Model save
Browse files- README.md +84 -0
- adapter_model.safetensors +1 -1
- all_results.json +9 -0
- train_results.json +9 -0
- trainer_state.json +603 -0
README.md
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| 1 |
+
---
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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-2_120-samples_config-2_full_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-2_120-samples_config-2_full_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: 1.1334
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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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| 1.5395 | 0.9091 | 5 | 1.5119 |
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| 1.4907 | 2.0 | 11 | 1.4172 |
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| 1.3412 | 2.9091 | 16 | 1.3288 |
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| 1.2282 | 4.0 | 22 | 1.2153 |
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| 1.1141 | 4.9091 | 27 | 1.1136 |
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| 1.0131 | 6.0 | 33 | 1.0540 |
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| 1.0044 | 6.9091 | 38 | 1.0380 |
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| 0.9748 | 8.0 | 44 | 1.0223 |
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| 0.937 | 8.9091 | 49 | 1.0142 |
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| 0.9481 | 10.0 | 55 | 1.0053 |
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| 0.9023 | 10.9091 | 60 | 1.0011 |
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| 0.8716 | 12.0 | 66 | 0.9987 |
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| 0.849 | 12.9091 | 71 | 0.9982 |
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| 0.836 | 14.0 | 77 | 1.0032 |
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| 0.7365 | 14.9091 | 82 | 1.0176 |
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| 0.7495 | 16.0 | 88 | 1.0259 |
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| 0.6882 | 16.9091 | 93 | 1.0410 |
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| 0.6301 | 18.0 | 99 | 1.0708 |
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| 0.6114 | 18.9091 | 104 | 1.1067 |
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| 0.591 | 20.0 | 110 | 1.1334 |
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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 sha256:525a1f10879d92294dc1553d515ac0e7e8029e39359b6809905e3c54bd4d620d
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size 167832240
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all_results.json
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{
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"epoch": 20.0,
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"total_flos": 1.7419861205660467e+17,
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"train_loss": 0.9589717778292569,
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"train_runtime": 6212.9293,
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"train_samples": 88,
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"train_samples_per_second": 0.708,
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"train_steps_per_second": 0.04
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}
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train_results.json
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{
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"epoch": 20.0,
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"total_flos": 1.7419861205660467e+17,
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"train_loss": 0.9589717778292569,
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"train_runtime": 6212.9293,
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"train_samples": 88,
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"train_samples_per_second": 0.708,
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"train_steps_per_second": 0.04
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}
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trainer_state.json
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