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README.md

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 ---
 license: mit
+widget:
+- text: With tears of joy streaming down her cheeks, she embraced her long-lost brother after years of separation. 
+  example_title: Joy
+- text: As the orchestra played the final note, the audience erupted into thunderous applause, filling the concert hall with joy.  
+  example_title: Joy
+- text: The old man sat alone on the park bench, reminiscing about the love he had lost, his eyes filled with sadness.
+  example_title: Sadness
+- text: The news of her best friend moving to a distant country left her feeling a profound sadness and emptiness.  
+  example_title: Sadness
+- text: The scientific research paper discussed complex concepts that were beyond the scope of a laymans understanding. 
+  example_title: Neutral
+- text: The documentary provided an objective view of the historical events, presenting facts without any bias. 
+  example_title: Neutral
+- text: He clenched his fists tightly, trying to control the surge of anger when he heard the offensive remarks. 
+  example_title: Anger
+- text: The unfair treatment at work ignited a simmering anger within him, leading him to consider confronting the management.  
+  example_title: Anger
+- text: As the magician pulled a rabbit out of an empty hat, the children gasped in amazement and surprise. 
+  example_title: Surprise
+- text: He opened the box to find a rare and valuable antique inside, leaving him speechless with surprise.  
+  example_title: Surprise
+- text: The moldy and rotting food in the refrigerator evoked a sense of disgust, leading her to clean it immediately.  
+  example_title: Disgust
+- text: The movie's graphic scenes of violence and gore left many viewers feeling a sense of disgust and unease. 
+  example_title: Disgust
+- text: As the storm raged outside, the little child clung to their parents, seeking comfort from the fear of thunder. 
+  example_title: Fear
+- text: The horror movie was so terrifying that some viewers had to cover their eyes in fear, unable to bear the suspense.  
+  example_title: Fear
+language:
+- en
+metrics:
+- accuracy
+pipeline_tag: text-classification
 ---

config.json

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+{
+  "_name_or_path": "distilroberta-base",
+  "architectures": [
+    "RobertaForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "eos_token_id": 2,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "anger",
+    "1": "disgust",
+    "2": "fear",
+    "3": "joy",
+    "4": "neutral",
+    "5": "sadness",
+    "6": "surprise"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "anger": 0,
+    "disgust": 1,
+    "fear": 2,
+    "joy": 3,
+    "neutral": 4,
+    "sadness": 5,
+    "surprise": 6
+  },
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 6,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "transformers_version": "4.6.1",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50265
+}

model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:dde1eadd81741344dd707d1c482a3293810eb895c873053213ccdb2b57ca9e95
+size 328544361

special_tokens_map.json

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+{"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "</s>", "pad_token": "<pad>", "cls_token": "<s>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": false}}

tf_model.h5

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+size 328644696

tokenizer_config.json

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+{"unk_token": "<unk>", "bos_token": "<s>", "eos_token": "</s>", "add_prefix_space": false, "errors": "replace", "sep_token": "</s>", "cls_token": "<s>", "pad_token": "<pad>", "mask_token": "<mask>", "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "distilroberta-base"}

training_args.bin

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+version https://git-lfs.github.com/spec/v1
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+size 2415