stanfordnlp/imdb
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How to use muhtasham/small-mlm-imdb-target-imdb with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-classification", model="muhtasham/small-mlm-imdb-target-imdb") # Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("muhtasham/small-mlm-imdb-target-imdb")
model = AutoModelForSequenceClassification.from_pretrained("muhtasham/small-mlm-imdb-target-imdb")This model is a fine-tuned version of muhtasham/small-mlm-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 |
|---|---|---|---|---|---|
| 0.315 | 0.64 | 500 | 0.1711 | 0.9310 | 0.9642 |
| 0.2248 | 1.28 | 1000 | 0.1385 | 0.9471 | 0.9728 |
| 0.1824 | 1.92 | 1500 | 0.1044 | 0.9610 | 0.9801 |
| 0.1326 | 2.56 | 2000 | 0.2382 | 0.9294 | 0.9634 |
| 0.1056 | 3.2 | 2500 | 0.5074 | 0.8698 | 0.9304 |
| 0.0804 | 3.84 | 3000 | 0.3145 | 0.9174 | 0.9569 |