Initial Commit
Browse files- README.md +61 -31
- config.json +13 -20
- eval_result_ner.json +1 -1
- model.safetensors +2 -2
- training_args.bin +1 -1
README.md
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---
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base_model: haryoaw/scenario-TCR-NER_data-univner_half
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library_name: transformers
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license: mit
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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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tags:
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- generated_from_trainer
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model-index:
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- name: scenario-kd-scr-ner-full_data-univner_full55
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results: []
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This model is a fine-tuned version of [haryoaw/scenario-TCR-NER_data-univner_half](https://huggingface.co/haryoaw/scenario-TCR-NER_data-univner_half) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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- Precision: 0.
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- Recall: 0.
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- F1: 0.
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- Accuracy: 0.
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1
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### Framework versions
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---
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library_name: transformers
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license: mit
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base_model: haryoaw/scenario-TCR-NER_data-univner_half
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tags:
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- generated_from_trainer
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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: scenario-kd-scr-ner-full_data-univner_full55
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results: []
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This model is a fine-tuned version of [haryoaw/scenario-TCR-NER_data-univner_half](https://huggingface.co/haryoaw/scenario-TCR-NER_data-univner_half) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.6332
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- Precision: 0.4469
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- Recall: 0.3758
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- F1: 0.4083
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- Accuracy: 0.9390
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## Model description
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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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| 2.9172 | 0.5828 | 500 | 2.8507 | 0.2157 | 0.0452 | 0.0747 | 0.9231 |
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| 2.2157 | 1.1655 | 1000 | 2.5207 | 0.2360 | 0.1134 | 0.1532 | 0.9230 |
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| 1.9564 | 1.7483 | 1500 | 2.5233 | 0.1706 | 0.1749 | 0.1727 | 0.9128 |
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| 1.7543 | 2.3310 | 2000 | 2.4414 | 0.2175 | 0.2244 | 0.2209 | 0.9157 |
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| 1.6286 | 2.9138 | 2500 | 2.2528 | 0.2500 | 0.2336 | 0.2415 | 0.9223 |
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| 1.4766 | 3.4965 | 3000 | 2.0896 | 0.2944 | 0.2241 | 0.2545 | 0.9279 |
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| 1.398 | 4.0793 | 3500 | 2.0471 | 0.3335 | 0.2441 | 0.2819 | 0.9303 |
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| 1.2907 | 4.6620 | 4000 | 1.9739 | 0.2985 | 0.2568 | 0.2761 | 0.9294 |
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| 1.2065 | 5.2448 | 4500 | 1.8564 | 0.3685 | 0.2424 | 0.2924 | 0.9344 |
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| 1.1392 | 5.8275 | 5000 | 2.1380 | 0.2515 | 0.3037 | 0.2751 | 0.9172 |
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| 1.0459 | 6.4103 | 5500 | 1.9090 | 0.3426 | 0.2819 | 0.3093 | 0.9320 |
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| 0.9973 | 6.9930 | 6000 | 1.8167 | 0.3556 | 0.3015 | 0.3263 | 0.9350 |
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| 0.9106 | 7.5758 | 6500 | 1.8701 | 0.3736 | 0.2884 | 0.3255 | 0.9326 |
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| 0.8843 | 8.1585 | 7000 | 1.8193 | 0.3618 | 0.3219 | 0.3407 | 0.9345 |
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| 0.8329 | 8.7413 | 7500 | 1.8722 | 0.3634 | 0.3378 | 0.3501 | 0.9305 |
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| 0.784 | 9.3240 | 8000 | 1.7434 | 0.4139 | 0.3140 | 0.3571 | 0.9381 |
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| 0.7606 | 9.9068 | 8500 | 1.7787 | 0.4143 | 0.3147 | 0.3577 | 0.9363 |
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| 0.7111 | 10.4895 | 9000 | 1.8461 | 0.3518 | 0.3292 | 0.3401 | 0.9315 |
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| 0.6894 | 11.0723 | 9500 | 1.7537 | 0.3635 | 0.3327 | 0.3474 | 0.9351 |
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| 0.6543 | 11.6550 | 10000 | 1.7565 | 0.3779 | 0.3506 | 0.3637 | 0.9347 |
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| 0.6429 | 12.2378 | 10500 | 1.8134 | 0.3769 | 0.3496 | 0.3627 | 0.9323 |
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| 0.6084 | 12.8205 | 11000 | 1.8020 | 0.3757 | 0.3740 | 0.3748 | 0.9320 |
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| 0.5799 | 13.4033 | 11500 | 1.7080 | 0.4119 | 0.3447 | 0.3753 | 0.9374 |
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| 0.5742 | 13.9860 | 12000 | 1.7454 | 0.3963 | 0.3668 | 0.3809 | 0.9356 |
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| 0.5467 | 14.5688 | 12500 | 1.8019 | 0.3832 | 0.3748 | 0.3790 | 0.9322 |
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| 0.5327 | 15.1515 | 13000 | 1.8784 | 0.3599 | 0.3774 | 0.3685 | 0.9275 |
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| 0.5207 | 15.7343 | 13500 | 1.7905 | 0.3977 | 0.3760 | 0.3865 | 0.9336 |
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| 0.5047 | 16.3170 | 14000 | 1.6909 | 0.4336 | 0.3606 | 0.3937 | 0.9377 |
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| 0.4911 | 16.8998 | 14500 | 1.7464 | 0.3951 | 0.3780 | 0.3864 | 0.9342 |
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| 0.4802 | 17.4825 | 15000 | 1.7247 | 0.4230 | 0.3738 | 0.3969 | 0.9365 |
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| 0.4729 | 18.0653 | 15500 | 1.6929 | 0.4307 | 0.3639 | 0.3945 | 0.9379 |
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| 0.4607 | 18.6480 | 16000 | 1.6395 | 0.4493 | 0.3503 | 0.3937 | 0.9404 |
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| 0.449 | 19.2308 | 16500 | 1.7051 | 0.4149 | 0.3766 | 0.3948 | 0.9362 |
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| 0.4402 | 19.8135 | 17000 | 1.7664 | 0.4024 | 0.3779 | 0.3898 | 0.9318 |
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| 0.4337 | 20.3963 | 17500 | 1.6884 | 0.4475 | 0.3689 | 0.4044 | 0.9386 |
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| 0.4272 | 20.9790 | 18000 | 1.6995 | 0.4209 | 0.3841 | 0.4017 | 0.9360 |
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| 0.4162 | 21.5618 | 18500 | 1.6522 | 0.4428 | 0.3668 | 0.4012 | 0.9387 |
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| 0.4114 | 22.1445 | 19000 | 1.6957 | 0.4082 | 0.3797 | 0.3935 | 0.9356 |
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| 0.4087 | 22.7273 | 19500 | 1.6728 | 0.4323 | 0.3656 | 0.3962 | 0.9377 |
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| 0.4008 | 23.3100 | 20000 | 1.6749 | 0.4287 | 0.3598 | 0.3913 | 0.9368 |
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| 0.394 | 23.8928 | 20500 | 1.6745 | 0.4266 | 0.3640 | 0.3928 | 0.9373 |
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| 0.3887 | 24.4755 | 21000 | 1.6553 | 0.4358 | 0.3666 | 0.3982 | 0.9386 |
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| 0.3876 | 25.0583 | 21500 | 1.6904 | 0.4190 | 0.3841 | 0.4008 | 0.9363 |
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| 0.3819 | 25.6410 | 22000 | 1.6581 | 0.4360 | 0.3761 | 0.4039 | 0.9372 |
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| 0.3776 | 26.2238 | 22500 | 1.6192 | 0.4595 | 0.3620 | 0.4050 | 0.9401 |
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| 0.3767 | 26.8065 | 23000 | 1.6383 | 0.4453 | 0.3796 | 0.4098 | 0.9386 |
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| 0.3738 | 27.3893 | 23500 | 1.6327 | 0.4517 | 0.3745 | 0.4095 | 0.9396 |
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| 0.3671 | 27.9720 | 24000 | 1.6605 | 0.4399 | 0.3763 | 0.4056 | 0.9378 |
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| 0.3694 | 28.5548 | 24500 | 1.6160 | 0.4554 | 0.3744 | 0.4110 | 0.9402 |
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| 0.3659 | 29.1375 | 25000 | 1.6376 | 0.4419 | 0.3734 | 0.4048 | 0.9383 |
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| 0.3637 | 29.7203 | 25500 | 1.6332 | 0.4469 | 0.3758 | 0.4083 | 0.9390 |
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### Framework versions
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config.json
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{
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"_name_or_path": "haryoaw/scenario-TCR-NER_data-univner_half",
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"architectures": [
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"
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"attention_probs_dropout_prob": 0.1,
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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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"LABEL_5": 5,
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"LABEL_6": 6
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"layer_norm_eps": 1e-
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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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"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": "4.44.2",
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"type_vocab_size":
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}
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{
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"_name_or_path": "haryoaw/scenario-TCR-NER_data-univner_half",
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"architectures": [
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"XLMRobertaForTokenClassificationKD"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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"classifier_dropout": null,
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"eos_token_id": 2,
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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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"LABEL_5": 5,
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"LABEL_6": 6
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},
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 514,
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"model_type": "xlm-roberta",
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"num_attention_heads": 12,
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"num_hidden_layers": 6,
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"output_past": true,
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.44.2",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 250002
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}
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eval_result_ner.json
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{"ceb_gja": {"precision": 0.
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{"ceb_gja": {"precision": 0.23529411764705882, "recall": 0.16326530612244897, "f1": 0.19277108433734938, "accuracy": 0.949034749034749}, "en_pud": {"precision": 0.463768115942029, "recall": 0.32744186046511625, "f1": 0.38386041439476554, "accuracy": 0.9444654325651681}, "de_pud": {"precision": 0.11754966887417219, "recall": 0.136669874879692, "f1": 0.12639074321317312, "accuracy": 0.8763771037457222}, "pt_pud": {"precision": 0.2815126050420168, "recall": 0.12192902638762511, "f1": 0.17015873015873018, "accuracy": 0.9299782116460887}, "ru_pud": {"precision": 0.013478818998716302, "recall": 0.02027027027027027, "f1": 0.016191210485736313, "accuracy": 0.7590803409971584}, "sv_pud": {"precision": 0.18225039619651348, "recall": 0.11175898931000972, "f1": 0.13855421686746988, "accuracy": 0.9083665338645418}, "tl_trg": {"precision": 0.14285714285714285, "recall": 0.21739130434782608, "f1": 0.17241379310344826, "accuracy": 0.9277929155313351}, "tl_ugnayan": {"precision": 0.02127659574468085, "recall": 0.030303030303030304, "f1": 0.024999999999999998, "accuracy": 0.9115770282588879}, "zh_gsd": {"precision": 0.49931224209078406, "recall": 0.47327249022164275, "f1": 0.4859437751004016, "accuracy": 0.9318181818181818}, "zh_gsdsimp": {"precision": 0.5028089887640449, "recall": 0.4692005242463958, "f1": 0.48542372881355933, "accuracy": 0.9330669330669331}, "hr_set": {"precision": 0.7071376011773363, "recall": 0.68496079828938, "f1": 0.6958725561187545, "accuracy": 0.9659521846661171}, "da_ddt": {"precision": 0.23552123552123552, "recall": 0.13646532438478748, "f1": 0.17280453257790368, "accuracy": 0.9291629252718747}, "en_ewt": {"precision": 0.58675799086758, "recall": 0.4724264705882353, "f1": 0.5234215885947047, "accuracy": 0.9562895963660996}, "pt_bosque": {"precision": 0.22266401590457258, "recall": 0.09218106995884774, "f1": 0.13038416763678695, "accuracy": 0.921424431241849}, "sr_set": {"precision": 0.6893453145057766, "recall": 0.6340023612750886, "f1": 0.6605166051660517, "accuracy": 0.9507923999649768}, "sk_snk": {"precision": 0.1445966514459665, "recall": 0.10382513661202186, "f1": 0.12086513994910941, "accuracy": 0.863536432160804}, "sv_talbanken": {"precision": 0.0449438202247191, "recall": 0.10204081632653061, "f1": 0.062402496099843996, "accuracy": 0.95499828237719}}
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model.safetensors
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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size 5304
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version https://git-lfs.github.com/spec/v1
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