llama_1b_step2_batch_v4

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.3240

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: 5e-05
• train_batch_size: 6
• eval_batch_size: 40
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 24
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss
1.0775	0.1022	50	0.9867
0.773	0.2045	100	0.7635
0.6877	0.3067	150	0.6190
0.5539	0.4090	200	0.5455
0.5489	0.5112	250	0.4832
0.5126	0.6135	300	0.4512
0.3873	0.7157	350	0.4194
0.4313	0.8180	400	0.3849
0.4021	0.9202	450	0.3643
0.2229	1.0225	500	0.3647
0.2363	1.1247	550	0.3558
0.2136	1.2270	600	0.3453
0.1827	1.3292	650	0.3391
0.2226	1.4315	700	0.3336
0.1935	1.5337	750	0.3292
0.2207	1.6360	800	0.3266
0.2445	1.7382	850	0.3254
0.1998	1.8405	900	0.3245
0.2059	1.9427	950	0.3240

Framework versions

• Transformers 4.46.1
• Pytorch 2.1.0+cu118
• Datasets 3.0.2
• Tokenizers 0.20.1