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---
library_name: transformers
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
model-index:
- name: mt5-small-gigatrue
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. -->
# mt5-small-gigatrue
This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3207
## 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: 0.0003
- train_batch_size: 128
- eval_batch_size: 128
- 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 |
|:-------------:|:------:|:-----:|:---------------:|
| 3.5832 | 0.1015 | 3000 | 2.4570 |
| 2.9906 | 0.2030 | 6000 | 2.3889 |
| 2.9367 | 0.3044 | 9000 | 2.3747 |
| 2.9115 | 0.4059 | 12000 | 2.3593 |
| 2.891 | 0.5074 | 15000 | 2.3491 |
| 2.8835 | 0.6089 | 18000 | 2.3357 |
| 2.8777 | 0.7104 | 21000 | 2.3398 |
| 2.8722 | 0.8119 | 24000 | 2.3358 |
| 2.8663 | 0.9133 | 27000 | 2.3275 |
| 2.8658 | 1.0148 | 30000 | 2.3304 |
| 2.8623 | 1.1163 | 33000 | 2.3300 |
| 2.8579 | 1.2178 | 36000 | 2.3285 |
| 2.857 | 1.3193 | 39000 | 2.3232 |
| 2.8552 | 1.4207 | 42000 | 2.3225 |
| 2.8548 | 1.5222 | 45000 | 2.3206 |
| 2.8518 | 1.6237 | 48000 | 2.3243 |
| 2.8539 | 1.7252 | 51000 | 2.3228 |
| 2.8483 | 1.8267 | 54000 | 2.3198 |
| 2.8512 | 1.9282 | 57000 | 2.3212 |
| 2.8515 | 2.0296 | 60000 | 2.3204 |
| 2.8512 | 2.1311 | 63000 | 2.3205 |
| 2.8492 | 2.2326 | 66000 | 2.3218 |
| 2.851 | 2.3341 | 69000 | 2.3221 |
| 2.8497 | 2.4356 | 72000 | 2.3208 |
| 2.848 | 2.5370 | 75000 | 2.3203 |
| 2.852 | 2.6385 | 78000 | 2.3200 |
| 2.8483 | 2.7400 | 81000 | 2.3212 |
| 2.85 | 2.8415 | 84000 | 2.3206 |
| 2.8503 | 2.9430 | 87000 | 2.3207 |
### Framework versions
- Transformers 4.45.2
- Pytorch 2.5.1
- Datasets 3.2.0
- Tokenizers 0.20.3
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