Instructions to use LexFerrinson/FirulaiModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LexFerrinson/FirulaiModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="LexFerrinson/FirulaiModel")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("LexFerrinson/FirulaiModel") model = AutoModelForTokenClassification.from_pretrained("LexFerrinson/FirulaiModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 85649a2
Training in progress epoch 0
Browse files- README.md +7 -7
- config.json +5 -3
- tf_model.h5 +2 -2
README.md
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss:
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- Validation Loss: 0.
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- Train Precision: 0.
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- Train Recall: 0.
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- Train F1: 0.
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- Train Accuracy: 0.
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- Epoch: 0
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## Model description
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| Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
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|:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
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### Framework versions
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 1.1023
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- Validation Loss: 0.9623
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- Train Precision: 0.25
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- Train Recall: 0.5
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- Train F1: 0.3333
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- Train Accuracy: 0.7143
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- Epoch: 0
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## Model description
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| Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
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|:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
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| 1.1023 | 0.9623 | 0.25 | 0.5 | 0.3333 | 0.7143 | 0 |
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### Framework versions
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config.json
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"hidden_dim": 3072,
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"id2label": {
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"0": "O",
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"1": "
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"initializer_range": 0.02,
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"label2id": {
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"
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"max_position_embeddings": 512,
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"model_type": "distilbert",
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"hidden_dim": 3072,
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"id2label": {
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"0": "O",
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"1": "B-technology",
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"2": "I-technology"
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},
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"initializer_range": 0.02,
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"label2id": {
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"B-technology": 1,
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"I-technology": 2,
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"O": 0
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},
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"max_position_embeddings": 512,
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"model_type": "distilbert",
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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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version https://git-lfs.github.com/spec/v1
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oid sha256:e29c757ddfeeb174f93fa8c76e703ba28349120b3b387403ce62bf3e16e82a47
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size 265587984
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