Commit
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Parent(s):
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End of training
Browse files- README.md +76 -0
- generation_config.json +9 -0
README.md
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---
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license: mit
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base_model: mikhail-panzo/zlm_b64_le4_s12000
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tags:
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- generated_from_trainer
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model-index:
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- name: zlm-fil_b64_le5_s8000
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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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# zlm-fil_b64_le5_s8000
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This model is a fine-tuned version of [mikhail-panzo/zlm_b64_le4_s12000](https://huggingface.co/mikhail-panzo/zlm_b64_le4_s12000) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4118
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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: 1e-05
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- train_batch_size: 32
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 2
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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: linear
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- lr_scheduler_warmup_steps: 2000
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- training_steps: 8000
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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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| 0.5529 | 22.2222 | 500 | 0.5000 |
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| 0.4974 | 44.4444 | 1000 | 0.4557 |
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| 0.4716 | 66.6667 | 1500 | 0.4359 |
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| 0.453 | 88.8889 | 2000 | 0.4246 |
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| 0.4428 | 111.1111 | 2500 | 0.4196 |
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| 0.4332 | 133.3333 | 3000 | 0.4171 |
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| 0.4246 | 155.5556 | 3500 | 0.4154 |
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| 0.4202 | 177.7778 | 4000 | 0.4133 |
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| 0.4223 | 200.0 | 4500 | 0.4145 |
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| 0.4127 | 222.2222 | 5000 | 0.4118 |
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| 0.418 | 244.4444 | 5500 | 0.4130 |
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| 0.4137 | 266.6667 | 6000 | 0.4130 |
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| 0.4105 | 288.8889 | 6500 | 0.4127 |
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| 0.4164 | 311.1111 | 7000 | 0.4127 |
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| 0.4088 | 333.3333 | 7500 | 0.4120 |
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| 0.4028 | 355.5556 | 8000 | 0.4118 |
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### Framework versions
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- Transformers 4.41.0.dev0
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- Pytorch 2.2.1+cu121
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- Datasets 2.19.0
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- Tokenizers 0.19.1
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 0,
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"decoder_start_token_id": 2,
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"eos_token_id": 2,
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"max_length": 1876,
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"pad_token_id": 1,
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"transformers_version": "4.41.0.dev0"
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}
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