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distillbert-base-sst-myers-briggs-mixed-classifier

Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Model card Files
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Files changed (6) hide show
  1. README.md +63 -0
  2. model.safetensors +1 -1
  3. special_tokens_map.json +37 -0
  4. tokenizer.json +0 -0
  5. tokenizer_config.json +65 -0
  6. vocab.txt +0 -0
README.md ADDED
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+ ---
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+ library_name: transformers
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+ base_model: jtatman/distillbert-base-sst-myers-briggs-description-classifier
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: distillbert-base-sst-myers-briggs-mixed-classifier
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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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+ # distillbert-base-sst-myers-briggs-mixed-classifier
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+
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+ This model is a fine-tuned version of [jtatman/distillbert-base-sst-myers-briggs-description-classifier](https://huggingface.co/jtatman/distillbert-base-sst-myers-briggs-description-classifier) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.4142
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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: 5e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 4
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+ - seed: 42
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+ - optimizer: Use adamw_torch with betas=(0.9,0.999) 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: 500
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+ - num_epochs: 20
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:-----:|:---------------:|
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+ | 0.5989 | 1.0 | 3000 | 0.4142 |
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+ | 0.1608 | 2.0 | 6000 | 0.4180 |
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+ | 0.4601 | 3.0 | 9000 | 0.4909 |
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+ | 0.2462 | 4.0 | 12000 | 0.4533 |
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+ | 0.3364 | 5.0 | 15000 | 0.6565 |
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+ | 0.0029 | 6.0 | 18000 | 0.6252 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.47.1
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+ - Pytorch 2.5.1+cu121
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+ - Datasets 3.2.0
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+ - Tokenizers 0.21.0
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+ }
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+ }
tokenizer.json ADDED
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tokenizer_config.json ADDED
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+ {
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+ "normalized": false,
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+ "special": true
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+ }
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+ },
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+ "clean_up_tokenization_spaces": true,
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+ "cls_token": "[CLS]",
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+ "do_basic_tokenize": true,
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+ "do_lower_case": true,
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+ "extra_special_tokens": {},
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+ "mask_token": "[MASK]",
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+ "padding_side": "right",
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+ "strip_accents": null,
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+ "tokenize_chinese_chars": true,
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+ "tokenizer_class": "DistilBertTokenizer",
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+ "truncation_side": "right",
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+ "truncation_strategy": "longest_first",
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+ "unk_token": "[UNK]"
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+ }
vocab.txt ADDED
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