---
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flant5-ami
  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. -->

# flant5-ami

This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.6814
- Rouge1: 9.4371
- Rouge2: 3.167
- Rougel: 8.1983
- Rougelsum: 8.9453
- Gen Len: 18.6429

## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:------:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 0.9811 | 26   | 2.8131          | 7.8042 | 2.6615 | 6.7749 | 7.61      | 18.5357 |
| No log        | 2.0    | 53   | 2.7404          | 8.6157 | 2.9338 | 7.3561 | 8.3732    | 18.6429 |
| No log        | 2.9811 | 79   | 2.7073          | 9.793  | 3.4335 | 8.3235 | 9.3152    | 18.6429 |
| No log        | 4.0    | 106  | 2.6872          | 9.4857 | 3.237  | 8.2132 | 8.9695    | 18.6429 |
| No log        | 4.9057 | 130  | 2.6814          | 9.4371 | 3.167  | 8.1983 | 8.9453    | 18.6429 |


### Framework versions

- Transformers 4.44.0
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1