Instructions to use VSPuzzler/SemevalClickbaitSpoilingNew with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VSPuzzler/SemevalClickbaitSpoilingNew with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="VSPuzzler/SemevalClickbaitSpoilingNew")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("VSPuzzler/SemevalClickbaitSpoilingNew") model = AutoModelForSequenceClassification.from_pretrained("VSPuzzler/SemevalClickbaitSpoilingNew") - Notebooks
- Google Colab
- Kaggle
Upload with huggingface_hub
Browse files- config.json +1 -1
- optimizer.pt +1 -1
- pytorch_model.bin +1 -1
- rng_state.pth +1 -1
- scheduler.pt +1 -1
- trainer_state.json +694 -34
- training_args.bin +2 -2
config.json
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"sinusoidal_pos_embds": false,
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"tie_weights_": true,
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"torch_dtype": "float32",
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"transformers_version": "4.
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"vocab_size": 30522
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}
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"sinusoidal_pos_embds": false,
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"tie_weights_": true,
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"torch_dtype": "float32",
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"transformers_version": "4.22.1",
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"vocab_size": 30522
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}
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optimizer.pt
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size 535706209
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version https://git-lfs.github.com/spec/v1
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size 535706209
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pytorch_model.bin
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size 267857393
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rng_state.pth
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size 14503
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size 14503
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scheduler.pt
CHANGED
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version https://git-lfs.github.com/spec/v1
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size 623
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oid sha256:1b5c9ed8372e0eec740369001de73734db6b5b259af9ae69a359108a1dd0fd17
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size 623
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trainer_state.json
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"best_model_checkpoint":
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"epoch": 15.0,
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"global_step": 3000,
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"log_history": [
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"step": 200
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"step": 400
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{
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"epoch": 3.0,
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"step": 600
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{
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"step": 800
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{
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"step": 1000
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},
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| 40 |
{
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"step": 1200
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},
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{
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"step": 1400
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{
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"step": 1600
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{
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"step": 1800
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{
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"epoch": 10.0,
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"step": 2000
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{
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"epoch": 11.0,
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"step": 2200
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},
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{
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"epoch": 12.0,
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-
"learning_rate":
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-
"loss": 0.
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"step": 2400
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},
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{
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"epoch": 13.0,
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| 84 |
-
"learning_rate":
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| 85 |
-
"loss": 0.
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| 86 |
"step": 2600
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},
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{
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"epoch": 14.0,
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| 90 |
-
"learning_rate":
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-
"loss": 0.
|
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training_args.bin
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