prompt_fine_tuned_rte_croslo – AI Model by lenatr99 | AlphaNeural AI

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lenatr99/
prompt_fine_tuned_rte_croslo

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EMBEDDIA/crosloengual-bert

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prompt_fine_tuned_rte_croslo

This model is a fine-tuned version of EMBEDDIA/crosloengual-bert on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.6858
Accuracy: 0.5517
F1: 0.5215

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 400

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.7003	1.7241	50	0.6844	0.5862	0.5483
0.682	3.4483	100	0.6833	0.6207	0.5750
0.6937	5.1724	150	0.6850	0.5517	0.5215
0.7036	6.8966	200	0.6860	0.5517	0.5215
0.6974	8.6207	250	0.6859	0.5517	0.5215
0.7117	10.3448	300	0.6859	0.5517	0.5215
0.7073	12.0690	350	0.6857	0.5517	0.5215
0.7038	13.7931	400	0.6858	0.5517	0.5215

Framework versions

PEFT 0.11.1
Transformers 4.41.0
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1