---
license: apache-2.0
base_model: t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: assignment2_attempt1
  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. -->

# assignment2_attempt1

This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 5.5679
- Rouge1: 0.1429
- Rouge2: 0.0
- Rougel: 0.0816
- Rougelsum: 0.0816
- Gen Len: 19.0

## 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: 2e-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: 100

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 1    | 6.2764          | 0.1429 | 0.0    | 0.0816 | 0.0816    | 19.0    |
| No log        | 2.0   | 2    | 6.1100          | 0.1429 | 0.0    | 0.0816 | 0.0816    | 19.0    |
| No log        | 3.0   | 3    | 5.9592          | 0.1429 | 0.0    | 0.0816 | 0.0816    | 19.0    |
| No log        | 4.0   | 4    | 5.8185          | 0.1429 | 0.0    | 0.0816 | 0.0816    | 19.0    |
| No log        | 5.0   | 5    | 5.6855          | 0.1429 | 0.0    | 0.0816 | 0.0816    | 19.0    |
| No log        | 6.0   | 6    | 5.5679          | 0.1429 | 0.0    | 0.0816 | 0.0816    | 19.0    |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1