metadata

license: apache-2.0
base_model: google/mt5-small
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: mt5-small-task3-dataset2
    results: []

mt5-small-task3-dataset2

This model is a fine-tuned version of google/mt5-small on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.4809
Accuracy: 0.05
Mse: 3.5326
Log-distance: 0.6225
S Score: 0.5228

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: 5.6e-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: 15

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Mse	Log-distance	S Score
10.7614	1.0	250	2.2221	0.02	4.6987	0.8722	0.3952
3.1541	2.0	500	1.8435	0.03	4.5082	0.8636	0.4076
2.2712	3.0	750	1.6006	0.058	4.0535	0.6741	0.4904
1.9534	4.0	1000	1.5801	0.048	3.8523	0.6757	0.4900
1.7967	5.0	1250	1.5597	0.058	4.0535	0.6741	0.4904
1.7555	6.0	1500	1.5326	0.062	4.0192	0.6611	0.5000
1.7044	7.0	1750	1.5198	0.06	4.0145	0.6662	0.4964
1.6736	8.0	2000	1.4987	0.046	3.6736	0.6423	0.5152
1.655	9.0	2250	1.5009	0.064	4.0090	0.6499	0.5072
1.6357	10.0	2500	1.4970	0.04	3.4623	0.6158	0.5288
1.6174	11.0	2750	1.4911	0.062	3.9369	0.6443	0.5100
1.6024	12.0	3000	1.4913	0.054	3.8887	0.6435	0.5152
1.6116	13.0	3250	1.4828	0.056	3.4981	0.6225	0.5200
1.5988	14.0	3500	1.4831	0.048	3.6081	0.6275	0.5204
1.6008	15.0	3750	1.4809	0.05	3.5326	0.6225	0.5228

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.15.0
Tokenizers 0.15.0