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Upload TFBlenderbotForConditionalGeneration
Browse files- README.md +53 -0
- config.json +63 -0
- generation_config.json +15 -0
- tf_model.h5 +3 -0
README.md
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---
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license: apache-2.0
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base_model: facebook/blenderbot-400M-distill
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tags:
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- generated_from_keras_callback
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model-index:
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- name: Blenderbot_ChatBot
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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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# Blenderbot_ChatBot
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This model is a fine-tuned version of [facebook/blenderbot-400M-distill](https://huggingface.co/facebook/blenderbot-400M-distill) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 3.4332
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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': True, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'transformers.optimization_tf', 'class_name': 'WarmUp', 'config': {'initial_learning_rate': 6e-05, 'decay_schedule_fn': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 6e-05, 'decay_steps': 2749, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'warmup_steps': 1000, 'power': 1.0, 'name': None}, 'registered_name': 'WarmUp'}, '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 | Epoch |
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|:----------:|:-----:|
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| 3.4332 | 0 |
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### Framework versions
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- Transformers 4.33.2
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- TensorFlow 2.13.0
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- Datasets 2.14.5
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- Tokenizers 0.13.3
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config.json
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{
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"_name_or_path": "facebook/blenderbot-400M-distill",
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"activation_dropout": 0.0,
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"activation_function": "gelu",
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"add_bias_logits": false,
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"add_final_layer_norm": true,
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"architectures": [
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"BlenderbotForConditionalGeneration"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"classif_dropout": 0.0,
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"classifier_dropout": 0.0,
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"d_model": 1280,
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"decoder_attention_heads": 32,
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"decoder_ffn_dim": 5120,
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"decoder_layerdrop": 0.0,
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"decoder_layers": 12,
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"decoder_start_token_id": 1,
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"do_blenderbot_90_layernorm": true,
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"dropout": 0.1,
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"encoder_attention_heads": 32,
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"encoder_ffn_dim": 5120,
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"encoder_layerdrop": 0.0,
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"encoder_layers": 2,
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"encoder_no_repeat_ngram_size": 3,
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"eos_token_id": 2,
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"extra_layer_norm": false,
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"extra_pos_embeddings": 0,
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"force_bos_token_to_be_generated": false,
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"forced_eos_token_id": 2,
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"gradient_checkpointing": false,
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1",
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"2": "LABEL_2"
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},
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"init_std": 0.02,
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"is_encoder_decoder": true,
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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1,
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"LABEL_2": 2
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},
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"layernorm_variant": "prelayernorm",
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"length_penalty": 0.65,
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"max_length": 60,
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"max_position_embeddings": 128,
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"min_length": 20,
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"model_type": "blenderbot",
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"no_repeat_ngram_size": 3,
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"normalize_before": true,
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"normalize_embedding": false,
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"num_beams": 10,
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"num_hidden_layers": 2,
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"pad_token_id": 0,
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"scale_embedding": true,
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"static_position_embeddings": false,
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"transformers_version": "4.33.2",
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"unk_token_id": 3,
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"use_cache": true,
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"vocab_size": 8008
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 1,
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"decoder_start_token_id": 1,
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"encoder_no_repeat_ngram_size": 3,
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"eos_token_id": 2,
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"forced_eos_token_id": 2,
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"length_penalty": 0.65,
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"max_length": 60,
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"min_length": 20,
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"no_repeat_ngram_size": 3,
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"num_beams": 10,
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"pad_token_id": 0,
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"transformers_version": "4.33.2"
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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:c0bbe036f1b6d1466f21c850f46d871c6c367a870fc3e7ac1e88fec6b8676479
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size 1459650480
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