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: 1e-05
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: constant
training_steps: 1000
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss
0.3542	0.3401	50	0.3087
0.3558	0.6803	100	0.3088
0.3571	1.0204	150	0.3085
0.3578	1.3605	200	0.3090
0.3608	1.7007	250	0.3091
0.3508	2.0408	300	0.3090
0.3551	2.3810	350	0.3088
0.3553	2.7211	400	0.3096
0.3572	3.0612	450	0.3090
0.3517	3.4014	500	0.3096
0.3633	3.7415	550	0.3094
0.3612	4.0816	600	0.3093
0.3655	4.4218	650	0.3091
0.3619	4.7619	700	0.3090
0.3601	5.1020	750	0.3090
0.3557	5.4422	800	0.3092
0.3533	5.7823	850	0.3094
0.3531	6.1224	900	0.3091
0.3597	6.4626	950	0.3100
0.3559	6.8027	1000	0.3086