Commit
•
f0dca5b
1
Parent(s):
d60f7b2
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 +392 -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_60-samples_config-1
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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_60-samples_config-1
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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 an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.7460
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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: 8
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- total_train_batch_size: 8
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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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| 2.1529 | 0.8696 | 5 | 2.0041 |
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| 1.7276 | 1.9130 | 11 | 1.6163 |
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| 1.5018 | 2.9565 | 17 | 1.4631 |
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| 1.3727 | 4.0 | 23 | 1.3338 |
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| 1.0912 | 4.8696 | 28 | 1.2853 |
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| 0.8709 | 5.9130 | 34 | 1.2905 |
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| 0.713 | 6.9565 | 40 | 1.4713 |
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| 0.4007 | 8.0 | 46 | 1.6719 |
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| 0.2182 | 8.8696 | 51 | 2.0390 |
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| 0.0802 | 9.9130 | 57 | 2.5003 |
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| 0.0304 | 10.9565 | 63 | 2.7328 |
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| 0.0155 | 12.0 | 69 | 2.7460 |
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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 sha256:47e20718651ee7c17c9653c22c3fe88b77bc9e845a90cb50a94b64296844e60c
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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": 8262552305795072.0,
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"train_loss": 0.8597148116678,
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"train_runtime": 650.8523,
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"train_samples": 46,
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"train_samples_per_second": 3.534,
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"train_steps_per_second": 0.384
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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": 8262552305795072.0,
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"train_loss": 0.8597148116678,
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"train_runtime": 650.8523,
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"train_samples": 46,
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"train_samples_per_second": 3.534,
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"train_steps_per_second": 0.384
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}
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trainer_state.json
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{
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"best_metric": 1.2853014469146729,
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"best_model_checkpoint": "data/Llama-31-8B_task-1_60-samples_config-1/checkpoint-28",
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"epoch": 12.0,
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"eval_steps": 500,
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"global_step": 69,
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"log_history": [
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{
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{
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"epoch": 0.8695652173913043,
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"eval_runtime": 4.8643,
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"eval_samples_per_second": 2.467,
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"step": 5
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{
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"learning_rate": 2.4e-05,
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"loss": 2.0483,
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{
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{
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},
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{
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| 62 |
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