Training in progress, epoch 1
Browse files- README.md +90 -0
- added_tokens.json +3 -0
- all_results.json +17 -0
- config.json +46 -0
- eval_results.json +12 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +15 -0
- spm.model +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +58 -0
- train_results.json +8 -0
- trainer_state.json +3886 -0
- training_args.bin +3 -0
README.md
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---
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license: mit
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base_model: microsoft/deberta-v3-small
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tags:
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- generated_from_trainer
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datasets:
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- nbroad/company_names
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metrics:
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- precision
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- recall
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- f1
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- accuracy
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model-index:
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- name: deberta-v3-small-company-names
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results:
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- task:
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name: Token Classification
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type: token-classification
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dataset:
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name: nbroad/company_names
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type: nbroad/company_names
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metrics:
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- name: Precision
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type: precision
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value: 0.7687575810084907
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- name: Recall
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type: recall
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value: 0.7920906980896268
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- name: F1
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type: f1
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value: 0.780249736194161
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- name: Accuracy
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type: accuracy
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value: 0.9766189637193916
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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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# deberta-v3-small-company-names
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This model is a fine-tuned version of [microsoft/deberta-v3-small](https://huggingface.co/microsoft/deberta-v3-small) on the nbroad/company_names dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0707
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- Precision: 0.7688
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- Recall: 0.7921
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- F1: 0.7802
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- Accuracy: 0.9766
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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: 8e-05
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- train_batch_size: 48
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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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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 3.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| 0.0746 | 1.0 | 2126 | 0.0657 | 0.7415 | 0.7868 | 0.7635 | 0.9753 |
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| 0.0485 | 2.0 | 4252 | 0.0651 | 0.7631 | 0.7904 | 0.7765 | 0.9764 |
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| 0.044 | 3.0 | 6378 | 0.0707 | 0.7688 | 0.7921 | 0.7802 | 0.9766 |
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### Framework versions
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- Transformers 4.34.1
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- Pytorch 2.0.1+cu117
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- Datasets 2.16.1
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- Tokenizers 0.14.1
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added_tokens.json
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{
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"[MASK]": 128000
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}
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all_results.json
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{
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"epoch": 3.0,
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"eval_accuracy": 0.9766189637193916,
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"eval_f1": 0.780249736194161,
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"eval_loss": 0.07066146284341812,
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"eval_precision": 0.7687575810084907,
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"eval_recall": 0.7920906980896268,
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"eval_runtime": 9.3539,
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"eval_samples": 14160,
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"eval_samples_per_second": 1513.8,
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"eval_steps_per_second": 189.225,
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"train_loss": 0.06725984670200778,
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"train_runtime": 298.049,
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"train_samples": 102018,
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"train_samples_per_second": 1026.858,
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"train_steps_per_second": 21.399
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}
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config.json
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{
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"_name_or_path": "microsoft/deberta-v3-small",
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"architectures": [
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"DebertaV2ForTokenClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"finetuning_task": "ner",
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "O",
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"1": "B-ORG",
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"2": "I-ORG"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"B-ORG": 1,
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"I-ORG": 2,
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"O": 0
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},
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"layer_norm_eps": 1e-07,
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"max_position_embeddings": 512,
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"max_relative_positions": -1,
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"model_type": "deberta-v2",
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"norm_rel_ebd": "layer_norm",
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"num_attention_heads": 12,
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"num_hidden_layers": 6,
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"pad_token_id": 0,
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"pooler_dropout": 0,
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"pooler_hidden_act": "gelu",
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"pooler_hidden_size": 768,
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"pos_att_type": [
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"p2c",
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"c2p"
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],
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"position_biased_input": false,
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"position_buckets": 256,
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"relative_attention": true,
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"share_att_key": true,
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"torch_dtype": "float32",
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"transformers_version": "4.34.1",
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"type_vocab_size": 0,
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"vocab_size": 128100
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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": 0.9766189637193916,
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"eval_f1": 0.780249736194161,
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"eval_loss": 0.07066146284341812,
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"eval_precision": 0.7687575810084907,
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"eval_recall": 0.7920906980896268,
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"eval_runtime": 9.3539,
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"eval_samples": 14160,
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"eval_samples_per_second": 1513.8,
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"eval_steps_per_second": 189.225
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:5eb84817ac4a8647a830af4a80588a021daeee9c8150036f3a9c9c73f4faa66e
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size 565262061
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special_tokens_map.json
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{
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"bos_token": "[CLS]",
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"cls_token": "[CLS]",
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"eos_token": "[SEP]",
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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": {
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"content": "[UNK]",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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}
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}
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spm.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:c679fbf93643d19aab7ee10c0b99e460bdbc02fedf34b92b05af343b4af586fd
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size 2464616
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tokenizer.json
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The diff for this file is too large to render.
See raw diff
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tokenizer_config.json
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{
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"added_tokens_decoder": {
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"0": {
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"content": "[PAD]",
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| 5 |
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"lstrip": false,
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| 6 |
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"normalized": false,
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| 7 |
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"rstrip": false,
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| 8 |
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"single_word": false,
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| 9 |
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"special": true
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| 10 |
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},
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"1": {
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"content": "[CLS]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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| 18 |
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},
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"2": {
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"content": "[SEP]",
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"lstrip": false,
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| 22 |
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"normalized": false,
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| 23 |
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"rstrip": false,
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| 24 |
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"single_word": false,
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"special": true
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},
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"3": {
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"content": "[UNK]",
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"lstrip": false,
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| 30 |
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"normalized": true,
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| 31 |
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"rstrip": false,
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"single_word": false,
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| 33 |
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"special": true
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| 34 |
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},
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| 35 |
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"128000": {
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| 36 |
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"content": "[MASK]",
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| 37 |
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"lstrip": false,
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| 38 |
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"normalized": false,
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| 39 |
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"rstrip": false,
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| 40 |
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"single_word": false,
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| 41 |
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"special": true
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| 42 |
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}
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| 43 |
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},
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| 44 |
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"bos_token": "[CLS]",
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| 45 |
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"clean_up_tokenization_spaces": true,
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| 46 |
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"cls_token": "[CLS]",
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| 47 |
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"do_lower_case": false,
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| 48 |
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"eos_token": "[SEP]",
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| 49 |
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"mask_token": "[MASK]",
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| 50 |
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"model_max_length": 1000000000000000019884624838656,
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| 51 |
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"pad_token": "[PAD]",
|
| 52 |
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"sep_token": "[SEP]",
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| 53 |
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"sp_model_kwargs": {},
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| 54 |
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"split_by_punct": false,
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| 55 |
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"tokenizer_class": "DebertaV2Tokenizer",
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| 56 |
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"unk_token": "[UNK]",
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| 57 |
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"vocab_type": "spm"
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| 58 |
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}
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train_results.json
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{
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"epoch": 3.0,
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"train_loss": 0.06725984670200778,
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"train_runtime": 298.049,
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| 5 |
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"train_samples": 102018,
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| 6 |
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"train_samples_per_second": 1026.858,
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| 7 |
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"train_steps_per_second": 21.399
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}
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trainer_state.json
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@@ -0,0 +1,3886 @@
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"epoch": 3.0,
|
| 3871 |
+
"step": 6378,
|
| 3872 |
+
"total_flos": 6259843525582944.0,
|
| 3873 |
+
"train_loss": 0.06725984670200778,
|
| 3874 |
+
"train_runtime": 298.049,
|
| 3875 |
+
"train_samples_per_second": 1026.858,
|
| 3876 |
+
"train_steps_per_second": 21.399
|
| 3877 |
+
}
|
| 3878 |
+
],
|
| 3879 |
+
"logging_steps": 10,
|
| 3880 |
+
"max_steps": 6378,
|
| 3881 |
+
"num_train_epochs": 3,
|
| 3882 |
+
"save_steps": 500,
|
| 3883 |
+
"total_flos": 6259843525582944.0,
|
| 3884 |
+
"trial_name": null,
|
| 3885 |
+
"trial_params": null
|
| 3886 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7c221d274ca4cbf68d7232f401fcb16cb6fd4e854e3c4b2912268e65869e08b4
|
| 3 |
+
size 4091
|