Training in progress, epoch 1

.gitignore

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+checkpoint-*/

README.md

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+---
+tags:
+- generated_from_trainer
+model-index:
+- name: wav2vec2_bert_fusion_iemocap_4
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# wav2vec2_bert_fusion_iemocap_4
+
+This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0001
+- train_batch_size: 4
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Framework versions
+
+- Transformers 4.28.1
+- Pytorch 2.0.0+cu117
+- Datasets 2.11.0
+- Tokenizers 0.13.2

config.json

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+{
+  "BertModel": {
+    "_name_or_path": "bert-base-uncased",
+    "add_cross_attention": false,
+    "architectures": [
+      "BertForMaskedLM"
+    ],
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+    "bad_words_ids": null,
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+    "diversity_penalty": 0.0,
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+    "encoder_no_repeat_ngram_size": 0,
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+    "exponential_decay_length_penalty": null,
+    "finetuning_task": null,
+    "forced_bos_token_id": null,
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+    "gradient_checkpointing": false,
+    "hidden_act": "gelu",
+    "hidden_dropout_prob": 0.1,
+    "hidden_size": 768,
+    "id2label": {
+      "0": "LABEL_0",
+      "1": "LABEL_1"
+    },
+    "initializer_range": 0.02,
+    "intermediate_size": 3072,
+    "is_decoder": false,
+    "is_encoder_decoder": false,
+    "label2id": {
+      "LABEL_0": 0,
+      "LABEL_1": 1
+    },
+    "layer_norm_eps": 1e-12,
+    "length_penalty": 1.0,
+    "max_length": 20,
+    "max_position_embeddings": 512,
+    "min_length": 0,
+    "model_type": "bert",
+    "no_repeat_ngram_size": 0,
+    "num_attention_heads": 12,
+    "num_beam_groups": 1,
+    "num_beams": 1,
+    "num_hidden_layers": 12,
+    "num_return_sequences": 1,
+    "output_attentions": false,
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+    "output_scores": false,
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+    "position_embedding_type": "absolute",
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+    "return_dict": true,
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+    "temperature": 1.0,
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+    "tie_word_embeddings": true,
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+    "top_k": 50,
+    "top_p": 1.0,
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+    "transformers_version": "4.28.1",
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+    "typical_p": 1.0,
+    "use_bfloat16": false,
+    "use_cache": true,
+    "vocab_size": 30522
+  },
+  "WavLMModel": {
+    "_name_or_path": "jonatasgrosman/exp_w2v2t_en_wavlm_s767",
+    "activation_dropout": 0.05,
+    "adapter_kernel_size": 3,
+    "adapter_stride": 2,
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+    "add_cross_attention": false,
+    "apply_spec_augment": true,
+    "architectures": [
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+    "feat_extract_activation": "gelu",
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+    "max_bucket_distance": 800,
+    "max_length": 20,
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+    "model_type": "wavlm",
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+    "num_codevector_groups": 2,
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+    "num_ctc_classes": 80,
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+    "num_negatives": 100,
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+      1
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+      512,
+      1500
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+    "temperature": 1.0,
+    "tf_legacy_loss": false,
+    "tie_encoder_decoder": false,
+    "tie_word_embeddings": true,
+    "tokenizer_class": "Wav2Vec2CTCTokenizer",
+    "top_k": 50,
+    "top_p": 1.0,
+    "torch_dtype": "float32",
+    "torchscript": false,
+    "transformers_version": "4.28.1",
+    "typical_p": 1.0,
+    "use_bfloat16": false,
+    "use_weighted_layer_sum": false,
+    "vocab_size": 33,
+    "xvector_output_dim": 512
+  },
+  "architectures": [
+    "WavLMBertFusionForSequenceClassification"
+  ],
+  "auto_map": {
+    "AutoConfig": "audio_text_multimodal.WavLMBertConfig",
+    "AutoModel": "audio_text_multimodal.WavLMBertFusionForSequenceClassification"
+  },
+  "gradient_checkpointing": true,
+  "id2label": {
+    "0": "ang",
+    "1": "dis",
+    "2": "exc",
+    "3": "fea",
+    "4": "fru",
+    "5": "hap",
+    "6": "neu",
+    "7": "oth",
+    "8": "sad",
+    "9": "sur"
+  },
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+  "label2id": {
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+    "dis": 1,
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+    "fea": 3,
+    "fru": 4,
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+  "pooling_mode": "mean",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.28.1"
+}

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special_tokens_map.json

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tokenizer_config.json

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+  "tokenizer_class": "BertTokenizer",
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