metadata

library_name: transformers
base_model: fahadqazi/testts1234
tags:
  - generated_from_trainer
model-index:
  - name: testts1234
    results: []

testts1234

This model is a fine-tuned version of fahadqazi/testts1234 on the None dataset. It achieves the following results on the evaluation set:

Model description

More information needed

More information needed

More information needed

The following hyperparameters were used during training:

learning_rate: 5e-06
train_batch_size: 64
eval_batch_size: 64
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: cosine
training_steps: 1500
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss
0.3565	0.6803	100	0.3094
0.3532	1.3605	200	0.3091
0.3528	2.0408	300	0.3084
0.3619	2.7211	400	0.3092
0.3574	3.4014	500	0.3088
0.3584	4.0816	600	0.3090
0.3526	4.7619	700	0.3090
0.356	5.4422	800	0.3087
0.3528	6.1224	900	0.3085
0.353	6.8027	1000	0.3091
0.3606	7.4830	1100	0.3087
0.3531	8.1633	1200	0.3088
0.3581	8.8435	1300	0.3088
0.3503	9.5238	1400	0.3086
0.3458	10.2041	1500	0.3092