Training in progress, step 1000

config.json

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+    "RobertaForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "dtype": "float32",
+  "eos_token_id": 2,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "KEEP",
+    "1": "ERROR"
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+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "ERROR": 1,
+    "KEEP": 0
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+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "transformers_version": "4.57.1",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50256
+}

model.safetensors

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special_tokens_map.json

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+{
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+    "content": "<s>",
+    "lstrip": false,
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+}

tokenizer_config.json

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+{
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+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "<cls>",
+  "eos_token": "</s>",
+  "extra_special_tokens": {},
+  "from_flax": true,
+  "mask_token": "<mask>",
+  "model_max_length": 512,
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+}

training_args.bin

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