Training complete
Browse files
README.md
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---
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license: apache-2.0
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base_model: google/mt5-small
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tags:
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- summarization
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- generated_from_trainer
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model-index:
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- name: mt5-small-finetuned-mails
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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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# mt5-small-finetuned-mails
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 0.0592
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- eval_rouge1: 71.2948
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- eval_rouge2: 67.7633
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- eval_rougeL: 71.2282
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- eval_rougeLsum: 71.2162
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- eval_runtime: 1259.4768
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- eval_samples_per_second: 15.43
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- eval_steps_per_second: 1.929
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- epoch: 7.8728
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- step: 76500
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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: 5.6e-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: 8
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### Framework versions
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- Transformers 4.41.2
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- Pytorch 2.3.0+cu121
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- Datasets 2.20.0
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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": "4.41.2"
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}
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model.safetensors
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runs/Jul07_20-40-12_0c3a9f3e361e/events.out.tfevents.1720384885.0c3a9f3e361e.3311.0
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size 10475
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