Final One
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README.md
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---
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license: apache-2.0
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base_model: google/byt5-small
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tags:
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- generated_from_trainer
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model-index:
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- name: filtered_annotated100k_byt5
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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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# filtered_annotated100k_byt5
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This model is a fine-tuned version of [google/byt5-small](https://huggingface.co/google/byt5-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 0.0404
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- eval_Val Accuracy: 0.5118
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- eval_gen_len: 16.6927
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- eval_runtime: 289.0028
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- eval_samples_per_second: 33.232
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- eval_steps_per_second: 1.042
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- epoch: 3.0
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- step: 3603
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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: 0.0005
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- train_batch_size: 64
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- eval_batch_size: 32
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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: 200
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### Framework versions
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- Transformers 4.37.2
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- Pytorch 1.13.1+cu117
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- Datasets 2.17.1
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- Tokenizers 0.15.2
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generation_config.json
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{
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"decoder_start_token_id": 0,
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"eos_token_id": 1,
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"pad_token_id": 0,
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"transformers_version": "4.37.2"
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}
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model.safetensors
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runs/Feb23_10-10-23_7fe0829283d4/events.out.tfevents.1708683025.7fe0829283d4.4867.0
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