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exala-e
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db_himp_4.2

Text Classification
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distilbert
Generated from Trainer
text-embeddings-inference
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  1. README.md +77 -0
  2. config.json +123 -0
  3. model.safetensors +3 -0
  4. runs/Jul10_21-46-08_4bf1c756ff9a/events.out.tfevents.1783719968.4bf1c756ff9a.15844.0 +3 -0
  5. runs/Jul10_22-12-36_4bf1c756ff9a/events.out.tfevents.1783721556.4bf1c756ff9a.25920.0 +3 -0
  6. training_args.bin +3 -0
README.md ADDED
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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: distilbert-base-uncased
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: db_himp_4.2
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # db_himp_4.2
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+
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+ This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.6417
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+ - Accuracy: 0.9284
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+ - F1 Weighted: 0.9278
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+ - F1 Macro: 0.9312
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+ - Precision Weighted: 0.9282
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+ - Recall Weighted: 0.9284
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+ - Precision Macro: 0.9293
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+ - Recall Macro: 0.9338
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2.5e-05
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+ - train_batch_size: 32
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+ - eval_batch_size: 64
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+ - seed: 42
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.98) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 0.1
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+ - num_epochs: 9
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+ - label_smoothing_factor: 0.05
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Weighted | F1 Macro | Precision Weighted | Recall Weighted | Precision Macro | Recall Macro |
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+ |:-------------:|:-----:|:-----:|:---------------:|:--------:|:-----------:|:--------:|:------------------:|:---------------:|:---------------:|:------------:|
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+ | 1.0224 | 1.0 | 1544 | 0.9326 | 0.8284 | 0.8256 | 0.8259 | 0.8307 | 0.8284 | 0.8315 | 0.8288 |
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+ | 0.7276 | 2.0 | 3088 | 0.7358 | 0.8947 | 0.8927 | 0.8963 | 0.8950 | 0.8947 | 0.8940 | 0.9019 |
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+ | 0.6030 | 3.0 | 4632 | 0.6847 | 0.9094 | 0.9085 | 0.9115 | 0.9098 | 0.9094 | 0.9102 | 0.9147 |
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+ | 0.5850 | 4.0 | 6176 | 0.6584 | 0.9202 | 0.9199 | 0.9231 | 0.9210 | 0.9202 | 0.9228 | 0.9246 |
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+ | 0.4994 | 5.0 | 7720 | 0.6502 | 0.9231 | 0.9224 | 0.9264 | 0.9234 | 0.9231 | 0.9244 | 0.9297 |
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+ | 0.4802 | 6.0 | 9264 | 0.6446 | 0.9260 | 0.9253 | 0.9287 | 0.9256 | 0.9260 | 0.9270 | 0.9312 |
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+ | 0.4585 | 7.0 | 10808 | 0.6499 | 0.9251 | 0.9244 | 0.9280 | 0.9257 | 0.9251 | 0.9268 | 0.9307 |
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+ | 0.4431 | 8.0 | 12352 | 0.6426 | 0.9273 | 0.9267 | 0.9302 | 0.9273 | 0.9273 | 0.9283 | 0.9330 |
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+ | 0.4204 | 9.0 | 13896 | 0.6417 | 0.9284 | 0.9278 | 0.9312 | 0.9282 | 0.9284 | 0.9293 | 0.9338 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 5.12.1
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+ - Pytorch 2.11.0+cu128
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+ - Datasets 4.0.0
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+ - Tokenizers 0.22.2
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+ "max_position_embeddings": 512,
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+ "model_type": "distilbert",
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