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

# amtibot_t5

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: 2.3926
- Rouge1: 0.3075
- Rouge2: 0.1254
- Rougel: 0.2587
- Rougelsum: 0.2591
- 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
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- 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

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 0.92  | 9    | 2.9455          | 0.3081 | 0.128  | 0.265  | 0.2643    | 19.0    |
| No log        | 1.95  | 19   | 2.5732          | 0.3069 | 0.1305 | 0.2575 | 0.257     | 19.0    |
| No log        | 2.97  | 29   | 2.4209          | 0.3039 | 0.1243 | 0.2548 | 0.2559    | 19.0    |
| No log        | 3.69  | 36   | 2.3926          | 0.3075 | 0.1254 | 0.2587 | 0.2591    | 19.0    |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2