---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5_small_earning_conference_call_stats
  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. -->

# t5_small_earning_conference_call_stats

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0694
- Rouge1: 0.6953
- Rouge2: 0.5056
- Rougel: 0.6725
- Rougelsum: 0.6722
- Gen Len: 11.2935

## 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: 0.005
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 1.607         | 1.0   | 569  | 1.2417          | 0.6614 | 0.467  | 0.6427 | 0.6427    | 11.6291 |
| 1.1119        | 2.0   | 1138 | 1.0879          | 0.6805 | 0.4875 | 0.6591 | 0.6592    | 11.2556 |
| 0.8388        | 3.0   | 1707 | 1.0345          | 0.6921 | 0.5015 | 0.6684 | 0.6679    | 11.3868 |
| 0.5961        | 4.0   | 2276 | 1.0694          | 0.6953 | 0.5056 | 0.6725 | 0.6722    | 11.2935 |


### Framework versions

- Transformers 4.41.1
- Pytorch 2.3.0
- Datasets 2.19.1
- Tokenizers 0.19.1