---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_keras_callback
model-index:
- name: ecolibrium
  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. -->

# ecolibrium

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.3202
- Validation Loss: 0.0689
- Epoch: 49

## 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': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 0.0002, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 1.6155     | 1.3909          | 0     |
| 1.4232     | 1.2592          | 1     |
| 1.3301     | 1.1768          | 2     |
| 1.2562     | 1.0908          | 3     |
| 1.1925     | 1.0136          | 4     |
| 1.1417     | 0.9589          | 5     |
| 1.0953     | 0.9173          | 6     |
| 1.0502     | 0.8531          | 7     |
| 1.0103     | 0.8009          | 8     |
| 0.9761     | 0.7488          | 9     |
| 0.9404     | 0.7100          | 10    |
| 0.9095     | 0.6793          | 11    |
| 0.8743     | 0.6319          | 12    |
| 0.8480     | 0.6139          | 13    |
| 0.8233     | 0.5741          | 14    |
| 0.7942     | 0.5479          | 15    |
| 0.7697     | 0.5176          | 16    |
| 0.7456     | 0.4847          | 17    |
| 0.7250     | 0.4650          | 18    |
| 0.6996     | 0.4370          | 19    |
| 0.6790     | 0.4141          | 20    |
| 0.6607     | 0.3959          | 21    |
| 0.6428     | 0.3666          | 22    |
| 0.6249     | 0.3511          | 23    |
| 0.6060     | 0.3344          | 24    |
| 0.5944     | 0.3178          | 25    |
| 0.5750     | 0.2942          | 26    |
| 0.5607     | 0.2787          | 27    |
| 0.5453     | 0.2608          | 28    |
| 0.5317     | 0.2472          | 29    |
| 0.5146     | 0.2365          | 30    |
| 0.5017     | 0.2146          | 31    |
| 0.4909     | 0.2078          | 32    |
| 0.4764     | 0.1945          | 33    |
| 0.4664     | 0.1831          | 34    |
| 0.4517     | 0.1703          | 35    |
| 0.4397     | 0.1643          | 36    |
| 0.4316     | 0.1588          | 37    |
| 0.4196     | 0.1428          | 38    |
| 0.4073     | 0.1311          | 39    |
| 0.3949     | 0.1232          | 40    |
| 0.3871     | 0.1175          | 41    |
| 0.3776     | 0.1105          | 42    |
| 0.3705     | 0.1025          | 43    |
| 0.3623     | 0.0959          | 44    |
| 0.3514     | 0.0928          | 45    |
| 0.3427     | 0.0828          | 46    |
| 0.3346     | 0.0799          | 47    |
| 0.3268     | 0.0736          | 48    |
| 0.3202     | 0.0689          | 49    |


### Framework versions

- Transformers 4.35.0
- TensorFlow 2.14.0
- Datasets 2.14.6
- Tokenizers 0.14.1