End of training
Browse files- README.md +100 -0
- adapter_model.safetensors +1 -1
README.md
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---
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base_model: unsloth/llama-3-8b
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library_name: peft
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license: llama3
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tags:
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- unsloth
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- generated_from_trainer
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model-index:
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- name: Meta-Llama-3-8B_magiccoder_reverse
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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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# Meta-Llama-3-8B_magiccoder_reverse
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This model is a fine-tuned version of [unsloth/llama-3-8b](https://huggingface.co/unsloth/llama-3-8b) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.2663
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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: 0.0003
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 64
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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: 0.02
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- num_epochs: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 1.2593 | 0.0259 | 4 | 1.4180 |
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| 1.4127 | 0.0518 | 8 | 1.3958 |
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| 1.3964 | 0.0777 | 12 | 1.3814 |
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| 1.3824 | 0.1036 | 16 | 1.3679 |
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| 1.4044 | 0.1296 | 20 | 1.3733 |
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| 1.3092 | 0.1555 | 24 | 1.3639 |
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| 1.3823 | 0.1814 | 28 | 1.4075 |
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| 1.3878 | 0.2073 | 32 | 1.3768 |
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| 1.3653 | 0.2332 | 36 | 1.3592 |
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| 1.4395 | 0.2591 | 40 | 1.3594 |
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| 1.3805 | 0.2850 | 44 | 1.3444 |
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| 1.2631 | 0.3109 | 48 | 1.3354 |
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| 1.3346 | 0.3368 | 52 | 1.3409 |
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| 1.3776 | 0.3628 | 56 | 1.3367 |
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| 1.3407 | 0.3887 | 60 | 1.3291 |
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| 1.3939 | 0.4146 | 64 | 1.3307 |
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| 1.2555 | 0.4405 | 68 | 1.3257 |
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| 1.3227 | 0.4664 | 72 | 1.3216 |
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| 1.2664 | 0.4923 | 76 | 1.3238 |
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| 1.3542 | 0.5182 | 80 | 1.3157 |
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| 1.2873 | 0.5441 | 84 | 1.3167 |
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| 1.3065 | 0.5700 | 88 | 1.3109 |
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| 1.4021 | 0.5960 | 92 | 1.3056 |
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| 1.2277 | 0.6219 | 96 | 1.3021 |
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| 1.3014 | 0.6478 | 100 | 1.3000 |
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| 1.2138 | 0.6737 | 104 | 1.2911 |
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| 1.2367 | 0.6996 | 108 | 1.2903 |
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| 1.2501 | 0.7255 | 112 | 1.2844 |
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| 1.2942 | 0.7514 | 116 | 1.2819 |
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| 1.2762 | 0.7773 | 120 | 1.2780 |
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| 1.2871 | 0.8032 | 124 | 1.2753 |
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| 1.2829 | 0.8291 | 128 | 1.2724 |
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| 1.272 | 0.8551 | 132 | 1.2695 |
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| 1.2242 | 0.8810 | 136 | 1.2685 |
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| 1.253 | 0.9069 | 140 | 1.2678 |
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| 1.2116 | 0.9328 | 144 | 1.2671 |
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| 1.2356 | 0.9587 | 148 | 1.2666 |
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| 1.2087 | 0.9846 | 152 | 1.2663 |
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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 2.4.0+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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adapter_model.safetensors
CHANGED
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 83945296
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version https://git-lfs.github.com/spec/v1
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oid sha256:9217ccf2b524a49136ccffe1eb06631bd74cdc06eac3624f119364d47791fa9c
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size 83945296
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