llama_3b_step2_batch_v5

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

• Loss: 0.3275

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: 3e-05
• train_batch_size: 8
• eval_batch_size: 40
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 32
• 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
0.9071	0.1363	50	0.8211
0.7063	0.2727	100	0.6140
0.5548	0.4090	150	0.5100
0.3776	0.5453	200	0.4445
0.4611	0.6817	250	0.4011
0.3701	0.8180	300	0.3742
0.325	0.9543	350	0.3529
0.2093	1.0913	400	0.3522
0.2459	1.2277	450	0.3428
0.201	1.3640	500	0.3355
0.2741	1.5003	550	0.3312
0.2596	1.6367	600	0.3283
0.2138	1.7730	650	0.3281
0.2181	1.9093	700	0.3275

Framework versions

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