Training in progress, epoch 1

config.json

@@ -1,73 +1,38 @@
 {
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+  "_name_or_path": "roberta-base",
   "architectures": [
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+    "RobertaForSequenceClassification"
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-  "dense_act_fn": "gelu_new",
-  "dropout_rate": 0.1,
-  "eos_token_id": 1,
-  "feed_forward_proj": "gated-gelu",
+  "attention_probs_dropout_prob": 0.1,
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+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
   "id2label": {
     "0": "LABEL_0",
     "1": "LABEL_1",
     "2": "LABEL_2"
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-  "is_gated_act": true,
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+  "intermediate_size": 3072,
   "label2id": {
     "LABEL_0": 0,
     "LABEL_1": 1,
     "LABEL_2": 2
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-  "model_type": "t5",
-  "n_positions": 512,
-  "num_decoder_layers": 8,
-  "num_heads": 6,
-  "num_layers": 8,
-  "output_past": true,
-  "pad_token_id": 0,
+  "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",
   "problem_type": "single_label_classification",
-  "relative_attention_max_distance": 128,
-  "relative_attention_num_buckets": 32,
-  "task_specific_params": {
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-      "min_length": 30,
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-      "max_length": 300,
-      "num_beams": 4,
-      "prefix": "translate English to German: "
-    },
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-      "num_beams": 4,
-      "prefix": "translate English to French: "
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-      "max_length": 300,
-      "num_beams": 4,
-      "prefix": "translate English to Romanian: "
-    }
-  },
-  "tie_word_embeddings": false,
   "torch_dtype": "float32",
   "transformers_version": "4.33.3",
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   "use_cache": true,
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+  "vocab_size": 50265
 }

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special_tokens_map.json

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 }

tokenizer_config.json

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 }

training_args.bin

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