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: TinyLlama/TinyLlama_v1.1
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library_name: peft
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license: apache-2.0
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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: tinyllama_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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# tinyllama_magiccoder_ortho
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This model is a fine-tuned version of [TinyLlama/TinyLlama_v1.1](https://huggingface.co/TinyLlama/TinyLlama_v1.1) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.4401
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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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| 1.8608 | 0.0262 | 4 | 1.8810 |
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| 1.7875 | 0.0523 | 8 | 1.6839 |
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| 1.6211 | 0.0785 | 12 | 1.6379 |
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| 1.5275 | 0.1047 | 16 | 1.5652 |
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| 1.5674 | 0.1308 | 20 | 1.5608 |
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| 1.4798 | 0.1570 | 24 | 1.5422 |
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| 1.484 | 0.1832 | 28 | 1.5231 |
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| 1.524 | 0.2093 | 32 | 1.5137 |
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| 1.4406 | 0.2355 | 36 | 1.5169 |
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| 1.5328 | 0.2617 | 40 | 1.5073 |
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| 1.5037 | 0.2878 | 44 | 1.4938 |
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| 1.5445 | 0.3140 | 48 | 1.4939 |
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| 1.5157 | 0.3401 | 52 | 1.4924 |
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| 1.4724 | 0.3663 | 56 | 1.4748 |
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| 1.5457 | 0.3925 | 60 | 1.4869 |
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| 1.5126 | 0.4186 | 64 | 1.4744 |
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| 1.4564 | 0.4448 | 68 | 1.4726 |
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| 1.4628 | 0.4710 | 72 | 1.4695 |
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| 1.4244 | 0.4971 | 76 | 1.4711 |
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| 1.5274 | 0.5233 | 80 | 1.4654 |
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| 1.5459 | 0.5495 | 84 | 1.4615 |
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| 1.4562 | 0.5756 | 88 | 1.4600 |
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| 1.3771 | 0.6018 | 92 | 1.4578 |
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| 1.3837 | 0.6280 | 96 | 1.4537 |
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| 1.46 | 0.6541 | 100 | 1.4546 |
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| 1.4711 | 0.6803 | 104 | 1.4554 |
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| 1.4257 | 0.7065 | 108 | 1.4455 |
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| 1.4661 | 0.7326 | 112 | 1.4473 |
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| 1.4269 | 0.7588 | 116 | 1.4469 |
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| 1.4269 | 0.7850 | 120 | 1.4433 |
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| 1.4514 | 0.8111 | 124 | 1.4461 |
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| 1.4349 | 0.8373 | 128 | 1.4458 |
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| 1.3174 | 0.8635 | 132 | 1.4409 |
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| 1.4861 | 0.8896 | 136 | 1.4399 |
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| 1.3536 | 0.9158 | 140 | 1.4408 |
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| 1.408 | 0.9419 | 144 | 1.4404 |
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| 1.4435 | 0.9681 | 148 | 1.4401 |
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| 1.4317 | 0.9943 | 152 | 1.4401 |
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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 25271744
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version https://git-lfs.github.com/spec/v1
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oid sha256:8b7de56dc14ccb88b6c19bc05ce93198c13df5c29965a7be60e50e0b5bdb07af
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size 25271744
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