---
base_model: Eliac11/tinkNLP
tags:
- generated_from_keras_callback
model-index:
- name: Eliac11/FitModelKTP
  results: []
---

<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->

# Eliac11/FitModelKTP

This model is a fine-tuned version of [Eliac11/tinkNLP](https://huggingface.co/Eliac11/tinkNLP) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.2798
- Validation Loss: 3.0329
- Epoch: 41

## 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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.005}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 3.9625     | 4.0902          | 0     |
| 3.7233     | 3.9629          | 1     |
| 3.5004     | 3.8605          | 2     |
| 3.2832     | 3.7674          | 3     |
| 3.0715     | 3.7121          | 4     |
| 2.8942     | 3.6216          | 5     |
| 2.7196     | 3.5805          | 6     |
| 2.5480     | 3.4985          | 7     |
| 2.3730     | 3.4634          | 8     |
| 2.2230     | 3.4004          | 9     |
| 2.0769     | 3.3615          | 10    |
| 1.9424     | 3.3254          | 11    |
| 1.8186     | 3.2929          | 12    |
| 1.7042     | 3.2540          | 13    |
| 1.5870     | 3.2088          | 14    |
| 1.4708     | 3.1860          | 15    |
| 1.3852     | 3.1750          | 16    |
| 1.2858     | 3.1422          | 17    |
| 1.2008     | 3.1238          | 18    |
| 1.1220     | 3.0919          | 19    |
| 1.0540     | 3.0795          | 20    |
| 0.9794     | 3.0708          | 21    |
| 0.9126     | 3.0515          | 22    |
| 0.8535     | 3.0567          | 23    |
| 0.8003     | 3.0344          | 24    |
| 0.7417     | 3.0280          | 25    |
| 0.6913     | 3.0222          | 26    |
| 0.6467     | 3.0232          | 27    |
| 0.6076     | 3.0171          | 28    |
| 0.5714     | 3.0096          | 29    |
| 0.5296     | 3.0148          | 30    |
| 0.4989     | 3.0026          | 31    |
| 0.4666     | 3.0084          | 32    |
| 0.4366     | 3.0061          | 33    |
| 0.4123     | 3.0066          | 34    |
| 0.3904     | 3.0154          | 35    |
| 0.3676     | 3.0024          | 36    |
| 0.3467     | 3.0194          | 37    |
| 0.3249     | 3.0249          | 38    |
| 0.3095     | 3.0149          | 39    |
| 0.2947     | 3.0215          | 40    |
| 0.2798     | 3.0329          | 41    |


### Framework versions

- Transformers 4.38.2
- TensorFlow 2.15.0
- Datasets 2.18.0
- Tokenizers 0.15.2