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mali111222333/
SERENE_MODEL

Name: SERENE_MODEL
Availability: InStock

generated_from_trainer

facebook/w2v-bert-2.0

finetune

mit

endpoints_compatible

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SERENE_MODEL

This model is a fine-tuned version of facebook/w2v-bert-2.0 on the mali111222333/SERENE_DATA_MINI dataset. It achieves the following results on the evaluation set:

Loss: 2.0386
Accuracy: 0.18

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: 4
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 10.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.1583	1.0	50	2.1838	0.14
2.1203	2.0	100	2.0602	0.14
2.0951	3.0	150	2.0467	0.14
2.0314	4.0	200	2.0527	0.1
2.0837	5.0	250	2.0672	0.1
2.0831	6.0	300	2.0386	0.18
2.0543	7.0	350	2.0383	0.18
2.1108	8.0	400	2.0346	0.18
2.1062	9.0	450	2.0405	0.14
2.0434	10.0	500	2.0391	0.14

Framework versions

Transformers 4.57.0.dev0
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1

mali111222333/SERENE_MODEL

SERENE_MODEL

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

mali111222333/
SERENE_MODEL