Commit
•
7855162
1
Parent(s):
fe93006
Model save
Browse files- README.md +80 -0
- adapter_model.safetensors +1 -1
- all_results.json +9 -0
- train_results.json +9 -0
- trainer_state.json +662 -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_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_180-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 the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.4523
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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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| 2.375 | 0.9412 | 8 | 2.2872 |
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| 1.9761 | 2.0 | 17 | 1.8512 |
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| 1.5652 | 2.9412 | 25 | 1.3759 |
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| 1.0274 | 4.0 | 34 | 1.0474 |
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| 0.9811 | 4.9412 | 42 | 0.9874 |
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| 0.9464 | 6.0 | 51 | 0.9454 |
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| 0.8491 | 6.9412 | 59 | 0.9103 |
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| 0.8043 | 8.0 | 68 | 0.8866 |
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| 0.7279 | 8.9412 | 76 | 0.8726 |
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| 0.6704 | 10.0 | 85 | 0.8894 |
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| 0.6154 | 10.9412 | 93 | 0.9156 |
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| 0.4469 | 12.0 | 102 | 0.9677 |
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| 0.3873 | 12.9412 | 110 | 1.0959 |
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| 0.3086 | 14.0 | 119 | 1.2353 |
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| 0.1952 | 14.9412 | 127 | 1.3687 |
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| 0.1665 | 16.0 | 136 | 1.4523 |
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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 sha256:551dd62c684fd60419d79d2ab0173d7c9a061c4fd4488f0bb82ceb2059b54684
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size 167832240
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all_results.json
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{
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"epoch": 16.0,
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"total_flos": 3.4636862551228416e+16,
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"train_loss": 0.9021811117144192,
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"train_runtime": 2564.085,
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"train_samples": 136,
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"train_samples_per_second": 2.652,
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"train_steps_per_second": 0.156
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}
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train_results.json
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{
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"epoch": 16.0,
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"total_flos": 3.4636862551228416e+16,
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"train_loss": 0.9021811117144192,
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"train_runtime": 2564.085,
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"train_samples": 136,
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"train_samples_per_second": 2.652,
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"train_steps_per_second": 0.156
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}
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trainer_state.json
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