add model

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "razent/SciFive-base-Pubmed_PMC",
+  "_name_or_path": "ozcangundes/T5-base-for-BioQA",
   "architectures": [
     "T5ForConditionalGeneration"
   ],
@@ -8,19 +8,23 @@
   "d_model": 768,
   "decoder_start_token_id": 0,
   "dropout_rate": 0.1,
+  "early_stopping": true,
   "eos_token_id": 1,
   "feed_forward_proj": "relu",
-  "gradient_checkpointing": false,
   "initializer_factor": 1.0,
   "is_encoder_decoder": true,
   "layer_norm_epsilon": 1e-06,
+  "max_length": 600,
+  "min_length": 500,
   "model_type": "t5",
   "n_positions": 512,
+  "num_beams": 5,
   "num_decoder_layers": 12,
   "num_heads": 12,
   "num_layers": 12,
   "output_past": true,
   "pad_token_id": 0,
+  "relative_attention_max_distance": 128,
   "relative_attention_num_buckets": 32,
   "task_specific_params": {
     "summarization": {
@@ -52,13 +56,14 @@
     },
     "translation_en_to_rq": {
       "early_stopping": true,
-      "max_length": 350,
-      "min_length": 250,
-      "num_beams": 12,
-      "prefix": "translate English to ReportQL: "
+      "max_length": 600,
+      "min_length": 500,
+      "num_beams": 5,
+      "prefix": ""
     }
   },
-  "transformers_version": "4.6.1",
+  "torch_dtype": "float32",
+  "transformers_version": "4.19.2",
   "use_cache": true,
-  "vocab_size": 32756
+  "vocab_size": 32110
 }

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:29384b6bd72772051cab4813e9d141f9d44473bd4e9014d37ca42fec1267020e
-size 893666616
+oid sha256:3426c0b534f8f4f301938eca2bf43c47e49730a89e5b937011c924150b663677
+size 891645503