Model save
Browse files- README.md +61 -0
- all_results.json +9 -0
- train_results.json +9 -0
- trainer_state.json +490 -0
README.md
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+
---
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+
library_name: peft
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license: mit
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base_model: deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
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tags:
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- trl
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- sft
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- generated_from_trainer
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model-index:
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- name: models-ttt-problem-10-replicate-2-step1
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# models-ttt-problem-10-replicate-2-step1
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This model is a fine-tuned version of [deepseek-ai/DeepSeek-R1-Distill-Qwen-32B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-32B) on an unknown dataset.
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 1
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- eval_batch_size: 1
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 8
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- total_train_batch_size: 8
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- total_eval_batch_size: 8
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 2
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### Training results
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### Framework versions
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- PEFT 0.13.2
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- Transformers 4.47.0.dev0
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- Pytorch 2.4.0+cu121
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- Datasets 3.1.0
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- Tokenizers 0.20.3
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all_results.json
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{
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"epoch": 2.0,
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"total_flos": 570726028935168.0,
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"train_loss": 0.11890232225414366,
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"train_runtime": 1057.719,
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"train_samples": 250,
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"train_samples_per_second": 0.473,
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"train_steps_per_second": 0.061
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}
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train_results.json
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{
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"epoch": 2.0,
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"total_flos": 570726028935168.0,
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"train_loss": 0.11890232225414366,
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"train_runtime": 1057.719,
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"train_samples": 250,
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"train_samples_per_second": 0.473,
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"train_steps_per_second": 0.061
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}
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trainer_state.json
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| 1 |
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{
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| 2 |
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"best_metric": null,
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| 3 |
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"best_model_checkpoint": null,
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| 4 |
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"epoch": 2.0,
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| 5 |
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"eval_steps": 500,
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| 6 |
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"global_step": 64,
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| 7 |
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"is_hyper_param_search": false,
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| 8 |
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"is_local_process_zero": true,
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| 9 |
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"is_world_process_zero": true,
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| 10 |
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"log_history": [
|
| 11 |
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{
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| 12 |
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"loss": 0.1826,
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"step": 1
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| 17 |
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},
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| 18 |
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{
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"epoch": 0.0625,
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},
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{
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"loss": 0.1922,
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"step": 3
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},
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{
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"epoch": 0.125,
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"loss": 0.1826,
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"step": 4
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},
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| 39 |
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{
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"epoch": 0.15625,
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| 41 |
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"grad_norm": 0.04289781626308719,
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"learning_rate": 3.571428571428572e-05,
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"step": 5
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{
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"epoch": 0.1875,
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"loss": 0.1792,
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"step": 6
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| 52 |
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},
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{
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"epoch": 0.21875,
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"grad_norm": 0.04917933368077925,
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"learning_rate": 5e-05,
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"loss": 0.1785,
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"step": 7
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| 59 |
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},
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| 60 |
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{
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| 61 |
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"epoch": 0.25,
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