stanfordnlp/imdb
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How to use muhtasham/finetuned-self_mlm_small with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-classification", model="muhtasham/finetuned-self_mlm_small") # Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("muhtasham/finetuned-self_mlm_small")
model = AutoModelForSequenceClassification.from_pretrained("muhtasham/finetuned-self_mlm_small")This model is a fine-tuned version of muhtasham/bert-small-mlm-finetuned-imdb on the imdb dataset. It achieves the following results on the evaluation set:
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The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.2834 | 1.28 | 500 | 0.2254 | 0.9150 | 0.9556 |
| 0.1683 | 2.56 | 1000 | 0.3738 | 0.8694 | 0.9301 |
| 0.1069 | 3.84 | 1500 | 0.2102 | 0.9354 | 0.9666 |
| 0.0651 | 5.12 | 2000 | 0.2278 | 0.9446 | 0.9715 |
| 0.0412 | 6.39 | 2500 | 0.4061 | 0.9156 | 0.9559 |
| 0.0316 | 7.67 | 3000 | 0.4371 | 0.9110 | 0.9534 |
| 0.0219 | 8.95 | 3500 | 0.3759 | 0.9372 | 0.9676 |