Model save
Browse files- README.md +60 -0
- generation_config.json +14 -0
README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: sail/Sailor-0.5B-Chat
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tags:
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- generated_from_trainer
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model-index:
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- name: filmailor-0.5B-Chat
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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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# filmailor-0.5B-Chat
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This model is a fine-tuned version of [sail/Sailor-0.5B-Chat](https://huggingface.co/sail/Sailor-0.5B-Chat) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2146
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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: 2e-05
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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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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 0.2179 | 1.0 | 3749 | 0.2205 |
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| 0.1917 | 2.0 | 7498 | 0.2149 |
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| 0.2006 | 3.0 | 11247 | 0.2146 |
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### Framework versions
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- Transformers 4.45.1
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- Pytorch 2.4.0
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- Datasets 3.0.1
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- Tokenizers 0.20.0
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generation_config.json
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{
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"bos_token_id": 151643,
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"do_sample": true,
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"eos_token_id": [
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151645,
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151643
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],
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"pad_token_id": 151643,
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"repetition_penalty": 1.1,
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"temperature": 0.2,
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"top_k": 60,
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"top_p": 0.75,
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"transformers_version": "4.45.1"
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}
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