Training in progress, step 500

.gitignore

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config.json

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+{
+  "_name_or_path": "uclanlp/plbart-base",
+  "activation_dropout": 0.0,
+  "activation_function": "gelu",
+  "architectures": [
+    "PLBartForConditionalGeneration"
+  ],
+  "attention_dropout": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": 0.0,
+  "d_model": 768,
+  "decoder_attention_heads": 12,
+  "decoder_ffn_dim": 3072,
+  "decoder_layerdrop": 0.0,
+  "decoder_layers": 6,
+  "dropout": 0.1,
+  "encoder_attention_heads": 12,
+  "encoder_ffn_dim": 3072,
+  "encoder_layerdrop": 0.0,
+  "encoder_layers": 6,
+  "eos_token_id": 2,
+  "forced_eos_token_id": 2,
+  "init_std": 0.02,
+  "is_encoder_decoder": true,
+  "max_position_embeddings": 1024,
+  "model_type": "plbart",
+  "num_hidden_layers": 6,
+  "pad_token_id": 1,
+  "scale_embedding": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.26.1",
+  "use_cache": true,
+  "vocab_size": 50005
+}

pytorch_model.bin

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tokenizer_config.json

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     "single_word": false
   },
   "model_max_length": 1024,
-  "name_or_path": "uclanlp/plbart-base",
+  "name_or_path": "Minata/plbart-base_finetuned_ut_generator_70000_method2test",
   "pad_token": "<pad>",
   "sep_token": "</s>",
   "sp_model_kwargs": {},

training_args.bin

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