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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---
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---
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license: apache-2.0
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base_model: google/flan-t5-base
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tags:
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- generated_from_trainer
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metrics:
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- rouge
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model-index:
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- name: t5-fine-tune-generate-email
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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-fine-tune-generate-email
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This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.4153
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- Rouge1: 0.0143
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- Rouge2: 0.0060
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- Rougel: 0.0137
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- Rougelsum: 0.0142
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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: 0.0003
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- train_batch_size: 6
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- eval_batch_size: 6
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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 | Rouge1 | Rouge2 | Rougel | Rougelsum |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
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| 2.864 | 1.0 | 2487 | 2.5669 | 0.0151 | 0.0060 | 0.0145 | 0.0150 |
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| 2.6463 | 2.0 | 4974 | 2.4533 | 0.0143 | 0.0060 | 0.0137 | 0.0142 |
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| 2.5031 | 3.0 | 7461 | 2.4153 | 0.0143 | 0.0060 | 0.0137 | 0.0142 |
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.16.1
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- Tokenizers 0.15.0
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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": "4.35.2"
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}
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model.safetensors
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runs/Jan14_18-24-06_ae4ac729c2a5/events.out.tfevents.1705256667.ae4ac729c2a5.813.0
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size 9229
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