Training in progress, epoch 1

config.json

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+  "_name_or_path": "textattack/albert-base-v2-imdb",
+  "architectures": [
+    "AlbertForSequenceClassification"
+  ],
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+  "finetuning_task": "imdb",
+  "gap_size": 0,
+  "hidden_act": "gelu_new",
+  "hidden_dropout_prob": 0,
+  "hidden_size": 768,
+  "id2label": {
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+    "1": "POSITIVE"
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+  "inner_group_num": 1,
+  "intermediate_size": 3072,
+  "label2id": {
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+    "POSITIVE": 1
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+  "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": "4.42.4",
+  "type_vocab_size": 2,
+  "vocab_size": 30000
+}

model.safetensors

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runs/Aug03_16-59-12_e2469afb5dc4/events.out.tfevents.1722704353.e2469afb5dc4.1659.0

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runs/Aug03_16-59-41_e2469afb5dc4/events.out.tfevents.1722704381.e2469afb5dc4.1659.1

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runs/Aug03_17-01-23_e2469afb5dc4/events.out.tfevents.1722704485.e2469afb5dc4.2966.0

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special_tokens_map.json

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spiece.model

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tokenizer_config.json

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training_args.bin

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