Commit
•
585be15
1
Parent(s):
f8a31d6
Model save
Browse files- README.md +76 -0
- adapter_model.safetensors +1 -1
- all_results.json +9 -0
- train_results.json +9 -0
- trainer_state.json +511 -0
README.md
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---
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base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
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library_name: peft
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license: llama3.1
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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: Llama-31-8B_task-1_180-samples_config-2_auto
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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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# Llama-31-8B_task-1_180-samples_config-2_auto
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.5482
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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: 0.0001
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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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- gradient_accumulation_steps: 16
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- total_train_batch_size: 16
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 50
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-------:|:----:|:---------------:|
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| 1.178 | 0.9412 | 8 | 1.1844 |
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| 0.9678 | 2.0 | 17 | 1.0291 |
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| 0.9547 | 2.9412 | 25 | 0.9495 |
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| 0.8037 | 4.0 | 34 | 0.8970 |
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| 0.7404 | 4.9412 | 42 | 0.8755 |
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| 0.6681 | 6.0 | 51 | 0.9058 |
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| 0.4752 | 6.9412 | 59 | 0.9785 |
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| 0.3663 | 8.0 | 68 | 1.0201 |
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| 0.2328 | 8.9412 | 76 | 1.2509 |
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| 0.1375 | 10.0 | 85 | 1.4120 |
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| 0.1013 | 10.9412 | 93 | 1.4669 |
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| 0.0523 | 12.0 | 102 | 1.5482 |
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### Framework versions
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- PEFT 0.12.0
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- Transformers 4.44.0
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- Pytorch 2.1.2+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 167832240
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version https://git-lfs.github.com/spec/v1
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oid sha256:f142562eb5953466bd39fb5b5f5e29987f6f7b121a78c4d057b1d6b10a9fc55f
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size 167832240
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all_results.json
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{
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"epoch": 12.0,
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"total_flos": 2.769253681017651e+16,
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"train_loss": 0.5588808070649119,
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"train_runtime": 1964.6597,
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"train_samples": 136,
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"train_samples_per_second": 3.461,
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"train_steps_per_second": 0.204
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}
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train_results.json
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{
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"epoch": 12.0,
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"total_flos": 2.769253681017651e+16,
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"train_loss": 0.5588808070649119,
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"train_runtime": 1964.6597,
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"train_samples": 136,
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"train_samples_per_second": 3.461,
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"train_steps_per_second": 0.204
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}
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trainer_state.json
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{
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| 2 |
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"best_metric": 0.875532865524292,
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| 3 |
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"best_model_checkpoint": "data/Llama-31-8B_task-1_180-samples_config-2_auto/checkpoint-42",
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| 4 |
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"epoch": 12.0,
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| 5 |
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"eval_steps": 500,
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| 6 |
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"global_step": 102,
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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": [
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| 11 |
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{
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