---
license: apache-2.0
tags:
- generated_from_trainer
base_model: google/flan-t5-large
model-index:
- name: events-mem-large
  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-large

This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0039

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.2629        | 1.0   | 665  | 0.0056          |
| 0.0098        | 2.0   | 1330 | 0.0049          |
| 0.0048        | 3.0   | 1995 | 0.0044          |
| 0.0036        | 4.0   | 2660 | 0.0042          |
| 0.0031        | 5.0   | 3325 | 0.0040          |
| 0.0031        | 6.0   | 3990 | 0.0040          |
| 0.0041        | 7.0   | 4655 | 0.0039          |
| 0.0024        | 8.0   | 5320 | 0.0038          |
| 0.0022        | 9.0   | 5985 | 0.0038          |
| 0.0021        | 10.0  | 6650 | 0.0039          |


### Framework versions

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