Training in progress, step 100

.gitignore

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+checkpoint-*/

config.json

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+{
+  "_name_or_path": "albert-base-v2",
+  "architectures": [
+    "AlbertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0,
+  "bos_token_id": 2,
+  "classifier_dropout_prob": 0.1,
+  "down_scale_factor": 1,
+  "embedding_size": 128,
+  "eos_token_id": 3,
+  "gap_size": 0,
+  "hidden_act": "gelu_new",
+  "hidden_dropout_prob": 0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "1.1 threats of harm",
+    "1": "1.2 incitement and encouragement of harm",
+    "2": "2.1 descriptive attacks",
+    "3": "2.2 aggressive and emotive attacks",
+    "4": "2.3 dehumanising attacks & overt sexual objectification",
+    "5": "3.1 casual use of gendered slurs, profanities, and insults",
+    "6": "3.2 immutable gender differences and gender stereotypes",
+    "7": "3.3 backhanded gendered compliments",
+    "8": "3.4 condescending explanations or unwelcome advice",
+    "9": "4.1 supporting mistreatment of individual women",
+    "10": "4.2 supporting systemic discrimination against women as a group"
+  },
+  "initializer_range": 0.02,
+  "inner_group_num": 1,
+  "intermediate_size": 3072,
+  "label2id": {
+    "1.1 threats of harm": 0,
+    "1.2 incitement and encouragement of harm": 1,
+    "2.1 descriptive attacks": 2,
+    "2.2 aggressive and emotive attacks": 3,
+    "2.3 dehumanising attacks & overt sexual objectification": 4,
+    "3.1 casual use of gendered slurs, profanities, and insults": 5,
+    "3.2 immutable gender differences and gender stereotypes": 6,
+    "3.3 backhanded gendered compliments": 7,
+    "3.4 condescending explanations or unwelcome advice": 8,
+    "4.1 supporting mistreatment of individual women": 9,
+    "4.2 supporting systemic discrimination against women as a group": 10
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "albert",
+  "net_structure_type": 0,
+  "num_attention_heads": 12,
+  "num_hidden_groups": 1,
+  "num_hidden_layers": 12,
+  "num_memory_blocks": 0,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.24.0",
+  "type_vocab_size": 2,
+  "vocab_size": 30000
+}

pytorch_model.bin

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special_tokens_map.json

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+{
+  "bos_token": "[CLS]",
+  "cls_token": "[CLS]",
+  "eos_token": "[SEP]",
+  "mask_token": {
+    "content": "[MASK]",
+    "lstrip": true,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "<pad>",
+  "sep_token": "[SEP]",
+  "unk_token": "<unk>"
+}

tokenizer_config.json

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+{
+  "bos_token": "[CLS]",
+  "cls_token": "[CLS]",
+  "do_lower_case": true,
+  "eos_token": "[SEP]",
+  "keep_accents": false,
+  "mask_token": {
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+    "content": "[MASK]",
+    "lstrip": true,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "model_max_length": 512,
+  "name_or_path": "albert-base-v2",
+  "pad_token": "<pad>",
+  "remove_space": true,
+  "sep_token": "[SEP]",
+  "special_tokens_map_file": null,
+  "tokenizer_class": "AlbertTokenizer",
+  "unk_token": "<unk>"
+}

training_args.bin

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