Instructions to use StaAhmed/Qa_01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use StaAhmed/Qa_01 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="StaAhmed/Qa_01")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("StaAhmed/Qa_01") model = AutoModelForQuestionAnswering.from_pretrained("StaAhmed/Qa_01") - Notebooks
- Google Colab
- Kaggle
Training in progress epoch 0
Browse files- README.md +8 -9
- config.json +23 -17
- merges.txt +0 -0
- special_tokens_map.json +49 -7
- tf_model.h5 +2 -2
- tokenizer.json +2 -2
- tokenizer_config.json +25 -24
- vocab.json +0 -0
README.md
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---
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license:
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base_model:
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tags:
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- generated_from_keras_callback
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model-index:
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# StaAhmed/Qa_01
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This model is a fine-tuned version of [
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It achieves the following results on the evaluation set:
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- Train Loss:
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- Epoch:
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': False, 'is_legacy_optimizer': False, 'learning_rate':
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- training_precision: float32
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### Training results
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| Train Loss | Epoch |
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| 0.3403 | 1 |
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### Framework versions
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- Transformers 4.35.2
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- TensorFlow 2.15.0
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- Datasets 2.
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- Tokenizers 0.15.1
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---
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license: cc-by-4.0
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base_model: deepset/roberta-base-squad2
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tags:
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- generated_from_keras_callback
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model-index:
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# StaAhmed/Qa_01
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This model is a fine-tuned version of [deepset/roberta-base-squad2](https://huggingface.co/deepset/roberta-base-squad2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 5.9782
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- Epoch: 0
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': False, 'is_legacy_optimizer': False, 'learning_rate': 0.001, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
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- training_precision: float32
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### Training results
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| Train Loss | Epoch |
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|:----------:|:-----:|
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| 5.9782 | 0 |
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### Framework versions
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- Transformers 4.35.2
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- TensorFlow 2.15.0
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- Datasets 2.17.0
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- Tokenizers 0.15.1
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config.json
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}
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"_name_or_path": "deepset/roberta-base-squad2",
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"architectures": [
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"RobertaForQuestionAnswering"
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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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"gradient_checkpointing": false,
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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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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"language": "english",
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 514,
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"model_type": "roberta",
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"name": "Roberta",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"transformers_version": "4.35.2",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 50265
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}
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merges.txt
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special_tokens_map.json
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}
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{
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"bos_token": {
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"content": "<s>",
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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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"cls_token": {
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"content": "<s>",
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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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"eos_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": true,
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"mask_token": {
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"content": "<mask>",
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"lstrip": true,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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"pad_token": {
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"content": "<pad>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"sep_token": {
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"lstrip": false,
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"rstrip": false,
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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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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:1f4850294261d5566dca62ddaa06100eb6f07dfdac1b859a16e1600d063a6e7e
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size 496513256
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tokenizer.json
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size 2108877
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tokenizer_config.json
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{
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"added_tokens_decoder": {
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"lstrip": false,
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"single_word": false,
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"special": true
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"1": {
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"lstrip": false,
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"single_word": false,
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"special": true
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"2": {
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"special": 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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},
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"bos_token": "
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"clean_up_tokenization_spaces": true,
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"cls_token": "
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"do_lower_case": false,
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{
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"add_prefix_space": false,
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"added_tokens_decoder": {
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"0": {
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"content": "<s>",
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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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"1": {
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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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"2": {
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"content": "</s>",
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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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"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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"50264": {
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"content": "<mask>",
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"lstrip": true,
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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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},
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"bos_token": "<s>",
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"clean_up_tokenization_spaces": true,
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"cls_token": "<s>",
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"do_lower_case": false,
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"eos_token": "</s>",
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"errors": "replace",
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"full_tokenizer_file": null,
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"mask_token": "<mask>",
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"model_max_length": 512,
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"tokenizer_class": "RobertaTokenizer",
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"trim_offsets": true,
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"unk_token": "<unk>"
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}
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vocab.json
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