End of training
Browse files- README.md +13 -15
- model.safetensors +1 -1
- runs/Jan09_18-55-21_c50f821e5c9f/events.out.tfevents.1736448922.c50f821e5c9f.1900.3 +2 -2
- tokenizer.json +2 -16
- tokenizer_config.json +1 -1
README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model:
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tags:
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- generated_from_trainer
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metrics:
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- f1
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- accuracy
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model-index:
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- name: ModernBERT-hf-posts-classifier
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results: []
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# ModernBERT-hf-posts-classifier
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This model is a fine-tuned version of [
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- F1: 0.
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1
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| No log | 1.0 | 15 | 0.
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| No log | 2.0 | 30 | 0.
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| No log | 3.0 | 45 | 0.
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| No log | 4.0 | 60 | 0.
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| No log | 4.7018 | 70 | 0.
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### Framework versions
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---
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library_name: transformers
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license: apache-2.0
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base_model: answerdotai/ModernBERT-base
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tags:
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- generated_from_trainer
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model-index:
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- name: ModernBERT-hf-posts-classifier
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results: []
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# ModernBERT-hf-posts-classifier
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This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2372
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- Micro F1: 0.4251
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- Macro F1: 0.0459
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- Weighted F1: 0.2837
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Micro F1 | Macro F1 | Weighted F1 |
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|:-------------:|:------:|:----:|:---------------:|:--------:|:--------:|:-----------:|
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| No log | 1.0 | 15 | 0.2547 | 0.4621 | 0.0473 | 0.2926 |
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| No log | 2.0 | 30 | 0.2524 | 0.3676 | 0.0386 | 0.2377 |
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| No log | 3.0 | 45 | 0.2412 | 0.4291 | 0.0491 | 0.2895 |
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| No log | 4.0 | 60 | 0.2378 | 0.4291 | 0.0460 | 0.2846 |
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| No log | 4.7018 | 70 | 0.2372 | 0.4251 | 0.0459 | 0.2837 |
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### Framework versions
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model.safetensors
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runs/Jan09_18-55-21_c50f821e5c9f/events.out.tfevents.1736448922.c50f821e5c9f.1900.3
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tokenizer.json
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{
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"version": "1.0",
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"truncation":
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"padding": {
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"strategy": {
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"direction": "Right",
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tokenizer_config.json
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"input_ids",
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"attention_mask"
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],
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"model_max_length":
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"tokenizer_class": "PreTrainedTokenizerFast",
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"input_ids",
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"attention_mask"
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],
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"tokenizer_class": "PreTrainedTokenizerFast",
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