metadata

license: apache-2.0
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: xls-r-es-test-lm-finetuned-sentiment-mesd
    results: []

xls-r-es-test-lm-finetuned-sentiment-mesd

This model is a fine-tuned version of glob-asr/xls-r-es-test-lm on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.7851
Accuracy: 0.2385

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: 1.25e-05
train_batch_size: 64
eval_batch_size: 40
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	0.86	3	1.7876	0.1923
1.9709	1.86	6	1.7869	0.2
1.9709	2.86	9	1.7859	0.2308
2.146	3.86	12	1.7851	0.2385
1.9622	4.86	15	1.7842	0.1923
1.9622	5.86	18	1.7834	0.1769
2.137	6.86	21	1.7823	0.1923
2.137	7.86	24	1.7812	0.1923
2.1297	8.86	27	1.7800	0.1846
1.9502	9.86	30	1.7787	0.1846
1.9502	10.86	33	1.7772	0.1846
2.1234	11.86	36	1.7760	0.1846
2.1234	12.86	39	1.7748	0.1846
2.1186	13.86	42	1.7736	0.1846
1.9401	14.86	45	1.7725	0.1846
1.9401	15.86	48	1.7715	0.1923
2.112	16.86	51	1.7706	0.1923
2.112	17.86	54	1.7701	0.1923
2.1094	18.86	57	1.7697	0.2
1.934	19.86	60	1.7696	0.2

Framework versions

Transformers 4.17.0
Pytorch 1.10.0+cu111
Datasets 2.0.0
Tokenizers 0.11.6