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---
license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_trainer
model-index:
- name: finetuned_T5_amzn_v2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# finetuned_T5_amzn_v2
This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an the Amazon Fine Food Reviews dataset.
It achieves the following results on the evaluation set:
- Loss: 2.879612684249878
- Rouge1: 0.6625
- Rouge2: 0.4053
- Rougel: 0.1755
- Rougelsum: 0.1755
- Gen Len: 5.3418
- Bleu: 0.0178
- Bert Precision: 0.8657
- Bert Recall: 0.8505
- Bert F1: 0.8575
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
### Training results
### Framework versions
- Transformers 4.41.0
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.19.1
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