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---
library_name: transformers
base_model: Plasmoxy/flan-t5-small-gigatrue
tags:
- generated_from_trainer
model-index:
- name: flan-t5-small-gigatrue-INCS2S-0.5sparsity
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. -->
# flan-t5-small-gigatrue-INCS2S-0.5sparsity
This model is a fine-tuned version of [Plasmoxy/flan-t5-small-gigatrue](https://huggingface.co/Plasmoxy/flan-t5-small-gigatrue) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0847
## 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 |
|:-------------:|:------:|:-----:|:---------------:|
| 2.4167 | 0.1015 | 3000 | 2.1071 |
| 2.4079 | 0.2030 | 6000 | 2.0958 |
| 2.4015 | 0.3044 | 9000 | 2.0977 |
| 2.3987 | 0.4059 | 12000 | 2.0943 |
| 2.394 | 0.5074 | 15000 | 2.0944 |
| 2.394 | 0.6089 | 18000 | 2.0898 |
| 2.393 | 0.7104 | 21000 | 2.0893 |
| 2.3935 | 0.8119 | 24000 | 2.0877 |
| 2.3901 | 0.9133 | 27000 | 2.0885 |
| 2.3913 | 1.0148 | 30000 | 2.0869 |
| 2.3902 | 1.1163 | 33000 | 2.0872 |
| 2.3859 | 1.2178 | 36000 | 2.0861 |
| 2.3873 | 1.3193 | 39000 | 2.0853 |
| 2.3862 | 1.4207 | 42000 | 2.0844 |
| 2.3854 | 1.5222 | 45000 | 2.0845 |
| 2.3849 | 1.6237 | 48000 | 2.0866 |
| 2.3874 | 1.7252 | 51000 | 2.0856 |
| 2.3813 | 1.8267 | 54000 | 2.0839 |
| 2.3839 | 1.9282 | 57000 | 2.0839 |
| 2.3856 | 2.0296 | 60000 | 2.0846 |
| 2.3857 | 2.1311 | 63000 | 2.0853 |
| 2.3808 | 2.2326 | 66000 | 2.0851 |
| 2.3859 | 2.3341 | 69000 | 2.0847 |
| 2.3849 | 2.4356 | 72000 | 2.0849 |
| 2.3832 | 2.5370 | 75000 | 2.0846 |
| 2.3861 | 2.6385 | 78000 | 2.0846 |
| 2.3842 | 2.7400 | 81000 | 2.0849 |
| 2.3852 | 2.8415 | 84000 | 2.0848 |
| 2.3844 | 2.9430 | 87000 | 2.0847 |
### Framework versions
- Transformers 4.45.2
- Pytorch 2.5.1
- Datasets 3.2.0
- Tokenizers 0.20.3
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