---
license: apache-2.0
tags:
- generated_from_trainer
base_model: eddieman78/onto-coref-mem-base
model-index:
- name: litbank-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. -->

# litbank-coref-mem-base

This model is a fine-tuned version of [eddieman78/onto-coref-mem-base](https://huggingface.co/eddieman78/onto-coref-mem-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0220

## 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: 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: 50

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| No log        | 1.0   | 339   | 0.0255          |
| 0.0407        | 2.0   | 678   | 0.0221          |
| 0.0279        | 3.0   | 1017  | 0.0206          |
| 0.0279        | 4.0   | 1356  | 0.0197          |
| 0.0232        | 5.0   | 1695  | 0.0191          |
| 0.0212        | 6.0   | 2034  | 0.0189          |
| 0.0212        | 7.0   | 2373  | 0.0184          |
| 0.0193        | 8.0   | 2712  | 0.0184          |
| 0.0176        | 9.0   | 3051  | 0.0181          |
| 0.0176        | 10.0  | 3390  | 0.0187          |
| 0.0164        | 11.0  | 3729  | 0.0182          |
| 0.0155        | 12.0  | 4068  | 0.0183          |
| 0.0155        | 13.0  | 4407  | 0.0182          |
| 0.0143        | 14.0  | 4746  | 0.0185          |
| 0.0134        | 15.0  | 5085  | 0.0184          |
| 0.0134        | 16.0  | 5424  | 0.0187          |
| 0.0127        | 17.0  | 5763  | 0.0188          |
| 0.0121        | 18.0  | 6102  | 0.0186          |
| 0.0121        | 19.0  | 6441  | 0.0188          |
| 0.0118        | 20.0  | 6780  | 0.0192          |
| 0.0111        | 21.0  | 7119  | 0.0192          |
| 0.0111        | 22.0  | 7458  | 0.0191          |
| 0.0108        | 23.0  | 7797  | 0.0197          |
| 0.01          | 24.0  | 8136  | 0.0199          |
| 0.01          | 25.0  | 8475  | 0.0202          |
| 0.0098        | 26.0  | 8814  | 0.0200          |
| 0.0093        | 27.0  | 9153  | 0.0198          |
| 0.0093        | 28.0  | 9492  | 0.0200          |
| 0.0093        | 29.0  | 9831  | 0.0208          |
| 0.0089        | 30.0  | 10170 | 0.0203          |
| 0.0087        | 31.0  | 10509 | 0.0214          |
| 0.0087        | 32.0  | 10848 | 0.0203          |
| 0.0087        | 33.0  | 11187 | 0.0208          |
| 0.008         | 34.0  | 11526 | 0.0213          |
| 0.008         | 35.0  | 11865 | 0.0212          |
| 0.0079        | 36.0  | 12204 | 0.0215          |
| 0.0079        | 37.0  | 12543 | 0.0216          |
| 0.0079        | 38.0  | 12882 | 0.0217          |
| 0.0077        | 39.0  | 13221 | 0.0217          |
| 0.0075        | 40.0  | 13560 | 0.0219          |
| 0.0075        | 41.0  | 13899 | 0.0221          |
| 0.0074        | 42.0  | 14238 | 0.0218          |
| 0.0072        | 43.0  | 14577 | 0.0220          |
| 0.0072        | 44.0  | 14916 | 0.0220          |
| 0.0071        | 45.0  | 15255 | 0.0220          |
| 0.0072        | 46.0  | 15594 | 0.0220          |
| 0.0072        | 47.0  | 15933 | 0.0220          |
| 0.0071        | 48.0  | 16272 | 0.0220          |
| 0.0072        | 49.0  | 16611 | 0.0220          |
| 0.0072        | 50.0  | 16950 | 0.0220          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.2
- Datasets 2.17.0
- Tokenizers 0.15.2