metadata

license: other
tags:
  - generated_from_trainer
datasets:
  - AlekseyKorshuk/amazon-reviews-input-output
metrics:
  - accuracy
model-index:
  - name: amazon-reviews-input-output-6.7b-best
    results:
      - task:
          name: Causal Language Modeling
          type: text-generation
        dataset:
          name: AlekseyKorshuk/amazon-reviews-input-output
          type: AlekseyKorshuk/amazon-reviews-input-output
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.040325203252032524

amazon-reviews-input-output-6.7b-best

This model is a fine-tuned version of facebook/opt-6.7b on the AlekseyKorshuk/amazon-reviews-input-output dataset. It achieves the following results on the evaluation set:

Loss: 2.6953
Accuracy: 0.0403
Samples: 100
Perplexity: 14.8101
Table: <wandb.data_types.Table object at 0x7fc684448b50>

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: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 64
total_eval_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.9912	0.06	1	2.7441	0.0404
2.9329	0.12	2	2.7441	0.0404
2.9138	0.19	3	2.8262	0.0389
2.9395	0.25	4	2.8262	0.0389
2.9109	0.31	5	2.7949	0.0399
2.8391	0.38	6	2.7461	0.0403
2.9368	0.44	7	2.7207	0.0398
2.7583	0.5	8	2.7070	0.0403
2.9756	0.56	9	2.6836	0.0408
2.8442	0.62	10	2.6738	0.0403
2.7312	0.69	11	2.6680	0.0405
2.7439	0.75	12	2.6699	0.0404
2.9075	0.81	13	2.6797	0.0403
2.8518	0.88	14	2.6797	0.0403
2.8579	0.94	15	2.6777	0.0404
2.8916	1.0	16	2.6953	0.0403

Framework versions

Transformers 4.25.0.dev0
Pytorch 1.12.1+cu113
Datasets 2.3.2
Tokenizers 0.12.1