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Edwinlasso99/
finetuned_model

Name: finetuned_model
Availability: InStock

peft

safetensors

xlm-roberta

generated_from_trainer

biobert_json

FacebookAI/xlm-roberta-large

adapter

mit

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finetuned_model

This model is a fine-tuned version of FacebookAI/xlm-roberta-large on the biobert_json dataset. It achieves the following results on the evaluation set:

Loss: nan
Precision: 0.0025
Recall: 0.0130
F1: 0.0042
Accuracy: 0.0207

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: 2e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5

Training results

Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
1.0	306	nan	0.0025	0.0130	0.0042	0.0207
2.0	612	nan	0.0025	0.0130	0.0042	0.0207
3.0	918	nan	0.0025	0.0130	0.0042	0.0207
4.0	1224	nan	0.0025	0.0130	0.0042	0.0207
5.0	1530	nan	0.0025	0.0130	0.0042	0.0207

Framework versions

PEFT 0.13.2
Transformers 4.46.3
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.20.3

Edwinlasso99/finetuned_model

finetuned_model

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Edwinlasso99/
finetuned_model