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-bnb-4bit
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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_ortho
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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_ortho
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This model is a fine-tuned version of [unsloth/llama-3-8b-bnb-4bit](https://huggingface.co/unsloth/llama-3-8b-bnb-4bit) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.2979
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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: 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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| 1.3729 | 0.0259 | 4 | 1.4553 |
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| 1.4282 | 0.0518 | 8 | 1.4025 |
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| 1.3582 | 0.0777 | 12 | 1.3661 |
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| 1.3765 | 0.1036 | 16 | 1.3732 |
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| 1.412 | 0.1296 | 20 | 1.3709 |
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| 1.3139 | 0.1555 | 24 | 1.3703 |
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| 1.3527 | 0.1814 | 28 | 1.3569 |
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| 1.3366 | 0.2073 | 32 | 1.3696 |
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| 1.3585 | 0.2332 | 36 | 1.3574 |
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| 1.4341 | 0.2591 | 40 | 1.3561 |
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| 1.3608 | 0.2850 | 44 | 1.3471 |
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| 1.2669 | 0.3109 | 48 | 1.3583 |
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| 1.3432 | 0.3368 | 52 | 1.3500 |
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| 1.3825 | 0.3628 | 56 | 1.3465 |
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| 1.3424 | 0.3887 | 60 | 1.3365 |
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| 1.3974 | 0.4146 | 64 | 1.3424 |
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| 1.2641 | 0.4405 | 68 | 1.3373 |
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| 1.3123 | 0.4664 | 72 | 1.3308 |
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| 1.2767 | 0.4923 | 76 | 1.3429 |
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| 1.3543 | 0.5182 | 80 | 1.3270 |
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| 1.3019 | 0.5441 | 84 | 1.3380 |
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| 1.3383 | 0.5700 | 88 | 1.3378 |
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| 1.4165 | 0.5960 | 92 | 1.3250 |
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| 1.2437 | 0.6219 | 96 | 1.3246 |
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| 1.32 | 0.6478 | 100 | 1.3234 |
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| 1.2362 | 0.6737 | 104 | 1.3309 |
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| 1.2529 | 0.6996 | 108 | 1.3166 |
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| 1.2605 | 0.7255 | 112 | 1.3099 |
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| 1.3089 | 0.7514 | 116 | 1.3075 |
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| 1.2937 | 0.7773 | 120 | 1.3063 |
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| 1.3127 | 0.8032 | 124 | 1.3017 |
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| 1.308 | 0.8291 | 128 | 1.3033 |
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| 1.2962 | 0.8551 | 132 | 1.3026 |
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| 1.2542 | 0.8810 | 136 | 1.3004 |
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| 1.2808 | 0.9069 | 140 | 1.2992 |
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| 1.242 | 0.9328 | 144 | 1.2967 |
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| 1.265 | 0.9587 | 148 | 1.2990 |
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| 1.2364 | 0.9846 | 152 | 1.2979 |
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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 sha256:9f34ff1cc5825f37906eb38080fd30f61e53e05b91cae182e78dee6b688c04b5
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size 83945296
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