Training in progress epoch 0
Browse files- .gitattributes +1 -0
- README.md +56 -0
- added_tokens.json +3 -0
- config.json +54 -0
- special_tokens_map.json +15 -0
- spm.model +3 -0
- tf_model.h5 +3 -0
- tokenizer.json +3 -0
- tokenizer_config.json +58 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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license: mit
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base_model: microsoft/mdeberta-v3-base
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tags:
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- generated_from_keras_callback
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model-index:
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- name: khadija69/debertav3_ASE_kgl_BIES1
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results: []
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---
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<!-- This model card has been generated automatically according to the information Keras had access to. You should
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probably proofread and complete it, then remove this comment. -->
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# khadija69/debertav3_ASE_kgl_BIES1
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This model is a fine-tuned version of [microsoft/mdeberta-v3-base](https://huggingface.co/microsoft/mdeberta-v3-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: nan
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- Train Accuracy: 0.0738
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- Validation Loss: nan
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- Validation Accuracy: 0.0721
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- Epoch: 0
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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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- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 1e-05, 'decay_steps': 800, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
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- training_precision: float32
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### Training results
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| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
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|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
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| nan | 0.0738 | nan | 0.0721 | 0 |
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### Framework versions
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- Transformers 4.41.2
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- TensorFlow 2.15.0
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- Datasets 2.19.2
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- Tokenizers 0.19.1
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added_tokens.json
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{
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"[MASK]": 250101
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}
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config.json
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{
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"_name_or_path": "microsoft/mdeberta-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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"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": "B-Skill",
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"1": "I-Skill",
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"2": "E-Skill",
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"3": "S-Skill",
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"4": "B-O",
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"5": "I-O",
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"6": "E-O",
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"7": "S-O"
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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-O": 4,
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"B-Skill": 0,
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"E-O": 6,
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"E-Skill": 2,
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"I-O": 5,
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"I-Skill": 1,
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"S-O": 7,
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"S-Skill": 3
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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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"transformers_version": "4.41.2",
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"type_vocab_size": 0,
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"vocab_size": 251000
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}
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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 sha256:13c8d666d62a7bc4ac8f040aab68e942c861f93303156cc28f5c7e885d86d6e3
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size 4305025
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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:256181934e30517a935f59eab3b004e60c00cb3d3513f7a4b27c7a17b2422b3b
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size 1113185960
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tokenizer.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:5e26ec8cd2234df8edcc6e8c207b66b3162360f9fdc46ee4526a440d0d9d0bb9
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size 16331374
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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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},
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"2": {
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"content": "[SEP]",
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},
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"3": {
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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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"250101": {
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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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