lesha-grishchenko
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End of training
Browse files
README.md
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---
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license: apache-2.0
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base_model: google-t5/t5-base
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tags:
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- generated_from_trainer
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metrics:
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- bleu
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model-index:
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- name: t5-base_te
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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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# t5-base_te
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This model is a fine-tuned version of [google-t5/t5-base](https://huggingface.co/google-t5/t5-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.3917
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- Bleu: 0.0241
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- Gen Len: 19.0
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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: 3e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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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: 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 | Bleu | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
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| 2.1859 | 1.0 | 2420 | 2.0410 | 0.0101 | 19.0 |
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| 3.7976 | 2.0 | 4840 | 3.3917 | 0.0241 | 19.0 |
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### Framework versions
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- Transformers 4.40.2
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- Pytorch 2.2.1+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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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": "4.40.2"
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}
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model.safetensors
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runs/May13_21-19-40_55e0f623b7e3/events.out.tfevents.1715635182.55e0f623b7e3.1233.0
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