placementt-model

This model is a fine-tuned version of facebook/opt-350m on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.7269

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: 2e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	1	3.0473
No log	2.0	2	2.5713
No log	3.0	3	2.3059
No log	4.0	4	2.1289
No log	5.0	5	2.0009
No log	6.0	6	1.9028
No log	7.0	7	1.8287
No log	8.0	8	1.7768
No log	9.0	9	1.7433
No log	10.0	10	1.7269

Framework versions

• Transformers 4.42.4
• Pytorch 2.3.1+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1