Model save
Browse files- README.md +71 -0
- added_tokens.json +3 -0
- all_results.json +17 -0
- config.json +46 -0
- eval_results.json +12 -0
- model.safetensors +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 +382 -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-base
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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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- f1
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- precision
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- recall
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model-index:
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- name: deberta-v3-base-orgs-v2
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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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# deberta-v3-base-orgs-v2
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This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Accuracy: 0.9632
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- F1: 0.7927
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- Loss: 0.1186
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- Precision: 0.8127
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- Recall: 0.7735
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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: 0.0003
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- train_batch_size: 256
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- eval_batch_size: 256
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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_steps: 20
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- num_epochs: 3.0
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Accuracy | F1 | Validation Loss | Precision | Recall |
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|:-------------:|:-----:|:----:|:--------:|:------:|:---------------:|:---------:|:------:|
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| 0.0706 | 0.7 | 600 | 0.9602 | 0.7690 | 0.1138 | 0.7590 | 0.7793 |
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| 0.0526 | 1.4 | 1200 | 0.9617 | 0.7870 | 0.1113 | 0.7942 | 0.7799 |
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| 0.0409 | 2.11 | 1800 | 0.9627 | 0.7875 | 0.1125 | 0.7911 | 0.7839 |
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| 0.0376 | 2.81 | 2400 | 0.9632 | 0.7927 | 0.1186 | 0.8127 | 0.7735 |
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0a0+32f93b1
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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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
ADDED
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{
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"epoch": 3.0,
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"eval_accuracy": 0.9627981870229008,
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"eval_f1": 0.7875191815856777,
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"eval_loss": 0.12025153636932373,
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"eval_precision": 0.8050617025726835,
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"eval_recall": 0.7707248698438126,
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"eval_runtime": 3.4859,
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"eval_samples": 3000,
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"eval_samples_per_second": 860.608,
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"eval_steps_per_second": 3.442,
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"train_loss": 0.056466960860507065,
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"train_runtime": 473.6102,
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"train_samples": 109424,
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"train_samples_per_second": 693.127,
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"train_steps_per_second": 5.416
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}
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config.json
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{
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"_name_or_path": "microsoft/deberta-v3-base",
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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": 12,
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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": "4.35.2",
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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": 0.9627981870229008,
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"eval_f1": 0.7875191815856777,
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"eval_loss": 0.12025153636932373,
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"eval_precision": 0.8050617025726835,
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"eval_recall": 0.7707248698438126,
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"eval_runtime": 3.4859,
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"eval_samples": 3000,
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"eval_samples_per_second": 860.608,
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"eval_steps_per_second": 3.442
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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 sha256:33e3414be3d3106da0080167cdaba17c9bef17ad636ab5438c5ce8d273428f07
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size 735359804
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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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"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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},
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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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},
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"2": {
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"content": "[SEP]",
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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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},
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"3": {
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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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"special": true
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},
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"128000": {
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"content": "[MASK]",
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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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}
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},
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"bos_token": "[CLS]",
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"clean_up_tokenization_spaces": true,
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"cls_token": "[CLS]",
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"do_lower_case": false,
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"eos_token": "[SEP]",
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"mask_token": "[MASK]",
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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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"sp_model_kwargs": {},
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"split_by_punct": false,
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"tokenizer_class": "DebertaV2Tokenizer",
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"unk_token": "[UNK]",
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"vocab_type": "spm"
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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": 0.056466960860507065,
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+
"train_runtime": 473.6102,
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+
"train_samples": 109424,
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"train_samples_per_second": 693.127,
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"train_steps_per_second": 5.416
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}
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trainer_state.json
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training_args.bin
ADDED
@@ -0,0 +1,3 @@
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1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
+
oid sha256:f8477dc023ec1022bcc64d9971312e6e9e0f93be242ffa235784eb729a3626e4
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3 |
+
size 4600
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