peft tensorboard safetensors generated_from_trainer dataset:BioDEX/BioDEX-ICSR base_model:google/flan-t5-large license:apache-2.0 region:us
---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: google/flan-t5-large
model-index:
- name: final_results
  results: []
datasets:
- BioDEX/BioDEX-ICSR
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# final_results

This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9155

## 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: 0.0003
- train_batch_size: 8
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.2959        | 1.0   | 1203 | 1.0876          |
| 1.1963        | 2.0   | 2406 | 1.0040          |
| 1.1396        | 3.0   | 3609 | 0.9608          |
| 1.1504        | 4.0   | 4812 | 0.9352          |
| 1.0911        | 5.0   | 6015 | 0.9218          |
| 1.0224        | 6.0   | 7218 | 0.9155          |


### Framework versions

- PEFT 0.7.2.dev0
- Transformers 4.37.1
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1