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--- |
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license: other |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: EnabledChat-v2-lora |
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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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# EnabledChat-v2-lora |
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This model is a fine-tuned version of [0x70DA/EnabledChat](https://huggingface.co/0x70DA/EnabledChat) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.2828 |
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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: 0.0002 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 100 |
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- num_epochs: 2 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.3247 | 0.07 | 200 | 1.3711 | |
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| 1.4053 | 0.14 | 400 | 1.3470 | |
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| 1.3431 | 0.21 | 600 | 1.3355 | |
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| 1.4012 | 0.27 | 800 | 1.3278 | |
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| 1.3189 | 0.34 | 1000 | 1.3235 | |
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| 1.3581 | 0.41 | 1200 | 1.3181 | |
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| 1.3417 | 0.48 | 1400 | 1.3138 | |
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| 1.3111 | 0.55 | 1600 | 1.3110 | |
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| 1.3547 | 0.62 | 1800 | 1.3068 | |
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| 1.3725 | 0.68 | 2000 | 1.3058 | |
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| 1.3574 | 0.75 | 2200 | 1.3028 | |
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| 1.3773 | 0.82 | 2400 | 1.2999 | |
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| 1.2944 | 0.89 | 2600 | 1.2979 | |
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| 1.2433 | 0.96 | 2800 | 1.2962 | |
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| 1.2349 | 1.03 | 3000 | 1.2952 | |
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| 1.3126 | 1.1 | 3200 | 1.2934 | |
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| 1.284 | 1.16 | 3400 | 1.2925 | |
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| 1.2194 | 1.23 | 3600 | 1.2912 | |
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| 1.2885 | 1.3 | 3800 | 1.2902 | |
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| 1.2159 | 1.37 | 4000 | 1.2888 | |
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| 1.2832 | 1.44 | 4200 | 1.2881 | |
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| 1.2233 | 1.51 | 4400 | 1.2868 | |
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| 1.2565 | 1.57 | 4600 | 1.2857 | |
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| 1.2618 | 1.64 | 4800 | 1.2855 | |
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| 1.3954 | 1.71 | 5000 | 1.2846 | |
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| 1.3082 | 1.78 | 5200 | 1.2840 | |
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| 1.3149 | 1.85 | 5400 | 1.2834 | |
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| 1.2558 | 1.92 | 5600 | 1.2830 | |
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| 1.2299 | 1.98 | 5800 | 1.2828 | |
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### Framework versions |
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- Transformers 4.29.2 |
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- Pytorch 2.0.0 |
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- Datasets 2.11.0 |
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- Tokenizers 0.13.3 |
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