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mikhail-panzo/
ceb_full_checkpoint

Name: ceb_full_checkpoint
Availability: InStock

generated_from_trainer

mikhail-panzo/filipino_checkpoint

finetune

mit

endpoints_compatible

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ceb_full_checkpoint

This model is a fine-tuned version of mikhail-panzo/fil_enhanced_checkpoint on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.3917

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: 1e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 4000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.4492	19.23	500	0.4096
0.429	38.46	1000	0.3978
0.4188	57.69	1500	0.3947
0.4142	76.92	2000	0.3921
0.4105	96.15	2500	0.3921
0.4081	115.38	3000	0.3914
0.4107	134.62	3500	0.3906
0.406	153.85	4000	0.3917

Framework versions

Transformers 4.40.0.dev0
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

mikhail-panzo/ceb_full_checkpoint

ceb_full_checkpoint

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

mikhail-panzo/
ceb_full_checkpoint