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_default
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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_default
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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: 1.2364
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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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| 1.3123 | 0.0259 | 4 | 1.4459 |
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| 1.3773 | 0.0518 | 8 | 1.3830 |
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| 1.3126 | 0.0777 | 12 | 1.3384 |
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| 1.3342 | 0.1036 | 16 | 1.3304 |
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| 1.3395 | 0.1296 | 20 | 1.3152 |
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| 1.238 | 0.1555 | 24 | 1.3039 |
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| 1.2922 | 0.1814 | 28 | 1.2958 |
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| 1.2613 | 0.2073 | 32 | 1.2857 |
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| 1.2744 | 0.2332 | 36 | 1.2727 |
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| 1.3175 | 0.2591 | 40 | 1.2619 |
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| 1.2728 | 0.2850 | 44 | 1.2570 |
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| 1.1929 | 0.3109 | 48 | 1.2556 |
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| 1.2508 | 0.3368 | 52 | 1.2539 |
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| 1.29 | 0.3628 | 56 | 1.2504 |
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| 1.2648 | 0.3887 | 60 | 1.2506 |
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| 1.3289 | 0.4146 | 64 | 1.2486 |
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| 1.1775 | 0.4405 | 68 | 1.2479 |
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| 1.2501 | 0.4664 | 72 | 1.2447 |
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| 1.192 | 0.4923 | 76 | 1.2443 |
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| 1.2792 | 0.5182 | 80 | 1.2432 |
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| 1.205 | 0.5441 | 84 | 1.2402 |
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| 1.2449 | 0.5700 | 88 | 1.2405 |
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| 1.3454 | 0.5960 | 92 | 1.2390 |
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| 1.1549 | 0.6219 | 96 | 1.2390 |
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| 1.2483 | 0.6478 | 100 | 1.2395 |
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| 1.1643 | 0.6737 | 104 | 1.2395 |
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| 1.1872 | 0.6996 | 108 | 1.2393 |
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| 1.1994 | 0.7255 | 112 | 1.2391 |
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| 1.2578 | 0.7514 | 116 | 1.2388 |
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| 1.2391 | 0.7773 | 120 | 1.2382 |
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| 1.2605 | 0.8032 | 124 | 1.2376 |
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| 1.2528 | 0.8291 | 128 | 1.2371 |
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| 1.2524 | 0.8551 | 132 | 1.2367 |
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| 1.2054 | 0.8810 | 136 | 1.2365 |
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| 1.2068 | 0.9069 | 140 | 1.2366 |
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| 1.1916 | 0.9328 | 144 | 1.2365 |
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| 1.2172 | 0.9587 | 148 | 1.2364 |
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| 1.1899 | 0.9846 | 152 | 1.2364 |
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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 sha256:23a6a89228df89c0c8f77debd1a25518eb998083c936bd12c8d57c3a05a01d57
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size 83945296
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