Training in progress epoch 0
Browse files- README.md +54 -0
- config.json +44 -0
- merges.txt +0 -0
- special_tokens_map.json +4 -0
- tf_model.h5 +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +17 -0
- vocab.json +0 -0
README.md
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---
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license: mit
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base_model: openai-gpt
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tags:
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- generated_from_keras_callback
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model-index:
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- name: Dave12121/chatFsentiment
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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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# Dave12121/chatFsentiment
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This model is a fine-tuned version of [openai-gpt](https://huggingface.co/openai-gpt) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.7472
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- Validation Loss: 0.9887
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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': '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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 123, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
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- training_precision: float32
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### Training results
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| Train Loss | Validation Loss | Epoch |
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|:----------:|:---------------:|:-----:|
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| 0.7472 | 0.9887 | 0 |
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### Framework versions
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- Transformers 4.35.0
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- TensorFlow 2.14.1
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- Datasets 2.14.6
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- Tokenizers 0.14.1
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config.json
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{
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"_name_or_path": "openai-gpt",
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"afn": "gelu",
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"architectures": [
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"OpenAIGPTForSequenceClassification"
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],
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"attn_pdrop": 0.1,
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"embd_pdrop": 0.1,
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"id2label": {
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"0": "negative",
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"1": "neutral",
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"2": "positive"
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},
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"initializer_range": 0.02,
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"label2id": {
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"negative": 0,
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"neutral": 1,
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"positive": 2
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},
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"layer_norm_epsilon": 1e-05,
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"model_type": "openai-gpt",
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"n_ctx": 512,
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"n_embd": 768,
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"n_head": 12,
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"n_layer": 12,
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"n_positions": 512,
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"n_special": 0,
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"predict_special_tokens": true,
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"problem_type": "multi_label_classification",
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"resid_pdrop": 0.1,
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"summary_activation": null,
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"summary_first_dropout": 0.1,
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"summary_proj_to_labels": true,
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"summary_type": "cls_index",
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"summary_use_proj": true,
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"task_specific_params": {
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"text-generation": {
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"do_sample": true,
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"max_length": 50
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}
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},
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"transformers_version": "4.35.0",
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"vocab_size": 40478
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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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"pad_token": "~",
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"unk_token": "<unk>"
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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:adac48d8eb8060efeb53788db207f001adf63a607096c573922dc608cbe20fc6
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size 466334448
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tokenizer.json
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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": "<unk>",
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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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"clean_up_tokenization_spaces": true,
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"model_max_length": 512,
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"pad_token": "~",
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"tokenizer_class": "OpenAIGPTTokenizer",
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"unk_token": "<unk>"
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}
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vocab.json
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