": 1510
|
| 1083 |
+
},
|
| 1084 |
+
{
|
| 1085 |
+
"epoch": 2.0568335588633286,
|
| 1086 |
+
"grad_norm": 0.9482589364051819,
|
| 1087 |
+
"learning_rate": 0.0002,
|
| 1088 |
+
"loss": 0.7973,
|
| 1089 |
+
"step": 1520
|
| 1090 |
+
},
|
| 1091 |
+
{
|
| 1092 |
+
"epoch": 2.0703653585926927,
|
| 1093 |
+
"grad_norm": 1.7364821434020996,
|
| 1094 |
+
"learning_rate": 0.0002,
|
| 1095 |
+
"loss": 0.7494,
|
| 1096 |
+
"step": 1530
|
| 1097 |
+
},
|
| 1098 |
+
{
|
| 1099 |
+
"epoch": 2.0838971583220567,
|
| 1100 |
+
"grad_norm": 1.1600096225738525,
|
| 1101 |
+
"learning_rate": 0.0002,
|
| 1102 |
+
"loss": 0.6691,
|
| 1103 |
+
"step": 1540
|
| 1104 |
+
},
|
| 1105 |
+
{
|
| 1106 |
+
"epoch": 2.0974289580514207,
|
| 1107 |
+
"grad_norm": 1.1180989742279053,
|
| 1108 |
+
"learning_rate": 0.0002,
|
| 1109 |
+
"loss": 0.7443,
|
| 1110 |
+
"step": 1550
|
| 1111 |
+
},
|
| 1112 |
+
{
|
| 1113 |
+
"epoch": 2.1109607577807847,
|
| 1114 |
+
"grad_norm": 0.7978046536445618,
|
| 1115 |
+
"learning_rate": 0.0002,
|
| 1116 |
+
"loss": 0.7261,
|
| 1117 |
+
"step": 1560
|
| 1118 |
+
},
|
| 1119 |
+
{
|
| 1120 |
+
"epoch": 2.1244925575101488,
|
| 1121 |
+
"grad_norm": 0.9089515805244446,
|
| 1122 |
+
"learning_rate": 0.0002,
|
| 1123 |
+
"loss": 0.7659,
|
| 1124 |
+
"step": 1570
|
| 1125 |
+
},
|
| 1126 |
+
{
|
| 1127 |
+
"epoch": 2.138024357239513,
|
| 1128 |
+
"grad_norm": 1.2802879810333252,
|
| 1129 |
+
"learning_rate": 0.0002,
|
| 1130 |
+
"loss": 0.7751,
|
| 1131 |
+
"step": 1580
|
| 1132 |
+
},
|
| 1133 |
+
{
|
| 1134 |
+
"epoch": 2.151556156968877,
|
| 1135 |
+
"grad_norm": 1.1321839094161987,
|
| 1136 |
+
"learning_rate": 0.0002,
|
| 1137 |
+
"loss": 0.7744,
|
| 1138 |
+
"step": 1590
|
| 1139 |
+
},
|
| 1140 |
+
{
|
| 1141 |
+
"epoch": 2.165087956698241,
|
| 1142 |
+
"grad_norm": 0.9985150098800659,
|
| 1143 |
+
"learning_rate": 0.0002,
|
| 1144 |
+
"loss": 0.699,
|
| 1145 |
+
"step": 1600
|
| 1146 |
+
},
|
| 1147 |
+
{
|
| 1148 |
+
"epoch": 2.178619756427605,
|
| 1149 |
+
"grad_norm": 1.1864978075027466,
|
| 1150 |
+
"learning_rate": 0.0002,
|
| 1151 |
+
"loss": 0.7497,
|
| 1152 |
+
"step": 1610
|
| 1153 |
+
},
|
| 1154 |
+
{
|
| 1155 |
+
"epoch": 2.192151556156969,
|
| 1156 |
+
"grad_norm": 1.0220770835876465,
|
| 1157 |
+
"learning_rate": 0.0002,
|
| 1158 |
+
"loss": 0.7648,
|
| 1159 |
+
"step": 1620
|
| 1160 |
+
},
|
| 1161 |
+
{
|
| 1162 |
+
"epoch": 2.205683355886333,
|
| 1163 |
+
"grad_norm": 1.075281023979187,
|
| 1164 |
+
"learning_rate": 0.0002,
|
| 1165 |
+
"loss": 0.7786,
|
| 1166 |
+
"step": 1630
|
| 1167 |
+
},
|
| 1168 |
+
{
|
| 1169 |
+
"epoch": 2.219215155615697,
|
| 1170 |
+
"grad_norm": 1.7539390325546265,
|
| 1171 |
+
"learning_rate": 0.0002,
|
| 1172 |
+
"loss": 0.7169,
|
| 1173 |
+
"step": 1640
|
| 1174 |
+
},
|
| 1175 |
+
{
|
| 1176 |
+
"epoch": 2.232746955345061,
|
| 1177 |
+
"grad_norm": 0.9327954053878784,
|
| 1178 |
+
"learning_rate": 0.0002,
|
| 1179 |
+
"loss": 0.7145,
|
| 1180 |
+
"step": 1650
|
| 1181 |
+
},
|
| 1182 |
+
{
|
| 1183 |
+
"epoch": 2.246278755074425,
|
| 1184 |
+
"grad_norm": 1.1239676475524902,
|
| 1185 |
+
"learning_rate": 0.0002,
|
| 1186 |
+
"loss": 0.7096,
|
| 1187 |
+
"step": 1660
|
| 1188 |
+
},
|
| 1189 |
+
{
|
| 1190 |
+
"epoch": 2.259810554803789,
|
| 1191 |
+
"grad_norm": 0.887867271900177,
|
| 1192 |
+
"learning_rate": 0.0002,
|
| 1193 |
+
"loss": 0.7516,
|
| 1194 |
+
"step": 1670
|
| 1195 |
+
},
|
| 1196 |
+
{
|
| 1197 |
+
"epoch": 2.273342354533153,
|
| 1198 |
+
"grad_norm": 0.9934070110321045,
|
| 1199 |
+
"learning_rate": 0.0002,
|
| 1200 |
+
"loss": 0.737,
|
| 1201 |
+
"step": 1680
|
| 1202 |
+
},
|
| 1203 |
+
{
|
| 1204 |
+
"epoch": 2.286874154262517,
|
| 1205 |
+
"grad_norm": 1.1046375036239624,
|
| 1206 |
+
"learning_rate": 0.0002,
|
| 1207 |
+
"loss": 0.7891,
|
| 1208 |
+
"step": 1690
|
| 1209 |
+
},
|
| 1210 |
+
{
|
| 1211 |
+
"epoch": 2.300405953991881,
|
| 1212 |
+
"grad_norm": 1.3520793914794922,
|
| 1213 |
+
"learning_rate": 0.0002,
|
| 1214 |
+
"loss": 0.7123,
|
| 1215 |
+
"step": 1700
|
| 1216 |
+
},
|
| 1217 |
+
{
|
| 1218 |
+
"epoch": 2.313937753721245,
|
| 1219 |
+
"grad_norm": 1.0396424531936646,
|
| 1220 |
+
"learning_rate": 0.0002,
|
| 1221 |
+
"loss": 0.722,
|
| 1222 |
+
"step": 1710
|
| 1223 |
+
},
|
| 1224 |
+
{
|
| 1225 |
+
"epoch": 2.3274695534506087,
|
| 1226 |
+
"grad_norm": 1.312713861465454,
|
| 1227 |
+
"learning_rate": 0.0002,
|
| 1228 |
+
"loss": 0.7645,
|
| 1229 |
+
"step": 1720
|
| 1230 |
+
},
|
| 1231 |
+
{
|
| 1232 |
+
"epoch": 2.3410013531799727,
|
| 1233 |
+
"grad_norm": 1.2425963878631592,
|
| 1234 |
+
"learning_rate": 0.0002,
|
| 1235 |
+
"loss": 0.7743,
|
| 1236 |
+
"step": 1730
|
| 1237 |
+
},
|
| 1238 |
+
{
|
| 1239 |
+
"epoch": 2.3545331529093367,
|
| 1240 |
+
"grad_norm": 1.0335496664047241,
|
| 1241 |
+
"learning_rate": 0.0002,
|
| 1242 |
+
"loss": 0.7069,
|
| 1243 |
+
"step": 1740
|
| 1244 |
+
},
|
| 1245 |
+
{
|
| 1246 |
+
"epoch": 2.3680649526387008,
|
| 1247 |
+
"grad_norm": 0.8289833664894104,
|
| 1248 |
+
"learning_rate": 0.0002,
|
| 1249 |
+
"loss": 0.763,
|
| 1250 |
+
"step": 1750
|
| 1251 |
+
},
|
| 1252 |
+
{
|
| 1253 |
+
"epoch": 2.381596752368065,
|
| 1254 |
+
"grad_norm": 1.1725471019744873,
|
| 1255 |
+
"learning_rate": 0.0002,
|
| 1256 |
+
"loss": 0.749,
|
| 1257 |
+
"step": 1760
|
| 1258 |
+
},
|
| 1259 |
+
{
|
| 1260 |
+
"epoch": 2.395128552097429,
|
| 1261 |
+
"grad_norm": 1.10824716091156,
|
| 1262 |
+
"learning_rate": 0.0002,
|
| 1263 |
+
"loss": 0.7842,
|
| 1264 |
+
"step": 1770
|
| 1265 |
+
},
|
| 1266 |
+
{
|
| 1267 |
+
"epoch": 2.408660351826793,
|
| 1268 |
+
"grad_norm": 1.027957797050476,
|
| 1269 |
+
"learning_rate": 0.0002,
|
| 1270 |
+
"loss": 0.8115,
|
| 1271 |
+
"step": 1780
|
| 1272 |
+
},
|
| 1273 |
+
{
|
| 1274 |
+
"epoch": 2.422192151556157,
|
| 1275 |
+
"grad_norm": 1.4744906425476074,
|
| 1276 |
+
"learning_rate": 0.0002,
|
| 1277 |
+
"loss": 0.7529,
|
| 1278 |
+
"step": 1790
|
| 1279 |
+
},
|
| 1280 |
+
{
|
| 1281 |
+
"epoch": 2.435723951285521,
|
| 1282 |
+
"grad_norm": 2.044746160507202,
|
| 1283 |
+
"learning_rate": 0.0002,
|
| 1284 |
+
"loss": 0.7146,
|
| 1285 |
+
"step": 1800
|
| 1286 |
+
},
|
| 1287 |
+
{
|
| 1288 |
+
"epoch": 2.449255751014885,
|
| 1289 |
+
"grad_norm": 0.9940636157989502,
|
| 1290 |
+
"learning_rate": 0.0002,
|
| 1291 |
+
"loss": 0.6738,
|
| 1292 |
+
"step": 1810
|
| 1293 |
+
},
|
| 1294 |
+
{
|
| 1295 |
+
"epoch": 2.462787550744249,
|
| 1296 |
+
"grad_norm": 1.2338303327560425,
|
| 1297 |
+
"learning_rate": 0.0002,
|
| 1298 |
+
"loss": 0.8233,
|
| 1299 |
+
"step": 1820
|
| 1300 |
+
},
|
| 1301 |
+
{
|
| 1302 |
+
"epoch": 2.476319350473613,
|
| 1303 |
+
"grad_norm": 1.1820061206817627,
|
| 1304 |
+
"learning_rate": 0.0002,
|
| 1305 |
+
"loss": 0.6409,
|
| 1306 |
+
"step": 1830
|
| 1307 |
+
},
|
| 1308 |
+
{
|
| 1309 |
+
"epoch": 2.489851150202977,
|
| 1310 |
+
"grad_norm": 1.5557365417480469,
|
| 1311 |
+
"learning_rate": 0.0002,
|
| 1312 |
+
"loss": 0.7744,
|
| 1313 |
+
"step": 1840
|
| 1314 |
+
},
|
| 1315 |
+
{
|
| 1316 |
+
"epoch": 2.503382949932341,
|
| 1317 |
+
"grad_norm": 0.927599310874939,
|
| 1318 |
+
"learning_rate": 0.0002,
|
| 1319 |
+
"loss": 0.742,
|
| 1320 |
+
"step": 1850
|
| 1321 |
+
},
|
| 1322 |
+
{
|
| 1323 |
+
"epoch": 2.516914749661705,
|
| 1324 |
+
"grad_norm": 1.384813666343689,
|
| 1325 |
+
"learning_rate": 0.0002,
|
| 1326 |
+
"loss": 0.7683,
|
| 1327 |
+
"step": 1860
|
| 1328 |
+
},
|
| 1329 |
+
{
|
| 1330 |
+
"epoch": 2.530446549391069,
|
| 1331 |
+
"grad_norm": 1.0022202730178833,
|
| 1332 |
+
"learning_rate": 0.0002,
|
| 1333 |
+
"loss": 0.7841,
|
| 1334 |
+
"step": 1870
|
| 1335 |
+
},
|
| 1336 |
+
{
|
| 1337 |
+
"epoch": 2.543978349120433,
|
| 1338 |
+
"grad_norm": 1.0271503925323486,
|
| 1339 |
+
"learning_rate": 0.0002,
|
| 1340 |
+
"loss": 0.7422,
|
| 1341 |
+
"step": 1880
|
| 1342 |
+
},
|
| 1343 |
+
{
|
| 1344 |
+
"epoch": 2.557510148849797,
|
| 1345 |
+
"grad_norm": 1.2724764347076416,
|
| 1346 |
+
"learning_rate": 0.0002,
|
| 1347 |
+
"loss": 0.7513,
|
| 1348 |
+
"step": 1890
|
| 1349 |
+
},
|
| 1350 |
+
{
|
| 1351 |
+
"epoch": 2.571041948579161,
|
| 1352 |
+
"grad_norm": 0.9063859581947327,
|
| 1353 |
+
"learning_rate": 0.0002,
|
| 1354 |
+
"loss": 0.7594,
|
| 1355 |
+
"step": 1900
|
| 1356 |
+
},
|
| 1357 |
+
{
|
| 1358 |
+
"epoch": 2.584573748308525,
|
| 1359 |
+
"grad_norm": 0.9433910250663757,
|
| 1360 |
+
"learning_rate": 0.0002,
|
| 1361 |
+
"loss": 0.7423,
|
| 1362 |
+
"step": 1910
|
| 1363 |
+
},
|
| 1364 |
+
{
|
| 1365 |
+
"epoch": 2.598105548037889,
|
| 1366 |
+
"grad_norm": 0.8303482532501221,
|
| 1367 |
+
"learning_rate": 0.0002,
|
| 1368 |
+
"loss": 0.6833,
|
| 1369 |
+
"step": 1920
|
| 1370 |
+
},
|
| 1371 |
+
{
|
| 1372 |
+
"epoch": 2.611637347767253,
|
| 1373 |
+
"grad_norm": 1.16862952709198,
|
| 1374 |
+
"learning_rate": 0.0002,
|
| 1375 |
+
"loss": 0.7145,
|
| 1376 |
+
"step": 1930
|
| 1377 |
+
},
|
| 1378 |
+
{
|
| 1379 |
+
"epoch": 2.6251691474966172,
|
| 1380 |
+
"grad_norm": 0.8904703855514526,
|
| 1381 |
+
"learning_rate": 0.0002,
|
| 1382 |
+
"loss": 0.7544,
|
| 1383 |
+
"step": 1940
|
| 1384 |
+
},
|
| 1385 |
+
{
|
| 1386 |
+
"epoch": 2.6387009472259813,
|
| 1387 |
+
"grad_norm": 1.2958505153656006,
|
| 1388 |
+
"learning_rate": 0.0002,
|
| 1389 |
+
"loss": 0.7339,
|
| 1390 |
+
"step": 1950
|
| 1391 |
+
},
|
| 1392 |
+
{
|
| 1393 |
+
"epoch": 2.6522327469553453,
|
| 1394 |
+
"grad_norm": 1.2310389280319214,
|
| 1395 |
+
"learning_rate": 0.0002,
|
| 1396 |
+
"loss": 0.7502,
|
| 1397 |
+
"step": 1960
|
| 1398 |
+
},
|
| 1399 |
+
{
|
| 1400 |
+
"epoch": 2.6657645466847093,
|
| 1401 |
+
"grad_norm": 1.3157947063446045,
|
| 1402 |
+
"learning_rate": 0.0002,
|
| 1403 |
+
"loss": 0.8305,
|
| 1404 |
+
"step": 1970
|
| 1405 |
+
},
|
| 1406 |
+
{
|
| 1407 |
+
"epoch": 2.6792963464140733,
|
| 1408 |
+
"grad_norm": 0.9247841238975525,
|
| 1409 |
+
"learning_rate": 0.0002,
|
| 1410 |
+
"loss": 0.7348,
|
| 1411 |
+
"step": 1980
|
| 1412 |
+
},
|
| 1413 |
+
{
|
| 1414 |
+
"epoch": 2.6928281461434374,
|
| 1415 |
+
"grad_norm": 0.9850119352340698,
|
| 1416 |
+
"learning_rate": 0.0002,
|
| 1417 |
+
"loss": 0.7352,
|
| 1418 |
+
"step": 1990
|
| 1419 |
+
},
|
| 1420 |
+
{
|
| 1421 |
+
"epoch": 2.706359945872801,
|
| 1422 |
+
"grad_norm": 1.59624183177948,
|
| 1423 |
+
"learning_rate": 0.0002,
|
| 1424 |
+
"loss": 0.7794,
|
| 1425 |
+
"step": 2000
|
| 1426 |
+
},
|
| 1427 |
+
{
|
| 1428 |
+
"epoch": 2.719891745602165,
|
| 1429 |
+
"grad_norm": 1.791932225227356,
|
| 1430 |
+
"learning_rate": 0.0002,
|
| 1431 |
+
"loss": 0.6918,
|
| 1432 |
+
"step": 2010
|
| 1433 |
+
},
|
| 1434 |
+
{
|
| 1435 |
+
"epoch": 2.733423545331529,
|
| 1436 |
+
"grad_norm": 0.8530828356742859,
|
| 1437 |
+
"learning_rate": 0.0002,
|
| 1438 |
+
"loss": 0.7616,
|
| 1439 |
+
"step": 2020
|
| 1440 |
+
},
|
| 1441 |
+
{
|
| 1442 |
+
"epoch": 2.746955345060893,
|
| 1443 |
+
"grad_norm": 1.431843638420105,
|
| 1444 |
+
"learning_rate": 0.0002,
|
| 1445 |
+
"loss": 0.8028,
|
| 1446 |
+
"step": 2030
|
| 1447 |
+
},
|
| 1448 |
+
{
|
| 1449 |
+
"epoch": 2.760487144790257,
|
| 1450 |
+
"grad_norm": 1.1818324327468872,
|
| 1451 |
+
"learning_rate": 0.0002,
|
| 1452 |
+
"loss": 0.7403,
|
| 1453 |
+
"step": 2040
|
| 1454 |
+
},
|
| 1455 |
+
{
|
| 1456 |
+
"epoch": 2.774018944519621,
|
| 1457 |
+
"grad_norm": 1.0456408262252808,
|
| 1458 |
+
"learning_rate": 0.0002,
|
| 1459 |
+
"loss": 0.6752,
|
| 1460 |
+
"step": 2050
|
| 1461 |
+
},
|
| 1462 |
+
{
|
| 1463 |
+
"epoch": 2.787550744248985,
|
| 1464 |
+
"grad_norm": 1.5935403108596802,
|
| 1465 |
+
"learning_rate": 0.0002,
|
| 1466 |
+
"loss": 0.7771,
|
| 1467 |
+
"step": 2060
|
| 1468 |
+
},
|
| 1469 |
+
{
|
| 1470 |
+
"epoch": 2.801082543978349,
|
| 1471 |
+
"grad_norm": 1.6653326749801636,
|
| 1472 |
+
"learning_rate": 0.0002,
|
| 1473 |
+
"loss": 0.722,
|
| 1474 |
+
"step": 2070
|
| 1475 |
+
},
|
| 1476 |
+
{
|
| 1477 |
+
"epoch": 2.814614343707713,
|
| 1478 |
+
"grad_norm": 1.2409698963165283,
|
| 1479 |
+
"learning_rate": 0.0002,
|
| 1480 |
+
"loss": 0.7553,
|
| 1481 |
+
"step": 2080
|
| 1482 |
+
},
|
| 1483 |
+
{
|
| 1484 |
+
"epoch": 2.828146143437077,
|
| 1485 |
+
"grad_norm": 0.8511452674865723,
|
| 1486 |
+
"learning_rate": 0.0002,
|
| 1487 |
+
"loss": 0.7483,
|
| 1488 |
+
"step": 2090
|
| 1489 |
+
},
|
| 1490 |
+
{
|
| 1491 |
+
"epoch": 2.841677943166441,
|
| 1492 |
+
"grad_norm": 1.1064083576202393,
|
| 1493 |
+
"learning_rate": 0.0002,
|
| 1494 |
+
"loss": 0.7773,
|
| 1495 |
+
"step": 2100
|
| 1496 |
+
},
|
| 1497 |
+
{
|
| 1498 |
+
"epoch": 2.855209742895805,
|
| 1499 |
+
"grad_norm": 1.5252450704574585,
|
| 1500 |
+
"learning_rate": 0.0002,
|
| 1501 |
+
"loss": 0.8025,
|
| 1502 |
+
"step": 2110
|
| 1503 |
+
},
|
| 1504 |
+
{
|
| 1505 |
+
"epoch": 2.8687415426251692,
|
| 1506 |
+
"grad_norm": 1.8477630615234375,
|
| 1507 |
+
"learning_rate": 0.0002,
|
| 1508 |
+
"loss": 0.7342,
|
| 1509 |
+
"step": 2120
|
| 1510 |
+
},
|
| 1511 |
+
{
|
| 1512 |
+
"epoch": 2.8822733423545333,
|
| 1513 |
+
"grad_norm": 1.8251630067825317,
|
| 1514 |
+
"learning_rate": 0.0002,
|
| 1515 |
+
"loss": 1.0005,
|
| 1516 |
+
"step": 2130
|
| 1517 |
+
},
|
| 1518 |
+
{
|
| 1519 |
+
"epoch": 2.8958051420838973,
|
| 1520 |
+
"grad_norm": 2.0696771144866943,
|
| 1521 |
+
"learning_rate": 0.0002,
|
| 1522 |
+
"loss": 0.8036,
|
| 1523 |
+
"step": 2140
|
| 1524 |
+
},
|
| 1525 |
+
{
|
| 1526 |
+
"epoch": 2.9093369418132613,
|
| 1527 |
+
"grad_norm": 1.0875508785247803,
|
| 1528 |
+
"learning_rate": 0.0002,
|
| 1529 |
+
"loss": 0.7561,
|
| 1530 |
+
"step": 2150
|
| 1531 |
+
},
|
| 1532 |
+
{
|
| 1533 |
+
"epoch": 2.9228687415426253,
|
| 1534 |
+
"grad_norm": 1.1486080884933472,
|
| 1535 |
+
"learning_rate": 0.0002,
|
| 1536 |
+
"loss": 0.808,
|
| 1537 |
+
"step": 2160
|
| 1538 |
+
},
|
| 1539 |
+
{
|
| 1540 |
+
"epoch": 2.936400541271989,
|
| 1541 |
+
"grad_norm": 1.3913694620132446,
|
| 1542 |
+
"learning_rate": 0.0002,
|
| 1543 |
+
"loss": 0.7418,
|
| 1544 |
+
"step": 2170
|
| 1545 |
+
},
|
| 1546 |
+
{
|
| 1547 |
+
"epoch": 2.949932341001353,
|
| 1548 |
+
"grad_norm": 1.0237643718719482,
|
| 1549 |
+
"learning_rate": 0.0002,
|
| 1550 |
+
"loss": 0.7829,
|
| 1551 |
+
"step": 2180
|
| 1552 |
+
},
|
| 1553 |
+
{
|
| 1554 |
+
"epoch": 2.963464140730717,
|
| 1555 |
+
"grad_norm": 1.0060926675796509,
|
| 1556 |
+
"learning_rate": 0.0002,
|
| 1557 |
+
"loss": 0.8717,
|
| 1558 |
+
"step": 2190
|
| 1559 |
+
},
|
| 1560 |
+
{
|
| 1561 |
+
"epoch": 2.976995940460081,
|
| 1562 |
+
"grad_norm": 0.8395462036132812,
|
| 1563 |
+
"learning_rate": 0.0002,
|
| 1564 |
+
"loss": 0.7581,
|
| 1565 |
+
"step": 2200
|
| 1566 |
+
},
|
| 1567 |
+
{
|
| 1568 |
+
"epoch": 2.990527740189445,
|
| 1569 |
+
"grad_norm": 1.4483158588409424,
|
| 1570 |
+
"learning_rate": 0.0002,
|
| 1571 |
+
"loss": 0.7032,
|
| 1572 |
+
"step": 2210
|
| 1573 |
+
},
|
| 1574 |
+
{
|
| 1575 |
+
"epoch": 3.0,
|
| 1576 |
+
"eval_loss": 1.3191189765930176,
|
| 1577 |
+
"eval_runtime": 53.5323,
|
| 1578 |
+
"eval_samples_per_second": 8.518,
|
| 1579 |
+
"eval_steps_per_second": 1.065,
|
| 1580 |
+
"step": 2217
|
| 1581 |
+
}
|
| 1582 |
+
],
|
| 1583 |
+
"logging_steps": 10,
|
| 1584 |
+
"max_steps": 5912,
|
| 1585 |
+
"num_input_tokens_seen": 0,
|
| 1586 |
+
"num_train_epochs": 8,
|
| 1587 |
+
"save_steps": 200,
|
| 1588 |
+
"stateful_callbacks": {
|
| 1589 |
+
"TrainerControl": {
|
| 1590 |
+
"args": {
|
| 1591 |
+
"should_epoch_stop": false,
|
| 1592 |
+
"should_evaluate": false,
|
| 1593 |
+
"should_log": false,
|
| 1594 |
+
"should_save": true,
|
| 1595 |
+
"should_training_stop": false
|
| 1596 |
+
},
|
| 1597 |
+
"attributes": {}
|
| 1598 |
+
}
|
| 1599 |
+
},
|
| 1600 |
+
"total_flos": 9.72702691098624e+16,
|
| 1601 |
+
"train_batch_size": 1,
|
| 1602 |
+
"trial_name": null,
|
| 1603 |
+
"trial_params": null
|
| 1604 |
+
}
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-2217/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e9c0e60ee7ec9d35429ff5330b6a72628063da6a9c843e01fa8c503c2ba1303f
|
| 3 |
+
size 5624
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-2956/README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: mistralai/Mistral-7B-Instruct-v0.3
|
| 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
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-2956/adapter_config.json
ADDED
|
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.3",
|
| 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 |
+
"q_proj",
|
| 24 |
+
"v_proj"
|
| 25 |
+
],
|
| 26 |
+
"task_type": "CAUSAL_LM",
|
| 27 |
+
"use_dora": false,
|
| 28 |
+
"use_rslora": false
|
| 29 |
+
}
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-2956/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:72b58f2791fa301857eaa8a2b70187927d155805814dd8be0af3e319768648f3
|
| 3 |
+
size 109069176
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-2956/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:21bbc23498ce7573081eccfcee8cf267af89dc4d66e25ed2ea3c5ffefa285f68
|
| 3 |
+
size 55532666
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-2956/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:079fe5b9e8e96e9ef6bf1832a86befe5276c9afc597368c3f79a7b0bcff32ed0
|
| 3 |
+
size 14244
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-2956/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:02045bcc359785ae61a174e4f10d5475b7b1ad0149f88409bcaa1bb9394ff240
|
| 3 |
+
size 1064
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-2956/special_tokens_map.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<s>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"eos_token": {
|
| 10 |
+
"content": "</s>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": "</s>",
|
| 17 |
+
"unk_token": {
|
| 18 |
+
"content": "<unk>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
}
|
| 24 |
+
}
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-2956/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-2956/tokenizer.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:37f00374dea48658ee8f5d0f21895b9bc55cb0103939607c8185bfd1c6ca1f89
|
| 3 |
+
size 587404
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-2956/tokenizer_config.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-2956/trainer_state.json
ADDED
|
@@ -0,0 +1,2130 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 1.28184974193573,
|
| 3 |
+
"best_model_checkpoint": "outputs-001/Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-1478",
|
| 4 |
+
"epoch": 4.0,
|
| 5 |
+
"eval_steps": 10,
|
| 6 |
+
"global_step": 2956,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.013531799729364006,
|
| 13 |
+
"grad_norm": 1.1050695180892944,
|
| 14 |
+
"learning_rate": 0.0002,
|
| 15 |
+
"loss": 1.9104,
|
| 16 |
+
"step": 10
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.02706359945872801,
|
| 20 |
+
"grad_norm": 1.2463239431381226,
|
| 21 |
+
"learning_rate": 0.0002,
|
| 22 |
+
"loss": 1.6832,
|
| 23 |
+
"step": 20
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.04059539918809202,
|
| 27 |
+
"grad_norm": 1.193475604057312,
|
| 28 |
+
"learning_rate": 0.0002,
|
| 29 |
+
"loss": 1.4273,
|
| 30 |
+
"step": 30
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.05412719891745602,
|
| 34 |
+
"grad_norm": 0.7777265310287476,
|
| 35 |
+
"learning_rate": 0.0002,
|
| 36 |
+
"loss": 1.4369,
|
| 37 |
+
"step": 40
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.06765899864682003,
|
| 41 |
+
"grad_norm": 1.4079619646072388,
|
| 42 |
+
"learning_rate": 0.0002,
|
| 43 |
+
"loss": 1.3618,
|
| 44 |
+
"step": 50
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.08119079837618404,
|
| 48 |
+
"grad_norm": 0.9451370239257812,
|
| 49 |
+
"learning_rate": 0.0002,
|
| 50 |
+
"loss": 1.2639,
|
| 51 |
+
"step": 60
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.09472259810554803,
|
| 55 |
+
"grad_norm": 0.7137989401817322,
|
| 56 |
+
"learning_rate": 0.0002,
|
| 57 |
+
"loss": 1.2494,
|
| 58 |
+
"step": 70
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.10825439783491204,
|
| 62 |
+
"grad_norm": 0.5521688461303711,
|
| 63 |
+
"learning_rate": 0.0002,
|
| 64 |
+
"loss": 1.1309,
|
| 65 |
+
"step": 80
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.12178619756427606,
|
| 69 |
+
"grad_norm": 0.8050252795219421,
|
| 70 |
+
"learning_rate": 0.0002,
|
| 71 |
+
"loss": 1.2882,
|
| 72 |
+
"step": 90
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.13531799729364005,
|
| 76 |
+
"grad_norm": 0.6771517992019653,
|
| 77 |
+
"learning_rate": 0.0002,
|
| 78 |
+
"loss": 1.2237,
|
| 79 |
+
"step": 100
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.14884979702300405,
|
| 83 |
+
"grad_norm": 0.8056462407112122,
|
| 84 |
+
"learning_rate": 0.0002,
|
| 85 |
+
"loss": 1.2265,
|
| 86 |
+
"step": 110
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.16238159675236807,
|
| 90 |
+
"grad_norm": 0.7240928411483765,
|
| 91 |
+
"learning_rate": 0.0002,
|
| 92 |
+
"loss": 1.3218,
|
| 93 |
+
"step": 120
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.17591339648173207,
|
| 97 |
+
"grad_norm": 0.5310224294662476,
|
| 98 |
+
"learning_rate": 0.0002,
|
| 99 |
+
"loss": 1.0812,
|
| 100 |
+
"step": 130
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.18944519621109607,
|
| 104 |
+
"grad_norm": 0.5730571150779724,
|
| 105 |
+
"learning_rate": 0.0002,
|
| 106 |
+
"loss": 1.2196,
|
| 107 |
+
"step": 140
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.2029769959404601,
|
| 111 |
+
"grad_norm": 0.5288769006729126,
|
| 112 |
+
"learning_rate": 0.0002,
|
| 113 |
+
"loss": 1.3183,
|
| 114 |
+
"step": 150
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.2165087956698241,
|
| 118 |
+
"grad_norm": 0.5447443723678589,
|
| 119 |
+
"learning_rate": 0.0002,
|
| 120 |
+
"loss": 1.1886,
|
| 121 |
+
"step": 160
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.23004059539918809,
|
| 125 |
+
"grad_norm": 2.2740917205810547,
|
| 126 |
+
"learning_rate": 0.0002,
|
| 127 |
+
"loss": 1.1994,
|
| 128 |
+
"step": 170
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.2435723951285521,
|
| 132 |
+
"grad_norm": 0.6200950741767883,
|
| 133 |
+
"learning_rate": 0.0002,
|
| 134 |
+
"loss": 1.2398,
|
| 135 |
+
"step": 180
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.2571041948579161,
|
| 139 |
+
"grad_norm": 1.1782610416412354,
|
| 140 |
+
"learning_rate": 0.0002,
|
| 141 |
+
"loss": 1.2827,
|
| 142 |
+
"step": 190
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.2706359945872801,
|
| 146 |
+
"grad_norm": 0.7893068194389343,
|
| 147 |
+
"learning_rate": 0.0002,
|
| 148 |
+
"loss": 1.1697,
|
| 149 |
+
"step": 200
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.28416779431664413,
|
| 153 |
+
"grad_norm": 0.5421761274337769,
|
| 154 |
+
"learning_rate": 0.0002,
|
| 155 |
+
"loss": 1.221,
|
| 156 |
+
"step": 210
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.2976995940460081,
|
| 160 |
+
"grad_norm": 0.5460169315338135,
|
| 161 |
+
"learning_rate": 0.0002,
|
| 162 |
+
"loss": 1.2019,
|
| 163 |
+
"step": 220
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.3112313937753721,
|
| 167 |
+
"grad_norm": 0.5957289934158325,
|
| 168 |
+
"learning_rate": 0.0002,
|
| 169 |
+
"loss": 1.1363,
|
| 170 |
+
"step": 230
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.32476319350473615,
|
| 174 |
+
"grad_norm": 0.745093047618866,
|
| 175 |
+
"learning_rate": 0.0002,
|
| 176 |
+
"loss": 1.2545,
|
| 177 |
+
"step": 240
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.3382949932341001,
|
| 181 |
+
"grad_norm": 0.622627317905426,
|
| 182 |
+
"learning_rate": 0.0002,
|
| 183 |
+
"loss": 1.2408,
|
| 184 |
+
"step": 250
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 0.35182679296346414,
|
| 188 |
+
"grad_norm": 0.5773138999938965,
|
| 189 |
+
"learning_rate": 0.0002,
|
| 190 |
+
"loss": 1.3083,
|
| 191 |
+
"step": 260
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.36535859269282817,
|
| 195 |
+
"grad_norm": 1.104275107383728,
|
| 196 |
+
"learning_rate": 0.0002,
|
| 197 |
+
"loss": 1.0475,
|
| 198 |
+
"step": 270
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 0.37889039242219213,
|
| 202 |
+
"grad_norm": 0.5755344033241272,
|
| 203 |
+
"learning_rate": 0.0002,
|
| 204 |
+
"loss": 1.0988,
|
| 205 |
+
"step": 280
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 0.39242219215155616,
|
| 209 |
+
"grad_norm": 0.5885311961174011,
|
| 210 |
+
"learning_rate": 0.0002,
|
| 211 |
+
"loss": 1.2215,
|
| 212 |
+
"step": 290
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.4059539918809202,
|
| 216 |
+
"grad_norm": 1.448182225227356,
|
| 217 |
+
"learning_rate": 0.0002,
|
| 218 |
+
"loss": 1.2099,
|
| 219 |
+
"step": 300
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.41948579161028415,
|
| 223 |
+
"grad_norm": 0.5983599424362183,
|
| 224 |
+
"learning_rate": 0.0002,
|
| 225 |
+
"loss": 1.2114,
|
| 226 |
+
"step": 310
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 0.4330175913396482,
|
| 230 |
+
"grad_norm": 0.5013539791107178,
|
| 231 |
+
"learning_rate": 0.0002,
|
| 232 |
+
"loss": 1.1691,
|
| 233 |
+
"step": 320
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 0.4465493910690122,
|
| 237 |
+
"grad_norm": 0.8935738205909729,
|
| 238 |
+
"learning_rate": 0.0002,
|
| 239 |
+
"loss": 1.138,
|
| 240 |
+
"step": 330
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 0.46008119079837617,
|
| 244 |
+
"grad_norm": 0.5642115473747253,
|
| 245 |
+
"learning_rate": 0.0002,
|
| 246 |
+
"loss": 1.1336,
|
| 247 |
+
"step": 340
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 0.4736129905277402,
|
| 251 |
+
"grad_norm": 0.7897255420684814,
|
| 252 |
+
"learning_rate": 0.0002,
|
| 253 |
+
"loss": 1.2355,
|
| 254 |
+
"step": 350
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 0.4871447902571042,
|
| 258 |
+
"grad_norm": 1.6891459226608276,
|
| 259 |
+
"learning_rate": 0.0002,
|
| 260 |
+
"loss": 1.1067,
|
| 261 |
+
"step": 360
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 0.5006765899864682,
|
| 265 |
+
"grad_norm": 1.1374807357788086,
|
| 266 |
+
"learning_rate": 0.0002,
|
| 267 |
+
"loss": 1.1787,
|
| 268 |
+
"step": 370
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 0.5142083897158322,
|
| 272 |
+
"grad_norm": 0.5355549454689026,
|
| 273 |
+
"learning_rate": 0.0002,
|
| 274 |
+
"loss": 1.1525,
|
| 275 |
+
"step": 380
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 0.5277401894451962,
|
| 279 |
+
"grad_norm": 0.656196653842926,
|
| 280 |
+
"learning_rate": 0.0002,
|
| 281 |
+
"loss": 1.1298,
|
| 282 |
+
"step": 390
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 0.5412719891745602,
|
| 286 |
+
"grad_norm": 0.8692356944084167,
|
| 287 |
+
"learning_rate": 0.0002,
|
| 288 |
+
"loss": 1.1471,
|
| 289 |
+
"step": 400
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 0.5548037889039242,
|
| 293 |
+
"grad_norm": 0.5873697400093079,
|
| 294 |
+
"learning_rate": 0.0002,
|
| 295 |
+
"loss": 0.9781,
|
| 296 |
+
"step": 410
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 0.5683355886332883,
|
| 300 |
+
"grad_norm": 0.8922758102416992,
|
| 301 |
+
"learning_rate": 0.0002,
|
| 302 |
+
"loss": 1.1841,
|
| 303 |
+
"step": 420
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 0.5818673883626523,
|
| 307 |
+
"grad_norm": 0.5048012733459473,
|
| 308 |
+
"learning_rate": 0.0002,
|
| 309 |
+
"loss": 1.184,
|
| 310 |
+
"step": 430
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 0.5953991880920162,
|
| 314 |
+
"grad_norm": 0.603631317615509,
|
| 315 |
+
"learning_rate": 0.0002,
|
| 316 |
+
"loss": 1.3276,
|
| 317 |
+
"step": 440
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 0.6089309878213802,
|
| 321 |
+
"grad_norm": 0.5635734796524048,
|
| 322 |
+
"learning_rate": 0.0002,
|
| 323 |
+
"loss": 1.0459,
|
| 324 |
+
"step": 450
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 0.6224627875507442,
|
| 328 |
+
"grad_norm": 0.7483186721801758,
|
| 329 |
+
"learning_rate": 0.0002,
|
| 330 |
+
"loss": 1.1549,
|
| 331 |
+
"step": 460
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 0.6359945872801083,
|
| 335 |
+
"grad_norm": 0.5372456312179565,
|
| 336 |
+
"learning_rate": 0.0002,
|
| 337 |
+
"loss": 1.1141,
|
| 338 |
+
"step": 470
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 0.6495263870094723,
|
| 342 |
+
"grad_norm": 0.9461246728897095,
|
| 343 |
+
"learning_rate": 0.0002,
|
| 344 |
+
"loss": 1.2966,
|
| 345 |
+
"step": 480
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 0.6630581867388363,
|
| 349 |
+
"grad_norm": 0.7017379403114319,
|
| 350 |
+
"learning_rate": 0.0002,
|
| 351 |
+
"loss": 1.1226,
|
| 352 |
+
"step": 490
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 0.6765899864682002,
|
| 356 |
+
"grad_norm": 1.6177887916564941,
|
| 357 |
+
"learning_rate": 0.0002,
|
| 358 |
+
"loss": 1.2138,
|
| 359 |
+
"step": 500
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 0.6901217861975643,
|
| 363 |
+
"grad_norm": 0.4857328236103058,
|
| 364 |
+
"learning_rate": 0.0002,
|
| 365 |
+
"loss": 1.0716,
|
| 366 |
+
"step": 510
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 0.7036535859269283,
|
| 370 |
+
"grad_norm": 1.0545706748962402,
|
| 371 |
+
"learning_rate": 0.0002,
|
| 372 |
+
"loss": 1.2898,
|
| 373 |
+
"step": 520
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 0.7171853856562923,
|
| 377 |
+
"grad_norm": 0.7486541867256165,
|
| 378 |
+
"learning_rate": 0.0002,
|
| 379 |
+
"loss": 1.2527,
|
| 380 |
+
"step": 530
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 0.7307171853856563,
|
| 384 |
+
"grad_norm": 0.6588427424430847,
|
| 385 |
+
"learning_rate": 0.0002,
|
| 386 |
+
"loss": 1.0634,
|
| 387 |
+
"step": 540
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 0.7442489851150202,
|
| 391 |
+
"grad_norm": 0.9485914707183838,
|
| 392 |
+
"learning_rate": 0.0002,
|
| 393 |
+
"loss": 1.0988,
|
| 394 |
+
"step": 550
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 0.7577807848443843,
|
| 398 |
+
"grad_norm": 0.7465947866439819,
|
| 399 |
+
"learning_rate": 0.0002,
|
| 400 |
+
"loss": 1.1933,
|
| 401 |
+
"step": 560
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 0.7713125845737483,
|
| 405 |
+
"grad_norm": 0.6392837166786194,
|
| 406 |
+
"learning_rate": 0.0002,
|
| 407 |
+
"loss": 1.0927,
|
| 408 |
+
"step": 570
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 0.7848443843031123,
|
| 412 |
+
"grad_norm": 0.4898282587528229,
|
| 413 |
+
"learning_rate": 0.0002,
|
| 414 |
+
"loss": 1.14,
|
| 415 |
+
"step": 580
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
"epoch": 0.7983761840324763,
|
| 419 |
+
"grad_norm": 0.5636171102523804,
|
| 420 |
+
"learning_rate": 0.0002,
|
| 421 |
+
"loss": 1.0425,
|
| 422 |
+
"step": 590
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 0.8119079837618404,
|
| 426 |
+
"grad_norm": 0.6637675166130066,
|
| 427 |
+
"learning_rate": 0.0002,
|
| 428 |
+
"loss": 1.0717,
|
| 429 |
+
"step": 600
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 0.8254397834912043,
|
| 433 |
+
"grad_norm": 1.1842738389968872,
|
| 434 |
+
"learning_rate": 0.0002,
|
| 435 |
+
"loss": 1.1204,
|
| 436 |
+
"step": 610
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"epoch": 0.8389715832205683,
|
| 440 |
+
"grad_norm": 0.5699004530906677,
|
| 441 |
+
"learning_rate": 0.0002,
|
| 442 |
+
"loss": 1.083,
|
| 443 |
+
"step": 620
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 0.8525033829499323,
|
| 447 |
+
"grad_norm": 0.7748669385910034,
|
| 448 |
+
"learning_rate": 0.0002,
|
| 449 |
+
"loss": 1.153,
|
| 450 |
+
"step": 630
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 0.8660351826792964,
|
| 454 |
+
"grad_norm": 0.7987180352210999,
|
| 455 |
+
"learning_rate": 0.0002,
|
| 456 |
+
"loss": 1.141,
|
| 457 |
+
"step": 640
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"epoch": 0.8795669824086604,
|
| 461 |
+
"grad_norm": 1.0740629434585571,
|
| 462 |
+
"learning_rate": 0.0002,
|
| 463 |
+
"loss": 1.0949,
|
| 464 |
+
"step": 650
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 0.8930987821380244,
|
| 468 |
+
"grad_norm": 0.731082022190094,
|
| 469 |
+
"learning_rate": 0.0002,
|
| 470 |
+
"loss": 1.0503,
|
| 471 |
+
"step": 660
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 0.9066305818673883,
|
| 475 |
+
"grad_norm": 0.9066846966743469,
|
| 476 |
+
"learning_rate": 0.0002,
|
| 477 |
+
"loss": 1.1075,
|
| 478 |
+
"step": 670
|
| 479 |
+
},
|
| 480 |
+
{
|
| 481 |
+
"epoch": 0.9201623815967523,
|
| 482 |
+
"grad_norm": 0.9934597015380859,
|
| 483 |
+
"learning_rate": 0.0002,
|
| 484 |
+
"loss": 1.0516,
|
| 485 |
+
"step": 680
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 0.9336941813261164,
|
| 489 |
+
"grad_norm": 0.7975896000862122,
|
| 490 |
+
"learning_rate": 0.0002,
|
| 491 |
+
"loss": 1.0983,
|
| 492 |
+
"step": 690
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"epoch": 0.9472259810554804,
|
| 496 |
+
"grad_norm": 0.9127744436264038,
|
| 497 |
+
"learning_rate": 0.0002,
|
| 498 |
+
"loss": 1.2362,
|
| 499 |
+
"step": 700
|
| 500 |
+
},
|
| 501 |
+
{
|
| 502 |
+
"epoch": 0.9607577807848444,
|
| 503 |
+
"grad_norm": 0.7682064175605774,
|
| 504 |
+
"learning_rate": 0.0002,
|
| 505 |
+
"loss": 1.0273,
|
| 506 |
+
"step": 710
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 0.9742895805142084,
|
| 510 |
+
"grad_norm": 0.9808696508407593,
|
| 511 |
+
"learning_rate": 0.0002,
|
| 512 |
+
"loss": 1.2195,
|
| 513 |
+
"step": 720
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 0.9878213802435724,
|
| 517 |
+
"grad_norm": 1.0826992988586426,
|
| 518 |
+
"learning_rate": 0.0002,
|
| 519 |
+
"loss": 1.0979,
|
| 520 |
+
"step": 730
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"epoch": 1.0,
|
| 524 |
+
"eval_loss": 1.2867646217346191,
|
| 525 |
+
"eval_runtime": 53.6569,
|
| 526 |
+
"eval_samples_per_second": 8.498,
|
| 527 |
+
"eval_steps_per_second": 1.062,
|
| 528 |
+
"step": 739
|
| 529 |
+
},
|
| 530 |
+
{
|
| 531 |
+
"epoch": 1.0013531799729365,
|
| 532 |
+
"grad_norm": 0.6498591303825378,
|
| 533 |
+
"learning_rate": 0.0002,
|
| 534 |
+
"loss": 1.1631,
|
| 535 |
+
"step": 740
|
| 536 |
+
},
|
| 537 |
+
{
|
| 538 |
+
"epoch": 1.0148849797023005,
|
| 539 |
+
"grad_norm": 0.8040738701820374,
|
| 540 |
+
"learning_rate": 0.0002,
|
| 541 |
+
"loss": 1.0737,
|
| 542 |
+
"step": 750
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"epoch": 1.0284167794316643,
|
| 546 |
+
"grad_norm": 0.7280412912368774,
|
| 547 |
+
"learning_rate": 0.0002,
|
| 548 |
+
"loss": 1.03,
|
| 549 |
+
"step": 760
|
| 550 |
+
},
|
| 551 |
+
{
|
| 552 |
+
"epoch": 1.0419485791610283,
|
| 553 |
+
"grad_norm": 0.672149121761322,
|
| 554 |
+
"learning_rate": 0.0002,
|
| 555 |
+
"loss": 0.9603,
|
| 556 |
+
"step": 770
|
| 557 |
+
},
|
| 558 |
+
{
|
| 559 |
+
"epoch": 1.0554803788903924,
|
| 560 |
+
"grad_norm": 1.1186308860778809,
|
| 561 |
+
"learning_rate": 0.0002,
|
| 562 |
+
"loss": 0.997,
|
| 563 |
+
"step": 780
|
| 564 |
+
},
|
| 565 |
+
{
|
| 566 |
+
"epoch": 1.0690121786197564,
|
| 567 |
+
"grad_norm": 0.9073583483695984,
|
| 568 |
+
"learning_rate": 0.0002,
|
| 569 |
+
"loss": 0.9088,
|
| 570 |
+
"step": 790
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 1.0825439783491204,
|
| 574 |
+
"grad_norm": 0.6135605573654175,
|
| 575 |
+
"learning_rate": 0.0002,
|
| 576 |
+
"loss": 0.9413,
|
| 577 |
+
"step": 800
|
| 578 |
+
},
|
| 579 |
+
{
|
| 580 |
+
"epoch": 1.0960757780784844,
|
| 581 |
+
"grad_norm": 0.5854787826538086,
|
| 582 |
+
"learning_rate": 0.0002,
|
| 583 |
+
"loss": 0.9024,
|
| 584 |
+
"step": 810
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 1.1096075778078485,
|
| 588 |
+
"grad_norm": 0.9077727794647217,
|
| 589 |
+
"learning_rate": 0.0002,
|
| 590 |
+
"loss": 1.0176,
|
| 591 |
+
"step": 820
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 1.1231393775372125,
|
| 595 |
+
"grad_norm": 0.7072564363479614,
|
| 596 |
+
"learning_rate": 0.0002,
|
| 597 |
+
"loss": 0.9489,
|
| 598 |
+
"step": 830
|
| 599 |
+
},
|
| 600 |
+
{
|
| 601 |
+
"epoch": 1.1366711772665765,
|
| 602 |
+
"grad_norm": 0.9457924365997314,
|
| 603 |
+
"learning_rate": 0.0002,
|
| 604 |
+
"loss": 0.9275,
|
| 605 |
+
"step": 840
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 1.1502029769959405,
|
| 609 |
+
"grad_norm": 0.9216122031211853,
|
| 610 |
+
"learning_rate": 0.0002,
|
| 611 |
+
"loss": 0.9998,
|
| 612 |
+
"step": 850
|
| 613 |
+
},
|
| 614 |
+
{
|
| 615 |
+
"epoch": 1.1637347767253043,
|
| 616 |
+
"grad_norm": 1.0899791717529297,
|
| 617 |
+
"learning_rate": 0.0002,
|
| 618 |
+
"loss": 0.9803,
|
| 619 |
+
"step": 860
|
| 620 |
+
},
|
| 621 |
+
{
|
| 622 |
+
"epoch": 1.1772665764546684,
|
| 623 |
+
"grad_norm": 0.8594662547111511,
|
| 624 |
+
"learning_rate": 0.0002,
|
| 625 |
+
"loss": 1.0419,
|
| 626 |
+
"step": 870
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 1.1907983761840324,
|
| 630 |
+
"grad_norm": 0.8680914640426636,
|
| 631 |
+
"learning_rate": 0.0002,
|
| 632 |
+
"loss": 0.9513,
|
| 633 |
+
"step": 880
|
| 634 |
+
},
|
| 635 |
+
{
|
| 636 |
+
"epoch": 1.2043301759133964,
|
| 637 |
+
"grad_norm": 0.5579341650009155,
|
| 638 |
+
"learning_rate": 0.0002,
|
| 639 |
+
"loss": 0.9695,
|
| 640 |
+
"step": 890
|
| 641 |
+
},
|
| 642 |
+
{
|
| 643 |
+
"epoch": 1.2178619756427604,
|
| 644 |
+
"grad_norm": 0.8556986451148987,
|
| 645 |
+
"learning_rate": 0.0002,
|
| 646 |
+
"loss": 1.0153,
|
| 647 |
+
"step": 900
|
| 648 |
+
},
|
| 649 |
+
{
|
| 650 |
+
"epoch": 1.2313937753721245,
|
| 651 |
+
"grad_norm": 1.8943263292312622,
|
| 652 |
+
"learning_rate": 0.0002,
|
| 653 |
+
"loss": 0.9589,
|
| 654 |
+
"step": 910
|
| 655 |
+
},
|
| 656 |
+
{
|
| 657 |
+
"epoch": 1.2449255751014885,
|
| 658 |
+
"grad_norm": 0.7652221918106079,
|
| 659 |
+
"learning_rate": 0.0002,
|
| 660 |
+
"loss": 0.9554,
|
| 661 |
+
"step": 920
|
| 662 |
+
},
|
| 663 |
+
{
|
| 664 |
+
"epoch": 1.2584573748308525,
|
| 665 |
+
"grad_norm": 0.6921482086181641,
|
| 666 |
+
"learning_rate": 0.0002,
|
| 667 |
+
"loss": 0.955,
|
| 668 |
+
"step": 930
|
| 669 |
+
},
|
| 670 |
+
{
|
| 671 |
+
"epoch": 1.2719891745602165,
|
| 672 |
+
"grad_norm": 0.7211646437644958,
|
| 673 |
+
"learning_rate": 0.0002,
|
| 674 |
+
"loss": 1.0335,
|
| 675 |
+
"step": 940
|
| 676 |
+
},
|
| 677 |
+
{
|
| 678 |
+
"epoch": 1.2855209742895806,
|
| 679 |
+
"grad_norm": 0.9096421599388123,
|
| 680 |
+
"learning_rate": 0.0002,
|
| 681 |
+
"loss": 1.0597,
|
| 682 |
+
"step": 950
|
| 683 |
+
},
|
| 684 |
+
{
|
| 685 |
+
"epoch": 1.2990527740189446,
|
| 686 |
+
"grad_norm": 0.743715226650238,
|
| 687 |
+
"learning_rate": 0.0002,
|
| 688 |
+
"loss": 1.1143,
|
| 689 |
+
"step": 960
|
| 690 |
+
},
|
| 691 |
+
{
|
| 692 |
+
"epoch": 1.3125845737483086,
|
| 693 |
+
"grad_norm": 0.9247064590454102,
|
| 694 |
+
"learning_rate": 0.0002,
|
| 695 |
+
"loss": 0.9284,
|
| 696 |
+
"step": 970
|
| 697 |
+
},
|
| 698 |
+
{
|
| 699 |
+
"epoch": 1.3261163734776726,
|
| 700 |
+
"grad_norm": 1.0811798572540283,
|
| 701 |
+
"learning_rate": 0.0002,
|
| 702 |
+
"loss": 0.9534,
|
| 703 |
+
"step": 980
|
| 704 |
+
},
|
| 705 |
+
{
|
| 706 |
+
"epoch": 1.3396481732070367,
|
| 707 |
+
"grad_norm": 0.7317015528678894,
|
| 708 |
+
"learning_rate": 0.0002,
|
| 709 |
+
"loss": 0.9579,
|
| 710 |
+
"step": 990
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"epoch": 1.3531799729364005,
|
| 714 |
+
"grad_norm": 0.8399309515953064,
|
| 715 |
+
"learning_rate": 0.0002,
|
| 716 |
+
"loss": 1.0071,
|
| 717 |
+
"step": 1000
|
| 718 |
+
},
|
| 719 |
+
{
|
| 720 |
+
"epoch": 1.3667117726657645,
|
| 721 |
+
"grad_norm": 1.094558835029602,
|
| 722 |
+
"learning_rate": 0.0002,
|
| 723 |
+
"loss": 0.9483,
|
| 724 |
+
"step": 1010
|
| 725 |
+
},
|
| 726 |
+
{
|
| 727 |
+
"epoch": 1.3802435723951285,
|
| 728 |
+
"grad_norm": 1.3759856224060059,
|
| 729 |
+
"learning_rate": 0.0002,
|
| 730 |
+
"loss": 0.8744,
|
| 731 |
+
"step": 1020
|
| 732 |
+
},
|
| 733 |
+
{
|
| 734 |
+
"epoch": 1.3937753721244925,
|
| 735 |
+
"grad_norm": 0.8855497241020203,
|
| 736 |
+
"learning_rate": 0.0002,
|
| 737 |
+
"loss": 0.915,
|
| 738 |
+
"step": 1030
|
| 739 |
+
},
|
| 740 |
+
{
|
| 741 |
+
"epoch": 1.4073071718538566,
|
| 742 |
+
"grad_norm": 3.6836671829223633,
|
| 743 |
+
"learning_rate": 0.0002,
|
| 744 |
+
"loss": 0.9236,
|
| 745 |
+
"step": 1040
|
| 746 |
+
},
|
| 747 |
+
{
|
| 748 |
+
"epoch": 1.4208389715832206,
|
| 749 |
+
"grad_norm": 1.1119214296340942,
|
| 750 |
+
"learning_rate": 0.0002,
|
| 751 |
+
"loss": 0.8975,
|
| 752 |
+
"step": 1050
|
| 753 |
+
},
|
| 754 |
+
{
|
| 755 |
+
"epoch": 1.4343707713125846,
|
| 756 |
+
"grad_norm": 0.8871118426322937,
|
| 757 |
+
"learning_rate": 0.0002,
|
| 758 |
+
"loss": 0.9381,
|
| 759 |
+
"step": 1060
|
| 760 |
+
},
|
| 761 |
+
{
|
| 762 |
+
"epoch": 1.4479025710419486,
|
| 763 |
+
"grad_norm": 0.9937213063240051,
|
| 764 |
+
"learning_rate": 0.0002,
|
| 765 |
+
"loss": 0.9091,
|
| 766 |
+
"step": 1070
|
| 767 |
+
},
|
| 768 |
+
{
|
| 769 |
+
"epoch": 1.4614343707713127,
|
| 770 |
+
"grad_norm": 0.7206485867500305,
|
| 771 |
+
"learning_rate": 0.0002,
|
| 772 |
+
"loss": 0.9923,
|
| 773 |
+
"step": 1080
|
| 774 |
+
},
|
| 775 |
+
{
|
| 776 |
+
"epoch": 1.4749661705006765,
|
| 777 |
+
"grad_norm": 0.8442404866218567,
|
| 778 |
+
"learning_rate": 0.0002,
|
| 779 |
+
"loss": 0.951,
|
| 780 |
+
"step": 1090
|
| 781 |
+
},
|
| 782 |
+
{
|
| 783 |
+
"epoch": 1.4884979702300405,
|
| 784 |
+
"grad_norm": 0.9265049695968628,
|
| 785 |
+
"learning_rate": 0.0002,
|
| 786 |
+
"loss": 0.8609,
|
| 787 |
+
"step": 1100
|
| 788 |
+
},
|
| 789 |
+
{
|
| 790 |
+
"epoch": 1.5020297699594045,
|
| 791 |
+
"grad_norm": 1.1033650636672974,
|
| 792 |
+
"learning_rate": 0.0002,
|
| 793 |
+
"loss": 1.0021,
|
| 794 |
+
"step": 1110
|
| 795 |
+
},
|
| 796 |
+
{
|
| 797 |
+
"epoch": 1.5155615696887685,
|
| 798 |
+
"grad_norm": 0.7876176834106445,
|
| 799 |
+
"learning_rate": 0.0002,
|
| 800 |
+
"loss": 1.004,
|
| 801 |
+
"step": 1120
|
| 802 |
+
},
|
| 803 |
+
{
|
| 804 |
+
"epoch": 1.5290933694181326,
|
| 805 |
+
"grad_norm": 0.7761271595954895,
|
| 806 |
+
"learning_rate": 0.0002,
|
| 807 |
+
"loss": 0.9555,
|
| 808 |
+
"step": 1130
|
| 809 |
+
},
|
| 810 |
+
{
|
| 811 |
+
"epoch": 1.5426251691474966,
|
| 812 |
+
"grad_norm": 1.0603803396224976,
|
| 813 |
+
"learning_rate": 0.0002,
|
| 814 |
+
"loss": 0.9569,
|
| 815 |
+
"step": 1140
|
| 816 |
+
},
|
| 817 |
+
{
|
| 818 |
+
"epoch": 1.5561569688768606,
|
| 819 |
+
"grad_norm": 0.7715556621551514,
|
| 820 |
+
"learning_rate": 0.0002,
|
| 821 |
+
"loss": 0.9842,
|
| 822 |
+
"step": 1150
|
| 823 |
+
},
|
| 824 |
+
{
|
| 825 |
+
"epoch": 1.5696887686062246,
|
| 826 |
+
"grad_norm": 0.6591511368751526,
|
| 827 |
+
"learning_rate": 0.0002,
|
| 828 |
+
"loss": 0.898,
|
| 829 |
+
"step": 1160
|
| 830 |
+
},
|
| 831 |
+
{
|
| 832 |
+
"epoch": 1.5832205683355887,
|
| 833 |
+
"grad_norm": 1.1773475408554077,
|
| 834 |
+
"learning_rate": 0.0002,
|
| 835 |
+
"loss": 0.9584,
|
| 836 |
+
"step": 1170
|
| 837 |
+
},
|
| 838 |
+
{
|
| 839 |
+
"epoch": 1.5967523680649527,
|
| 840 |
+
"grad_norm": 0.8513862490653992,
|
| 841 |
+
"learning_rate": 0.0002,
|
| 842 |
+
"loss": 0.9229,
|
| 843 |
+
"step": 1180
|
| 844 |
+
},
|
| 845 |
+
{
|
| 846 |
+
"epoch": 1.6102841677943167,
|
| 847 |
+
"grad_norm": 1.0796581506729126,
|
| 848 |
+
"learning_rate": 0.0002,
|
| 849 |
+
"loss": 0.9577,
|
| 850 |
+
"step": 1190
|
| 851 |
+
},
|
| 852 |
+
{
|
| 853 |
+
"epoch": 1.6238159675236807,
|
| 854 |
+
"grad_norm": 0.8897230625152588,
|
| 855 |
+
"learning_rate": 0.0002,
|
| 856 |
+
"loss": 0.9698,
|
| 857 |
+
"step": 1200
|
| 858 |
+
},
|
| 859 |
+
{
|
| 860 |
+
"epoch": 1.6373477672530448,
|
| 861 |
+
"grad_norm": 1.4640971422195435,
|
| 862 |
+
"learning_rate": 0.0002,
|
| 863 |
+
"loss": 0.9295,
|
| 864 |
+
"step": 1210
|
| 865 |
+
},
|
| 866 |
+
{
|
| 867 |
+
"epoch": 1.6508795669824088,
|
| 868 |
+
"grad_norm": 1.123056173324585,
|
| 869 |
+
"learning_rate": 0.0002,
|
| 870 |
+
"loss": 1.003,
|
| 871 |
+
"step": 1220
|
| 872 |
+
},
|
| 873 |
+
{
|
| 874 |
+
"epoch": 1.6644113667117728,
|
| 875 |
+
"grad_norm": 1.1064175367355347,
|
| 876 |
+
"learning_rate": 0.0002,
|
| 877 |
+
"loss": 0.9524,
|
| 878 |
+
"step": 1230
|
| 879 |
+
},
|
| 880 |
+
{
|
| 881 |
+
"epoch": 1.6779431664411368,
|
| 882 |
+
"grad_norm": 2.4434642791748047,
|
| 883 |
+
"learning_rate": 0.0002,
|
| 884 |
+
"loss": 0.8896,
|
| 885 |
+
"step": 1240
|
| 886 |
+
},
|
| 887 |
+
{
|
| 888 |
+
"epoch": 1.6914749661705006,
|
| 889 |
+
"grad_norm": 1.0455760955810547,
|
| 890 |
+
"learning_rate": 0.0002,
|
| 891 |
+
"loss": 0.9899,
|
| 892 |
+
"step": 1250
|
| 893 |
+
},
|
| 894 |
+
{
|
| 895 |
+
"epoch": 1.7050067658998647,
|
| 896 |
+
"grad_norm": 1.1007593870162964,
|
| 897 |
+
"learning_rate": 0.0002,
|
| 898 |
+
"loss": 0.9032,
|
| 899 |
+
"step": 1260
|
| 900 |
+
},
|
| 901 |
+
{
|
| 902 |
+
"epoch": 1.7185385656292287,
|
| 903 |
+
"grad_norm": 1.2697606086730957,
|
| 904 |
+
"learning_rate": 0.0002,
|
| 905 |
+
"loss": 0.9226,
|
| 906 |
+
"step": 1270
|
| 907 |
+
},
|
| 908 |
+
{
|
| 909 |
+
"epoch": 1.7320703653585927,
|
| 910 |
+
"grad_norm": 1.1537855863571167,
|
| 911 |
+
"learning_rate": 0.0002,
|
| 912 |
+
"loss": 0.8771,
|
| 913 |
+
"step": 1280
|
| 914 |
+
},
|
| 915 |
+
{
|
| 916 |
+
"epoch": 1.7456021650879567,
|
| 917 |
+
"grad_norm": 0.9637187719345093,
|
| 918 |
+
"learning_rate": 0.0002,
|
| 919 |
+
"loss": 0.8655,
|
| 920 |
+
"step": 1290
|
| 921 |
+
},
|
| 922 |
+
{
|
| 923 |
+
"epoch": 1.7591339648173205,
|
| 924 |
+
"grad_norm": 1.1610347032546997,
|
| 925 |
+
"learning_rate": 0.0002,
|
| 926 |
+
"loss": 0.9641,
|
| 927 |
+
"step": 1300
|
| 928 |
+
},
|
| 929 |
+
{
|
| 930 |
+
"epoch": 1.7726657645466846,
|
| 931 |
+
"grad_norm": 0.717607319355011,
|
| 932 |
+
"learning_rate": 0.0002,
|
| 933 |
+
"loss": 0.9417,
|
| 934 |
+
"step": 1310
|
| 935 |
+
},
|
| 936 |
+
{
|
| 937 |
+
"epoch": 1.7861975642760486,
|
| 938 |
+
"grad_norm": 1.753371238708496,
|
| 939 |
+
"learning_rate": 0.0002,
|
| 940 |
+
"loss": 0.8852,
|
| 941 |
+
"step": 1320
|
| 942 |
+
},
|
| 943 |
+
{
|
| 944 |
+
"epoch": 1.7997293640054126,
|
| 945 |
+
"grad_norm": 0.7919637560844421,
|
| 946 |
+
"learning_rate": 0.0002,
|
| 947 |
+
"loss": 1.0327,
|
| 948 |
+
"step": 1330
|
| 949 |
+
},
|
| 950 |
+
{
|
| 951 |
+
"epoch": 1.8132611637347766,
|
| 952 |
+
"grad_norm": 1.1091023683547974,
|
| 953 |
+
"learning_rate": 0.0002,
|
| 954 |
+
"loss": 1.0019,
|
| 955 |
+
"step": 1340
|
| 956 |
+
},
|
| 957 |
+
{
|
| 958 |
+
"epoch": 1.8267929634641407,
|
| 959 |
+
"grad_norm": 0.7157362699508667,
|
| 960 |
+
"learning_rate": 0.0002,
|
| 961 |
+
"loss": 0.9457,
|
| 962 |
+
"step": 1350
|
| 963 |
+
},
|
| 964 |
+
{
|
| 965 |
+
"epoch": 1.8403247631935047,
|
| 966 |
+
"grad_norm": 0.9538856744766235,
|
| 967 |
+
"learning_rate": 0.0002,
|
| 968 |
+
"loss": 0.9818,
|
| 969 |
+
"step": 1360
|
| 970 |
+
},
|
| 971 |
+
{
|
| 972 |
+
"epoch": 1.8538565629228687,
|
| 973 |
+
"grad_norm": 1.689642071723938,
|
| 974 |
+
"learning_rate": 0.0002,
|
| 975 |
+
"loss": 0.9321,
|
| 976 |
+
"step": 1370
|
| 977 |
+
},
|
| 978 |
+
{
|
| 979 |
+
"epoch": 1.8673883626522327,
|
| 980 |
+
"grad_norm": 1.3405762910842896,
|
| 981 |
+
"learning_rate": 0.0002,
|
| 982 |
+
"loss": 0.9577,
|
| 983 |
+
"step": 1380
|
| 984 |
+
},
|
| 985 |
+
{
|
| 986 |
+
"epoch": 1.8809201623815968,
|
| 987 |
+
"grad_norm": 1.187905192375183,
|
| 988 |
+
"learning_rate": 0.0002,
|
| 989 |
+
"loss": 0.9279,
|
| 990 |
+
"step": 1390
|
| 991 |
+
},
|
| 992 |
+
{
|
| 993 |
+
"epoch": 1.8944519621109608,
|
| 994 |
+
"grad_norm": 1.403511643409729,
|
| 995 |
+
"learning_rate": 0.0002,
|
| 996 |
+
"loss": 0.9266,
|
| 997 |
+
"step": 1400
|
| 998 |
+
},
|
| 999 |
+
{
|
| 1000 |
+
"epoch": 1.9079837618403248,
|
| 1001 |
+
"grad_norm": 1.4245457649230957,
|
| 1002 |
+
"learning_rate": 0.0002,
|
| 1003 |
+
"loss": 0.9654,
|
| 1004 |
+
"step": 1410
|
| 1005 |
+
},
|
| 1006 |
+
{
|
| 1007 |
+
"epoch": 1.9215155615696888,
|
| 1008 |
+
"grad_norm": 0.6742255687713623,
|
| 1009 |
+
"learning_rate": 0.0002,
|
| 1010 |
+
"loss": 0.9047,
|
| 1011 |
+
"step": 1420
|
| 1012 |
+
},
|
| 1013 |
+
{
|
| 1014 |
+
"epoch": 1.9350473612990529,
|
| 1015 |
+
"grad_norm": 0.9301473498344421,
|
| 1016 |
+
"learning_rate": 0.0002,
|
| 1017 |
+
"loss": 0.9837,
|
| 1018 |
+
"step": 1430
|
| 1019 |
+
},
|
| 1020 |
+
{
|
| 1021 |
+
"epoch": 1.9485791610284169,
|
| 1022 |
+
"grad_norm": 0.8039385080337524,
|
| 1023 |
+
"learning_rate": 0.0002,
|
| 1024 |
+
"loss": 0.9579,
|
| 1025 |
+
"step": 1440
|
| 1026 |
+
},
|
| 1027 |
+
{
|
| 1028 |
+
"epoch": 1.962110960757781,
|
| 1029 |
+
"grad_norm": 0.7449126839637756,
|
| 1030 |
+
"learning_rate": 0.0002,
|
| 1031 |
+
"loss": 0.9433,
|
| 1032 |
+
"step": 1450
|
| 1033 |
+
},
|
| 1034 |
+
{
|
| 1035 |
+
"epoch": 1.975642760487145,
|
| 1036 |
+
"grad_norm": 1.8016695976257324,
|
| 1037 |
+
"learning_rate": 0.0002,
|
| 1038 |
+
"loss": 0.9424,
|
| 1039 |
+
"step": 1460
|
| 1040 |
+
},
|
| 1041 |
+
{
|
| 1042 |
+
"epoch": 1.989174560216509,
|
| 1043 |
+
"grad_norm": 1.3347259759902954,
|
| 1044 |
+
"learning_rate": 0.0002,
|
| 1045 |
+
"loss": 0.9434,
|
| 1046 |
+
"step": 1470
|
| 1047 |
+
},
|
| 1048 |
+
{
|
| 1049 |
+
"epoch": 2.0,
|
| 1050 |
+
"eval_loss": 1.28184974193573,
|
| 1051 |
+
"eval_runtime": 54.9872,
|
| 1052 |
+
"eval_samples_per_second": 8.293,
|
| 1053 |
+
"eval_steps_per_second": 1.037,
|
| 1054 |
+
"step": 1478
|
| 1055 |
+
},
|
| 1056 |
+
{
|
| 1057 |
+
"epoch": 2.002706359945873,
|
| 1058 |
+
"grad_norm": 1.1238535642623901,
|
| 1059 |
+
"learning_rate": 0.0002,
|
| 1060 |
+
"loss": 0.8667,
|
| 1061 |
+
"step": 1480
|
| 1062 |
+
},
|
| 1063 |
+
{
|
| 1064 |
+
"epoch": 2.016238159675237,
|
| 1065 |
+
"grad_norm": 0.9186404943466187,
|
| 1066 |
+
"learning_rate": 0.0002,
|
| 1067 |
+
"loss": 0.741,
|
| 1068 |
+
"step": 1490
|
| 1069 |
+
},
|
| 1070 |
+
{
|
| 1071 |
+
"epoch": 2.029769959404601,
|
| 1072 |
+
"grad_norm": 1.42500901222229,
|
| 1073 |
+
"learning_rate": 0.0002,
|
| 1074 |
+
"loss": 0.7402,
|
| 1075 |
+
"step": 1500
|
| 1076 |
+
},
|
| 1077 |
+
{
|
| 1078 |
+
"epoch": 2.0433017591339646,
|
| 1079 |
+
"grad_norm": 0.9018896222114563,
|
| 1080 |
+
"learning_rate": 0.0002,
|
| 1081 |
+
"loss": 0.6594,
|
| 1082 |
+
"step": 1510
|
| 1083 |
+
},
|
| 1084 |
+
{
|
| 1085 |
+
"epoch": 2.0568335588633286,
|
| 1086 |
+
"grad_norm": 0.9482589364051819,
|
| 1087 |
+
"learning_rate": 0.0002,
|
| 1088 |
+
"loss": 0.7973,
|
| 1089 |
+
"step": 1520
|
| 1090 |
+
},
|
| 1091 |
+
{
|
| 1092 |
+
"epoch": 2.0703653585926927,
|
| 1093 |
+
"grad_norm": 1.7364821434020996,
|
| 1094 |
+
"learning_rate": 0.0002,
|
| 1095 |
+
"loss": 0.7494,
|
| 1096 |
+
"step": 1530
|
| 1097 |
+
},
|
| 1098 |
+
{
|
| 1099 |
+
"epoch": 2.0838971583220567,
|
| 1100 |
+
"grad_norm": 1.1600096225738525,
|
| 1101 |
+
"learning_rate": 0.0002,
|
| 1102 |
+
"loss": 0.6691,
|
| 1103 |
+
"step": 1540
|
| 1104 |
+
},
|
| 1105 |
+
{
|
| 1106 |
+
"epoch": 2.0974289580514207,
|
| 1107 |
+
"grad_norm": 1.1180989742279053,
|
| 1108 |
+
"learning_rate": 0.0002,
|
| 1109 |
+
"loss": 0.7443,
|
| 1110 |
+
"step": 1550
|
| 1111 |
+
},
|
| 1112 |
+
{
|
| 1113 |
+
"epoch": 2.1109607577807847,
|
| 1114 |
+
"grad_norm": 0.7978046536445618,
|
| 1115 |
+
"learning_rate": 0.0002,
|
| 1116 |
+
"loss": 0.7261,
|
| 1117 |
+
"step": 1560
|
| 1118 |
+
},
|
| 1119 |
+
{
|
| 1120 |
+
"epoch": 2.1244925575101488,
|
| 1121 |
+
"grad_norm": 0.9089515805244446,
|
| 1122 |
+
"learning_rate": 0.0002,
|
| 1123 |
+
"loss": 0.7659,
|
| 1124 |
+
"step": 1570
|
| 1125 |
+
},
|
| 1126 |
+
{
|
| 1127 |
+
"epoch": 2.138024357239513,
|
| 1128 |
+
"grad_norm": 1.2802879810333252,
|
| 1129 |
+
"learning_rate": 0.0002,
|
| 1130 |
+
"loss": 0.7751,
|
| 1131 |
+
"step": 1580
|
| 1132 |
+
},
|
| 1133 |
+
{
|
| 1134 |
+
"epoch": 2.151556156968877,
|
| 1135 |
+
"grad_norm": 1.1321839094161987,
|
| 1136 |
+
"learning_rate": 0.0002,
|
| 1137 |
+
"loss": 0.7744,
|
| 1138 |
+
"step": 1590
|
| 1139 |
+
},
|
| 1140 |
+
{
|
| 1141 |
+
"epoch": 2.165087956698241,
|
| 1142 |
+
"grad_norm": 0.9985150098800659,
|
| 1143 |
+
"learning_rate": 0.0002,
|
| 1144 |
+
"loss": 0.699,
|
| 1145 |
+
"step": 1600
|
| 1146 |
+
},
|
| 1147 |
+
{
|
| 1148 |
+
"epoch": 2.178619756427605,
|
| 1149 |
+
"grad_norm": 1.1864978075027466,
|
| 1150 |
+
"learning_rate": 0.0002,
|
| 1151 |
+
"loss": 0.7497,
|
| 1152 |
+
"step": 1610
|
| 1153 |
+
},
|
| 1154 |
+
{
|
| 1155 |
+
"epoch": 2.192151556156969,
|
| 1156 |
+
"grad_norm": 1.0220770835876465,
|
| 1157 |
+
"learning_rate": 0.0002,
|
| 1158 |
+
"loss": 0.7648,
|
| 1159 |
+
"step": 1620
|
| 1160 |
+
},
|
| 1161 |
+
{
|
| 1162 |
+
"epoch": 2.205683355886333,
|
| 1163 |
+
"grad_norm": 1.075281023979187,
|
| 1164 |
+
"learning_rate": 0.0002,
|
| 1165 |
+
"loss": 0.7786,
|
| 1166 |
+
"step": 1630
|
| 1167 |
+
},
|
| 1168 |
+
{
|
| 1169 |
+
"epoch": 2.219215155615697,
|
| 1170 |
+
"grad_norm": 1.7539390325546265,
|
| 1171 |
+
"learning_rate": 0.0002,
|
| 1172 |
+
"loss": 0.7169,
|
| 1173 |
+
"step": 1640
|
| 1174 |
+
},
|
| 1175 |
+
{
|
| 1176 |
+
"epoch": 2.232746955345061,
|
| 1177 |
+
"grad_norm": 0.9327954053878784,
|
| 1178 |
+
"learning_rate": 0.0002,
|
| 1179 |
+
"loss": 0.7145,
|
| 1180 |
+
"step": 1650
|
| 1181 |
+
},
|
| 1182 |
+
{
|
| 1183 |
+
"epoch": 2.246278755074425,
|
| 1184 |
+
"grad_norm": 1.1239676475524902,
|
| 1185 |
+
"learning_rate": 0.0002,
|
| 1186 |
+
"loss": 0.7096,
|
| 1187 |
+
"step": 1660
|
| 1188 |
+
},
|
| 1189 |
+
{
|
| 1190 |
+
"epoch": 2.259810554803789,
|
| 1191 |
+
"grad_norm": 0.887867271900177,
|
| 1192 |
+
"learning_rate": 0.0002,
|
| 1193 |
+
"loss": 0.7516,
|
| 1194 |
+
"step": 1670
|
| 1195 |
+
},
|
| 1196 |
+
{
|
| 1197 |
+
"epoch": 2.273342354533153,
|
| 1198 |
+
"grad_norm": 0.9934070110321045,
|
| 1199 |
+
"learning_rate": 0.0002,
|
| 1200 |
+
"loss": 0.737,
|
| 1201 |
+
"step": 1680
|
| 1202 |
+
},
|
| 1203 |
+
{
|
| 1204 |
+
"epoch": 2.286874154262517,
|
| 1205 |
+
"grad_norm": 1.1046375036239624,
|
| 1206 |
+
"learning_rate": 0.0002,
|
| 1207 |
+
"loss": 0.7891,
|
| 1208 |
+
"step": 1690
|
| 1209 |
+
},
|
| 1210 |
+
{
|
| 1211 |
+
"epoch": 2.300405953991881,
|
| 1212 |
+
"grad_norm": 1.3520793914794922,
|
| 1213 |
+
"learning_rate": 0.0002,
|
| 1214 |
+
"loss": 0.7123,
|
| 1215 |
+
"step": 1700
|
| 1216 |
+
},
|
| 1217 |
+
{
|
| 1218 |
+
"epoch": 2.313937753721245,
|
| 1219 |
+
"grad_norm": 1.0396424531936646,
|
| 1220 |
+
"learning_rate": 0.0002,
|
| 1221 |
+
"loss": 0.722,
|
| 1222 |
+
"step": 1710
|
| 1223 |
+
},
|
| 1224 |
+
{
|
| 1225 |
+
"epoch": 2.3274695534506087,
|
| 1226 |
+
"grad_norm": 1.312713861465454,
|
| 1227 |
+
"learning_rate": 0.0002,
|
| 1228 |
+
"loss": 0.7645,
|
| 1229 |
+
"step": 1720
|
| 1230 |
+
},
|
| 1231 |
+
{
|
| 1232 |
+
"epoch": 2.3410013531799727,
|
| 1233 |
+
"grad_norm": 1.2425963878631592,
|
| 1234 |
+
"learning_rate": 0.0002,
|
| 1235 |
+
"loss": 0.7743,
|
| 1236 |
+
"step": 1730
|
| 1237 |
+
},
|
| 1238 |
+
{
|
| 1239 |
+
"epoch": 2.3545331529093367,
|
| 1240 |
+
"grad_norm": 1.0335496664047241,
|
| 1241 |
+
"learning_rate": 0.0002,
|
| 1242 |
+
"loss": 0.7069,
|
| 1243 |
+
"step": 1740
|
| 1244 |
+
},
|
| 1245 |
+
{
|
| 1246 |
+
"epoch": 2.3680649526387008,
|
| 1247 |
+
"grad_norm": 0.8289833664894104,
|
| 1248 |
+
"learning_rate": 0.0002,
|
| 1249 |
+
"loss": 0.763,
|
| 1250 |
+
"step": 1750
|
| 1251 |
+
},
|
| 1252 |
+
{
|
| 1253 |
+
"epoch": 2.381596752368065,
|
| 1254 |
+
"grad_norm": 1.1725471019744873,
|
| 1255 |
+
"learning_rate": 0.0002,
|
| 1256 |
+
"loss": 0.749,
|
| 1257 |
+
"step": 1760
|
| 1258 |
+
},
|
| 1259 |
+
{
|
| 1260 |
+
"epoch": 2.395128552097429,
|
| 1261 |
+
"grad_norm": 1.10824716091156,
|
| 1262 |
+
"learning_rate": 0.0002,
|
| 1263 |
+
"loss": 0.7842,
|
| 1264 |
+
"step": 1770
|
| 1265 |
+
},
|
| 1266 |
+
{
|
| 1267 |
+
"epoch": 2.408660351826793,
|
| 1268 |
+
"grad_norm": 1.027957797050476,
|
| 1269 |
+
"learning_rate": 0.0002,
|
| 1270 |
+
"loss": 0.8115,
|
| 1271 |
+
"step": 1780
|
| 1272 |
+
},
|
| 1273 |
+
{
|
| 1274 |
+
"epoch": 2.422192151556157,
|
| 1275 |
+
"grad_norm": 1.4744906425476074,
|
| 1276 |
+
"learning_rate": 0.0002,
|
| 1277 |
+
"loss": 0.7529,
|
| 1278 |
+
"step": 1790
|
| 1279 |
+
},
|
| 1280 |
+
{
|
| 1281 |
+
"epoch": 2.435723951285521,
|
| 1282 |
+
"grad_norm": 2.044746160507202,
|
| 1283 |
+
"learning_rate": 0.0002,
|
| 1284 |
+
"loss": 0.7146,
|
| 1285 |
+
"step": 1800
|
| 1286 |
+
},
|
| 1287 |
+
{
|
| 1288 |
+
"epoch": 2.449255751014885,
|
| 1289 |
+
"grad_norm": 0.9940636157989502,
|
| 1290 |
+
"learning_rate": 0.0002,
|
| 1291 |
+
"loss": 0.6738,
|
| 1292 |
+
"step": 1810
|
| 1293 |
+
},
|
| 1294 |
+
{
|
| 1295 |
+
"epoch": 2.462787550744249,
|
| 1296 |
+
"grad_norm": 1.2338303327560425,
|
| 1297 |
+
"learning_rate": 0.0002,
|
| 1298 |
+
"loss": 0.8233,
|
| 1299 |
+
"step": 1820
|
| 1300 |
+
},
|
| 1301 |
+
{
|
| 1302 |
+
"epoch": 2.476319350473613,
|
| 1303 |
+
"grad_norm": 1.1820061206817627,
|
| 1304 |
+
"learning_rate": 0.0002,
|
| 1305 |
+
"loss": 0.6409,
|
| 1306 |
+
"step": 1830
|
| 1307 |
+
},
|
| 1308 |
+
{
|
| 1309 |
+
"epoch": 2.489851150202977,
|
| 1310 |
+
"grad_norm": 1.5557365417480469,
|
| 1311 |
+
"learning_rate": 0.0002,
|
| 1312 |
+
"loss": 0.7744,
|
| 1313 |
+
"step": 1840
|
| 1314 |
+
},
|
| 1315 |
+
{
|
| 1316 |
+
"epoch": 2.503382949932341,
|
| 1317 |
+
"grad_norm": 0.927599310874939,
|
| 1318 |
+
"learning_rate": 0.0002,
|
| 1319 |
+
"loss": 0.742,
|
| 1320 |
+
"step": 1850
|
| 1321 |
+
},
|
| 1322 |
+
{
|
| 1323 |
+
"epoch": 2.516914749661705,
|
| 1324 |
+
"grad_norm": 1.384813666343689,
|
| 1325 |
+
"learning_rate": 0.0002,
|
| 1326 |
+
"loss": 0.7683,
|
| 1327 |
+
"step": 1860
|
| 1328 |
+
},
|
| 1329 |
+
{
|
| 1330 |
+
"epoch": 2.530446549391069,
|
| 1331 |
+
"grad_norm": 1.0022202730178833,
|
| 1332 |
+
"learning_rate": 0.0002,
|
| 1333 |
+
"loss": 0.7841,
|
| 1334 |
+
"step": 1870
|
| 1335 |
+
},
|
| 1336 |
+
{
|
| 1337 |
+
"epoch": 2.543978349120433,
|
| 1338 |
+
"grad_norm": 1.0271503925323486,
|
| 1339 |
+
"learning_rate": 0.0002,
|
| 1340 |
+
"loss": 0.7422,
|
| 1341 |
+
"step": 1880
|
| 1342 |
+
},
|
| 1343 |
+
{
|
| 1344 |
+
"epoch": 2.557510148849797,
|
| 1345 |
+
"grad_norm": 1.2724764347076416,
|
| 1346 |
+
"learning_rate": 0.0002,
|
| 1347 |
+
"loss": 0.7513,
|
| 1348 |
+
"step": 1890
|
| 1349 |
+
},
|
| 1350 |
+
{
|
| 1351 |
+
"epoch": 2.571041948579161,
|
| 1352 |
+
"grad_norm": 0.9063859581947327,
|
| 1353 |
+
"learning_rate": 0.0002,
|
| 1354 |
+
"loss": 0.7594,
|
| 1355 |
+
"step": 1900
|
| 1356 |
+
},
|
| 1357 |
+
{
|
| 1358 |
+
"epoch": 2.584573748308525,
|
| 1359 |
+
"grad_norm": 0.9433910250663757,
|
| 1360 |
+
"learning_rate": 0.0002,
|
| 1361 |
+
"loss": 0.7423,
|
| 1362 |
+
"step": 1910
|
| 1363 |
+
},
|
| 1364 |
+
{
|
| 1365 |
+
"epoch": 2.598105548037889,
|
| 1366 |
+
"grad_norm": 0.8303482532501221,
|
| 1367 |
+
"learning_rate": 0.0002,
|
| 1368 |
+
"loss": 0.6833,
|
| 1369 |
+
"step": 1920
|
| 1370 |
+
},
|
| 1371 |
+
{
|
| 1372 |
+
"epoch": 2.611637347767253,
|
| 1373 |
+
"grad_norm": 1.16862952709198,
|
| 1374 |
+
"learning_rate": 0.0002,
|
| 1375 |
+
"loss": 0.7145,
|
| 1376 |
+
"step": 1930
|
| 1377 |
+
},
|
| 1378 |
+
{
|
| 1379 |
+
"epoch": 2.6251691474966172,
|
| 1380 |
+
"grad_norm": 0.8904703855514526,
|
| 1381 |
+
"learning_rate": 0.0002,
|
| 1382 |
+
"loss": 0.7544,
|
| 1383 |
+
"step": 1940
|
| 1384 |
+
},
|
| 1385 |
+
{
|
| 1386 |
+
"epoch": 2.6387009472259813,
|
| 1387 |
+
"grad_norm": 1.2958505153656006,
|
| 1388 |
+
"learning_rate": 0.0002,
|
| 1389 |
+
"loss": 0.7339,
|
| 1390 |
+
"step": 1950
|
| 1391 |
+
},
|
| 1392 |
+
{
|
| 1393 |
+
"epoch": 2.6522327469553453,
|
| 1394 |
+
"grad_norm": 1.2310389280319214,
|
| 1395 |
+
"learning_rate": 0.0002,
|
| 1396 |
+
"loss": 0.7502,
|
| 1397 |
+
"step": 1960
|
| 1398 |
+
},
|
| 1399 |
+
{
|
| 1400 |
+
"epoch": 2.6657645466847093,
|
| 1401 |
+
"grad_norm": 1.3157947063446045,
|
| 1402 |
+
"learning_rate": 0.0002,
|
| 1403 |
+
"loss": 0.8305,
|
| 1404 |
+
"step": 1970
|
| 1405 |
+
},
|
| 1406 |
+
{
|
| 1407 |
+
"epoch": 2.6792963464140733,
|
| 1408 |
+
"grad_norm": 0.9247841238975525,
|
| 1409 |
+
"learning_rate": 0.0002,
|
| 1410 |
+
"loss": 0.7348,
|
| 1411 |
+
"step": 1980
|
| 1412 |
+
},
|
| 1413 |
+
{
|
| 1414 |
+
"epoch": 2.6928281461434374,
|
| 1415 |
+
"grad_norm": 0.9850119352340698,
|
| 1416 |
+
"learning_rate": 0.0002,
|
| 1417 |
+
"loss": 0.7352,
|
| 1418 |
+
"step": 1990
|
| 1419 |
+
},
|
| 1420 |
+
{
|
| 1421 |
+
"epoch": 2.706359945872801,
|
| 1422 |
+
"grad_norm": 1.59624183177948,
|
| 1423 |
+
"learning_rate": 0.0002,
|
| 1424 |
+
"loss": 0.7794,
|
| 1425 |
+
"step": 2000
|
| 1426 |
+
},
|
| 1427 |
+
{
|
| 1428 |
+
"epoch": 2.719891745602165,
|
| 1429 |
+
"grad_norm": 1.791932225227356,
|
| 1430 |
+
"learning_rate": 0.0002,
|
| 1431 |
+
"loss": 0.6918,
|
| 1432 |
+
"step": 2010
|
| 1433 |
+
},
|
| 1434 |
+
{
|
| 1435 |
+
"epoch": 2.733423545331529,
|
| 1436 |
+
"grad_norm": 0.8530828356742859,
|
| 1437 |
+
"learning_rate": 0.0002,
|
| 1438 |
+
"loss": 0.7616,
|
| 1439 |
+
"step": 2020
|
| 1440 |
+
},
|
| 1441 |
+
{
|
| 1442 |
+
"epoch": 2.746955345060893,
|
| 1443 |
+
"grad_norm": 1.431843638420105,
|
| 1444 |
+
"learning_rate": 0.0002,
|
| 1445 |
+
"loss": 0.8028,
|
| 1446 |
+
"step": 2030
|
| 1447 |
+
},
|
| 1448 |
+
{
|
| 1449 |
+
"epoch": 2.760487144790257,
|
| 1450 |
+
"grad_norm": 1.1818324327468872,
|
| 1451 |
+
"learning_rate": 0.0002,
|
| 1452 |
+
"loss": 0.7403,
|
| 1453 |
+
"step": 2040
|
| 1454 |
+
},
|
| 1455 |
+
{
|
| 1456 |
+
"epoch": 2.774018944519621,
|
| 1457 |
+
"grad_norm": 1.0456408262252808,
|
| 1458 |
+
"learning_rate": 0.0002,
|
| 1459 |
+
"loss": 0.6752,
|
| 1460 |
+
"step": 2050
|
| 1461 |
+
},
|
| 1462 |
+
{
|
| 1463 |
+
"epoch": 2.787550744248985,
|
| 1464 |
+
"grad_norm": 1.5935403108596802,
|
| 1465 |
+
"learning_rate": 0.0002,
|
| 1466 |
+
"loss": 0.7771,
|
| 1467 |
+
"step": 2060
|
| 1468 |
+
},
|
| 1469 |
+
{
|
| 1470 |
+
"epoch": 2.801082543978349,
|
| 1471 |
+
"grad_norm": 1.6653326749801636,
|
| 1472 |
+
"learning_rate": 0.0002,
|
| 1473 |
+
"loss": 0.722,
|
| 1474 |
+
"step": 2070
|
| 1475 |
+
},
|
| 1476 |
+
{
|
| 1477 |
+
"epoch": 2.814614343707713,
|
| 1478 |
+
"grad_norm": 1.2409698963165283,
|
| 1479 |
+
"learning_rate": 0.0002,
|
| 1480 |
+
"loss": 0.7553,
|
| 1481 |
+
"step": 2080
|
| 1482 |
+
},
|
| 1483 |
+
{
|
| 1484 |
+
"epoch": 2.828146143437077,
|
| 1485 |
+
"grad_norm": 0.8511452674865723,
|
| 1486 |
+
"learning_rate": 0.0002,
|
| 1487 |
+
"loss": 0.7483,
|
| 1488 |
+
"step": 2090
|
| 1489 |
+
},
|
| 1490 |
+
{
|
| 1491 |
+
"epoch": 2.841677943166441,
|
| 1492 |
+
"grad_norm": 1.1064083576202393,
|
| 1493 |
+
"learning_rate": 0.0002,
|
| 1494 |
+
"loss": 0.7773,
|
| 1495 |
+
"step": 2100
|
| 1496 |
+
},
|
| 1497 |
+
{
|
| 1498 |
+
"epoch": 2.855209742895805,
|
| 1499 |
+
"grad_norm": 1.5252450704574585,
|
| 1500 |
+
"learning_rate": 0.0002,
|
| 1501 |
+
"loss": 0.8025,
|
| 1502 |
+
"step": 2110
|
| 1503 |
+
},
|
| 1504 |
+
{
|
| 1505 |
+
"epoch": 2.8687415426251692,
|
| 1506 |
+
"grad_norm": 1.8477630615234375,
|
| 1507 |
+
"learning_rate": 0.0002,
|
| 1508 |
+
"loss": 0.7342,
|
| 1509 |
+
"step": 2120
|
| 1510 |
+
},
|
| 1511 |
+
{
|
| 1512 |
+
"epoch": 2.8822733423545333,
|
| 1513 |
+
"grad_norm": 1.8251630067825317,
|
| 1514 |
+
"learning_rate": 0.0002,
|
| 1515 |
+
"loss": 1.0005,
|
| 1516 |
+
"step": 2130
|
| 1517 |
+
},
|
| 1518 |
+
{
|
| 1519 |
+
"epoch": 2.8958051420838973,
|
| 1520 |
+
"grad_norm": 2.0696771144866943,
|
| 1521 |
+
"learning_rate": 0.0002,
|
| 1522 |
+
"loss": 0.8036,
|
| 1523 |
+
"step": 2140
|
| 1524 |
+
},
|
| 1525 |
+
{
|
| 1526 |
+
"epoch": 2.9093369418132613,
|
| 1527 |
+
"grad_norm": 1.0875508785247803,
|
| 1528 |
+
"learning_rate": 0.0002,
|
| 1529 |
+
"loss": 0.7561,
|
| 1530 |
+
"step": 2150
|
| 1531 |
+
},
|
| 1532 |
+
{
|
| 1533 |
+
"epoch": 2.9228687415426253,
|
| 1534 |
+
"grad_norm": 1.1486080884933472,
|
| 1535 |
+
"learning_rate": 0.0002,
|
| 1536 |
+
"loss": 0.808,
|
| 1537 |
+
"step": 2160
|
| 1538 |
+
},
|
| 1539 |
+
{
|
| 1540 |
+
"epoch": 2.936400541271989,
|
| 1541 |
+
"grad_norm": 1.3913694620132446,
|
| 1542 |
+
"learning_rate": 0.0002,
|
| 1543 |
+
"loss": 0.7418,
|
| 1544 |
+
"step": 2170
|
| 1545 |
+
},
|
| 1546 |
+
{
|
| 1547 |
+
"epoch": 2.949932341001353,
|
| 1548 |
+
"grad_norm": 1.0237643718719482,
|
| 1549 |
+
"learning_rate": 0.0002,
|
| 1550 |
+
"loss": 0.7829,
|
| 1551 |
+
"step": 2180
|
| 1552 |
+
},
|
| 1553 |
+
{
|
| 1554 |
+
"epoch": 2.963464140730717,
|
| 1555 |
+
"grad_norm": 1.0060926675796509,
|
| 1556 |
+
"learning_rate": 0.0002,
|
| 1557 |
+
"loss": 0.8717,
|
| 1558 |
+
"step": 2190
|
| 1559 |
+
},
|
| 1560 |
+
{
|
| 1561 |
+
"epoch": 2.976995940460081,
|
| 1562 |
+
"grad_norm": 0.8395462036132812,
|
| 1563 |
+
"learning_rate": 0.0002,
|
| 1564 |
+
"loss": 0.7581,
|
| 1565 |
+
"step": 2200
|
| 1566 |
+
},
|
| 1567 |
+
{
|
| 1568 |
+
"epoch": 2.990527740189445,
|
| 1569 |
+
"grad_norm": 1.4483158588409424,
|
| 1570 |
+
"learning_rate": 0.0002,
|
| 1571 |
+
"loss": 0.7032,
|
| 1572 |
+
"step": 2210
|
| 1573 |
+
},
|
| 1574 |
+
{
|
| 1575 |
+
"epoch": 3.0,
|
| 1576 |
+
"eval_loss": 1.3191189765930176,
|
| 1577 |
+
"eval_runtime": 53.5323,
|
| 1578 |
+
"eval_samples_per_second": 8.518,
|
| 1579 |
+
"eval_steps_per_second": 1.065,
|
| 1580 |
+
"step": 2217
|
| 1581 |
+
},
|
| 1582 |
+
{
|
| 1583 |
+
"epoch": 3.004059539918809,
|
| 1584 |
+
"grad_norm": 0.9717937111854553,
|
| 1585 |
+
"learning_rate": 0.0002,
|
| 1586 |
+
"loss": 0.6775,
|
| 1587 |
+
"step": 2220
|
| 1588 |
+
},
|
| 1589 |
+
{
|
| 1590 |
+
"epoch": 3.017591339648173,
|
| 1591 |
+
"grad_norm": 1.2057876586914062,
|
| 1592 |
+
"learning_rate": 0.0002,
|
| 1593 |
+
"loss": 0.6059,
|
| 1594 |
+
"step": 2230
|
| 1595 |
+
},
|
| 1596 |
+
{
|
| 1597 |
+
"epoch": 3.031123139377537,
|
| 1598 |
+
"grad_norm": 1.2295159101486206,
|
| 1599 |
+
"learning_rate": 0.0002,
|
| 1600 |
+
"loss": 0.5764,
|
| 1601 |
+
"step": 2240
|
| 1602 |
+
},
|
| 1603 |
+
{
|
| 1604 |
+
"epoch": 3.044654939106901,
|
| 1605 |
+
"grad_norm": 1.1200335025787354,
|
| 1606 |
+
"learning_rate": 0.0002,
|
| 1607 |
+
"loss": 0.5088,
|
| 1608 |
+
"step": 2250
|
| 1609 |
+
},
|
| 1610 |
+
{
|
| 1611 |
+
"epoch": 3.058186738836265,
|
| 1612 |
+
"grad_norm": 1.3113594055175781,
|
| 1613 |
+
"learning_rate": 0.0002,
|
| 1614 |
+
"loss": 0.5464,
|
| 1615 |
+
"step": 2260
|
| 1616 |
+
},
|
| 1617 |
+
{
|
| 1618 |
+
"epoch": 3.071718538565629,
|
| 1619 |
+
"grad_norm": 1.3074201345443726,
|
| 1620 |
+
"learning_rate": 0.0002,
|
| 1621 |
+
"loss": 0.5959,
|
| 1622 |
+
"step": 2270
|
| 1623 |
+
},
|
| 1624 |
+
{
|
| 1625 |
+
"epoch": 3.085250338294993,
|
| 1626 |
+
"grad_norm": 1.7636418342590332,
|
| 1627 |
+
"learning_rate": 0.0002,
|
| 1628 |
+
"loss": 0.642,
|
| 1629 |
+
"step": 2280
|
| 1630 |
+
},
|
| 1631 |
+
{
|
| 1632 |
+
"epoch": 3.098782138024357,
|
| 1633 |
+
"grad_norm": 1.2225017547607422,
|
| 1634 |
+
"learning_rate": 0.0002,
|
| 1635 |
+
"loss": 0.5645,
|
| 1636 |
+
"step": 2290
|
| 1637 |
+
},
|
| 1638 |
+
{
|
| 1639 |
+
"epoch": 3.1123139377537212,
|
| 1640 |
+
"grad_norm": 1.062538743019104,
|
| 1641 |
+
"learning_rate": 0.0002,
|
| 1642 |
+
"loss": 0.5587,
|
| 1643 |
+
"step": 2300
|
| 1644 |
+
},
|
| 1645 |
+
{
|
| 1646 |
+
"epoch": 3.1258457374830853,
|
| 1647 |
+
"grad_norm": 1.9475018978118896,
|
| 1648 |
+
"learning_rate": 0.0002,
|
| 1649 |
+
"loss": 0.5426,
|
| 1650 |
+
"step": 2310
|
| 1651 |
+
},
|
| 1652 |
+
{
|
| 1653 |
+
"epoch": 3.1393775372124493,
|
| 1654 |
+
"grad_norm": 1.3695366382598877,
|
| 1655 |
+
"learning_rate": 0.0002,
|
| 1656 |
+
"loss": 0.5028,
|
| 1657 |
+
"step": 2320
|
| 1658 |
+
},
|
| 1659 |
+
{
|
| 1660 |
+
"epoch": 3.1529093369418133,
|
| 1661 |
+
"grad_norm": 1.4610179662704468,
|
| 1662 |
+
"learning_rate": 0.0002,
|
| 1663 |
+
"loss": 0.6278,
|
| 1664 |
+
"step": 2330
|
| 1665 |
+
},
|
| 1666 |
+
{
|
| 1667 |
+
"epoch": 3.1664411366711773,
|
| 1668 |
+
"grad_norm": 1.1319258213043213,
|
| 1669 |
+
"learning_rate": 0.0002,
|
| 1670 |
+
"loss": 0.6062,
|
| 1671 |
+
"step": 2340
|
| 1672 |
+
},
|
| 1673 |
+
{
|
| 1674 |
+
"epoch": 3.1799729364005414,
|
| 1675 |
+
"grad_norm": 1.8418315649032593,
|
| 1676 |
+
"learning_rate": 0.0002,
|
| 1677 |
+
"loss": 0.5946,
|
| 1678 |
+
"step": 2350
|
| 1679 |
+
},
|
| 1680 |
+
{
|
| 1681 |
+
"epoch": 3.1935047361299054,
|
| 1682 |
+
"grad_norm": 1.0682015419006348,
|
| 1683 |
+
"learning_rate": 0.0002,
|
| 1684 |
+
"loss": 0.6215,
|
| 1685 |
+
"step": 2360
|
| 1686 |
+
},
|
| 1687 |
+
{
|
| 1688 |
+
"epoch": 3.2070365358592694,
|
| 1689 |
+
"grad_norm": 0.9852792024612427,
|
| 1690 |
+
"learning_rate": 0.0002,
|
| 1691 |
+
"loss": 0.5431,
|
| 1692 |
+
"step": 2370
|
| 1693 |
+
},
|
| 1694 |
+
{
|
| 1695 |
+
"epoch": 3.2205683355886334,
|
| 1696 |
+
"grad_norm": 1.447991967201233,
|
| 1697 |
+
"learning_rate": 0.0002,
|
| 1698 |
+
"loss": 0.561,
|
| 1699 |
+
"step": 2380
|
| 1700 |
+
},
|
| 1701 |
+
{
|
| 1702 |
+
"epoch": 3.2341001353179974,
|
| 1703 |
+
"grad_norm": 1.3113367557525635,
|
| 1704 |
+
"learning_rate": 0.0002,
|
| 1705 |
+
"loss": 0.6143,
|
| 1706 |
+
"step": 2390
|
| 1707 |
+
},
|
| 1708 |
+
{
|
| 1709 |
+
"epoch": 3.2476319350473615,
|
| 1710 |
+
"grad_norm": 1.412656307220459,
|
| 1711 |
+
"learning_rate": 0.0002,
|
| 1712 |
+
"loss": 0.6268,
|
| 1713 |
+
"step": 2400
|
| 1714 |
+
},
|
| 1715 |
+
{
|
| 1716 |
+
"epoch": 3.2611637347767255,
|
| 1717 |
+
"grad_norm": 1.41526198387146,
|
| 1718 |
+
"learning_rate": 0.0002,
|
| 1719 |
+
"loss": 0.5883,
|
| 1720 |
+
"step": 2410
|
| 1721 |
+
},
|
| 1722 |
+
{
|
| 1723 |
+
"epoch": 3.2746955345060895,
|
| 1724 |
+
"grad_norm": 1.5622785091400146,
|
| 1725 |
+
"learning_rate": 0.0002,
|
| 1726 |
+
"loss": 0.5242,
|
| 1727 |
+
"step": 2420
|
| 1728 |
+
},
|
| 1729 |
+
{
|
| 1730 |
+
"epoch": 3.2882273342354535,
|
| 1731 |
+
"grad_norm": 1.6155788898468018,
|
| 1732 |
+
"learning_rate": 0.0002,
|
| 1733 |
+
"loss": 0.5536,
|
| 1734 |
+
"step": 2430
|
| 1735 |
+
},
|
| 1736 |
+
{
|
| 1737 |
+
"epoch": 3.301759133964817,
|
| 1738 |
+
"grad_norm": 1.4699913263320923,
|
| 1739 |
+
"learning_rate": 0.0002,
|
| 1740 |
+
"loss": 0.5464,
|
| 1741 |
+
"step": 2440
|
| 1742 |
+
},
|
| 1743 |
+
{
|
| 1744 |
+
"epoch": 3.315290933694181,
|
| 1745 |
+
"grad_norm": 1.0095789432525635,
|
| 1746 |
+
"learning_rate": 0.0002,
|
| 1747 |
+
"loss": 0.6074,
|
| 1748 |
+
"step": 2450
|
| 1749 |
+
},
|
| 1750 |
+
{
|
| 1751 |
+
"epoch": 3.328822733423545,
|
| 1752 |
+
"grad_norm": 1.620950698852539,
|
| 1753 |
+
"learning_rate": 0.0002,
|
| 1754 |
+
"loss": 0.5316,
|
| 1755 |
+
"step": 2460
|
| 1756 |
+
},
|
| 1757 |
+
{
|
| 1758 |
+
"epoch": 3.342354533152909,
|
| 1759 |
+
"grad_norm": 1.4491326808929443,
|
| 1760 |
+
"learning_rate": 0.0002,
|
| 1761 |
+
"loss": 0.6617,
|
| 1762 |
+
"step": 2470
|
| 1763 |
+
},
|
| 1764 |
+
{
|
| 1765 |
+
"epoch": 3.3558863328822732,
|
| 1766 |
+
"grad_norm": 1.9128118753433228,
|
| 1767 |
+
"learning_rate": 0.0002,
|
| 1768 |
+
"loss": 0.5639,
|
| 1769 |
+
"step": 2480
|
| 1770 |
+
},
|
| 1771 |
+
{
|
| 1772 |
+
"epoch": 3.3694181326116373,
|
| 1773 |
+
"grad_norm": 1.36688232421875,
|
| 1774 |
+
"learning_rate": 0.0002,
|
| 1775 |
+
"loss": 0.5958,
|
| 1776 |
+
"step": 2490
|
| 1777 |
+
},
|
| 1778 |
+
{
|
| 1779 |
+
"epoch": 3.3829499323410013,
|
| 1780 |
+
"grad_norm": 1.455443263053894,
|
| 1781 |
+
"learning_rate": 0.0002,
|
| 1782 |
+
"loss": 0.5432,
|
| 1783 |
+
"step": 2500
|
| 1784 |
+
},
|
| 1785 |
+
{
|
| 1786 |
+
"epoch": 3.3964817320703653,
|
| 1787 |
+
"grad_norm": 1.2894777059555054,
|
| 1788 |
+
"learning_rate": 0.0002,
|
| 1789 |
+
"loss": 0.6697,
|
| 1790 |
+
"step": 2510
|
| 1791 |
+
},
|
| 1792 |
+
{
|
| 1793 |
+
"epoch": 3.4100135317997293,
|
| 1794 |
+
"grad_norm": 1.3889403343200684,
|
| 1795 |
+
"learning_rate": 0.0002,
|
| 1796 |
+
"loss": 0.5893,
|
| 1797 |
+
"step": 2520
|
| 1798 |
+
},
|
| 1799 |
+
{
|
| 1800 |
+
"epoch": 3.4235453315290933,
|
| 1801 |
+
"grad_norm": 1.4315358400344849,
|
| 1802 |
+
"learning_rate": 0.0002,
|
| 1803 |
+
"loss": 0.5148,
|
| 1804 |
+
"step": 2530
|
| 1805 |
+
},
|
| 1806 |
+
{
|
| 1807 |
+
"epoch": 3.4370771312584574,
|
| 1808 |
+
"grad_norm": 1.3308886289596558,
|
| 1809 |
+
"learning_rate": 0.0002,
|
| 1810 |
+
"loss": 0.5766,
|
| 1811 |
+
"step": 2540
|
| 1812 |
+
},
|
| 1813 |
+
{
|
| 1814 |
+
"epoch": 3.4506089309878214,
|
| 1815 |
+
"grad_norm": 1.2735179662704468,
|
| 1816 |
+
"learning_rate": 0.0002,
|
| 1817 |
+
"loss": 0.6168,
|
| 1818 |
+
"step": 2550
|
| 1819 |
+
},
|
| 1820 |
+
{
|
| 1821 |
+
"epoch": 3.4641407307171854,
|
| 1822 |
+
"grad_norm": 1.2731887102127075,
|
| 1823 |
+
"learning_rate": 0.0002,
|
| 1824 |
+
"loss": 0.6133,
|
| 1825 |
+
"step": 2560
|
| 1826 |
+
},
|
| 1827 |
+
{
|
| 1828 |
+
"epoch": 3.4776725304465494,
|
| 1829 |
+
"grad_norm": 2.390596628189087,
|
| 1830 |
+
"learning_rate": 0.0002,
|
| 1831 |
+
"loss": 0.5956,
|
| 1832 |
+
"step": 2570
|
| 1833 |
+
},
|
| 1834 |
+
{
|
| 1835 |
+
"epoch": 3.4912043301759135,
|
| 1836 |
+
"grad_norm": 1.3651424646377563,
|
| 1837 |
+
"learning_rate": 0.0002,
|
| 1838 |
+
"loss": 0.576,
|
| 1839 |
+
"step": 2580
|
| 1840 |
+
},
|
| 1841 |
+
{
|
| 1842 |
+
"epoch": 3.5047361299052775,
|
| 1843 |
+
"grad_norm": 0.9903562068939209,
|
| 1844 |
+
"learning_rate": 0.0002,
|
| 1845 |
+
"loss": 0.5456,
|
| 1846 |
+
"step": 2590
|
| 1847 |
+
},
|
| 1848 |
+
{
|
| 1849 |
+
"epoch": 3.5182679296346415,
|
| 1850 |
+
"grad_norm": 1.467106580734253,
|
| 1851 |
+
"learning_rate": 0.0002,
|
| 1852 |
+
"loss": 0.6323,
|
| 1853 |
+
"step": 2600
|
| 1854 |
+
},
|
| 1855 |
+
{
|
| 1856 |
+
"epoch": 3.5317997293640055,
|
| 1857 |
+
"grad_norm": 1.4800456762313843,
|
| 1858 |
+
"learning_rate": 0.0002,
|
| 1859 |
+
"loss": 0.6195,
|
| 1860 |
+
"step": 2610
|
| 1861 |
+
},
|
| 1862 |
+
{
|
| 1863 |
+
"epoch": 3.5453315290933696,
|
| 1864 |
+
"grad_norm": 1.140714406967163,
|
| 1865 |
+
"learning_rate": 0.0002,
|
| 1866 |
+
"loss": 0.5971,
|
| 1867 |
+
"step": 2620
|
| 1868 |
+
},
|
| 1869 |
+
{
|
| 1870 |
+
"epoch": 3.558863328822733,
|
| 1871 |
+
"grad_norm": 2.1062142848968506,
|
| 1872 |
+
"learning_rate": 0.0002,
|
| 1873 |
+
"loss": 0.6463,
|
| 1874 |
+
"step": 2630
|
| 1875 |
+
},
|
| 1876 |
+
{
|
| 1877 |
+
"epoch": 3.572395128552097,
|
| 1878 |
+
"grad_norm": 1.3074438571929932,
|
| 1879 |
+
"learning_rate": 0.0002,
|
| 1880 |
+
"loss": 0.5909,
|
| 1881 |
+
"step": 2640
|
| 1882 |
+
},
|
| 1883 |
+
{
|
| 1884 |
+
"epoch": 3.585926928281461,
|
| 1885 |
+
"grad_norm": 1.80443274974823,
|
| 1886 |
+
"learning_rate": 0.0002,
|
| 1887 |
+
"loss": 0.6123,
|
| 1888 |
+
"step": 2650
|
| 1889 |
+
},
|
| 1890 |
+
{
|
| 1891 |
+
"epoch": 3.5994587280108252,
|
| 1892 |
+
"grad_norm": 1.0620969533920288,
|
| 1893 |
+
"learning_rate": 0.0002,
|
| 1894 |
+
"loss": 0.6347,
|
| 1895 |
+
"step": 2660
|
| 1896 |
+
},
|
| 1897 |
+
{
|
| 1898 |
+
"epoch": 3.6129905277401893,
|
| 1899 |
+
"grad_norm": 1.3793504238128662,
|
| 1900 |
+
"learning_rate": 0.0002,
|
| 1901 |
+
"loss": 0.6084,
|
| 1902 |
+
"step": 2670
|
| 1903 |
+
},
|
| 1904 |
+
{
|
| 1905 |
+
"epoch": 3.6265223274695533,
|
| 1906 |
+
"grad_norm": 1.0759015083312988,
|
| 1907 |
+
"learning_rate": 0.0002,
|
| 1908 |
+
"loss": 0.615,
|
| 1909 |
+
"step": 2680
|
| 1910 |
+
},
|
| 1911 |
+
{
|
| 1912 |
+
"epoch": 3.6400541271989173,
|
| 1913 |
+
"grad_norm": 1.5374208688735962,
|
| 1914 |
+
"learning_rate": 0.0002,
|
| 1915 |
+
"loss": 0.6319,
|
| 1916 |
+
"step": 2690
|
| 1917 |
+
},
|
| 1918 |
+
{
|
| 1919 |
+
"epoch": 3.6535859269282813,
|
| 1920 |
+
"grad_norm": 1.690587043762207,
|
| 1921 |
+
"learning_rate": 0.0002,
|
| 1922 |
+
"loss": 0.5328,
|
| 1923 |
+
"step": 2700
|
| 1924 |
+
},
|
| 1925 |
+
{
|
| 1926 |
+
"epoch": 3.6671177266576453,
|
| 1927 |
+
"grad_norm": 1.2092949151992798,
|
| 1928 |
+
"learning_rate": 0.0002,
|
| 1929 |
+
"loss": 0.5715,
|
| 1930 |
+
"step": 2710
|
| 1931 |
+
},
|
| 1932 |
+
{
|
| 1933 |
+
"epoch": 3.6806495263870094,
|
| 1934 |
+
"grad_norm": 1.8789589405059814,
|
| 1935 |
+
"learning_rate": 0.0002,
|
| 1936 |
+
"loss": 0.6063,
|
| 1937 |
+
"step": 2720
|
| 1938 |
+
},
|
| 1939 |
+
{
|
| 1940 |
+
"epoch": 3.6941813261163734,
|
| 1941 |
+
"grad_norm": 1.5840286016464233,
|
| 1942 |
+
"learning_rate": 0.0002,
|
| 1943 |
+
"loss": 0.5823,
|
| 1944 |
+
"step": 2730
|
| 1945 |
+
},
|
| 1946 |
+
{
|
| 1947 |
+
"epoch": 3.7077131258457374,
|
| 1948 |
+
"grad_norm": 1.3318506479263306,
|
| 1949 |
+
"learning_rate": 0.0002,
|
| 1950 |
+
"loss": 0.6039,
|
| 1951 |
+
"step": 2740
|
| 1952 |
+
},
|
| 1953 |
+
{
|
| 1954 |
+
"epoch": 3.7212449255751014,
|
| 1955 |
+
"grad_norm": 1.0107663869857788,
|
| 1956 |
+
"learning_rate": 0.0002,
|
| 1957 |
+
"loss": 0.6488,
|
| 1958 |
+
"step": 2750
|
| 1959 |
+
},
|
| 1960 |
+
{
|
| 1961 |
+
"epoch": 3.7347767253044655,
|
| 1962 |
+
"grad_norm": 1.152219295501709,
|
| 1963 |
+
"learning_rate": 0.0002,
|
| 1964 |
+
"loss": 0.6657,
|
| 1965 |
+
"step": 2760
|
| 1966 |
+
},
|
| 1967 |
+
{
|
| 1968 |
+
"epoch": 3.7483085250338295,
|
| 1969 |
+
"grad_norm": 1.4025444984436035,
|
| 1970 |
+
"learning_rate": 0.0002,
|
| 1971 |
+
"loss": 0.5845,
|
| 1972 |
+
"step": 2770
|
| 1973 |
+
},
|
| 1974 |
+
{
|
| 1975 |
+
"epoch": 3.7618403247631935,
|
| 1976 |
+
"grad_norm": 0.9559378623962402,
|
| 1977 |
+
"learning_rate": 0.0002,
|
| 1978 |
+
"loss": 0.6215,
|
| 1979 |
+
"step": 2780
|
| 1980 |
+
},
|
| 1981 |
+
{
|
| 1982 |
+
"epoch": 3.7753721244925575,
|
| 1983 |
+
"grad_norm": 1.196541428565979,
|
| 1984 |
+
"learning_rate": 0.0002,
|
| 1985 |
+
"loss": 0.6469,
|
| 1986 |
+
"step": 2790
|
| 1987 |
+
},
|
| 1988 |
+
{
|
| 1989 |
+
"epoch": 3.7889039242219216,
|
| 1990 |
+
"grad_norm": 1.0485719442367554,
|
| 1991 |
+
"learning_rate": 0.0002,
|
| 1992 |
+
"loss": 0.5686,
|
| 1993 |
+
"step": 2800
|
| 1994 |
+
},
|
| 1995 |
+
{
|
| 1996 |
+
"epoch": 3.8024357239512856,
|
| 1997 |
+
"grad_norm": 1.3199235200881958,
|
| 1998 |
+
"learning_rate": 0.0002,
|
| 1999 |
+
"loss": 0.557,
|
| 2000 |
+
"step": 2810
|
| 2001 |
+
},
|
| 2002 |
+
{
|
| 2003 |
+
"epoch": 3.8159675236806496,
|
| 2004 |
+
"grad_norm": 1.8519755601882935,
|
| 2005 |
+
"learning_rate": 0.0002,
|
| 2006 |
+
"loss": 0.5797,
|
| 2007 |
+
"step": 2820
|
| 2008 |
+
},
|
| 2009 |
+
{
|
| 2010 |
+
"epoch": 3.8294993234100136,
|
| 2011 |
+
"grad_norm": 1.3234314918518066,
|
| 2012 |
+
"learning_rate": 0.0002,
|
| 2013 |
+
"loss": 0.6194,
|
| 2014 |
+
"step": 2830
|
| 2015 |
+
},
|
| 2016 |
+
{
|
| 2017 |
+
"epoch": 3.8430311231393777,
|
| 2018 |
+
"grad_norm": 1.5337995290756226,
|
| 2019 |
+
"learning_rate": 0.0002,
|
| 2020 |
+
"loss": 0.6192,
|
| 2021 |
+
"step": 2840
|
| 2022 |
+
},
|
| 2023 |
+
{
|
| 2024 |
+
"epoch": 3.8565629228687417,
|
| 2025 |
+
"grad_norm": 1.3527625799179077,
|
| 2026 |
+
"learning_rate": 0.0002,
|
| 2027 |
+
"loss": 0.5753,
|
| 2028 |
+
"step": 2850
|
| 2029 |
+
},
|
| 2030 |
+
{
|
| 2031 |
+
"epoch": 3.8700947225981057,
|
| 2032 |
+
"grad_norm": 1.1479119062423706,
|
| 2033 |
+
"learning_rate": 0.0002,
|
| 2034 |
+
"loss": 0.6199,
|
| 2035 |
+
"step": 2860
|
| 2036 |
+
},
|
| 2037 |
+
{
|
| 2038 |
+
"epoch": 3.8836265223274697,
|
| 2039 |
+
"grad_norm": 1.8172897100448608,
|
| 2040 |
+
"learning_rate": 0.0002,
|
| 2041 |
+
"loss": 0.5928,
|
| 2042 |
+
"step": 2870
|
| 2043 |
+
},
|
| 2044 |
+
{
|
| 2045 |
+
"epoch": 3.8971583220568338,
|
| 2046 |
+
"grad_norm": 2.219006061553955,
|
| 2047 |
+
"learning_rate": 0.0002,
|
| 2048 |
+
"loss": 0.6224,
|
| 2049 |
+
"step": 2880
|
| 2050 |
+
},
|
| 2051 |
+
{
|
| 2052 |
+
"epoch": 3.910690121786198,
|
| 2053 |
+
"grad_norm": 1.1499899625778198,
|
| 2054 |
+
"learning_rate": 0.0002,
|
| 2055 |
+
"loss": 0.6196,
|
| 2056 |
+
"step": 2890
|
| 2057 |
+
},
|
| 2058 |
+
{
|
| 2059 |
+
"epoch": 3.924221921515562,
|
| 2060 |
+
"grad_norm": 1.2255879640579224,
|
| 2061 |
+
"learning_rate": 0.0002,
|
| 2062 |
+
"loss": 0.6052,
|
| 2063 |
+
"step": 2900
|
| 2064 |
+
},
|
| 2065 |
+
{
|
| 2066 |
+
"epoch": 3.937753721244926,
|
| 2067 |
+
"grad_norm": 1.3766648769378662,
|
| 2068 |
+
"learning_rate": 0.0002,
|
| 2069 |
+
"loss": 0.6153,
|
| 2070 |
+
"step": 2910
|
| 2071 |
+
},
|
| 2072 |
+
{
|
| 2073 |
+
"epoch": 3.9512855209742894,
|
| 2074 |
+
"grad_norm": 1.5438952445983887,
|
| 2075 |
+
"learning_rate": 0.0002,
|
| 2076 |
+
"loss": 0.5182,
|
| 2077 |
+
"step": 2920
|
| 2078 |
+
},
|
| 2079 |
+
{
|
| 2080 |
+
"epoch": 3.9648173207036534,
|
| 2081 |
+
"grad_norm": 1.904476523399353,
|
| 2082 |
+
"learning_rate": 0.0002,
|
| 2083 |
+
"loss": 0.5805,
|
| 2084 |
+
"step": 2930
|
| 2085 |
+
},
|
| 2086 |
+
{
|
| 2087 |
+
"epoch": 3.9783491204330175,
|
| 2088 |
+
"grad_norm": 1.5277420282363892,
|
| 2089 |
+
"learning_rate": 0.0002,
|
| 2090 |
+
"loss": 0.6441,
|
| 2091 |
+
"step": 2940
|
| 2092 |
+
},
|
| 2093 |
+
{
|
| 2094 |
+
"epoch": 3.9918809201623815,
|
| 2095 |
+
"grad_norm": 1.4065558910369873,
|
| 2096 |
+
"learning_rate": 0.0002,
|
| 2097 |
+
"loss": 0.6155,
|
| 2098 |
+
"step": 2950
|
| 2099 |
+
},
|
| 2100 |
+
{
|
| 2101 |
+
"epoch": 4.0,
|
| 2102 |
+
"eval_loss": 1.4007929563522339,
|
| 2103 |
+
"eval_runtime": 46.5624,
|
| 2104 |
+
"eval_samples_per_second": 9.793,
|
| 2105 |
+
"eval_steps_per_second": 1.224,
|
| 2106 |
+
"step": 2956
|
| 2107 |
+
}
|
| 2108 |
+
],
|
| 2109 |
+
"logging_steps": 10,
|
| 2110 |
+
"max_steps": 5912,
|
| 2111 |
+
"num_input_tokens_seen": 0,
|
| 2112 |
+
"num_train_epochs": 8,
|
| 2113 |
+
"save_steps": 200,
|
| 2114 |
+
"stateful_callbacks": {
|
| 2115 |
+
"TrainerControl": {
|
| 2116 |
+
"args": {
|
| 2117 |
+
"should_epoch_stop": false,
|
| 2118 |
+
"should_evaluate": false,
|
| 2119 |
+
"should_log": false,
|
| 2120 |
+
"should_save": true,
|
| 2121 |
+
"should_training_stop": false
|
| 2122 |
+
},
|
| 2123 |
+
"attributes": {}
|
| 2124 |
+
}
|
| 2125 |
+
},
|
| 2126 |
+
"total_flos": 1.296936921464832e+17,
|
| 2127 |
+
"train_batch_size": 1,
|
| 2128 |
+
"trial_name": null,
|
| 2129 |
+
"trial_params": null
|
| 2130 |
+
}
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-2956/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e9c0e60ee7ec9d35429ff5330b6a72628063da6a9c843e01fa8c503c2ba1303f
|
| 3 |
+
size 5624
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-3695/README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: mistralai/Mistral-7B-Instruct-v0.3
|
| 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
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-3695/adapter_config.json
ADDED
|
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.3",
|
| 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 |
+
"q_proj",
|
| 24 |
+
"v_proj"
|
| 25 |
+
],
|
| 26 |
+
"task_type": "CAUSAL_LM",
|
| 27 |
+
"use_dora": false,
|
| 28 |
+
"use_rslora": false
|
| 29 |
+
}
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-3695/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3489c614d6dd211bd1e168d19735e2507dbf45c7792f02ff4815f545144c2a41
|
| 3 |
+
size 109069176
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-3695/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3b27ed2d6137700f94216af8a0770a00b46ba018b597e97d5dbbbad00d904a1e
|
| 3 |
+
size 55532666
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-3695/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:413ce3773a0b8e8b94dba01c285394b42fbf629c07c7a96a879547b4da998981
|
| 3 |
+
size 14244
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-3695/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b21951b8649a073ab5803e4e2fb752c8c608bbfe4280419534497e131334755d
|
| 3 |
+
size 1064
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-3695/special_tokens_map.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<s>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"eos_token": {
|
| 10 |
+
"content": "</s>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": "</s>",
|
| 17 |
+
"unk_token": {
|
| 18 |
+
"content": "<unk>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
}
|
| 24 |
+
}
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-3695/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-3695/tokenizer.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:37f00374dea48658ee8f5d0f21895b9bc55cb0103939607c8185bfd1c6ca1f89
|
| 3 |
+
size 587404
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-3695/tokenizer_config.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-3695/trainer_state.json
ADDED
|
@@ -0,0 +1,2656 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 1.28184974193573,
|
| 3 |
+
"best_model_checkpoint": "outputs-001/Mistral-7B-Instruct-v0.3_int4_mmlu-routerbench-0shot-full-by-task_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-0.5-num-4904-sd-10000/checkpoint-1478",
|
| 4 |
+
"epoch": 5.0,
|
| 5 |
+
"eval_steps": 10,
|
| 6 |
+
"global_step": 3695,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.013531799729364006,
|
| 13 |
+
"grad_norm": 1.1050695180892944,
|
| 14 |
+
"learning_rate": 0.0002,
|
| 15 |
+
"loss": 1.9104,
|
| 16 |
+
"step": 10
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.02706359945872801,
|
| 20 |
+
"grad_norm": 1.2463239431381226,
|
| 21 |
+
"learning_rate": 0.0002,
|
| 22 |
+
"loss": 1.6832,
|
| 23 |
+
"step": 20
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.04059539918809202,
|
| 27 |
+
"grad_norm": 1.193475604057312,
|
| 28 |
+
"learning_rate": 0.0002,
|
| 29 |
+
"loss": 1.4273,
|
| 30 |
+
"step": 30
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.05412719891745602,
|
| 34 |
+
"grad_norm": 0.7777265310287476,
|
| 35 |
+
"learning_rate": 0.0002,
|
| 36 |
+
"loss": 1.4369,
|
| 37 |
+
"step": 40
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.06765899864682003,
|
| 41 |
+
"grad_norm": 1.4079619646072388,
|
| 42 |
+
"learning_rate": 0.0002,
|
| 43 |
+
"loss": 1.3618,
|
| 44 |
+
"step": 50
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.08119079837618404,
|
| 48 |
+
"grad_norm": 0.9451370239257812,
|
| 49 |
+
"learning_rate": 0.0002,
|
| 50 |
+
"loss": 1.2639,
|
| 51 |
+
"step": 60
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.09472259810554803,
|
| 55 |
+
"grad_norm": 0.7137989401817322,
|
| 56 |
+
"learning_rate": 0.0002,
|
| 57 |
+
"loss": 1.2494,
|
| 58 |
+
"step": 70
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.10825439783491204,
|
| 62 |
+
"grad_norm": 0.5521688461303711,
|
| 63 |
+
"learning_rate": 0.0002,
|
| 64 |
+
"loss": 1.1309,
|
| 65 |
+
"step": 80
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.12178619756427606,
|
| 69 |
+
"grad_norm": 0.8050252795219421,
|
| 70 |
+
"learning_rate": 0.0002,
|
| 71 |
+
"loss": 1.2882,
|
| 72 |
+
"step": 90
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.13531799729364005,
|
| 76 |
+
"grad_norm": 0.6771517992019653,
|
| 77 |
+
"learning_rate": 0.0002,
|
| 78 |
+
"loss": 1.2237,
|
| 79 |
+
"step": 100
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.14884979702300405,
|
| 83 |
+
"grad_norm": 0.8056462407112122,
|
| 84 |
+
"learning_rate": 0.0002,
|
| 85 |
+
"loss": 1.2265,
|
| 86 |
+
"step": 110
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.16238159675236807,
|
| 90 |
+
"grad_norm": 0.7240928411483765,
|
| 91 |
+
"learning_rate": 0.0002,
|
| 92 |
+
"loss": 1.3218,
|
| 93 |
+
"step": 120
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.17591339648173207,
|
| 97 |
+
"grad_norm": 0.5310224294662476,
|
| 98 |
+
"learning_rate": 0.0002,
|
| 99 |
+
"loss": 1.0812,
|
| 100 |
+
"step": 130
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.18944519621109607,
|
| 104 |
+
"grad_norm": 0.5730571150779724,
|
| 105 |
+
"learning_rate": 0.0002,
|
| 106 |
+
"loss": 1.2196,
|
| 107 |
+
"step": 140
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.2029769959404601,
|
| 111 |
+
"grad_norm": 0.5288769006729126,
|
| 112 |
+
"learning_rate": 0.0002,
|
| 113 |
+
"loss": 1.3183,
|
| 114 |
+
"step": 150
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.2165087956698241,
|
| 118 |
+
"grad_norm": 0.5447443723678589,
|
| 119 |
+
"learning_rate": 0.0002,
|
| 120 |
+
"loss": 1.1886,
|
| 121 |
+
"step": 160
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.23004059539918809,
|
| 125 |
+
"grad_norm": 2.2740917205810547,
|
| 126 |
+
"learning_rate": 0.0002,
|
| 127 |
+
"loss": 1.1994,
|
| 128 |
+
"step": 170
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.2435723951285521,
|
| 132 |
+
"grad_norm": 0.6200950741767883,
|
| 133 |
+
"learning_rate": 0.0002,
|
| 134 |
+
"loss": 1.2398,
|
| 135 |
+
"step": 180
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.2571041948579161,
|
| 139 |
+
"grad_norm": 1.1782610416412354,
|
| 140 |
+
"learning_rate": 0.0002,
|
| 141 |
+
"loss": 1.2827,
|
| 142 |
+
"step": 190
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.2706359945872801,
|
| 146 |
+
"grad_norm": 0.7893068194389343,
|
| 147 |
+
"learning_rate": 0.0002,
|
| 148 |
+
"loss": 1.1697,
|
| 149 |
+
"step": 200
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.28416779431664413,
|
| 153 |
+
"grad_norm": 0.5421761274337769,
|
| 154 |
+
"learning_rate": 0.0002,
|
| 155 |
+
"loss": 1.221,
|
| 156 |
+
"step": 210
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.2976995940460081,
|
| 160 |
+
"grad_norm": 0.5460169315338135,
|
| 161 |
+
"learning_rate": 0.0002,
|
| 162 |
+
"loss": 1.2019,
|
| 163 |
+
"step": 220
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.3112313937753721,
|
| 167 |
+
"grad_norm": 0.5957289934158325,
|
| 168 |
+
"learning_rate": 0.0002,
|
| 169 |
+
"loss": 1.1363,
|
| 170 |
+
"step": 230
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.32476319350473615,
|
| 174 |
+
"grad_norm": 0.745093047618866,
|
| 175 |
+
"learning_rate": 0.0002,
|
| 176 |
+
"loss": 1.2545,
|
| 177 |
+
"step": 240
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.3382949932341001,
|
| 181 |
+
"grad_norm": 0.622627317905426,
|
| 182 |
+
"learning_rate": 0.0002,
|
| 183 |
+
"loss": 1.2408,
|
| 184 |
+
"step": 250
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 0.35182679296346414,
|
| 188 |
+
"grad_norm": 0.5773138999938965,
|
| 189 |
+
"learning_rate": 0.0002,
|
| 190 |
+
"loss": 1.3083,
|
| 191 |
+
"step": 260
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.36535859269282817,
|
| 195 |
+
"grad_norm": 1.104275107383728,
|
| 196 |
+
"learning_rate": 0.0002,
|
| 197 |
+
"loss": 1.0475,
|
| 198 |
+
"step": 270
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 0.37889039242219213,
|
| 202 |
+
"grad_norm": 0.5755344033241272,
|
| 203 |
+
"learning_rate": 0.0002,
|
| 204 |
+
"loss": 1.0988,
|
| 205 |
+
"step": 280
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 0.39242219215155616,
|
| 209 |
+
"grad_norm": 0.5885311961174011,
|
| 210 |
+
"learning_rate": 0.0002,
|
| 211 |
+
"loss": 1.2215,
|
| 212 |
+
"step": 290
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.4059539918809202,
|
| 216 |
+
"grad_norm": 1.448182225227356,
|
| 217 |
+
"learning_rate": 0.0002,
|
| 218 |
+
"loss": 1.2099,
|
| 219 |
+
"step": 300
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.41948579161028415,
|
| 223 |
+
"grad_norm": 0.5983599424362183,
|
| 224 |
+
"learning_rate": 0.0002,
|
| 225 |
+
"loss": 1.2114,
|
| 226 |
+
"step": 310
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 0.4330175913396482,
|
| 230 |
+
"grad_norm": 0.5013539791107178,
|
| 231 |
+
"learning_rate": 0.0002,
|
| 232 |
+
"loss": 1.1691,
|
| 233 |
+
"step": 320
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 0.4465493910690122,
|
| 237 |
+
"grad_norm": 0.8935738205909729,
|
| 238 |
+
"learning_rate": 0.0002,
|
| 239 |
+
"loss": 1.138,
|
| 240 |
+
"step": 330
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 0.46008119079837617,
|
| 244 |
+
"grad_norm": 0.5642115473747253,
|
| 245 |
+
"learning_rate": 0.0002,
|
| 246 |
+
"loss": 1.1336,
|
| 247 |
+
"step": 340
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 0.4736129905277402,
|
| 251 |
+
"grad_norm": 0.7897255420684814,
|
| 252 |
+
"learning_rate": 0.0002,
|
| 253 |
+
"loss": 1.2355,
|
| 254 |
+
"step": 350
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 0.4871447902571042,
|
| 258 |
+
"grad_norm": 1.6891459226608276,
|
| 259 |
+
"learning_rate": 0.0002,
|
| 260 |
+
"loss": 1.1067,
|
| 261 |
+
"step": 360
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 0.5006765899864682,
|
| 265 |
+
"grad_norm": 1.1374807357788086,
|
| 266 |
+
"learning_rate": 0.0002,
|
| 267 |
+
"loss": 1.1787,
|
| 268 |
+
"step": 370
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 0.5142083897158322,
|
| 272 |
+
"grad_norm": 0.5355549454689026,
|
| 273 |
+
"learning_rate": 0.0002,
|
| 274 |
+
"loss": 1.1525,
|
| 275 |
+
"step": 380
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 0.5277401894451962,
|
| 279 |
+
"grad_norm": 0.656196653842926,
|
| 280 |
+
"learning_rate": 0.0002,
|
| 281 |
+
"loss": 1.1298,
|
| 282 |
+
"step": 390
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 0.5412719891745602,
|
| 286 |
+
"grad_norm": 0.8692356944084167,
|
| 287 |
+
"learning_rate": 0.0002,
|
| 288 |
+
"loss": 1.1471,
|
| 289 |
+
"step": 400
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 0.5548037889039242,
|
| 293 |
+
"grad_norm": 0.5873697400093079,
|
| 294 |
+
"learning_rate": 0.0002,
|
| 295 |
+
"loss": 0.9781,
|
| 296 |
+
"step": 410
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 0.5683355886332883,
|
| 300 |
+
"grad_norm": 0.8922758102416992,
|
| 301 |
+
"learning_rate": 0.0002,
|
| 302 |
+
"loss": 1.1841,
|
| 303 |
+
"step": 420
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 0.5818673883626523,
|
| 307 |
+
"grad_norm": 0.5048012733459473,
|
| 308 |
+
"learning_rate": 0.0002,
|
| 309 |
+
"loss": 1.184,
|
| 310 |
+
"step": 430
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 0.5953991880920162,
|
| 314 |
+
"grad_norm": 0.603631317615509,
|
| 315 |
+
"learning_rate": 0.0002,
|
| 316 |
+
"loss": 1.3276,
|
| 317 |
+
"step": 440
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 0.6089309878213802,
|
| 321 |
+
"grad_norm": 0.5635734796524048,
|
| 322 |
+
"learning_rate": 0.0002,
|
| 323 |
+
"loss": 1.0459,
|
| 324 |
+
"step": 450
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 0.6224627875507442,
|
| 328 |
+
"grad_norm": 0.7483186721801758,
|
| 329 |
+
"learning_rate": 0.0002,
|
| 330 |
+
"loss": 1.1549,
|
| 331 |
+
"step": 460
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 0.6359945872801083,
|
| 335 |
+
"grad_norm": 0.5372456312179565,
|
| 336 |
+
"learning_rate": 0.0002,
|
| 337 |
+
"loss": 1.1141,
|
| 338 |
+
"step": 470
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 0.6495263870094723,
|
| 342 |
+
"grad_norm": 0.9461246728897095,
|
| 343 |
+
"learning_rate": 0.0002,
|
| 344 |
+
"loss": 1.2966,
|
| 345 |
+
"step": 480
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 0.6630581867388363,
|
| 349 |
+
"grad_norm": 0.7017379403114319,
|
| 350 |
+
"learning_rate": 0.0002,
|
| 351 |
+
"loss": 1.1226,
|
| 352 |
+
"step": 490
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 0.6765899864682002,
|
| 356 |
+
"grad_norm": 1.6177887916564941,
|
| 357 |
+
"learning_rate": 0.0002,
|
| 358 |
+
"loss": 1.2138,
|
| 359 |
+
"step": 500
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 0.6901217861975643,
|
| 363 |
+
"grad_norm": 0.4857328236103058,
|
| 364 |
+
"learning_rate": 0.0002,
|
| 365 |
+
"loss": 1.0716,
|
| 366 |
+
"step": 510
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 0.7036535859269283,
|
| 370 |
+
"grad_norm": 1.0545706748962402,
|
| 371 |
+
"learning_rate": 0.0002,
|
| 372 |
+
"loss": 1.2898,
|
| 373 |
+
"step": 520
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 0.7171853856562923,
|
| 377 |
+
"grad_norm": 0.7486541867256165,
|
| 378 |
+
"learning_rate": 0.0002,
|
| 379 |
+
"loss": 1.2527,
|
| 380 |
+
"step": 530
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 0.7307171853856563,
|
| 384 |
+
"grad_norm": 0.6588427424430847,
|
| 385 |
+
"learning_rate": 0.0002,
|
| 386 |
+
"loss": 1.0634,
|
| 387 |
+
"step": 540
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 0.7442489851150202,
|
| 391 |
+
"grad_norm": 0.9485914707183838,
|
| 392 |
+
"learning_rate": 0.0002,
|
| 393 |
+
"loss": 1.0988,
|
| 394 |
+
"step": 550
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 0.7577807848443843,
|
| 398 |
+
"grad_norm": 0.7465947866439819,
|
| 399 |
+
"learning_rate": 0.0002,
|
| 400 |
+
"loss": 1.1933,
|
| 401 |
+
"step": 560
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 0.7713125845737483,
|
| 405 |
+
"grad_norm": 0.6392837166786194,
|
| 406 |
+
"learning_rate": 0.0002,
|
| 407 |
+
"loss": 1.0927,
|
| 408 |
+
"step": 570
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 0.7848443843031123,
|
| 412 |
+
"grad_norm": 0.4898282587528229,
|
| 413 |
+
"learning_rate": 0.0002,
|
| 414 |
+
"loss": 1.14,
|
| 415 |
+
"step": 580
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
"epoch": 0.7983761840324763,
|
| 419 |
+
"grad_norm": 0.5636171102523804,
|
| 420 |
+
"learning_rate": 0.0002,
|
| 421 |
+
"loss": 1.0425,
|
| 422 |
+
"step": 590
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 0.8119079837618404,
|
| 426 |
+
"grad_norm": 0.6637675166130066,
|
| 427 |
+
"learning_rate": 0.0002,
|
| 428 |
+
"loss": 1.0717,
|
| 429 |
+
"step": 600
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 0.8254397834912043,
|
| 433 |
+
"grad_norm": 1.1842738389968872,
|
| 434 |
+
"learning_rate": 0.0002,
|
| 435 |
+
"loss": 1.1204,
|
| 436 |
+
"step": 610
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"epoch": 0.8389715832205683,
|
| 440 |
+
"grad_norm": 0.5699004530906677,
|
| 441 |
+
"learning_rate": 0.0002,
|
| 442 |
+
"loss": 1.083,
|
| 443 |
+
"step": 620
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 0.8525033829499323,
|
| 447 |
+
"grad_norm": 0.7748669385910034,
|
| 448 |
+
"learning_rate": 0.0002,
|
| 449 |
+
"loss": 1.153,
|
| 450 |
+
"step": 630
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 0.8660351826792964,
|
| 454 |
+
"grad_norm": 0.7987180352210999,
|
| 455 |
+
"learning_rate": 0.0002,
|
| 456 |
+
"loss": 1.141,
|
| 457 |
+
"step": 640
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"epoch": 0.8795669824086604,
|
| 461 |
+
"grad_norm": 1.0740629434585571,
|
| 462 |
+
"learning_rate": 0.0002,
|
| 463 |
+
"loss": 1.0949,
|
| 464 |
+
"step": 650
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 0.8930987821380244,
|
| 468 |
+
"grad_norm": 0.731082022190094,
|
| 469 |
+
"learning_rate": 0.0002,
|
| 470 |
+
"loss": 1.0503,
|
| 471 |
+
"step": 660
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 0.9066305818673883,
|
| 475 |
+
"grad_norm": 0.9066846966743469,
|
| 476 |
+
"learning_rate": 0.0002,
|
| 477 |
+
"loss": 1.1075,
|
| 478 |
+
"step": 670
|
| 479 |
+
},
|
| 480 |
+
{
|
| 481 |
+
"epoch": 0.9201623815967523,
|
| 482 |
+
"grad_norm": 0.9934597015380859,
|
| 483 |
+
"learning_rate": 0.0002,
|
| 484 |
+
"loss": 1.0516,
|
| 485 |
+
"step": 680
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 0.9336941813261164,
|
| 489 |
+
"grad_norm": 0.7975896000862122,
|
| 490 |
+
"learning_rate": 0.0002,
|
| 491 |
+
"loss": 1.0983,
|
| 492 |
+
"step": 690
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"epoch": 0.9472259810554804,
|
| 496 |
+
"grad_norm": 0.9127744436264038,
|
| 497 |
+
"learning_rate": 0.0002,
|
| 498 |
+
"loss": 1.2362,
|
| 499 |
+
"step": 700
|
| 500 |
+
},
|
| 501 |
+
{
|
| 502 |
+
"epoch": 0.9607577807848444,
|
| 503 |
+
"grad_norm": 0.7682064175605774,
|
| 504 |
+
"learning_rate": 0.0002,
|
| 505 |
+
"loss": 1.0273,
|
| 506 |
+
"step": 710
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 0.9742895805142084,
|
| 510 |
+
"grad_norm": 0.9808696508407593,
|
| 511 |
+
"learning_rate": 0.0002,
|
| 512 |
+
"loss": 1.2195,
|
| 513 |
+
"step": 720
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 0.9878213802435724,
|
| 517 |
+
"grad_norm": 1.0826992988586426,
|
| 518 |
+
"learning_rate": 0.0002,
|
| 519 |
+
"loss": 1.0979,
|
| 520 |
+
"step": 730
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"epoch": 1.0,
|
| 524 |
+
"eval_loss": 1.2867646217346191,
|
| 525 |
+
"eval_runtime": 53.6569,
|
| 526 |
+
"eval_samples_per_second": 8.498,
|
| 527 |
+
"eval_steps_per_second": 1.062,
|
| 528 |
+
"step": 739
|
| 529 |
+
},
|
| 530 |
+
{
|
| 531 |
+
"epoch": 1.0013531799729365,
|
| 532 |
+
"grad_norm": 0.6498591303825378,
|
| 533 |
+
"learning_rate": 0.0002,
|
| 534 |
+
"loss": 1.1631,
|
| 535 |
+
"step": 740
|
| 536 |
+
},
|
| 537 |
+
{
|
| 538 |
+
"epoch": 1.0148849797023005,
|
| 539 |
+
"grad_norm": 0.8040738701820374,
|
| 540 |
+
"learning_rate": 0.0002,
|
| 541 |
+
"loss": 1.0737,
|
| 542 |
+
"step": 750
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"epoch": 1.0284167794316643,
|
| 546 |
+
"grad_norm": 0.7280412912368774,
|
| 547 |
+
"learning_rate": 0.0002,
|
| 548 |
+
"loss": 1.03,
|
| 549 |
+
"step": 760
|
| 550 |
+
},
|
| 551 |
+
{
|
| 552 |
+
"epoch": 1.0419485791610283,
|
| 553 |
+
"grad_norm": 0.672149121761322,
|
| 554 |
+
"learning_rate": 0.0002,
|
| 555 |
+
"loss": 0.9603,
|
| 556 |
+
"step": 770
|
| 557 |
+
},
|
| 558 |
+
{
|
| 559 |
+
"epoch": 1.0554803788903924,
|
| 560 |
+
"grad_norm": 1.1186308860778809,
|
| 561 |
+
"learning_rate": 0.0002,
|
| 562 |
+
"loss": 0.997,
|
| 563 |
+
"step": 780
|
| 564 |
+
},
|
| 565 |
+
{
|
| 566 |
+
"epoch": 1.0690121786197564,
|
| 567 |
+
"grad_norm": 0.9073583483695984,
|
| 568 |
+
"learning_rate": 0.0002,
|
| 569 |
+
"loss": 0.9088,
|
| 570 |
+
"step": 790
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 1.0825439783491204,
|
| 574 |
+
"grad_norm": 0.6135605573654175,
|
| 575 |
+
"learning_rate": 0.0002,
|
| 576 |
+
"loss": 0.9413,
|
| 577 |
+
"step": 800
|
| 578 |
+
},
|
| 579 |
+
{
|
| 580 |
+
"epoch": 1.0960757780784844,
|
| 581 |
+
"grad_norm": 0.5854787826538086,
|
| 582 |
+
"learning_rate": 0.0002,
|
| 583 |
+
"loss": 0.9024,
|
| 584 |
+
"step": 810
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 1.1096075778078485,
|
| 588 |
+
"grad_norm": 0.9077727794647217,
|
| 589 |
+
"learning_rate": 0.0002,
|
| 590 |
+
"loss": 1.0176,
|
| 591 |
+
"step": 820
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 1.1231393775372125,
|
| 595 |
+
"grad_norm": 0.7072564363479614,
|
| 596 |
+
"learning_rate": 0.0002,
|
| 597 |
+
"loss": 0.9489,
|
| 598 |
+
"step": 830
|
| 599 |
+
},
|
| 600 |
+
{
|
| 601 |
+
"epoch": 1.1366711772665765,
|
| 602 |
+
"grad_norm": 0.9457924365997314,
|
| 603 |
+
"learning_rate": 0.0002,
|
| 604 |
+
"loss": 0.9275,
|
| 605 |
+
"step": 840
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 1.1502029769959405,
|
| 609 |
+
"grad_norm": 0.9216122031211853,
|
| 610 |
+
"learning_rate": 0.0002,
|
| 611 |
+
"loss": 0.9998,
|
| 612 |
+
"step": 850
|
| 613 |
+
},
|
| 614 |
+
{
|
| 615 |
+
"epoch": 1.1637347767253043,
|
| 616 |
+
"grad_norm": 1.0899791717529297,
|
| 617 |
+
"learning_rate": 0.0002,
|
| 618 |
+
"loss": 0.9803,
|
| 619 |
+
"step": 860
|
| 620 |
+
},
|
| 621 |
+
{
|
| 622 |
+
"epoch": 1.1772665764546684,
|
| 623 |
+
"grad_norm": 0.8594662547111511,
|
| 624 |
+
"learning_rate": 0.0002,
|
| 625 |
+
"loss": 1.0419,
|
| 626 |
+
"step": 870
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 1.1907983761840324,
|
| 630 |
+
"grad_norm": 0.8680914640426636,
|
| 631 |
+
"learning_rate": 0.0002,
|
| 632 |
+
"loss": 0.9513,
|
| 633 |
+
"step": 880
|
| 634 |
+
},
|
| 635 |
+
{
|
| 636 |
+
"epoch": 1.2043301759133964,
|
| 637 |
+
"grad_norm": 0.5579341650009155,
|
| 638 |
+
"learning_rate": 0.0002,
|
| 639 |
+
"loss": 0.9695,
|
| 640 |
+
"step": 890
|
| 641 |
+
},
|
| 642 |
+
{
|
| 643 |
+
"epoch": 1.2178619756427604,
|
| 644 |
+
"grad_norm": 0.8556986451148987,
|
| 645 |
+
"learning_rate": 0.0002,
|
| 646 |
+
"loss": 1.0153,
|
| 647 |
+
"step": 900
|
| 648 |
+
},
|
| 649 |
+
{
|
| 650 |
+
"epoch": 1.2313937753721245,
|
| 651 |
+
"grad_norm": 1.8943263292312622,
|
| 652 |
+
"learning_rate": 0.0002,
|
| 653 |
+
"loss": 0.9589,
|
| 654 |
+
"step": 910
|
| 655 |
+
},
|
| 656 |
+
{
|
| 657 |
+
"epoch": 1.2449255751014885,
|
| 658 |
+
"grad_norm": 0.7652221918106079,
|
| 659 |
+
"learning_rate": 0.0002,
|
| 660 |
+
"loss": 0.9554,
|
| 661 |
+
"step": 920
|
| 662 |
+
},
|
| 663 |
+
{
|
| 664 |
+
"epoch": 1.2584573748308525,
|
| 665 |
+
"grad_norm": 0.6921482086181641,
|
| 666 |
+
"learning_rate": 0.0002,
|
| 667 |
+
"loss": 0.955,
|
| 668 |
+
"step": 930
|
| 669 |
+
},
|
| 670 |
+
{
|
| 671 |
+
"epoch": 1.2719891745602165,
|
| 672 |
+
"grad_norm": 0.7211646437644958,
|
| 673 |
+
"learning_rate": 0.0002,
|
| 674 |
+
"loss": 1.0335,
|
| 675 |
+
"step": 940
|
| 676 |
+
},
|
| 677 |
+
{
|
| 678 |
+
"epoch": 1.2855209742895806,
|
| 679 |
+
"grad_norm": 0.9096421599388123,
|
| 680 |
+
"learning_rate": 0.0002,
|
| 681 |
+
"loss": 1.0597,
|
| 682 |
+
"step": 950
|
| 683 |
+
},
|
| 684 |
+
{
|
| 685 |
+
"epoch": 1.2990527740189446,
|
| 686 |
+
"grad_norm": 0.743715226650238,
|
| 687 |
+
"learning_rate": 0.0002,
|
| 688 |
+
"loss": 1.1143,
|
| 689 |
+
"step": 960
|
| 690 |
+
},
|
| 691 |
+
{
|
| 692 |
+
"epoch": 1.3125845737483086,
|
| 693 |
+
"grad_norm": 0.9247064590454102,
|
| 694 |
+
"learning_rate": 0.0002,
|
| 695 |
+
"loss": 0.9284,
|
| 696 |
+
"step": 970
|
| 697 |
+
},
|
| 698 |
+
{
|
| 699 |
+
"epoch": 1.3261163734776726,
|
| 700 |
+
"grad_norm": 1.0811798572540283,
|
| 701 |
+
"learning_rate": 0.0002,
|
| 702 |
+
"loss": 0.9534,
|
| 703 |
+
"step": 980
|
| 704 |
+
},
|
| 705 |
+
{
|
| 706 |
+
"epoch": 1.3396481732070367,
|
| 707 |
+
"grad_norm": 0.7317015528678894,
|
| 708 |
+
"learning_rate": 0.0002,
|
| 709 |
+
"loss": 0.9579,
|
| 710 |
+
"step": 990
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"epoch": 1.3531799729364005,
|
| 714 |
+
"grad_norm": 0.8399309515953064,
|
| 715 |
+
"learning_rate": 0.0002,
|
| 716 |
+
"loss": 1.0071,
|
| 717 |
+
"step": 1000
|
| 718 |
+
},
|
| 719 |
+
{
|
| 720 |
+
"epoch": 1.3667117726657645,
|
| 721 |
+
"grad_norm": 1.094558835029602,
|
| 722 |
+
"learning_rate": 0.0002,
|
| 723 |
+
"loss": 0.9483,
|
| 724 |
+
"step": 1010
|
| 725 |
+
},
|
| 726 |
+
{
|
| 727 |
+
"epoch": 1.3802435723951285,
|
| 728 |
+
"grad_norm": 1.3759856224060059,
|
| 729 |
+
"learning_rate": 0.0002,
|
| 730 |
+
"loss": 0.8744,
|
| 731 |
+
"step": 1020
|
| 732 |
+
},
|
| 733 |
+
{
|
| 734 |
+
"epoch": 1.3937753721244925,
|
| 735 |
+
"grad_norm": 0.8855497241020203,
|
| 736 |
+
"learning_rate": 0.0002,
|
| 737 |
+
"loss": 0.915,
|
| 738 |
+
"step": 1030
|
| 739 |
+
},
|
| 740 |
+
{
|
| 741 |
+
"epoch": 1.4073071718538566,
|
| 742 |
+
"grad_norm": 3.6836671829223633,
|
| 743 |
+
"learning_rate": 0.0002,
|
| 744 |
+
"loss": 0.9236,
|
| 745 |
+
"step": 1040
|
| 746 |
+
},
|
| 747 |
+
{
|
| 748 |
+
"epoch": 1.4208389715832206,
|
| 749 |
+
"grad_norm": 1.1119214296340942,
|
| 750 |
+
"learning_rate": 0.0002,
|
| 751 |
+
"loss": 0.8975,
|
| 752 |
+
"step": 1050
|
| 753 |
+
},
|
| 754 |
+
{
|
| 755 |
+
"epoch": 1.4343707713125846,
|
| 756 |
+
"grad_norm": 0.8871118426322937,
|
| 757 |
+
"learning_rate": 0.0002,
|
| 758 |
+
"loss": 0.9381,
|
| 759 |
+
"step": 1060
|
| 760 |
+
},
|
| 761 |
+
{
|
| 762 |
+
"epoch": 1.4479025710419486,
|
| 763 |
+
"grad_norm": 0.9937213063240051,
|
| 764 |
+
"learning_rate": 0.0002,
|
| 765 |
+
"loss": 0.9091,
|
| 766 |
+
"step": 1070
|
| 767 |
+
},
|
| 768 |
+
{
|
| 769 |
+
"epoch": 1.4614343707713127,
|
| 770 |
+
"grad_norm": 0.7206485867500305,
|
| 771 |
+
"learning_rate": 0.0002,
|
| 772 |
+
"loss": 0.9923,
|
| 773 |
+
"step": 1080
|
| 774 |
+
},
|
| 775 |
+
{
|
| 776 |
+
"epoch": 1.4749661705006765,
|
| 777 |
+
"grad_norm": 0.8442404866218567,
|
| 778 |
+
"learning_rate": 0.0002,
|
| 779 |
+
"loss": 0.951,
|
| 780 |
+
"step": 1090
|
| 781 |
+
},
|
| 782 |
+
{
|
| 783 |
+
"epoch": 1.4884979702300405,
|
| 784 |
+
"grad_norm": 0.9265049695968628,
|
| 785 |
+
"learning_rate": 0.0002,
|
| 786 |
+
"loss": 0.8609,
|
| 787 |
+
"step": 1100
|
| 788 |
+
},
|
| 789 |
+
{
|
| 790 |
+
"epoch": 1.5020297699594045,
|
| 791 |
+
"grad_norm": 1.1033650636672974,
|
| 792 |
+
"learning_rate": 0.0002,
|
| 793 |
+
"loss": 1.0021,
|
| 794 |
+
"step": 1110
|
| 795 |
+
},
|
| 796 |
+
{
|
| 797 |
+
"epoch": 1.5155615696887685,
|
| 798 |
+
"grad_norm": 0.7876176834106445,
|
| 799 |
+
"learning_rate": 0.0002,
|
| 800 |
+
"loss": 1.004,
|
| 801 |
+
"step": 1120
|
| 802 |
+
},
|
| 803 |
+
{
|
| 804 |
+
"epoch": 1.5290933694181326,
|
| 805 |
+
"grad_norm": 0.7761271595954895,
|
| 806 |
+
"learning_rate": 0.0002,
|
| 807 |
+
"loss": 0.9555,
|
| 808 |
+
"step": 1130
|
| 809 |
+
},
|
| 810 |
+
{
|
| 811 |
+
"epoch": 1.5426251691474966,
|
| 812 |
+
"grad_norm": 1.0603803396224976,
|
| 813 |
+
"learning_rate": 0.0002,
|
| 814 |
+
"loss": 0.9569,
|
| 815 |
+
"step": 1140
|
| 816 |
+
},
|
| 817 |
+
{
|
| 818 |
+
"epoch": 1.5561569688768606,
|
| 819 |
+
"grad_norm": 0.7715556621551514,
|
| 820 |
+
"learning_rate": 0.0002,
|
| 821 |
+
"loss": 0.9842,
|
| 822 |
+
"step": 1150
|
| 823 |
+
},
|
| 824 |
+
{
|
| 825 |
+
"epoch": 1.5696887686062246,
|
| 826 |
+
"grad_norm": 0.6591511368751526,
|
| 827 |
+
"learning_rate": 0.0002,
|
| 828 |
+
"loss": 0.898,
|
| 829 |
+
"step": 1160
|
| 830 |
+
},
|
| 831 |
+
{
|
| 832 |
+
"epoch": 1.5832205683355887,
|
| 833 |
+
"grad_norm": 1.1773475408554077,
|
| 834 |
+
"learning_rate": 0.0002,
|
| 835 |
+
"loss": 0.9584,
|
| 836 |
+
"step": 1170
|
| 837 |
+
},
|
| 838 |
+
{
|
| 839 |
+
"epoch": 1.5967523680649527,
|
| 840 |
+
"grad_norm": 0.8513862490653992,
|
| 841 |
+
"learning_rate": 0.0002,
|
| 842 |
+
"loss": 0.9229,
|
| 843 |
+
"step": 1180
|
| 844 |
+
},
|
| 845 |
+
{
|
| 846 |
+
"epoch": 1.6102841677943167,
|
| 847 |
+
"grad_norm": 1.0796581506729126,
|
| 848 |
+
"learning_rate": 0.0002,
|
| 849 |
+
"loss": 0.9577,
|
| 850 |
+
"step": 1190
|
| 851 |
+
},
|
| 852 |
+
{
|
| 853 |
+
"epoch": 1.6238159675236807,
|
| 854 |
+
"grad_norm": 0.8897230625152588,
|
| 855 |
+
"learning_rate": 0.0002,
|
| 856 |
+
"loss": 0.9698,
|
| 857 |
+
"step": 1200
|
| 858 |
+
},
|
| 859 |
+
{
|
| 860 |
+
"epoch": 1.6373477672530448,
|
| 861 |
+
"grad_norm": 1.4640971422195435,
|
| 862 |
+
"learning_rate": 0.0002,
|
| 863 |
+
"loss": 0.9295,
|
| 864 |
+
"step": 1210
|
| 865 |
+
},
|
| 866 |
+
{
|
| 867 |
+
"epoch": 1.6508795669824088,
|
| 868 |
+
"grad_norm": 1.123056173324585,
|
| 869 |
+
"learning_rate": 0.0002,
|
| 870 |
+
"loss": 1.003,
|
| 871 |
+
"step": 1220
|
| 872 |
+
},
|
| 873 |
+
{
|
| 874 |
+
"epoch": 1.6644113667117728,
|
| 875 |
+
"grad_norm": 1.1064175367355347,
|
| 876 |
+
"learning_rate": 0.0002,
|
| 877 |
+
"loss": 0.9524,
|
| 878 |
+
"step": 1230
|
| 879 |
+
},
|
| 880 |
+
{
|
| 881 |
+
"epoch": 1.6779431664411368,
|
| 882 |
+
"grad_norm": 2.4434642791748047,
|
| 883 |
+
"learning_rate": 0.0002,
|
| 884 |
+
"loss": 0.8896,
|
| 885 |
+
"step": 1240
|
| 886 |
+
},
|
| 887 |
+
{
|
| 888 |
+
"epoch": 1.6914749661705006,
|
| 889 |
+
"grad_norm": 1.0455760955810547,
|
| 890 |
+
"learning_rate": 0.0002,
|
| 891 |
+
"loss": 0.9899,
|
| 892 |
+
"step": 1250
|
| 893 |
+
},
|
| 894 |
+
{
|
| 895 |
+
"epoch": 1.7050067658998647,
|
| 896 |
+
"grad_norm": 1.1007593870162964,
|
| 897 |
+
"learning_rate": 0.0002,
|
| 898 |
+
"loss": 0.9032,
|
| 899 |
+
"step": 1260
|
| 900 |
+
},
|
| 901 |
+
{
|
| 902 |
+
"epoch": 1.7185385656292287,
|
| 903 |
+
"grad_norm": 1.2697606086730957,
|
| 904 |
+
"learning_rate": 0.0002,
|
| 905 |
+
"loss": 0.9226,
|
| 906 |
+
"step": 1270
|
| 907 |
+
},
|
| 908 |
+
{
|
| 909 |
+
"epoch": 1.7320703653585927,
|
| 910 |
+
"grad_norm": 1.1537855863571167,
|
| 911 |
+
"learning_rate": 0.0002,
|
| 912 |
+
"loss": 0.8771,
|
| 913 |
+
"step": 1280
|
| 914 |
+
},
|
| 915 |
+
{
|
| 916 |
+
"epoch": 1.7456021650879567,
|
| 917 |
+
"grad_norm": 0.9637187719345093,
|
| 918 |
+
"learning_rate": 0.0002,
|
| 919 |
+
"loss": 0.8655,
|
| 920 |
+
"step": 1290
|
| 921 |
+
},
|
| 922 |
+
{
|
| 923 |
+
"epoch": 1.7591339648173205,
|
| 924 |
+
"grad_norm": 1.1610347032546997,
|
| 925 |
+
"learning_rate": 0.0002,
|
| 926 |
+
"loss": 0.9641,
|
| 927 |
+
"step": 1300
|
| 928 |
+
},
|
| 929 |
+
{
|
| 930 |
+
"epoch": 1.7726657645466846,
|
| 931 |
+
"grad_norm": 0.717607319355011,
|
| 932 |
+
"learning_rate": 0.0002,
|
| 933 |
+
"loss": 0.9417,
|
| 934 |
+
"step": 1310
|
| 935 |
+
},
|
| 936 |
+
{
|
| 937 |
+
"epoch": 1.7861975642760486,
|
| 938 |
+
"grad_norm": 1.753371238708496,
|
| 939 |
+
"learning_rate": 0.0002,
|
| 940 |
+
"loss": 0.8852,
|
| 941 |
+
"step": 1320
|
| 942 |
+
},
|
| 943 |
+
{
|
| 944 |
+
"epoch": 1.7997293640054126,
|
| 945 |
+
"grad_norm": 0.7919637560844421,
|
| 946 |
+
"learning_rate": 0.0002,
|
| 947 |
+
"loss": 1.0327,
|
| 948 |
+
"step": 1330
|
| 949 |
+
},
|
| 950 |
+
{
|
| 951 |
+
"epoch": 1.8132611637347766,
|
| 952 |
+
"grad_norm": 1.1091023683547974,
|
| 953 |
+
"learning_rate": 0.0002,
|
| 954 |
+
"loss": 1.0019,
|
| 955 |
+
"step": 1340
|
| 956 |
+
},
|
| 957 |
+
{
|
| 958 |
+
"epoch": 1.8267929634641407,
|
| 959 |
+
"grad_norm": 0.7157362699508667,
|
| 960 |
+
"learning_rate": 0.0002,
|
| 961 |
+
"loss": 0.9457,
|
| 962 |
+
"step": 1350
|
| 963 |
+
},
|
| 964 |
+
{
|
| 965 |
+
"epoch": 1.8403247631935047,
|
| 966 |
+
"grad_norm": 0.9538856744766235,
|
| 967 |
+
"learning_rate": 0.0002,
|
| 968 |
+
"loss": 0.9818,
|
| 969 |
+
"step": 1360
|
| 970 |
+
},
|
| 971 |
+
{
|
| 972 |
+
"epoch": 1.8538565629228687,
|
| 973 |
+
"grad_norm": 1.689642071723938,
|
| 974 |
+
"learning_rate": 0.0002,
|
| 975 |
+
"loss": 0.9321,
|
| 976 |
+
"step": 1370
|
| 977 |
+
},
|
| 978 |
+
{
|
| 979 |
+
"epoch": 1.8673883626522327,
|
| 980 |
+
"grad_norm": 1.3405762910842896,
|
| 981 |
+
"learning_rate": 0.0002,
|
| 982 |
+
"loss": 0.9577,
|
| 983 |
+
"step": 1380
|
| 984 |
+
},
|
| 985 |
+
{
|
| 986 |
+
"epoch": 1.8809201623815968,
|
| 987 |
+
"grad_norm": 1.187905192375183,
|
| 988 |
+
"learning_rate": 0.0002,
|
| 989 |
+
"loss": 0.9279,
|
| 990 |
+
"step": 1390
|
| 991 |
+
},
|
| 992 |
+
{
|
| 993 |
+
"epoch": 1.8944519621109608,
|
| 994 |
+
"grad_norm": 1.403511643409729,
|
| 995 |
+
"learning_rate": 0.0002,
|
| 996 |
+
"loss": 0.9266,
|
| 997 |
+
"step": 1400
|
| 998 |
+
},
|
| 999 |
+
{
|
| 1000 |
+
"epoch": 1.9079837618403248,
|
| 1001 |
+
"grad_norm": 1.4245457649230957,
|
| 1002 |
+
"learning_rate": 0.0002,
|
| 1003 |
+
"loss": 0.9654,
|
| 1004 |
+
"step": 1410
|
| 1005 |
+
},
|
| 1006 |
+
{
|
| 1007 |
+
"epoch": 1.9215155615696888,
|
| 1008 |
+
"grad_norm": 0.6742255687713623,
|
| 1009 |
+
"learning_rate": 0.0002,
|
| 1010 |
+
"loss": 0.9047,
|
| 1011 |
+
"step": 1420
|
| 1012 |
+
},
|
| 1013 |
+
{
|
| 1014 |
+
"epoch": 1.9350473612990529,
|
| 1015 |
+
"grad_norm": 0.9301473498344421,
|
| 1016 |
+
"learning_rate": 0.0002,
|
| 1017 |
+
"loss": 0.9837,
|
| 1018 |
+
"step": 1430
|
| 1019 |
+
},
|
| 1020 |
+
{
|
| 1021 |
+
"epoch": 1.9485791610284169,
|
| 1022 |
+
"grad_norm": 0.8039385080337524,
|
| 1023 |
+
"learning_rate": 0.0002,
|
| 1024 |
+
"loss": 0.9579,
|
| 1025 |
+
"step": 1440
|
| 1026 |
+
},
|
| 1027 |
+
{
|
| 1028 |
+
"epoch": 1.962110960757781,
|
| 1029 |
+
"grad_norm": 0.7449126839637756,
|
| 1030 |
+
"learning_rate": 0.0002,
|
| 1031 |
+
"loss": 0.9433,
|
| 1032 |
+
"step": 1450
|
| 1033 |
+
},
|
| 1034 |
+
{
|
| 1035 |
+
"epoch": 1.975642760487145,
|
| 1036 |
+
"grad_norm": 1.8016695976257324,
|
| 1037 |
+
"learning_rate": 0.0002,
|
| 1038 |
+
"loss": 0.9424,
|
| 1039 |
+
"step": 1460
|
| 1040 |
+
},
|
| 1041 |
+
{
|
| 1042 |
+
"epoch": 1.989174560216509,
|
| 1043 |
+
"grad_norm": 1.3347259759902954,
|
| 1044 |
+
"learning_rate": 0.0002,
|
| 1045 |
+
"loss": 0.9434,
|
| 1046 |
+
"step": 1470
|
| 1047 |
+
},
|
| 1048 |
+
{
|
| 1049 |
+
"epoch": 2.0,
|
| 1050 |
+
"eval_loss": 1.28184974193573,
|
| 1051 |
+
"eval_runtime": 54.9872,
|
| 1052 |
+
"eval_samples_per_second": 8.293,
|
| 1053 |
+
"eval_steps_per_second": 1.037,
|
| 1054 |
+
"step": 1478
|
| 1055 |
+
},
|
| 1056 |
+
{
|
| 1057 |
+
"epoch": 2.002706359945873,
|
| 1058 |
+
"grad_norm": 1.1238535642623901,
|
| 1059 |
+
"learning_rate": 0.0002,
|
| 1060 |
+
"loss": 0.8667,
|
| 1061 |
+
"step": 1480
|
| 1062 |
+
},
|
| 1063 |
+
{
|
| 1064 |
+
"epoch": 2.016238159675237,
|
| 1065 |
+
"grad_norm": 0.9186404943466187,
|
| 1066 |
+
"learning_rate": 0.0002,
|
| 1067 |
+
"loss": 0.741,
|
| 1068 |
+
"step": 1490
|
| 1069 |
+
},
|
| 1070 |
+
{
|
| 1071 |
+
"epoch": 2.029769959404601,
|
| 1072 |
+
"grad_norm": 1.42500901222229,
|
| 1073 |
+
"learning_rate": 0.0002,
|
| 1074 |
+
"loss": 0.7402,
|
| 1075 |
+
"step": 1500
|
| 1076 |
+
},
|
| 1077 |
+
{
|
| 1078 |
+
"epoch": 2.0433017591339646,
|
| 1079 |
+
"grad_norm": 0.9018896222114563,
|
| 1080 |
+
"learning_rate": 0.0002,
|
| 1081 |
+
"loss": 0.6594,
|
| 1082 |
+
"step": 1510
|
| 1083 |
+
},
|
| 1084 |
+
{
|
| 1085 |
+
"epoch": 2.0568335588633286,
|
| 1086 |
+
"grad_norm": 0.9482589364051819,
|
| 1087 |
+
"learning_rate": 0.0002,
|
| 1088 |
+
"loss": 0.7973,
|
| 1089 |
+
"step": 1520
|
| 1090 |
+
},
|
| 1091 |
+
{
|
| 1092 |
+
"epoch": 2.0703653585926927,
|
| 1093 |
+
"grad_norm": 1.7364821434020996,
|
| 1094 |
+
"learning_rate": 0.0002,
|
| 1095 |
+
"loss": 0.7494,
|
| 1096 |
+
"step": 1530
|
| 1097 |
+
},
|
| 1098 |
+
{
|
| 1099 |
+
"epoch": 2.0838971583220567,
|
| 1100 |
+
"grad_norm": 1.1600096225738525,
|
| 1101 |
+
"learning_rate": 0.0002,
|
| 1102 |
+
"loss": 0.6691,
|
| 1103 |
+
"step": 1540
|
| 1104 |
+
},
|
| 1105 |
+
{
|
| 1106 |
+
"epoch": 2.0974289580514207,
|
| 1107 |
+
"grad_norm": 1.1180989742279053,
|
| 1108 |
+
"learning_rate": 0.0002,
|
| 1109 |
+
"loss": 0.7443,
|
| 1110 |
+
"step": 1550
|
| 1111 |
+
},
|
| 1112 |
+
{
|
| 1113 |
+
"epoch": 2.1109607577807847,
|
| 1114 |
+
"grad_norm": 0.7978046536445618,
|
| 1115 |
+
"learning_rate": 0.0002,
|
| 1116 |
+
"loss": 0.7261,
|
| 1117 |
+
"step": 1560
|
| 1118 |
+
},
|
| 1119 |
+
{
|
| 1120 |
+
"epoch": 2.1244925575101488,
|
| 1121 |
+
"grad_norm": 0.9089515805244446,
|
| 1122 |
+
"learning_rate": 0.0002,
|
| 1123 |
+
"loss": 0.7659,
|
| 1124 |
+
"step": 1570
|
| 1125 |
+
},
|
| 1126 |
+
{
|
| 1127 |
+
"epoch": 2.138024357239513,
|
| 1128 |
+
"grad_norm": 1.2802879810333252,
|
| 1129 |
+
"learning_rate": 0.0002,
|
| 1130 |
+
"loss": 0.7751,
|
| 1131 |
+
"step": 1580
|
| 1132 |
+
},
|
| 1133 |
+
{
|
| 1134 |
+
"epoch": 2.151556156968877,
|
| 1135 |
+
"grad_norm": 1.1321839094161987,
|
| 1136 |
+
"learning_rate": 0.0002,
|
| 1137 |
+
"loss": 0.7744,
|
| 1138 |
+
"step": 1590
|
| 1139 |
+
},
|
| 1140 |
+
{
|
| 1141 |
+
"epoch": 2.165087956698241,
|
| 1142 |
+
"grad_norm": 0.9985150098800659,
|
| 1143 |
+
"learning_rate": 0.0002,
|
| 1144 |
+
"loss": 0.699,
|
| 1145 |
+
"step": 1600
|
| 1146 |
+
},
|
| 1147 |
+
{
|
| 1148 |
+
"epoch": 2.178619756427605,
|
| 1149 |
+
"grad_norm": 1.1864978075027466,
|
| 1150 |
+
"learning_rate": 0.0002,
|
| 1151 |
+
"loss": 0.7497,
|
| 1152 |
+
"step": 1610
|
| 1153 |
+
},
|
| 1154 |
+
{
|
| 1155 |
+
"epoch": 2.192151556156969,
|
| 1156 |
+
"grad_norm": 1.0220770835876465,
|
| 1157 |
+
"learning_rate": 0.0002,
|
| 1158 |
+
"loss": 0.7648,
|
| 1159 |
+
"step": 1620
|
| 1160 |
+
},
|
| 1161 |
+
{
|
| 1162 |
+
"epoch": 2.205683355886333,
|
| 1163 |
+
"grad_norm": 1.075281023979187,
|
| 1164 |
+
"learning_rate": 0.0002,
|
| 1165 |
+
"loss": 0.7786,
|
| 1166 |
+
"step": 1630
|
| 1167 |
+
},
|
| 1168 |
+
{
|
| 1169 |
+
"epoch": 2.219215155615697,
|
| 1170 |
+
"grad_norm": 1.7539390325546265,
|
| 1171 |
+
"learning_rate": 0.0002,
|
| 1172 |
+
"loss": 0.7169,
|
| 1173 |
+
"step": 1640
|
| 1174 |
+
},
|
| 1175 |
+
{
|
| 1176 |
+
"epoch": 2.232746955345061,
|
| 1177 |
+
"grad_norm": 0.9327954053878784,
|
| 1178 |
+
"learning_rate": 0.0002,
|
| 1179 |
+
"loss": 0.7145,
|
| 1180 |
+
"step": 1650
|
| 1181 |
+
},
|
| 1182 |
+
{
|
| 1183 |
+
"epoch": 2.246278755074425,
|
| 1184 |
+
"grad_norm": 1.1239676475524902,
|
| 1185 |
+
"learning_rate": 0.0002,
|
| 1186 |
+
"loss": 0.7096,
|
| 1187 |
+
"step": 1660
|
| 1188 |
+
},
|
| 1189 |
+
{
|
| 1190 |
+
"epoch": 2.259810554803789,
|
| 1191 |
+
"grad_norm": 0.887867271900177,
|
| 1192 |
+
"learning_rate": 0.0002,
|
| 1193 |
+
"loss": 0.7516,
|
| 1194 |
+
"step": 1670
|
| 1195 |
+
},
|
| 1196 |
+
{
|
| 1197 |
+
"epoch": 2.273342354533153,
|
| 1198 |
+
"grad_norm": 0.9934070110321045,
|
| 1199 |
+
"learning_rate": 0.0002,
|
| 1200 |
+
"loss": 0.737,
|
| 1201 |
+
"step": 1680
|
| 1202 |
+
},
|
| 1203 |
+
{
|
| 1204 |
+
"epoch": 2.286874154262517,
|
| 1205 |
+
"grad_norm": 1.1046375036239624,
|
| 1206 |
+
"learning_rate": 0.0002,
|
| 1207 |
+
"loss": 0.7891,
|
| 1208 |
+
"step": 1690
|
| 1209 |
+
},
|
| 1210 |
+
{
|
| 1211 |
+
"epoch": 2.300405953991881,
|
| 1212 |
+
"grad_norm": 1.3520793914794922,
|
| 1213 |
+
"learning_rate": 0.0002,
|
| 1214 |
+
"loss": 0.7123,
|
| 1215 |
+
"step": 1700
|
| 1216 |
+
},
|
| 1217 |
+
{
|
| 1218 |
+
"epoch": 2.313937753721245,
|
| 1219 |
+
"grad_norm": 1.0396424531936646,
|
| 1220 |
+
"learning_rate": 0.0002,
|
| 1221 |
+
"loss": 0.722,
|
| 1222 |
+
"step": 1710
|
| 1223 |
+
},
|
| 1224 |
+
{
|
| 1225 |
+
"epoch": 2.3274695534506087,
|
| 1226 |
+
"grad_norm": 1.312713861465454,
|
| 1227 |
+
"learning_rate": 0.0002,
|
| 1228 |
+
"loss": 0.7645,
|
| 1229 |
+
"step": 1720
|
| 1230 |
+
},
|
| 1231 |
+
{
|
| 1232 |
+
"epoch": 2.3410013531799727,
|
| 1233 |
+
"grad_norm": 1.2425963878631592,
|
| 1234 |
+
"learning_rate": 0.0002,
|
| 1235 |
+
"loss": 0.7743,
|
| 1236 |
+
"step": 1730
|
| 1237 |
+
},
|
| 1238 |
+
{
|
| 1239 |
+
"epoch": 2.3545331529093367,
|
| 1240 |
+
"grad_norm": 1.0335496664047241,
|
| 1241 |
+
"learning_rate": 0.0002,
|
| 1242 |
+
"loss": 0.7069,
|
| 1243 |
+
"step": 1740
|
| 1244 |
+
},
|
| 1245 |
+
{
|
| 1246 |
+
"epoch": 2.3680649526387008,
|
| 1247 |
+
"grad_norm": 0.8289833664894104,
|
| 1248 |
+
"learning_rate": 0.0002,
|
| 1249 |
+
"loss": 0.763,
|
| 1250 |
+
"step": 1750
|
| 1251 |
+
},
|
| 1252 |
+
{
|
| 1253 |
+
"epoch": 2.381596752368065,
|
| 1254 |
+
"grad_norm": 1.1725471019744873,
|
| 1255 |
+
"learning_rate": 0.0002,
|
| 1256 |
+
"loss": 0.749,
|
| 1257 |
+
"step": 1760
|
| 1258 |
+
},
|
| 1259 |
+
{
|
| 1260 |
+
"epoch": 2.395128552097429,
|
| 1261 |
+
"grad_norm": 1.10824716091156,
|
| 1262 |
+
"learning_rate": 0.0002,
|
| 1263 |
+
"loss": 0.7842,
|
| 1264 |
+
"step": 1770
|
| 1265 |
+
},
|
| 1266 |
+
{
|
| 1267 |
+
"epoch": 2.408660351826793,
|
| 1268 |
+
"grad_norm": 1.027957797050476,
|
| 1269 |
+
"learning_rate": 0.0002,
|
| 1270 |
+
"loss": 0.8115,
|
| 1271 |
+
"step": 1780
|
| 1272 |
+
},
|
| 1273 |
+
{
|
| 1274 |
+
"epoch": 2.422192151556157,
|
| 1275 |
+
"grad_norm": 1.4744906425476074,
|
| 1276 |
+
"learning_rate": 0.0002,
|
| 1277 |
+
"loss": 0.7529,
|
| 1278 |
+
"step": 1790
|
| 1279 |
+
},
|
| 1280 |
+
{
|
| 1281 |
+
"epoch": 2.435723951285521,
|
| 1282 |
+
"grad_norm": 2.044746160507202,
|
| 1283 |
+
"learning_rate": 0.0002,
|
| 1284 |
+
"loss": 0.7146,
|
| 1285 |
+
"step": 1800
|
| 1286 |
+
},
|
| 1287 |
+
{
|
| 1288 |
+
"epoch": 2.449255751014885,
|
| 1289 |
+
"grad_norm": 0.9940636157989502,
|
| 1290 |
+
"learning_rate": 0.0002,
|
| 1291 |
+
"loss": 0.6738,
|
| 1292 |
+
"step": 1810
|
| 1293 |
+
},
|
| 1294 |
+
{
|
| 1295 |
+
"epoch": 2.462787550744249,
|
| 1296 |
+
"grad_norm": 1.2338303327560425,
|
| 1297 |
+
"learning_rate": 0.0002,
|
| 1298 |
+
"loss": 0.8233,
|
| 1299 |
+
"step": 1820
|
| 1300 |
+
},
|
| 1301 |
+
{
|
| 1302 |
+
"epoch": 2.476319350473613,
|
| 1303 |
+
"grad_norm": 1.1820061206817627,
|
| 1304 |
+
"learning_rate": 0.0002,
|
| 1305 |
+
"loss": 0.6409,
|
| 1306 |
+
"step": 1830
|
| 1307 |
+
},
|
| 1308 |
+
{
|
| 1309 |
+
"epoch": 2.489851150202977,
|
| 1310 |
+
"grad_norm": 1.5557365417480469,
|
| 1311 |
+
"learning_rate": 0.0002,
|
| 1312 |
+
"loss": 0.7744,
|
| 1313 |
+
"step": 1840
|
| 1314 |
+
},
|
| 1315 |
+
{
|
| 1316 |
+
"epoch": 2.503382949932341,
|
| 1317 |
+
"grad_norm": 0.927599310874939,
|
| 1318 |
+
"learning_rate": 0.0002,
|
| 1319 |
+
"loss": 0.742,
|
| 1320 |
+
"step": 1850
|
| 1321 |
+
},
|
| 1322 |
+
{
|
| 1323 |
+
"epoch": 2.516914749661705,
|
| 1324 |
+
"grad_norm": 1.384813666343689,
|
| 1325 |
+
"learning_rate": 0.0002,
|
| 1326 |
+
"loss": 0.7683,
|
| 1327 |
+
"step": 1860
|
| 1328 |
+
},
|
| 1329 |
+
{
|
| 1330 |
+
"epoch": 2.530446549391069,
|
| 1331 |
+
"grad_norm": 1.0022202730178833,
|
| 1332 |
+
"learning_rate": 0.0002,
|
| 1333 |
+
"loss": 0.7841,
|
| 1334 |
+
"step": 1870
|
| 1335 |
+
},
|
| 1336 |
+
{
|
| 1337 |
+
"epoch": 2.543978349120433,
|
| 1338 |
+
"grad_norm": 1.0271503925323486,
|
| 1339 |
+
"learning_rate": 0.0002,
|
| 1340 |
+
"loss": 0.7422,
|
| 1341 |
+
"step": 1880
|
| 1342 |
+
},
|
| 1343 |
+
{
|
| 1344 |
+
"epoch": 2.557510148849797,
|
| 1345 |
+
"grad_norm": 1.2724764347076416,
|
| 1346 |
+
"learning_rate": 0.0002,
|
| 1347 |
+
"loss": 0.7513,
|
| 1348 |
+
"step": 1890
|
| 1349 |
+
},
|
| 1350 |
+
{
|
| 1351 |
+
"epoch": 2.571041948579161,
|
| 1352 |
+
"grad_norm": 0.9063859581947327,
|
| 1353 |
+
"learning_rate": 0.0002,
|
| 1354 |
+
"loss": 0.7594,
|
| 1355 |
+
"step": 1900
|
| 1356 |
+
},
|
| 1357 |
+
{
|
| 1358 |
+
"epoch": 2.584573748308525,
|
| 1359 |
+
"grad_norm": 0.9433910250663757,
|
| 1360 |
+
"learning_rate": 0.0002,
|
| 1361 |
+
"loss": 0.7423,
|
| 1362 |
+
"step": 1910
|
| 1363 |
+
},
|
| 1364 |
+
{
|
| 1365 |
+
"epoch": 2.598105548037889,
|
| 1366 |
+
"grad_norm": 0.8303482532501221,
|
| 1367 |
+
"learning_rate": 0.0002,
|
| 1368 |
+
"loss": 0.6833,
|
| 1369 |
+
"step": 1920
|
| 1370 |
+
},
|
| 1371 |
+
{
|
| 1372 |
+
"epoch": 2.611637347767253,
|
| 1373 |
+
"grad_norm": 1.16862952709198,
|
| 1374 |
+
"learning_rate": 0.0002,
|
| 1375 |
+
"loss": 0.7145,
|
| 1376 |
+
"step": 1930
|
| 1377 |
+
},
|
| 1378 |
+
{
|
| 1379 |
+
"epoch": 2.6251691474966172,
|
| 1380 |
+
"grad_norm": 0.8904703855514526,
|
| 1381 |
+
"learning_rate": 0.0002,
|
| 1382 |
+
"loss": 0.7544,
|
| 1383 |
+
"step": 1940
|
| 1384 |
+
},
|
| 1385 |
+
{
|
| 1386 |
+
"epoch": 2.6387009472259813,
|
| 1387 |
+
"grad_norm": 1.2958505153656006,
|
| 1388 |
+
"learning_rate": 0.0002,
|
| 1389 |
+
"loss": 0.7339,
|
| 1390 |
+
"step": 1950
|
| 1391 |
+
},
|
| 1392 |
+
{
|
| 1393 |
+
"epoch": 2.6522327469553453,
|
| 1394 |
+
"grad_norm": 1.2310389280319214,
|
| 1395 |
+
"learning_rate": 0.0002,
|
| 1396 |
+
"loss": 0.7502,
|
| 1397 |
+
"step": 1960
|
| 1398 |
+
},
|
| 1399 |
+
{
|
| 1400 |
+
"epoch": 2.6657645466847093,
|
| 1401 |
+
"grad_norm": 1.3157947063446045,
|
| 1402 |
+
"learning_rate": 0.0002,
|
| 1403 |
+
"loss": 0.8305,
|
| 1404 |
+
"step": 1970
|
| 1405 |
+
},
|
| 1406 |
+
{
|
| 1407 |
+
"epoch": 2.6792963464140733,
|
| 1408 |
+
"grad_norm": 0.9247841238975525,
|
| 1409 |
+
"learning_rate": 0.0002,
|
| 1410 |
+
"loss": 0.7348,
|
| 1411 |
+
"step": 1980
|
| 1412 |
+
},
|
| 1413 |
+
{
|
| 1414 |
+
"epoch": 2.6928281461434374,
|
| 1415 |
+
"grad_norm": 0.9850119352340698,
|
| 1416 |
+
"learning_rate": 0.0002,
|
| 1417 |
+
"loss": 0.7352,
|
| 1418 |
+
"step": 1990
|
| 1419 |
+
},
|
| 1420 |
+
{
|
| 1421 |
+
"epoch": 2.706359945872801,
|
| 1422 |
+
"grad_norm": 1.59624183177948,
|
| 1423 |
+
"learning_rate": 0.0002,
|
| 1424 |
+
"loss": 0.7794,
|
| 1425 |
+
"step": 2000
|
| 1426 |
+
},
|
| 1427 |
+
{
|
| 1428 |
+
"epoch": 2.719891745602165,
|
| 1429 |
+
"grad_norm": 1.791932225227356,
|
| 1430 |
+
"learning_rate": 0.0002,
|
| 1431 |
+
"loss": 0.6918,
|
| 1432 |
+
"step": 2010
|
| 1433 |
+
},
|
| 1434 |
+
{
|
| 1435 |
+
"epoch": 2.733423545331529,
|
| 1436 |
+
"grad_norm": 0.8530828356742859,
|
| 1437 |
+
"learning_rate": 0.0002,
|
| 1438 |
+
"loss": 0.7616,
|
| 1439 |
+
"step": 2020
|
| 1440 |
+
},
|
| 1441 |
+
{
|
| 1442 |
+
"epoch": 2.746955345060893,
|
| 1443 |
+
"grad_norm": 1.431843638420105,
|
| 1444 |
+
"learning_rate": 0.0002,
|
| 1445 |
+
"loss": 0.8028,
|
| 1446 |
+
"step": 2030
|
| 1447 |
+
},
|
| 1448 |
+
{
|
| 1449 |
+
"epoch": 2.760487144790257,
|
| 1450 |
+
"grad_norm": 1.1818324327468872,
|
| 1451 |
+
"learning_rate": 0.0002,
|
| 1452 |
+
"loss": 0.7403,
|
| 1453 |
+
"step": 2040
|
| 1454 |
+
},
|
| 1455 |
+
{
|
| 1456 |
+
"epoch": 2.774018944519621,
|
| 1457 |
+
"grad_norm": 1.0456408262252808,
|
| 1458 |
+
"learning_rate": 0.0002,
|
| 1459 |
+
"loss": 0.6752,
|
| 1460 |
+
"step": 2050
|
| 1461 |
+
},
|
| 1462 |
+
{
|
| 1463 |
+
"epoch": 2.787550744248985,
|
| 1464 |
+
"grad_norm": 1.5935403108596802,
|
| 1465 |
+
"learning_rate": 0.0002,
|
| 1466 |
+
"loss": 0.7771,
|
| 1467 |
+
"step": 2060
|
| 1468 |
+
},
|
| 1469 |
+
{
|
| 1470 |
+
"epoch": 2.801082543978349,
|
| 1471 |
+
"grad_norm": 1.6653326749801636,
|
| 1472 |
+
"learning_rate": 0.0002,
|
| 1473 |
+
"loss": 0.722,
|
| 1474 |
+
"step": 2070
|
| 1475 |
+
},
|
| 1476 |
+
{
|
| 1477 |
+
"epoch": 2.814614343707713,
|
| 1478 |
+
"grad_norm": 1.2409698963165283,
|
| 1479 |
+
"learning_rate": 0.0002,
|
| 1480 |
+
"loss": 0.7553,
|
| 1481 |
+
"step": 2080
|
| 1482 |
+
},
|
| 1483 |
+
{
|
| 1484 |
+
"epoch": 2.828146143437077,
|
| 1485 |
+
"grad_norm": 0.8511452674865723,
|
| 1486 |
+
"learning_rate": 0.0002,
|
| 1487 |
+
"loss": 0.7483,
|
| 1488 |
+
"step": 2090
|
| 1489 |
+
},
|
| 1490 |
+
{
|
| 1491 |
+
"epoch": 2.841677943166441,
|
| 1492 |
+
"grad_norm": 1.1064083576202393,
|
| 1493 |
+
"learning_rate": 0.0002,
|
| 1494 |
+
"loss": 0.7773,
|
| 1495 |
+
"step": 2100
|
| 1496 |
+
},
|
| 1497 |
+
{
|
| 1498 |
+
"epoch": 2.855209742895805,
|
| 1499 |
+
"grad_norm": 1.5252450704574585,
|
| 1500 |
+
"learning_rate": 0.0002,
|
| 1501 |
+
"loss": 0.8025,
|
| 1502 |
+
"step": 2110
|
| 1503 |
+
},
|
| 1504 |
+
{
|
| 1505 |
+
"epoch": 2.8687415426251692,
|
| 1506 |
+
"grad_norm": 1.8477630615234375,
|
| 1507 |
+
"learning_rate": 0.0002,
|
| 1508 |
+
"loss": 0.7342,
|
| 1509 |
+
"step": 2120
|
| 1510 |
+
},
|
| 1511 |
+
{
|
| 1512 |
+
"epoch": 2.8822733423545333,
|
| 1513 |
+
"grad_norm": 1.8251630067825317,
|
| 1514 |
+
"learning_rate": 0.0002,
|
| 1515 |
+
"loss": 1.0005,
|
| 1516 |
+
"step": 2130
|
| 1517 |
+
},
|
| 1518 |
+
{
|
| 1519 |
+
"epoch": 2.8958051420838973,
|
| 1520 |
+
"grad_norm": 2.0696771144866943,
|
| 1521 |
+
"learning_rate": 0.0002,
|
| 1522 |
+
"loss": 0.8036,
|
| 1523 |
+
"step": 2140
|
| 1524 |
+
},
|
| 1525 |
+
{
|
| 1526 |
+
"epoch": 2.9093369418132613,
|
| 1527 |
+
"grad_norm": 1.0875508785247803,
|
| 1528 |
+
"learning_rate": 0.0002,
|
| 1529 |
+
"loss": 0.7561,
|
| 1530 |
+
"step": 2150
|
| 1531 |
+
},
|
| 1532 |
+
{
|
| 1533 |
+
"epoch": 2.9228687415426253,
|
| 1534 |
+
"grad_norm": 1.1486080884933472,
|
| 1535 |
+
"learning_rate": 0.0002,
|
| 1536 |
+
"loss": 0.808,
|
| 1537 |
+
"step": 2160
|
| 1538 |
+
},
|
| 1539 |
+
{
|
| 1540 |
+
"epoch": 2.936400541271989,
|
| 1541 |
+
"grad_norm": 1.3913694620132446,
|
| 1542 |
+
"learning_rate": 0.0002,
|
| 1543 |
+
"loss": 0.7418,
|
| 1544 |
+
"step": 2170
|
| 1545 |
+
},
|
| 1546 |
+
{
|
| 1547 |
+
"epoch": 2.949932341001353,
|
| 1548 |
+
"grad_norm": 1.0237643718719482,
|
| 1549 |
+
"learning_rate": 0.0002,
|
| 1550 |
+
"loss": 0.7829,
|
| 1551 |
+
"step": 2180
|
| 1552 |
+
},
|
| 1553 |
+
{
|
| 1554 |
+
"epoch": 2.963464140730717,
|
| 1555 |
+
"grad_norm": 1.0060926675796509,
|
| 1556 |
+
"learning_rate": 0.0002,
|
| 1557 |
+
"loss": 0.8717,
|
| 1558 |
+
"step": 2190
|
| 1559 |
+
},
|
| 1560 |
+
{
|
| 1561 |
+
"epoch": 2.976995940460081,
|
| 1562 |
+
"grad_norm": 0.8395462036132812,
|
| 1563 |
+
"learning_rate": 0.0002,
|
| 1564 |
+
"loss": 0.7581,
|
| 1565 |
+
"step": 2200
|
| 1566 |
+
},
|
| 1567 |
+
{
|
| 1568 |
+
"epoch": 2.990527740189445,
|
| 1569 |
+
"grad_norm": 1.4483158588409424,
|
| 1570 |
+
"learning_rate": 0.0002,
|
| 1571 |
+
"loss": 0.7032,
|
| 1572 |
+
"step": 2210
|
| 1573 |
+
},
|
| 1574 |
+
{
|
| 1575 |
+
"epoch": 3.0,
|
| 1576 |
+
"eval_loss": 1.3191189765930176,
|
| 1577 |
+
"eval_runtime": 53.5323,
|
| 1578 |
+
"eval_samples_per_second": 8.518,
|
| 1579 |
+
"eval_steps_per_second": 1.065,
|
| 1580 |
+
"step": 2217
|
| 1581 |
+
},
|
| 1582 |
+
{
|
| 1583 |
+
"epoch": 3.004059539918809,
|
| 1584 |
+
"grad_norm": 0.9717937111854553,
|
| 1585 |
+
"learning_rate": 0.0002,
|
| 1586 |
+
"loss": 0.6775,
|
| 1587 |
+
"step": 2220
|
| 1588 |
+
},
|
| 1589 |
+
{
|
| 1590 |
+
"epoch": 3.017591339648173,
|
| 1591 |
+
"grad_norm": 1.2057876586914062,
|
| 1592 |
+
"learning_rate": 0.0002,
|
| 1593 |
+
"loss": 0.6059,
|
| 1594 |
+
"step": 2230
|
| 1595 |
+
},
|
| 1596 |
+
{
|
| 1597 |
+
"epoch": 3.031123139377537,
|
| 1598 |
+
"grad_norm": 1.2295159101486206,
|
| 1599 |
+
"learning_rate": 0.0002,
|
| 1600 |
+
"loss": 0.5764,
|
| 1601 |
+
"step": 2240
|
| 1602 |
+
},
|
| 1603 |
+
{
|
| 1604 |
+
"epoch": 3.044654939106901,
|
| 1605 |
+
"grad_norm": 1.1200335025787354,
|
| 1606 |
+
"learning_rate": 0.0002,
|
| 1607 |
+
"loss": 0.5088,
|
| 1608 |
+
"step": 2250
|
| 1609 |
+
},
|
| 1610 |
+
{
|
| 1611 |
+
"epoch": 3.058186738836265,
|
| 1612 |
+
"grad_norm": 1.3113594055175781,
|
| 1613 |
+
"learning_rate": 0.0002,
|
| 1614 |
+
"loss": 0.5464,
|
| 1615 |
+
"step": 2260
|
| 1616 |
+
},
|
| 1617 |
+
{
|
| 1618 |
+
"epoch": 3.071718538565629,
|
| 1619 |
+
"grad_norm": 1.3074201345443726,
|
| 1620 |
+
"learning_rate": 0.0002,
|
| 1621 |
+
"loss": 0.5959,
|
| 1622 |
+
"step": 2270
|
| 1623 |
+
},
|
| 1624 |
+
{
|
| 1625 |
+
"epoch": 3.085250338294993,
|
| 1626 |
+
"grad_norm": 1.7636418342590332,
|
| 1627 |
+
"learning_rate": 0.0002,
|
| 1628 |
+
"loss": 0.642,
|
| 1629 |
+
"step": 2280
|
| 1630 |
+
},
|
| 1631 |
+
{
|
| 1632 |
+
"epoch": 3.098782138024357,
|
| 1633 |
+
"grad_norm": 1.2225017547607422,
|
| 1634 |
+
"learning_rate": 0.0002,
|
| 1635 |
+
"loss": 0.5645,
|
| 1636 |
+
"step": 2290
|
| 1637 |
+
},
|
| 1638 |
+
{
|
| 1639 |
+
"epoch": 3.1123139377537212,
|
| 1640 |
+
"grad_norm": 1.062538743019104,
|
| 1641 |
+
"learning_rate": 0.0002,
|
| 1642 |
+
"loss": 0.5587,
|
| 1643 |
+
"step": 2300
|
| 1644 |
+
},
|
| 1645 |
+
{
|
| 1646 |
+
"epoch": 3.1258457374830853,
|
| 1647 |
+
"grad_norm": 1.9475018978118896,
|
| 1648 |
+
"learning_rate": 0.0002,
|
| 1649 |
+
"loss": 0.5426,
|
| 1650 |
+
"step": 2310
|
| 1651 |
+
},
|
| 1652 |
+
{
|
| 1653 |
+
"epoch": 3.1393775372124493,
|
| 1654 |
+
"grad_norm": 1.3695366382598877,
|
| 1655 |
+
"learning_rate": 0.0002,
|
| 1656 |
+
"loss": 0.5028,
|
| 1657 |
+
"step": 2320
|
| 1658 |
+
},
|
| 1659 |
+
{
|
| 1660 |
+
"epoch": 3.1529093369418133,
|
| 1661 |
+
"grad_norm": 1.4610179662704468,
|
| 1662 |
+
"learning_rate": 0.0002,
|
| 1663 |
+
"loss": 0.6278,
|
| 1664 |
+
"step": 2330
|
| 1665 |
+
},
|
| 1666 |
+
{
|
| 1667 |
+
"epoch": 3.1664411366711773,
|
| 1668 |
+
"grad_norm": 1.1319258213043213,
|
| 1669 |
+
"learning_rate": 0.0002,
|
| 1670 |
+
"loss": 0.6062,
|
| 1671 |
+
"step": 2340
|
| 1672 |
+
},
|
| 1673 |
+
{
|
| 1674 |
+
"epoch": 3.1799729364005414,
|
| 1675 |
+
"grad_norm": 1.8418315649032593,
|
| 1676 |
+
"learning_rate": 0.0002,
|
| 1677 |
+
"loss": 0.5946,
|
| 1678 |
+
"step": 2350
|
| 1679 |
+
},
|
| 1680 |
+
{
|
| 1681 |
+
"epoch": 3.1935047361299054,
|
| 1682 |
+
"grad_norm": 1.0682015419006348,
|
| 1683 |
+
"learning_rate": 0.0002,
|
| 1684 |
+
"loss": 0.6215,
|
| 1685 |
+
"step": 2360
|
| 1686 |
+
},
|
| 1687 |
+
{
|
| 1688 |
+
"epoch": 3.2070365358592694,
|
| 1689 |
+
"grad_norm": 0.9852792024612427,
|
| 1690 |
+
"learning_rate": 0.0002,
|
| 1691 |
+
"loss": 0.5431,
|
| 1692 |
+
"step": 2370
|
| 1693 |
+
},
|
| 1694 |
+
{
|
| 1695 |
+
"epoch": 3.2205683355886334,
|
| 1696 |
+
"grad_norm": 1.447991967201233,
|
| 1697 |
+
"learning_rate": 0.0002,
|
| 1698 |
+
"loss": 0.561,
|
| 1699 |
+
"step": 2380
|
| 1700 |
+
},
|
| 1701 |
+
{
|
| 1702 |
+
"epoch": 3.2341001353179974,
|
| 1703 |
+
"grad_norm": 1.3113367557525635,
|
| 1704 |
+
"learning_rate": 0.0002,
|
| 1705 |
+
"loss": 0.6143,
|
| 1706 |
+
"step": 2390
|
| 1707 |
+
},
|
| 1708 |
+
{
|
| 1709 |
+
"epoch": 3.2476319350473615,
|
| 1710 |
+
"grad_norm": 1.412656307220459,
|
| 1711 |
+
"learning_rate": 0.0002,
|
| 1712 |
+
"loss": 0.6268,
|
| 1713 |
+
"step": 2400
|
| 1714 |
+
},
|
| 1715 |
+
{
|
| 1716 |
+
"epoch": 3.2611637347767255,
|
| 1717 |
+
"grad_norm": 1.41526198387146,
|
| 1718 |
+
"learning_rate": 0.0002,
|
| 1719 |
+
"loss": 0.5883,
|
| 1720 |
+
"step": 2410
|
| 1721 |
+
},
|
| 1722 |
+
{
|
| 1723 |
+
"epoch": 3.2746955345060895,
|
| 1724 |
+
"grad_norm": 1.5622785091400146,
|
| 1725 |
+
"learning_rate": 0.0002,
|
| 1726 |
+
"loss": 0.5242,
|
| 1727 |
+
"step": 2420
|
| 1728 |
+
},
|
| 1729 |
+
{
|
| 1730 |
+
"epoch": 3.2882273342354535,
|
| 1731 |
+
"grad_norm": 1.6155788898468018,
|
| 1732 |
+
"learning_rate": 0.0002,
|
| 1733 |
+
"loss": 0.5536,
|
| 1734 |
+
"step": 2430
|
| 1735 |
+
},
|
| 1736 |
+
{
|
| 1737 |
+
"epoch": 3.301759133964817,
|
| 1738 |
+
"grad_norm": 1.4699913263320923,
|
| 1739 |
+
"learning_rate": 0.0002,
|
| 1740 |
+
"loss": 0.5464,
|
| 1741 |
+
"step": 2440
|
| 1742 |
+
},
|
| 1743 |
+
{
|
| 1744 |
+
"epoch": 3.315290933694181,
|
| 1745 |
+
"grad_norm": 1.0095789432525635,
|
| 1746 |
+
"learning_rate": 0.0002,
|
| 1747 |
+
"loss": 0.6074,
|
| 1748 |
+
"step": 2450
|
| 1749 |
+
},
|
| 1750 |
+
{
|
| 1751 |
+
"epoch": 3.328822733423545,
|
| 1752 |
+
"grad_norm": 1.620950698852539,
|
| 1753 |
+
"learning_rate": 0.0002,
|
| 1754 |
+
"loss": 0.5316,
|
| 1755 |
+
"step": 2460
|
| 1756 |
+
},
|
| 1757 |
+
{
|
| 1758 |
+
"epoch": 3.342354533152909,
|
| 1759 |
+
"grad_norm": 1.4491326808929443,
|
| 1760 |
+
"learning_rate": 0.0002,
|
| 1761 |
+
"loss": 0.6617,
|
| 1762 |
+
"step": 2470
|
| 1763 |
+
},
|
| 1764 |
+
{
|
| 1765 |
+
"epoch": 3.3558863328822732,
|
| 1766 |
+
"grad_norm": 1.9128118753433228,
|
| 1767 |
+
"learning_rate": 0.0002,
|
| 1768 |
+
"loss": 0.5639,
|
| 1769 |
+
"step": 2480
|
| 1770 |
+
},
|
| 1771 |
+
{
|
| 1772 |
+
"epoch": 3.3694181326116373,
|
| 1773 |
+
"grad_norm": 1.36688232421875,
|
| 1774 |
+
"learning_rate": 0.0002,
|
| 1775 |
+
"loss": 0.5958,
|
| 1776 |
+
"step": 2490
|
| 1777 |
+
},
|
| 1778 |
+
{
|
| 1779 |
+
"epoch": 3.3829499323410013,
|
| 1780 |
+
"grad_norm": 1.455443263053894,
|
| 1781 |
+
"learning_rate": 0.0002,
|
| 1782 |
+
"loss": 0.5432,
|
| 1783 |
+
"step": 2500
|
| 1784 |
+
},
|
| 1785 |
+
{
|
| 1786 |
+
"epoch": 3.3964817320703653,
|
| 1787 |
+
"grad_norm": 1.2894777059555054,
|
| 1788 |
+
"learning_rate": 0.0002,
|
| 1789 |
+
"loss": 0.6697,
|
| 1790 |
+
"step": 2510
|
| 1791 |
+
},
|
| 1792 |
+
{
|
| 1793 |
+
"epoch": 3.4100135317997293,
|
| 1794 |
+
"grad_norm": 1.3889403343200684,
|
| 1795 |
+
"learning_rate": 0.0002,
|
| 1796 |
+
"loss": 0.5893,
|
| 1797 |
+
"step": 2520
|
| 1798 |
+
},
|
| 1799 |
+
{
|
| 1800 |
+
"epoch": 3.4235453315290933,
|
| 1801 |
+
"grad_norm": 1.4315358400344849,
|
| 1802 |
+
"learning_rate": 0.0002,
|
| 1803 |
+
"loss": 0.5148,
|
| 1804 |
+
"step": 2530
|
| 1805 |
+
},
|
| 1806 |
+
{
|
| 1807 |
+
"epoch": 3.4370771312584574,
|
| 1808 |
+
"grad_norm": 1.3308886289596558,
|
| 1809 |
+
"learning_rate": 0.0002,
|
| 1810 |
+
"loss": 0.5766,
|
| 1811 |
+
"step": 2540
|
| 1812 |
+
},
|
| 1813 |
+
{
|
| 1814 |
+
"epoch": 3.4506089309878214,
|
| 1815 |
+
"grad_norm": 1.2735179662704468,
|
| 1816 |
+
"learning_rate": 0.0002,
|
| 1817 |
+
"loss": 0.6168,
|
| 1818 |
+
"step": 2550
|
| 1819 |
+
},
|
| 1820 |
+
{
|
| 1821 |
+
"epoch": 3.4641407307171854,
|
| 1822 |
+
"grad_norm": 1.2731887102127075,
|
| 1823 |
+
"learning_rate": 0.0002,
|
| 1824 |
+
"loss": 0.6133,
|
| 1825 |
+
"step": 2560
|
| 1826 |
+
},
|
| 1827 |
+
{
|
| 1828 |
+
"epoch": 3.4776725304465494,
|
| 1829 |
+
"grad_norm": 2.390596628189087,
|
| 1830 |
+
"learning_rate": 0.0002,
|
| 1831 |
+
"loss": 0.5956,
|
| 1832 |
+
"step": 2570
|
| 1833 |
+
},
|
| 1834 |
+
{
|
| 1835 |
+
"epoch": 3.4912043301759135,
|
| 1836 |
+
"grad_norm": 1.3651424646377563,
|
| 1837 |
+
"learning_rate": 0.0002,
|
| 1838 |
+
"loss": 0.576,
|
| 1839 |
+
"step": 2580
|
| 1840 |
+
},
|
| 1841 |
+
{
|
| 1842 |
+
"epoch": 3.5047361299052775,
|
| 1843 |
+
"grad_norm": 0.9903562068939209,
|
| 1844 |
+
"learning_rate": 0.0002,
|
| 1845 |
+
"loss": 0.5456,
|
| 1846 |
+
"step": 2590
|
| 1847 |
+
},
|
| 1848 |
+
{
|
| 1849 |
+
"epoch": 3.5182679296346415,
|
| 1850 |
+
"grad_norm": 1.467106580734253,
|
| 1851 |
+
"learning_rate": 0.0002,
|
| 1852 |
+
"loss": 0.6323,
|
| 1853 |
+
"step": 2600
|
| 1854 |
+
},
|
| 1855 |
+
{
|
| 1856 |
+
"epoch": 3.5317997293640055,
|
| 1857 |
+
"grad_norm": 1.4800456762313843,
|
| 1858 |
+
"learning_rate": 0.0002,
|
| 1859 |
+
"loss": 0.6195,
|
| 1860 |
+
"step": 2610
|
| 1861 |
+
},
|
| 1862 |
+
{
|
| 1863 |
+
"epoch": 3.5453315290933696,
|
| 1864 |
+
"grad_norm": 1.140714406967163,
|
| 1865 |
+
"learning_rate": 0.0002,
|
| 1866 |
+
"loss": 0.5971,
|
| 1867 |
+
"step": 2620
|
| 1868 |
+
},
|
| 1869 |
+
{
|
| 1870 |
+
"epoch": 3.558863328822733,
|
| 1871 |
+
"grad_norm": 2.1062142848968506,
|
| 1872 |
+
"learning_rate": 0.0002,
|
| 1873 |
+
"loss": 0.6463,
|
| 1874 |
+
"step": 2630
|
| 1875 |
+
},
|
| 1876 |
+
{
|
| 1877 |
+
"epoch": 3.572395128552097,
|
| 1878 |
+
"grad_norm": 1.3074438571929932,
|
| 1879 |
+
"learning_rate": 0.0002,
|
| 1880 |
+
"loss": 0.5909,
|
| 1881 |
+
"step": 2640
|
| 1882 |
+
},
|
| 1883 |
+
{
|
| 1884 |
+
"epoch": 3.585926928281461,
|
| 1885 |
+
"grad_norm": 1.80443274974823,
|
| 1886 |
+
"learning_rate": 0.0002,
|
| 1887 |
+
"loss": 0.6123,
|
| 1888 |
+
"step": 2650
|
| 1889 |
+
},
|
| 1890 |
+
{
|
| 1891 |
+
"epoch": 3.5994587280108252,
|
| 1892 |
+
"grad_norm": 1.0620969533920288,
|
| 1893 |
+
"learning_rate": 0.0002,
|
| 1894 |
+
"loss": 0.6347,
|
| 1895 |
+
"step": 2660
|
| 1896 |
+
},
|
| 1897 |
+
{
|
| 1898 |
+
"epoch": 3.6129905277401893,
|
| 1899 |
+
"grad_norm": 1.3793504238128662,
|
| 1900 |
+
"learning_rate": 0.0002,
|
| 1901 |
+
"loss": 0.6084,
|
| 1902 |
+
"step": 2670
|
| 1903 |
+
},
|
| 1904 |
+
{
|
| 1905 |
+
"epoch": 3.6265223274695533,
|
| 1906 |
+
"grad_norm": 1.0759015083312988,
|
| 1907 |
+
"learning_rate": 0.0002,
|
| 1908 |
+
"loss": 0.615,
|
| 1909 |
+
"step": 2680
|
| 1910 |
+
},
|
| 1911 |
+
{
|
| 1912 |
+
"epoch": 3.6400541271989173,
|
| 1913 |
+
"grad_norm": 1.5374208688735962,
|
| 1914 |
+
"learning_rate": 0.0002,
|
| 1915 |
+
"loss": 0.6319,
|
| 1916 |
+
"step": 2690
|
| 1917 |
+
},
|
| 1918 |
+
{
|
| 1919 |
+
"epoch": 3.6535859269282813,
|
| 1920 |
+
"grad_norm": 1.690587043762207,
|
| 1921 |
+
"learning_rate": 0.0002,
|
| 1922 |
+
"loss": 0.5328,
|
| 1923 |
+
"step": 2700
|
| 1924 |
+
},
|
| 1925 |
+
{
|
| 1926 |
+
"epoch": 3.6671177266576453,
|
| 1927 |
+
"grad_norm": 1.2092949151992798,
|
| 1928 |
+
"learning_rate": 0.0002,
|
| 1929 |
+
"loss": 0.5715,
|
| 1930 |
+
"step": 2710
|
| 1931 |
+
},
|
| 1932 |
+
{
|
| 1933 |
+
"epoch": 3.6806495263870094,
|
| 1934 |
+
"grad_norm": 1.8789589405059814,
|
| 1935 |
+
"learning_rate": 0.0002,
|
| 1936 |
+
"loss": 0.6063,
|
| 1937 |
+
"step": 2720
|
| 1938 |
+
},
|
| 1939 |
+
{
|
| 1940 |
+
"epoch": 3.6941813261163734,
|
| 1941 |
+
"grad_norm": 1.5840286016464233,
|
| 1942 |
+
"learning_rate": 0.0002,
|
| 1943 |
+
"loss": 0.5823,
|
| 1944 |
+
"step": 2730
|
| 1945 |
+
},
|
| 1946 |
+
{
|
| 1947 |
+
"epoch": 3.7077131258457374,
|
| 1948 |
+
"grad_norm": 1.3318506479263306,
|
| 1949 |
+
"learning_rate": 0.0002,
|
| 1950 |
+
"loss": 0.6039,
|
| 1951 |
+
"step": 2740
|
| 1952 |
+
},
|
| 1953 |
+
{
|
| 1954 |
+
"epoch": 3.7212449255751014,
|
| 1955 |
+
"grad_norm": 1.0107663869857788,
|
| 1956 |
+
"learning_rate": 0.0002,
|
| 1957 |
+
"loss": 0.6488,
|
| 1958 |
+
"step": 2750
|
| 1959 |
+
},
|
| 1960 |
+
{
|
| 1961 |
+
"epoch": 3.7347767253044655,
|
| 1962 |
+
"grad_norm": 1.152219295501709,
|
| 1963 |
+
"learning_rate": 0.0002,
|
| 1964 |
+
"loss": 0.6657,
|
| 1965 |
+
"step": 2760
|
| 1966 |
+
},
|
| 1967 |
+
{
|
| 1968 |
+
"epoch": 3.7483085250338295,
|
| 1969 |
+
"grad_norm": 1.4025444984436035,
|
| 1970 |
+
"learning_rate": 0.0002,
|
| 1971 |
+
"loss": 0.5845,
|
| 1972 |
+
"step": 2770
|
| 1973 |
+
},
|
| 1974 |
+
{
|
| 1975 |
+
"epoch": 3.7618403247631935,
|
| 1976 |
+
"grad_norm": 0.9559378623962402,
|
| 1977 |
+
"learning_rate": 0.0002,
|
| 1978 |
+
"loss": 0.6215,
|
| 1979 |
+
"step": 2780
|
| 1980 |
+
},
|
| 1981 |
+
{
|
| 1982 |
+
"epoch": 3.7753721244925575,
|
| 1983 |
+
"grad_norm": 1.196541428565979,
|
| 1984 |
+
"learning_rate": 0.0002,
|
| 1985 |
+
"loss": 0.6469,
|
| 1986 |
+
"step": 2790
|
| 1987 |
+
},
|
| 1988 |
+
{
|
| 1989 |
+
"epoch": 3.7889039242219216,
|
| 1990 |
+
"grad_norm": 1.0485719442367554,
|
| 1991 |
+
"learning_rate": 0.0002,
|
| 1992 |
+
"loss": 0.5686,
|
| 1993 |
+
"step": 2800
|
| 1994 |
+
},
|
| 1995 |
+
{
|
| 1996 |
+
"epoch": 3.8024357239512856,
|
| 1997 |
+
"grad_norm": 1.3199235200881958,
|
| 1998 |
+
"learning_rate": 0.0002,
|
| 1999 |
+
"loss": 0.557,
|
| 2000 |
+
"step": 2810
|
| 2001 |
+
},
|
| 2002 |
+
{
|
| 2003 |
+
"epoch": 3.8159675236806496,
|
| 2004 |
+
"grad_norm": 1.8519755601882935,
|
| 2005 |
+
"learning_rate": 0.0002,
|
| 2006 |
+
"loss": 0.5797,
|
| 2007 |
+
"step": 2820
|
| 2008 |
+
},
|
| 2009 |
+
{
|
| 2010 |
+
"epoch": 3.8294993234100136,
|
| 2011 |
+
"grad_norm": 1.3234314918518066,
|
| 2012 |
+
"learning_rate": 0.0002,
|
| 2013 |
+
"loss": 0.6194,
|
| 2014 |
+
"step": 2830
|
| 2015 |
+
},
|
| 2016 |
+
{
|
| 2017 |
+
"epoch": 3.8430311231393777,
|
| 2018 |
+
"grad_norm": 1.5337995290756226,
|
| 2019 |
+
"learning_rate": 0.0002,
|
| 2020 |
+
"loss": 0.6192,
|
| 2021 |
+
"step": 2840
|
| 2022 |
+
},
|
| 2023 |
+
{
|
| 2024 |
+
"epoch": 3.8565629228687417,
|
| 2025 |
+
"grad_norm": 1.3527625799179077,
|
| 2026 |
+
"learning_rate": 0.0002,
|
| 2027 |
+
"loss": 0.5753,
|
| 2028 |
+
"step": 2850
|
| 2029 |
+
},
|
| 2030 |
+
{
|
| 2031 |
+
"epoch": 3.8700947225981057,
|
| 2032 |
+
"grad_norm": 1.1479119062423706,
|
| 2033 |
+
"learning_rate": 0.0002,
|
| 2034 |
+
"loss": 0.6199,
|
| 2035 |
+
"step": 2860
|
| 2036 |
+
},
|
| 2037 |
+
{
|
| 2038 |
+
"epoch": 3.8836265223274697,
|
| 2039 |
+
"grad_norm": 1.8172897100448608,
|
| 2040 |
+
"learning_rate": 0.0002,
|
| 2041 |
+
"loss": 0.5928,
|
| 2042 |
+
"step": 2870
|
| 2043 |
+
},
|
| 2044 |
+
{
|
| 2045 |
+
"epoch": 3.8971583220568338,
|
| 2046 |
+
"grad_norm": 2.219006061553955,
|
| 2047 |
+
"learning_rate": 0.0002,
|
| 2048 |
+
"loss": 0.6224,
|
| 2049 |
+
"step": 2880
|
| 2050 |
+
},
|
| 2051 |
+
{
|
| 2052 |
+
"epoch": 3.910690121786198,
|
| 2053 |
+
"grad_norm": 1.1499899625778198,
|
| 2054 |
+
"learning_rate": 0.0002,
|
| 2055 |
+
"loss": 0.6196,
|
| 2056 |
+
"step": 2890
|
| 2057 |
+
},
|
| 2058 |
+
{
|
| 2059 |
+
"epoch": 3.924221921515562,
|
| 2060 |
+
"grad_norm": 1.2255879640579224,
|
| 2061 |
+
"learning_rate": 0.0002,
|
| 2062 |
+
"loss": 0.6052,
|
| 2063 |
+
"step": 2900
|
| 2064 |
+
},
|
| 2065 |
+
{
|
| 2066 |
+
"epoch": 3.937753721244926,
|
| 2067 |
+
"grad_norm": 1.3766648769378662,
|
| 2068 |
+
"learning_rate": 0.0002,
|
| 2069 |
+
"loss": 0.6153,
|
| 2070 |
+
"step": 2910
|
| 2071 |
+
},
|
| 2072 |
+
{
|
| 2073 |
+
"epoch": 3.9512855209742894,
|
| 2074 |
+
"grad_norm": 1.5438952445983887,
|
| 2075 |
+
"learning_rate": 0.0002,
|
| 2076 |
+
"loss": 0.5182,
|
| 2077 |
+
"step": 2920
|
| 2078 |
+
},
|
| 2079 |
+
{
|
| 2080 |
+
"epoch": 3.9648173207036534,
|
| 2081 |
+
"grad_norm": 1.904476523399353,
|
| 2082 |
+
"learning_rate": 0.0002,
|
| 2083 |
+
"loss": 0.5805,
|
| 2084 |
+
"step": 2930
|
| 2085 |
+
},
|
| 2086 |
+
{
|
| 2087 |
+
"epoch": 3.9783491204330175,
|
| 2088 |
+
"grad_norm": 1.5277420282363892,
|
| 2089 |
+
"learning_rate": 0.0002,
|
| 2090 |
+
"loss": 0.6441,
|
| 2091 |
+
"step": 2940
|
| 2092 |
+
},
|
| 2093 |
+
{
|
| 2094 |
+
"epoch": 3.9918809201623815,
|
| 2095 |
+
"grad_norm": 1.4065558910369873,
|
| 2096 |
+
"learning_rate": 0.0002,
|
| 2097 |
+
"loss": 0.6155,
|
| 2098 |
+
"step": 2950
|
| 2099 |
+
},
|
| 2100 |
+
{
|
| 2101 |
+
"epoch": 4.0,
|
| 2102 |
+
"eval_loss": 1.4007929563522339,
|
| 2103 |
+
"eval_runtime": 46.5624,
|
| 2104 |
+
"eval_samples_per_second": 9.793,
|
| 2105 |
+
"eval_steps_per_second": 1.224,
|
| 2106 |
+
"step": 2956
|
| 2107 |
+
},
|
| 2108 |
+
{
|
| 2109 |
+
"epoch": 4.005412719891746,
|
| 2110 |
+
"grad_norm": 1.1447370052337646,
|
| 2111 |
+
"learning_rate": 0.0002,
|
| 2112 |
+
"loss": 0.621,
|
| 2113 |
+
"step": 2960
|
| 2114 |
+
},
|
| 2115 |
+
{
|
| 2116 |
+
"epoch": 4.01894451962111,
|
| 2117 |
+
"grad_norm": 2.373656749725342,
|
| 2118 |
+
"learning_rate": 0.0002,
|
| 2119 |
+
"loss": 0.4338,
|
| 2120 |
+
"step": 2970
|
| 2121 |
+
},
|
| 2122 |
+
{
|
| 2123 |
+
"epoch": 4.032476319350474,
|
| 2124 |
+
"grad_norm": 1.6204203367233276,
|
| 2125 |
+
"learning_rate": 0.0002,
|
| 2126 |
+
"loss": 0.4464,
|
| 2127 |
+
"step": 2980
|
| 2128 |
+
},
|
| 2129 |
+
{
|
| 2130 |
+
"epoch": 4.046008119079838,
|
| 2131 |
+
"grad_norm": 1.4535361528396606,
|
| 2132 |
+
"learning_rate": 0.0002,
|
| 2133 |
+
"loss": 0.4758,
|
| 2134 |
+
"step": 2990
|
| 2135 |
+
},
|
| 2136 |
+
{
|
| 2137 |
+
"epoch": 4.059539918809202,
|
| 2138 |
+
"grad_norm": 1.4007105827331543,
|
| 2139 |
+
"learning_rate": 0.0002,
|
| 2140 |
+
"loss": 0.5019,
|
| 2141 |
+
"step": 3000
|
| 2142 |
+
},
|
| 2143 |
+
{
|
| 2144 |
+
"epoch": 4.073071718538565,
|
| 2145 |
+
"grad_norm": 1.429174542427063,
|
| 2146 |
+
"learning_rate": 0.0002,
|
| 2147 |
+
"loss": 0.4113,
|
| 2148 |
+
"step": 3010
|
| 2149 |
+
},
|
| 2150 |
+
{
|
| 2151 |
+
"epoch": 4.086603518267929,
|
| 2152 |
+
"grad_norm": 2.3854527473449707,
|
| 2153 |
+
"learning_rate": 0.0002,
|
| 2154 |
+
"loss": 0.4813,
|
| 2155 |
+
"step": 3020
|
| 2156 |
+
},
|
| 2157 |
+
{
|
| 2158 |
+
"epoch": 4.100135317997293,
|
| 2159 |
+
"grad_norm": 1.4506710767745972,
|
| 2160 |
+
"learning_rate": 0.0002,
|
| 2161 |
+
"loss": 0.4133,
|
| 2162 |
+
"step": 3030
|
| 2163 |
+
},
|
| 2164 |
+
{
|
| 2165 |
+
"epoch": 4.113667117726657,
|
| 2166 |
+
"grad_norm": 1.753843069076538,
|
| 2167 |
+
"learning_rate": 0.0002,
|
| 2168 |
+
"loss": 0.4594,
|
| 2169 |
+
"step": 3040
|
| 2170 |
+
},
|
| 2171 |
+
{
|
| 2172 |
+
"epoch": 4.127198917456021,
|
| 2173 |
+
"grad_norm": 1.2288557291030884,
|
| 2174 |
+
"learning_rate": 0.0002,
|
| 2175 |
+
"loss": 0.4558,
|
| 2176 |
+
"step": 3050
|
| 2177 |
+
},
|
| 2178 |
+
{
|
| 2179 |
+
"epoch": 4.140730717185385,
|
| 2180 |
+
"grad_norm": 1.6144076585769653,
|
| 2181 |
+
"learning_rate": 0.0002,
|
| 2182 |
+
"loss": 0.4575,
|
| 2183 |
+
"step": 3060
|
| 2184 |
+
},
|
| 2185 |
+
{
|
| 2186 |
+
"epoch": 4.154262516914749,
|
| 2187 |
+
"grad_norm": 1.3560758829116821,
|
| 2188 |
+
"learning_rate": 0.0002,
|
| 2189 |
+
"loss": 0.469,
|
| 2190 |
+
"step": 3070
|
| 2191 |
+
},
|
| 2192 |
+
{
|
| 2193 |
+
"epoch": 4.167794316644113,
|
| 2194 |
+
"grad_norm": 2.0955488681793213,
|
| 2195 |
+
"learning_rate": 0.0002,
|
| 2196 |
+
"loss": 0.4419,
|
| 2197 |
+
"step": 3080
|
| 2198 |
+
},
|
| 2199 |
+
{
|
| 2200 |
+
"epoch": 4.181326116373477,
|
| 2201 |
+
"grad_norm": 1.7745214700698853,
|
| 2202 |
+
"learning_rate": 0.0002,
|
| 2203 |
+
"loss": 0.413,
|
| 2204 |
+
"step": 3090
|
| 2205 |
+
},
|
| 2206 |
+
{
|
| 2207 |
+
"epoch": 4.194857916102841,
|
| 2208 |
+
"grad_norm": 1.6405600309371948,
|
| 2209 |
+
"learning_rate": 0.0002,
|
| 2210 |
+
"loss": 0.5026,
|
| 2211 |
+
"step": 3100
|
| 2212 |
+
},
|
| 2213 |
+
{
|
| 2214 |
+
"epoch": 4.2083897158322054,
|
| 2215 |
+
"grad_norm": 2.1980135440826416,
|
| 2216 |
+
"learning_rate": 0.0002,
|
| 2217 |
+
"loss": 0.5206,
|
| 2218 |
+
"step": 3110
|
| 2219 |
+
},
|
| 2220 |
+
{
|
| 2221 |
+
"epoch": 4.2219215155615695,
|
| 2222 |
+
"grad_norm": 1.497697114944458,
|
| 2223 |
+
"learning_rate": 0.0002,
|
| 2224 |
+
"loss": 0.4846,
|
| 2225 |
+
"step": 3120
|
| 2226 |
+
},
|
| 2227 |
+
{
|
| 2228 |
+
"epoch": 4.2354533152909335,
|
| 2229 |
+
"grad_norm": 2.131647825241089,
|
| 2230 |
+
"learning_rate": 0.0002,
|
| 2231 |
+
"loss": 0.4402,
|
| 2232 |
+
"step": 3130
|
| 2233 |
+
},
|
| 2234 |
+
{
|
| 2235 |
+
"epoch": 4.2489851150202975,
|
| 2236 |
+
"grad_norm": 1.530166745185852,
|
| 2237 |
+
"learning_rate": 0.0002,
|
| 2238 |
+
"loss": 0.4419,
|
| 2239 |
+
"step": 3140
|
| 2240 |
+
},
|
| 2241 |
+
{
|
| 2242 |
+
"epoch": 4.2625169147496615,
|
| 2243 |
+
"grad_norm": 1.891534686088562,
|
| 2244 |
+
"learning_rate": 0.0002,
|
| 2245 |
+
"loss": 0.4958,
|
| 2246 |
+
"step": 3150
|
| 2247 |
+
},
|
| 2248 |
+
{
|
| 2249 |
+
"epoch": 4.276048714479026,
|
| 2250 |
+
"grad_norm": 1.6743305921554565,
|
| 2251 |
+
"learning_rate": 0.0002,
|
| 2252 |
+
"loss": 0.4452,
|
| 2253 |
+
"step": 3160
|
| 2254 |
+
},
|
| 2255 |
+
{
|
| 2256 |
+
"epoch": 4.28958051420839,
|
| 2257 |
+
"grad_norm": 1.0215026140213013,
|
| 2258 |
+
"learning_rate": 0.0002,
|
| 2259 |
+
"loss": 0.4832,
|
| 2260 |
+
"step": 3170
|
| 2261 |
+
},
|
| 2262 |
+
{
|
| 2263 |
+
"epoch": 4.303112313937754,
|
| 2264 |
+
"grad_norm": 1.2947571277618408,
|
| 2265 |
+
"learning_rate": 0.0002,
|
| 2266 |
+
"loss": 0.4753,
|
| 2267 |
+
"step": 3180
|
| 2268 |
+
},
|
| 2269 |
+
{
|
| 2270 |
+
"epoch": 4.316644113667118,
|
| 2271 |
+
"grad_norm": 1.3008885383605957,
|
| 2272 |
+
"learning_rate": 0.0002,
|
| 2273 |
+
"loss": 0.4642,
|
| 2274 |
+
"step": 3190
|
| 2275 |
+
},
|
| 2276 |
+
{
|
| 2277 |
+
"epoch": 4.330175913396482,
|
| 2278 |
+
"grad_norm": 1.5144374370574951,
|
| 2279 |
+
"learning_rate": 0.0002,
|
| 2280 |
+
"loss": 0.4942,
|
| 2281 |
+
"step": 3200
|
| 2282 |
+
},
|
| 2283 |
+
{
|
| 2284 |
+
"epoch": 4.343707713125846,
|
| 2285 |
+
"grad_norm": 1.5779962539672852,
|
| 2286 |
+
"learning_rate": 0.0002,
|
| 2287 |
+
"loss": 0.4567,
|
| 2288 |
+
"step": 3210
|
| 2289 |
+
},
|
| 2290 |
+
{
|
| 2291 |
+
"epoch": 4.35723951285521,
|
| 2292 |
+
"grad_norm": 1.264953851699829,
|
| 2293 |
+
"learning_rate": 0.0002,
|
| 2294 |
+
"loss": 0.4748,
|
| 2295 |
+
"step": 3220
|
| 2296 |
+
},
|
| 2297 |
+
{
|
| 2298 |
+
"epoch": 4.370771312584574,
|
| 2299 |
+
"grad_norm": 2.3533711433410645,
|
| 2300 |
+
"learning_rate": 0.0002,
|
| 2301 |
+
"loss": 0.4494,
|
| 2302 |
+
"step": 3230
|
| 2303 |
+
},
|
| 2304 |
+
{
|
| 2305 |
+
"epoch": 4.384303112313938,
|
| 2306 |
+
"grad_norm": 1.2202765941619873,
|
| 2307 |
+
"learning_rate": 0.0002,
|
| 2308 |
+
"loss": 0.5197,
|
| 2309 |
+
"step": 3240
|
| 2310 |
+
},
|
| 2311 |
+
{
|
| 2312 |
+
"epoch": 4.397834912043302,
|
| 2313 |
+
"grad_norm": 1.5369930267333984,
|
| 2314 |
+
"learning_rate": 0.0002,
|
| 2315 |
+
"loss": 0.5446,
|
| 2316 |
+
"step": 3250
|
| 2317 |
+
},
|
| 2318 |
+
{
|
| 2319 |
+
"epoch": 4.411366711772666,
|
| 2320 |
+
"grad_norm": 1.2333588600158691,
|
| 2321 |
+
"learning_rate": 0.0002,
|
| 2322 |
+
"loss": 0.4825,
|
| 2323 |
+
"step": 3260
|
| 2324 |
+
},
|
| 2325 |
+
{
|
| 2326 |
+
"epoch": 4.42489851150203,
|
| 2327 |
+
"grad_norm": 1.7053014039993286,
|
| 2328 |
+
"learning_rate": 0.0002,
|
| 2329 |
+
"loss": 0.486,
|
| 2330 |
+
"step": 3270
|
| 2331 |
+
},
|
| 2332 |
+
{
|
| 2333 |
+
"epoch": 4.438430311231394,
|
| 2334 |
+
"grad_norm": 1.5808049440383911,
|
| 2335 |
+
"learning_rate": 0.0002,
|
| 2336 |
+
"loss": 0.4026,
|
| 2337 |
+
"step": 3280
|
| 2338 |
+
},
|
| 2339 |
+
{
|
| 2340 |
+
"epoch": 4.451962110960758,
|
| 2341 |
+
"grad_norm": 1.5628689527511597,
|
| 2342 |
+
"learning_rate": 0.0002,
|
| 2343 |
+
"loss": 0.4689,
|
| 2344 |
+
"step": 3290
|
| 2345 |
+
},
|
| 2346 |
+
{
|
| 2347 |
+
"epoch": 4.465493910690122,
|
| 2348 |
+
"grad_norm": 1.531670331954956,
|
| 2349 |
+
"learning_rate": 0.0002,
|
| 2350 |
+
"loss": 0.4748,
|
| 2351 |
+
"step": 3300
|
| 2352 |
+
},
|
| 2353 |
+
{
|
| 2354 |
+
"epoch": 4.479025710419486,
|
| 2355 |
+
"grad_norm": 1.3667949438095093,
|
| 2356 |
+
"learning_rate": 0.0002,
|
| 2357 |
+
"loss": 0.4898,
|
| 2358 |
+
"step": 3310
|
| 2359 |
+
},
|
| 2360 |
+
{
|
| 2361 |
+
"epoch": 4.49255751014885,
|
| 2362 |
+
"grad_norm": 1.4732868671417236,
|
| 2363 |
+
"learning_rate": 0.0002,
|
| 2364 |
+
"loss": 0.4669,
|
| 2365 |
+
"step": 3320
|
| 2366 |
+
},
|
| 2367 |
+
{
|
| 2368 |
+
"epoch": 4.506089309878214,
|
| 2369 |
+
"grad_norm": 1.3093361854553223,
|
| 2370 |
+
"learning_rate": 0.0002,
|
| 2371 |
+
"loss": 0.4876,
|
| 2372 |
+
"step": 3330
|
| 2373 |
+
},
|
| 2374 |
+
{
|
| 2375 |
+
"epoch": 4.519621109607578,
|
| 2376 |
+
"grad_norm": 1.349886178970337,
|
| 2377 |
+
"learning_rate": 0.0002,
|
| 2378 |
+
"loss": 0.4783,
|
| 2379 |
+
"step": 3340
|
| 2380 |
+
},
|
| 2381 |
+
{
|
| 2382 |
+
"epoch": 4.533152909336942,
|
| 2383 |
+
"grad_norm": 1.8089256286621094,
|
| 2384 |
+
"learning_rate": 0.0002,
|
| 2385 |
+
"loss": 0.5042,
|
| 2386 |
+
"step": 3350
|
| 2387 |
+
},
|
| 2388 |
+
{
|
| 2389 |
+
"epoch": 4.546684709066306,
|
| 2390 |
+
"grad_norm": 1.96787691116333,
|
| 2391 |
+
"learning_rate": 0.0002,
|
| 2392 |
+
"loss": 0.4917,
|
| 2393 |
+
"step": 3360
|
| 2394 |
+
},
|
| 2395 |
+
{
|
| 2396 |
+
"epoch": 4.56021650879567,
|
| 2397 |
+
"grad_norm": 1.7355002164840698,
|
| 2398 |
+
"learning_rate": 0.0002,
|
| 2399 |
+
"loss": 0.4525,
|
| 2400 |
+
"step": 3370
|
| 2401 |
+
},
|
| 2402 |
+
{
|
| 2403 |
+
"epoch": 4.573748308525034,
|
| 2404 |
+
"grad_norm": 2.0564498901367188,
|
| 2405 |
+
"learning_rate": 0.0002,
|
| 2406 |
+
"loss": 0.4611,
|
| 2407 |
+
"step": 3380
|
| 2408 |
+
},
|
| 2409 |
+
{
|
| 2410 |
+
"epoch": 4.587280108254398,
|
| 2411 |
+
"grad_norm": 1.9259542226791382,
|
| 2412 |
+
"learning_rate": 0.0002,
|
| 2413 |
+
"loss": 0.4858,
|
| 2414 |
+
"step": 3390
|
| 2415 |
+
},
|
| 2416 |
+
{
|
| 2417 |
+
"epoch": 4.600811907983762,
|
| 2418 |
+
"grad_norm": 1.7264310121536255,
|
| 2419 |
+
"learning_rate": 0.0002,
|
| 2420 |
+
"loss": 0.4652,
|
| 2421 |
+
"step": 3400
|
| 2422 |
+
},
|
| 2423 |
+
{
|
| 2424 |
+
"epoch": 4.614343707713126,
|
| 2425 |
+
"grad_norm": 1.2677029371261597,
|
| 2426 |
+
"learning_rate": 0.0002,
|
| 2427 |
+
"loss": 0.4905,
|
| 2428 |
+
"step": 3410
|
| 2429 |
+
},
|
| 2430 |
+
{
|
| 2431 |
+
"epoch": 4.62787550744249,
|
| 2432 |
+
"grad_norm": 1.4264763593673706,
|
| 2433 |
+
"learning_rate": 0.0002,
|
| 2434 |
+
"loss": 0.4806,
|
| 2435 |
+
"step": 3420
|
| 2436 |
+
},
|
| 2437 |
+
{
|
| 2438 |
+
"epoch": 4.641407307171854,
|
| 2439 |
+
"grad_norm": 1.6065561771392822,
|
| 2440 |
+
"learning_rate": 0.0002,
|
| 2441 |
+
"loss": 0.4323,
|
| 2442 |
+
"step": 3430
|
| 2443 |
+
},
|
| 2444 |
+
{
|
| 2445 |
+
"epoch": 4.654939106901217,
|
| 2446 |
+
"grad_norm": 1.4936598539352417,
|
| 2447 |
+
"learning_rate": 0.0002,
|
| 2448 |
+
"loss": 0.4915,
|
| 2449 |
+
"step": 3440
|
| 2450 |
+
},
|
| 2451 |
+
{
|
| 2452 |
+
"epoch": 4.668470906630581,
|
| 2453 |
+
"grad_norm": 1.4462144374847412,
|
| 2454 |
+
"learning_rate": 0.0002,
|
| 2455 |
+
"loss": 0.5243,
|
| 2456 |
+
"step": 3450
|
| 2457 |
+
},
|
| 2458 |
+
{
|
| 2459 |
+
"epoch": 4.682002706359945,
|
| 2460 |
+
"grad_norm": 1.3262397050857544,
|
| 2461 |
+
"learning_rate": 0.0002,
|
| 2462 |
+
"loss": 0.5087,
|
| 2463 |
+
"step": 3460
|
| 2464 |
+
},
|
| 2465 |
+
{
|
| 2466 |
+
"epoch": 4.6955345060893094,
|
| 2467 |
+
"grad_norm": 1.5079004764556885,
|
| 2468 |
+
"learning_rate": 0.0002,
|
| 2469 |
+
"loss": 0.5273,
|
| 2470 |
+
"step": 3470
|
| 2471 |
+
},
|
| 2472 |
+
{
|
| 2473 |
+
"epoch": 4.7090663058186735,
|
| 2474 |
+
"grad_norm": 1.8043315410614014,
|
| 2475 |
+
"learning_rate": 0.0002,
|
| 2476 |
+
"loss": 0.5132,
|
| 2477 |
+
"step": 3480
|
| 2478 |
+
},
|
| 2479 |
+
{
|
| 2480 |
+
"epoch": 4.7225981055480375,
|
| 2481 |
+
"grad_norm": 1.2165871858596802,
|
| 2482 |
+
"learning_rate": 0.0002,
|
| 2483 |
+
"loss": 0.4798,
|
| 2484 |
+
"step": 3490
|
| 2485 |
+
},
|
| 2486 |
+
{
|
| 2487 |
+
"epoch": 4.7361299052774015,
|
| 2488 |
+
"grad_norm": 1.6533914804458618,
|
| 2489 |
+
"learning_rate": 0.0002,
|
| 2490 |
+
"loss": 0.4715,
|
| 2491 |
+
"step": 3500
|
| 2492 |
+
},
|
| 2493 |
+
{
|
| 2494 |
+
"epoch": 4.7496617050067655,
|
| 2495 |
+
"grad_norm": 1.299289345741272,
|
| 2496 |
+
"learning_rate": 0.0002,
|
| 2497 |
+
"loss": 0.5074,
|
| 2498 |
+
"step": 3510
|
| 2499 |
+
},
|
| 2500 |
+
{
|
| 2501 |
+
"epoch": 4.76319350473613,
|
| 2502 |
+
"grad_norm": 1.6199723482131958,
|
| 2503 |
+
"learning_rate": 0.0002,
|
| 2504 |
+
"loss": 0.4694,
|
| 2505 |
+
"step": 3520
|
| 2506 |
+
},
|
| 2507 |
+
{
|
| 2508 |
+
"epoch": 4.776725304465494,
|
| 2509 |
+
"grad_norm": 1.6506156921386719,
|
| 2510 |
+
"learning_rate": 0.0002,
|
| 2511 |
+
"loss": 0.4804,
|
| 2512 |
+
"step": 3530
|
| 2513 |
+
},
|
| 2514 |
+
{
|
| 2515 |
+
"epoch": 4.790257104194858,
|
| 2516 |
+
"grad_norm": 1.6849974393844604,
|
| 2517 |
+
"learning_rate": 0.0002,
|
| 2518 |
+
"loss": 0.4814,
|
| 2519 |
+
"step": 3540
|
| 2520 |
+
},
|
| 2521 |
+
{
|
| 2522 |
+
"epoch": 4.803788903924222,
|
| 2523 |
+
"grad_norm": 1.4276493787765503,
|
| 2524 |
+
"learning_rate": 0.0002,
|
| 2525 |
+
"loss": 0.4856,
|
| 2526 |
+
"step": 3550
|
| 2527 |
+
},
|
| 2528 |
+
{
|
| 2529 |
+
"epoch": 4.817320703653586,
|
| 2530 |
+
"grad_norm": 1.4023104906082153,
|
| 2531 |
+
"learning_rate": 0.0002,
|
| 2532 |
+
"loss": 0.5246,
|
| 2533 |
+
"step": 3560
|
| 2534 |
+
},
|
| 2535 |
+
{
|
| 2536 |
+
"epoch": 4.83085250338295,
|
| 2537 |
+
"grad_norm": 1.4798460006713867,
|
| 2538 |
+
"learning_rate": 0.0002,
|
| 2539 |
+
"loss": 0.5098,
|
| 2540 |
+
"step": 3570
|
| 2541 |
+
},
|
| 2542 |
+
{
|
| 2543 |
+
"epoch": 4.844384303112314,
|
| 2544 |
+
"grad_norm": 1.3377588987350464,
|
| 2545 |
+
"learning_rate": 0.0002,
|
| 2546 |
+
"loss": 0.5079,
|
| 2547 |
+
"step": 3580
|
| 2548 |
+
},
|
| 2549 |
+
{
|
| 2550 |
+
"epoch": 4.857916102841678,
|
| 2551 |
+
"grad_norm": 1.5201970338821411,
|
| 2552 |
+
"learning_rate": 0.0002,
|
| 2553 |
+
"loss": 0.4986,
|
| 2554 |
+
"step": 3590
|
| 2555 |
+
},
|
| 2556 |
+
{
|
| 2557 |
+
"epoch": 4.871447902571042,
|
| 2558 |
+
"grad_norm": 1.4653739929199219,
|
| 2559 |
+
"learning_rate": 0.0002,
|
| 2560 |
+
"loss": 0.5066,
|
| 2561 |
+
"step": 3600
|
| 2562 |
+
},
|
| 2563 |
+
{
|
| 2564 |
+
"epoch": 4.884979702300406,
|
| 2565 |
+
"grad_norm": 1.411512017250061,
|
| 2566 |
+
"learning_rate": 0.0002,
|
| 2567 |
+
"loss": 0.5035,
|
| 2568 |
+
"step": 3610
|
| 2569 |
+
},
|
| 2570 |
+
{
|
| 2571 |
+
"epoch": 4.89851150202977,
|
| 2572 |
+
"grad_norm": 1.6721467971801758,
|
| 2573 |
+
"learning_rate": 0.0002,
|
| 2574 |
+
"loss": 0.5169,
|
| 2575 |
+
"step": 3620
|
| 2576 |
+
},
|
| 2577 |
+
{
|
| 2578 |
+
"epoch": 4.912043301759134,
|
| 2579 |
+
"grad_norm": 1.4436850547790527,
|
| 2580 |
+
"learning_rate": 0.0002,
|
| 2581 |
+
"loss": 0.518,
|
| 2582 |
+
"step": 3630
|
| 2583 |
+
},
|
| 2584 |
+
{
|
| 2585 |
+
"epoch": 4.925575101488498,
|
| 2586 |
+
"grad_norm": 1.5604814291000366,
|
| 2587 |
+
"learning_rate": 0.0002,
|
| 2588 |
+
"loss": 0.4647,
|
| 2589 |
+
"step": 3640
|
| 2590 |
+
},
|
| 2591 |
+
{
|
| 2592 |
+
"epoch": 4.939106901217862,
|
| 2593 |
+
"grad_norm": 2.3246071338653564,
|
| 2594 |
+
"learning_rate": 0.0002,
|
| 2595 |
+
"loss": 0.5032,
|
| 2596 |
+
"step": 3650
|
| 2597 |
+
},
|
| 2598 |
+
{
|
| 2599 |
+
"epoch": 4.952638700947226,
|
| 2600 |
+
"grad_norm": 1.637837290763855,
|
| 2601 |
+
"learning_rate": 0.0002,
|
| 2602 |
+
"loss": 0.4877,
|
| 2603 |
+
"step": 3660
|
| 2604 |
+
},
|
| 2605 |
+
{
|
| 2606 |
+
"epoch": 4.96617050067659,
|
| 2607 |
+
"grad_norm": 1.6687514781951904,
|
| 2608 |
+
"learning_rate": 0.0002,
|
| 2609 |
+
"loss": 0.4932,
|
| 2610 |
+
"step": 3670
|
| 2611 |
+
},
|
| 2612 |
+
{
|
| 2613 |
+
"epoch": 4.979702300405954,
|
| 2614 |
+
"grad_norm": 1.3703943490982056,
|
| 2615 |
+
"learning_rate": 0.0002,
|
| 2616 |
+
"loss": 0.5254,
|
| 2617 |
+
"step": 3680
|
| 2618 |
+
},
|
| 2619 |
+
{
|
| 2620 |
+
"epoch": 4.993234100135318,
|
| 2621 |
+
"grad_norm": 2.1465952396392822,
|
| 2622 |
+
"learning_rate": 0.0002,
|
| 2623 |
+
"loss": 0.5059,
|
| 2624 |
+
"step": 3690
|
| 2625 |
+
},
|
| 2626 |
+
{
|
| 2627 |
+
"epoch": 5.0,
|
| 2628 |
+
"eval_loss": 1.4866586923599243,
|
| 2629 |
+
"eval_runtime": 46.5706,
|
| 2630 |
+
"eval_samples_per_second": 9.792,
|
| 2631 |
+
"eval_steps_per_second": 1.224,
|
| 2632 |
+
"step": 3695
|
| 2633 |
+
}
|
| 2634 |
+
],
|
| 2635 |
+
"logging_steps": 10,
|
| 2636 |
+
"max_steps": 5912,
|
| 2637 |
+
"num_input_tokens_seen": 0,
|
| 2638 |
+
"num_train_epochs": 8,
|
| 2639 |
+
"save_steps": 200,
|
| 2640 |
+
"stateful_callbacks": {
|
| 2641 |
+
"TrainerControl": {
|
| 2642 |
+
"args": {
|
| 2643 |
+
"should_epoch_stop": false,
|
| 2644 |
+
"should_evaluate": false,
|
| 2645 |
+
"should_log": false,
|
| 2646 |
+
"should_save": true,
|
| 2647 |
+
"should_training_stop": false
|
| 2648 |
+
},
|
| 2649 |
+
"attributes": {}
|
| 2650 |
+
}
|
| 2651 |
+
},
|
| 2652 |
+
"total_flos": 1.62117115183104e+17,
|
| 2653 |
+
"train_batch_size": 1,
|
| 2654 |
+
"trial_name": null,
|
| 2655 |
+
"trial_params": null
|
| 2656 |
+
}
|