peft-dialogue-summary-training-1716826281

This model is a fine-tuned version of ibm-granite/granite-8b-code-instruct on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.5039

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: 0.0002
• train_batch_size: 1
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 4
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 1
• training_steps: 400

Training results

Training Loss	Epoch	Step	Validation Loss
7.3086	0.1453	25	5.5472
5.237	0.2907	50	4.5187
4.1279	0.4360	75	3.6791
3.601	0.5814	100	3.0487
3.1216	0.7267	125	2.6284
3.0769	0.8721	150	2.3158
2.3403	1.0174	175	2.1901
1.926	1.1628	200	2.2728
1.6723	1.3081	225	2.1936
1.7322	1.4535	250	2.0048
1.7326	1.5988	275	1.8762
1.6822	1.7442	300	1.8119
1.603	1.8895	325	1.6480
1.4208	2.0349	350	1.5662
1.2048	2.1802	375	1.5147
1.1107	2.3256	400	1.5039

Framework versions

• PEFT 0.11.1
• Transformers 4.41.1
• Pytorch 2.3.0+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1