stanfordnlp/imdb
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How to use muhtasham/base-mlm-imdb-target-imdb with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-classification", model="muhtasham/base-mlm-imdb-target-imdb") # Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("muhtasham/base-mlm-imdb-target-imdb")
model = AutoModelForSequenceClassification.from_pretrained("muhtasham/base-mlm-imdb-target-imdb")This model is a fine-tuned version of muhtasham/base-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 |
|---|---|---|---|---|---|
| 0.2453 | 0.64 | 500 | 0.1892 | 0.9334 | 0.9656 |
| 0.1764 | 1.28 | 1000 | 0.1267 | 0.9581 | 0.9786 |
| 0.117 | 1.92 | 1500 | 0.1926 | 0.9290 | 0.9632 |
| 0.0727 | 2.56 | 2000 | 0.3109 | 0.9182 | 0.9574 |
| 0.0665 | 3.2 | 2500 | 0.4659 | 0.8918 | 0.9428 |