anujbishtTx
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End of training
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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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metrics:
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- accuracy
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model-index:
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- name: small_dataset_test_with_byt5_small
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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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# small_dataset_test_with_byt5_small
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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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- Loss: 3.7505
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- Accuracy: 0.4989
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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: 4
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- eval_batch_size: 4
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 8
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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 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 8.6258 | 1.0 | 3 | 6.0739 | 0.4062 |
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| 7.5726 | 2.0 | 6 | 4.3522 | 0.4715 |
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| 5.8151 | 3.0 | 9 | 3.7505 | 0.4989 |
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### Framework versions
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- Transformers 4.42.4
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- Pytorch 2.3.1+cu121
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- Datasets 2.21.0
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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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"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": "4.42.4"
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}
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model.safetensors
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runs/Sep10_03-07-35_2ee72edb992b/events.out.tfevents.1725937656.2ee72edb992b.1632.0
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