learning_rate: 5e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 256
optimizer: Use 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_steps: 500
num_epochs: 30

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1
No log	1.0	13	4.5195	0.0535	0.0779	0.0616
No log	2.0	26	4.2070	0.0786	0.0765	0.0695
No log	3.0	39	3.7695	0.0808	0.0912	0.0835
No log	4.0	52	3.2695	0.1445	0.1382	0.1357
No log	5.0	65	2.9609	0.2160	0.2353	0.1991
No log	6.0	78	2.5957	0.3343	0.3176	0.2974
No log	7.0	91	2.2344	0.3784	0.3632	0.3659
No log	8.0	104	2.2188	0.4388	0.4368	0.4316
No log	9.0	117	2.1445	0.4599	0.4485	0.4472
No log	10.0	130	2.1133	0.4971	0.475	0.4754
No log	11.0	143	1.9170	0.5066	0.5029	0.5023
No log	12.0	156	1.9746	0.5370	0.5191	0.5218
No log	13.0	169	1.8906	0.5481	0.5309	0.5331
No log	14.0	182	1.8984	0.5269	0.5294	0.5245
No log	15.0	195	1.8643	0.5529	0.5456	0.5411

Kudod/Cognitive-Distortions-Llama-3.1-8B-v2

Cognitive-Distortions-Llama-3.1-8B-v2