---
license: apache-2.0
tags:
- generated_from_trainer
base_model: google/flan-t5-small
model-index:
- name: events-mem-small-no-prompt
  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. -->

# events-mem-small-no-prompt

This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0052

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 8.3428        | 1.0   | 644  | 0.1778          |
| 0.3567        | 2.0   | 1288 | 0.0091          |
| 0.0298        | 3.0   | 1932 | 0.0066          |
| 0.0151        | 4.0   | 2576 | 0.0060          |
| 0.0126        | 5.0   | 3220 | 0.0058          |
| 0.0122        | 6.0   | 3864 | 0.0055          |
| 0.0106        | 7.0   | 4508 | 0.0053          |
| 0.0101        | 8.0   | 5152 | 0.0053          |
| 0.0101        | 9.0   | 5796 | 0.0051          |
| 0.0096        | 10.0  | 6440 | 0.0052          |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.17.0
- Tokenizers 0.15.2