metadata
library_name: transformers
license: apache-2.0
base_model: lxyuan/distilbert-base-multilingual-cased-sentiments-student
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: my_model_1000
results: []
my_model_1000
This model is a fine-tuned version of lxyuan/distilbert-base-multilingual-cased-sentiments-student on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3065
- Accuracy: 0.9667
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: 16
- eval_batch_size: 16
- 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 | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 30 | 0.3535 | 0.9667 |
| No log | 2.0 | 60 | 0.4795 | 0.9333 |
| No log | 3.0 | 90 | 0.3092 | 0.9667 |
| No log | 4.0 | 120 | 0.3065 | 0.9667 |
| No log | 5.0 | 150 | 0.3179 | 0.9667 |
| No log | 6.0 | 180 | 0.3118 | 0.9667 |
| No log | 7.0 | 210 | 0.3148 | 0.9667 |
| No log | 8.0 | 240 | 0.3161 | 0.9667 |
| No log | 9.0 | 270 | 0.3164 | 0.9667 |
| No log | 10.0 | 300 | 0.3163 | 0.9667 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1