metadata
license: other
base_model: facebook/opt-350m
tags:
- generated_from_trainer
model-index:
- name: placementt-model
results: []
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