add model

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "lmqg_output/mt5_small_itquad/model_mzgdpa/epoch_6",
+  "_name_or_path": "mt5-small-itquad",
   "add_prefix": false,
   "architectures": [
     "MT5ForConditionalGeneration"
@@ -8,22 +8,25 @@
   "d_kv": 64,
   "d_model": 512,
   "decoder_start_token_id": 0,
+  "dense_act_fn": "gelu_new",
   "dropout_rate": 0.1,
   "eos_token_id": 1,
   "feed_forward_proj": "gated-gelu",
   "initializer_factor": 1.0,
   "is_encoder_decoder": true,
+  "is_gated_act": true,
   "layer_norm_epsilon": 1e-06,
   "model_type": "mt5",
   "num_decoder_layers": 8,
   "num_heads": 6,
   "num_layers": 8,
   "pad_token_id": 0,
+  "relative_attention_max_distance": 128,
   "relative_attention_num_buckets": 32,
   "tie_word_embeddings": false,
   "tokenizer_class": "T5Tokenizer",
   "torch_dtype": "float32",
-  "transformers_version": "4.18.0.dev0",
+  "transformers_version": "4.21.2",
   "use_cache": true,
   "vocab_size": 250101
 }

eval/metric.first.answer.paragraph.questions_answers.lmqg_qg_itquad.default.json

@@ -0,0 +1 @@
+{"test": {"QAAlignedF1Score (BERTScore)": 0.8765991197053721, "QAAlignedF1Score (MoverScore)": 0.6159932305738621}, "validation": {"QAAlignedF1Score (BERTScore)": 0.8796577279163592, "QAAlignedF1Score (MoverScore)": 0.6193549935335876}}

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:78e79ae0472a1306e35787771c14280c8e99d74694bcb50c2a1e39995e8015c5
-size 1200748293
+oid sha256:5bf85355155bbab97622f4a7bff42b462d9cd95e88f2682ee0eb9127b64876d4
+size 1200723013