End of training
Browse files- README.md +50 -0
- all_results.json +17 -0
- config.json +47 -0
- eval_results.json +12 -0
- model.safetensors +3 -0
- runs/Dec04_10-18-50_1261423ab883/events.out.tfevents.1701685157.1261423ab883.2501.0 +3 -0
- runs/Dec04_10-18-50_1261423ab883/events.out.tfevents.1701685476.1261423ab883.2501.1 +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +55 -0
- train_results.json +8 -0
- trainer_state.json +89 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
README.md
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---
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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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datasets:
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- conll2003
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model-index:
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- name: ner_model
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results: []
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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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# ner_model
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the conll2003 dataset.
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 3.0
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### Framework versions
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- Transformers 4.36.0.dev0
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- Pytorch 2.1.0+cu118
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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all_results.json
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{
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"epoch": 3.0,
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"eval_accuracy": 0.9877146528561972,
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"eval_f1": 0.9397145256087323,
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"eval_loss": 0.055851779878139496,
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"eval_precision": 0.9376675603217158,
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"eval_recall": 0.9417704476607203,
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"eval_runtime": 7.0625,
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"eval_samples": 3250,
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"eval_samples_per_second": 460.177,
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"eval_steps_per_second": 57.628,
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"train_loss": 0.044327347904964204,
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"train_runtime": 311.2643,
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"train_samples": 14041,
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"train_samples_per_second": 135.329,
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"train_steps_per_second": 16.925
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}
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config.json
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{
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"_name_or_path": "distilbert-base-uncased",
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"activation": "gelu",
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"architectures": [
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"DistilBertForTokenClassification"
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],
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"attention_dropout": 0.1,
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"dim": 768,
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"dropout": 0.1,
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"finetuning_task": "ner",
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"hidden_dim": 3072,
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"id2label": {
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"0": "O",
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"1": "B-PER",
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"2": "I-PER",
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"3": "B-ORG",
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"4": "I-ORG",
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"5": "B-LOC",
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"6": "I-LOC",
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"7": "B-MISC",
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"8": "I-MISC"
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},
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"initializer_range": 0.02,
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"label2id": {
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"B-LOC": 5,
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"B-MISC": 7,
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"B-ORG": 3,
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"B-PER": 1,
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"I-LOC": 6,
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"I-MISC": 8,
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"I-ORG": 4,
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"I-PER": 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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"n_heads": 12,
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"n_layers": 6,
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"pad_token_id": 0,
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"qa_dropout": 0.1,
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"seq_classif_dropout": 0.2,
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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": "4.36.0.dev0",
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"vocab_size": 30522
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}
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eval_results.json
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{
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"epoch": 3.0,
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"eval_accuracy": 0.9877146528561972,
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"eval_f1": 0.9397145256087323,
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"eval_loss": 0.055851779878139496,
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"eval_precision": 0.9376675603217158,
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"eval_recall": 0.9417704476607203,
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"eval_runtime": 7.0625,
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"eval_samples": 3250,
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"eval_samples_per_second": 460.177,
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"eval_steps_per_second": 57.628
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:73b49b372a7d4625a2ad7b5422e68f321560e0c5187572781660f59e92250f5c
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size 265491548
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runs/Dec04_10-18-50_1261423ab883/events.out.tfevents.1701685157.1261423ab883.2501.0
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version https://git-lfs.github.com/spec/v1
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runs/Dec04_10-18-50_1261423ab883/events.out.tfevents.1701685476.1261423ab883.2501.1
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version https://git-lfs.github.com/spec/v1
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special_tokens_map.json
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{
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"cls_token": "[CLS]",
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"mask_token": "[MASK]",
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"unk_token": "[UNK]"
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}
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tokenizer.json
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See raw diff
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tokenizer_config.json
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train_results.json
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trainer_state.json
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}
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training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0a07260d95fd4eb5e3b6cd7b3391b25472cfa0b15a613ca8e828a9e11bbcd89d
|
3 |
+
size 4728
|
vocab.txt
ADDED
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|