End of training
Browse files- README.md +100 -0
- adapter_model.safetensors +1 -1
README.md
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---
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license: apache-2.0
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library_name: peft
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tags:
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- unsloth
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- generated_from_trainer
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base_model: Qwen/Qwen2-7B
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model-index:
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- name: qwen2_Magiccoder_evol_10k_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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# qwen2_Magiccoder_evol_10k_ortho
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This model is a fine-tuned version of [Qwen/Qwen2-7B](https://huggingface.co/Qwen/Qwen2-7B) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8039
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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: 2
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- eval_batch_size: 2
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- seed: 42
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- gradient_accumulation_steps: 32
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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_steps: 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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| 0.8045 | 0.0261 | 4 | 0.8796 |
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| 0.8394 | 0.0522 | 8 | 0.8315 |
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| 0.8027 | 0.0784 | 12 | 0.8188 |
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| 0.7742 | 0.1045 | 16 | 0.8136 |
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| 0.8206 | 0.1306 | 20 | 0.8118 |
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| 0.7117 | 0.1567 | 24 | 0.8110 |
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| 0.7248 | 0.1828 | 28 | 0.8097 |
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| 0.893 | 0.2089 | 32 | 0.8113 |
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| 0.7788 | 0.2351 | 36 | 0.8096 |
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| 0.8043 | 0.2612 | 40 | 0.8098 |
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| 0.8427 | 0.2873 | 44 | 0.8108 |
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| 0.8171 | 0.3134 | 48 | 0.8098 |
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| 0.7509 | 0.3395 | 52 | 0.8103 |
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| 0.7373 | 0.3656 | 56 | 0.8105 |
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| 0.7708 | 0.3918 | 60 | 0.8107 |
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| 0.7942 | 0.4179 | 64 | 0.8109 |
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| 0.8188 | 0.4440 | 68 | 0.8103 |
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| 0.768 | 0.4701 | 72 | 0.8100 |
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| 0.786 | 0.4962 | 76 | 0.8095 |
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| 0.7728 | 0.5223 | 80 | 0.8094 |
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| 0.8575 | 0.5485 | 84 | 0.8091 |
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| 0.7635 | 0.5746 | 88 | 0.8088 |
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| 0.8469 | 0.6007 | 92 | 0.8082 |
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| 0.7647 | 0.6268 | 96 | 0.8078 |
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| 0.8741 | 0.6529 | 100 | 0.8073 |
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| 0.7574 | 0.6790 | 104 | 0.8067 |
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| 0.8048 | 0.7052 | 108 | 0.8061 |
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| 0.7615 | 0.7313 | 112 | 0.8056 |
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| 0.7452 | 0.7574 | 116 | 0.8051 |
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| 0.7191 | 0.7835 | 120 | 0.8049 |
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| 0.7999 | 0.8096 | 124 | 0.8046 |
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| 0.7317 | 0.8357 | 128 | 0.8045 |
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| 0.8619 | 0.8619 | 132 | 0.8044 |
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| 0.8071 | 0.8880 | 136 | 0.8040 |
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| 0.8034 | 0.9141 | 140 | 0.8040 |
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| 0.7892 | 0.9402 | 144 | 0.8040 |
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| 0.8291 | 0.9663 | 148 | 0.8040 |
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| 0.7938 | 0.9925 | 152 | 0.8039 |
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### Framework versions
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- PEFT 0.7.1
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- Transformers 4.40.2
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.1
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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 80792096
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version https://git-lfs.github.com/spec/v1
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oid sha256:4ec271c5eafb0c0248ffb282b3996bd2f2be0944fbc96b520407f5796aedf7c4
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size 80792096
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