Commit
•
8a14236
1
Parent(s):
6c4366e
Model save
Browse files- README.md +88 -0
- adapter_model.safetensors +1 -1
- all_results.json +9 -0
- train_results.json +9 -0
- trainer_state.json +488 -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-3_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-3_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: 1.1808
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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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| 1.6831 | 0.6957 | 2 | 1.6900 |
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| 1.6856 | 1.7391 | 5 | 1.6448 |
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| 1.6065 | 2.7826 | 8 | 1.5643 |
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| 1.5184 | 3.8261 | 11 | 1.4830 |
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| 1.4227 | 4.8696 | 14 | 1.4134 |
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| 1.3635 | 5.9130 | 17 | 1.3473 |
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| 1.2487 | 6.9565 | 20 | 1.2794 |
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| 1.2196 | 8.0 | 23 | 1.2358 |
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| 1.1686 | 8.6957 | 25 | 1.2184 |
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| 1.1271 | 9.7391 | 28 | 1.2041 |
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| 1.1329 | 10.7826 | 31 | 1.1925 |
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| 1.1049 | 11.8261 | 34 | 1.1838 |
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| 1.067 | 12.8696 | 37 | 1.1764 |
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| 1.0693 | 13.9130 | 40 | 1.1707 |
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| 1.039 | 14.9565 | 43 | 1.1672 |
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| 1.0381 | 16.0 | 46 | 1.1651 |
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| 0.994 | 16.6957 | 48 | 1.1641 |
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| 1.0091 | 17.7391 | 51 | 1.1648 |
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| 0.996 | 18.7826 | 54 | 1.1667 |
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| 0.969 | 19.8261 | 57 | 1.1695 |
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| 0.9577 | 20.8696 | 60 | 1.1710 |
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| 0.9489 | 21.9130 | 63 | 1.1720 |
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| 0.9253 | 22.9565 | 66 | 1.1765 |
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| 0.9133 | 24.0 | 69 | 1.1808 |
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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 sha256:93175dde7c5d9ccce1801b429bf75fb759cfa37a002d77a4404e97313f3c42a9
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size 167832240
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all_results.json
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{
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"epoch": 24.0,
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"total_flos": 8.747351023812608e+16,
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"train_loss": 1.1726603568464085,
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"train_runtime": 3235.2716,
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"train_samples": 46,
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"train_samples_per_second": 0.711,
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"train_steps_per_second": 0.031
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}
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train_results.json
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{
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"epoch": 24.0,
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"total_flos": 8.747351023812608e+16,
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"train_loss": 1.1726603568464085,
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"train_runtime": 3235.2716,
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"train_samples": 46,
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"train_samples_per_second": 0.711,
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"train_steps_per_second": 0.031
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}
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trainer_state.json
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