---
library_name: transformers
license: apache-2.0
base_model: eddieman78/litbank-coref-mem-xl-3
tags:
- generated_from_trainer
model-index:
- name: litbank-coref-mem-xl-6
  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. -->

# litbank-coref-mem-xl-6

This model is a fine-tuned version of [eddieman78/litbank-coref-mem-xl-3](https://huggingface.co/eddieman78/litbank-coref-mem-xl-3) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0003

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAFACTOR and the args are:
No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.0054        | 0.5855 | 500  | 0.0019          |
| 0.0034        | 1.1710 | 1000 | 0.0010          |
| 0.0023        | 1.7564 | 1500 | 0.0006          |
| 0.0016        | 2.3419 | 2000 | 0.0004          |
| 0.0012        | 2.9274 | 2500 | 0.0003          |


### Framework versions

- Transformers 4.50.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1