Commit
•
bb3fe5c
1
Parent(s):
d484c80
Model save
Browse files- README.md +86 -0
- adapter_model.safetensors +1 -1
- all_results.json +9 -0
- train_results.json +9 -0
- trainer_state.json +451 -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-2_full
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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-2_full
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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: 0.9806
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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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| 2.5391 | 0.6957 | 2 | 2.3916 |
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| 2.4703 | 1.7391 | 5 | 2.2074 |
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| 2.1328 | 2.7826 | 8 | 1.9537 |
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| 1.9709 | 3.8261 | 11 | 1.6769 |
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| 1.5704 | 4.8696 | 14 | 1.3962 |
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| 1.3765 | 5.9130 | 17 | 1.1358 |
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| 1.0594 | 6.9565 | 20 | 1.0275 |
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| 0.9969 | 8.0 | 23 | 0.9877 |
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| 0.9485 | 8.6957 | 25 | 0.9700 |
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| 0.8932 | 9.7391 | 28 | 0.9503 |
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| 0.8815 | 10.7826 | 31 | 0.9331 |
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| 0.8229 | 11.8261 | 34 | 0.9216 |
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| 0.8136 | 12.8696 | 37 | 0.9111 |
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| 0.7507 | 13.9130 | 40 | 0.9021 |
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| 0.7373 | 14.9565 | 43 | 0.8982 |
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| 0.6959 | 16.0 | 46 | 0.9020 |
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| 0.6651 | 16.6957 | 48 | 0.9060 |
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| 0.6589 | 17.7391 | 51 | 0.9119 |
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| 0.5782 | 18.7826 | 54 | 0.9264 |
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| 0.585 | 19.8261 | 57 | 0.9372 |
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| 0.511 | 20.8696 | 60 | 0.9604 |
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| 0.4767 | 21.9130 | 63 | 0.9806 |
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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 sha256:8141e12f0523a36ea5f1bbe01e7d822b703ce3b2e9ea68ab11d61a3a32d5a560
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size 167832240
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all_results.json
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{
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"epoch": 21.91304347826087,
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"total_flos": 1.5148012584042496e+16,
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"train_loss": 1.081045771402026,
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"train_runtime": 1186.9402,
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"train_samples": 46,
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"train_samples_per_second": 1.938,
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"train_steps_per_second": 0.084
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}
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train_results.json
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{
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"epoch": 21.91304347826087,
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"total_flos": 1.5148012584042496e+16,
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"train_loss": 1.081045771402026,
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"train_runtime": 1186.9402,
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"train_samples": 46,
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"train_samples_per_second": 1.938,
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"train_steps_per_second": 0.084
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}
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trainer_state.json
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|
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{
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| 2 |
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"best_metric": 0.8982431888580322,
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| 3 |
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"best_model_checkpoint": "data/Llama-31-8B_task-1_60-samples_config-2_full/checkpoint-43",
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| 4 |
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"epoch": 21.91304347826087,
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| 5 |
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"eval_steps": 500,
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| 6 |
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"global_step": 63,
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| 7 |
+
"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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| 12 |
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"epoch": 0.34782608695652173,
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| 13 |
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"grad_norm": 2.058223247528076,
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| 14 |
+
"learning_rate": 1e-05,
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| 15 |
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"loss": 2.5057,
|
| 16 |
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"step": 1
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