---
base_model: google/flan-t5-base
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: onto-coref-mem-base
  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. -->

# onto-coref-mem-base

This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1241

## 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: 3

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.1063        | 1.0   | 16701 | 0.1228          |
| 0.0909        | 2.0   | 33402 | 0.1231          |
| 0.0897        | 3.0   | 50103 | 0.1241          |


### Framework versions

- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.17.0
- Tokenizers 0.19.1