FLAN_T5 fix

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---
language:
- text
- label
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- bleu
- accuracy
model-index:
- name: flan_t5
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. -->
# flan_t5
This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4009
- Bleu: 0.0
- Accuracy: 1.0
- Gen Len: 2.0
## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1.0
### Training results
### Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2

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"eval_gen_len": 2.0,
"eval_loss": 0.4009273052215576,
"eval_runtime": 265.8814,
"eval_samples": 2000,
"eval_samples_per_second": 7.522,
"eval_steps_per_second": 0.94,
"predict_accuracy": 1.0,
"predict_bleu": 0.0,
"predict_gen_len": 2.0,
"predict_loss": 0.3817981481552124,
"predict_runtime": 289.0109,
"predict_samples": 2000,
"predict_samples_per_second": 6.92,
"predict_steps_per_second": 0.865,
"train_loss": 0.6111455688476563,
"train_runtime": 3912.895,
"train_samples": 16000,
"train_samples_per_second": 4.089,
"train_steps_per_second": 0.511
}

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"prefix": "translate English to German: "
},
"translation_en_to_fr": {
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"prefix": "translate English to French: "
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"translation_en_to_ro": {
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"prefix": "translate English to Romanian: "
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{
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