File size: 1,608 Bytes
8c7e6fe |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 |
---
license: apache-2.0
base_model: facebook/blenderbot-400M-distill
tags:
- generated_from_trainer
datasets:
- marsyas/gtzan
model-index:
- name: facebook/blenderbot-400M-distill-finetuned
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# facebook/blenderbot-400M-distill-finetuned
This model is a fine-tuned version of [facebook/blenderbot-400M-distill](https://huggingface.co/facebook/blenderbot-400M-distill) on the GTZAN dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1755
## 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: 1e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.1876 | 1.0 | 838 | 0.1622 |
| 0.149 | 2.0 | 1676 | 0.1604 |
| 0.1226 | 3.0 | 2514 | 0.1657 |
| 0.1066 | 4.0 | 3352 | 0.1708 |
| 0.0944 | 5.0 | 4190 | 0.1755 |
### Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
|