add model

config.json

@@ -1,47 +1,85 @@
 {
-  "_name_or_path": "trained_models/t5_10ep-joint-qanom_15.12.21",
+  "_name_or_path": "trained_models/t5_qanom-joint-23.03.22",
+  "append_verb_form": true,
   "architectures": [
     "T5ForConditionalGeneration"
   ],
-  "batch_size": 12,
   "d_ff": 2048,
   "d_kv": 64,
   "d_model": 512,
+  "debug_mode": false,
   "decoder_start_token_id": 0,
-  "description": "duplicating qanom training data ",
+  "description": "optimal joint config from sweep, mainly for qanom",
+  "dir_switch": "joint_optimal",
+  "do_eval_on": "validation",
   "dropout_rate": 0.1,
   "eos_token_id": 1,
+  "eval_steps": 500,
+  "evaluation_strategy": "steps",
   "feed_forward_proj": "relu",
   "fp16": true,
-  "gradient_checkpointing": false,
+  "gradient_accumulation_steps": 14,
   "initializer_factor": 1.0,
   "is_encoder_decoder": true,
   "layer_norm_epsilon": 1e-06,
+  "learning_rate": 0.001,
+  "load_best_model_at_end": true,
+  "logging_steps": 500,
+  "logging_strategy": "steps",
+  "metric_for_best_model": "eval_loss",
   "model_type": "t5",
   "n_positions": 512,
+  "num_beams": 5,
   "num_decoder_layers": 6,
   "num_heads": 8,
   "num_layers": 6,
   "output_past": true,
   "overwrite_output_dir": true,
   "pad_token_id": 0,
+  "per_device_eval_batch_size": 12,
+  "per_device_train_batch_size": 12,
+  "predicate_marker_type": "generic",
+  "predict_with_generate": true,
   "preprocess_input_func": "input_predicate_marker",
   "preprocessing_kwargs": {
-    "batch_size": 12,
-    "description": "duplicating qanom training data ",
+    "append_verb_form": true,
+    "debug_mode": false,
+    "description": "optimal joint config from sweep, mainly for qanom",
+    "dir_switch": "joint_optimal",
+    "do_eval_on": "validation",
+    "dropout_rate": 0.1,
+    "eval_steps": 500,
+    "evaluation_strategy": "steps",
     "fp16": true,
+    "gradient_accumulation_steps": 14,
+    "learning_rate": 0.001,
+    "load_best_model_at_end": true,
+    "logging_steps": 500,
+    "logging_strategy": "steps",
+    "metric_for_best_model": "eval_loss",
     "model_type": "t5",
+    "num_beams": 5,
     "overwrite_output_dir": true,
+    "per_device_eval_batch_size": 12,
+    "per_device_train_batch_size": 12,
+    "predicate_marker_type": "generic",
+    "predict_with_generate": true,
     "preprocess_input_func": "input_predicate_marker",
-    "source_prefix": "<predicate-type>",
-    "test_dataset": "qanom",
+    "qanom_joint_factor": 14,
+    "save_steps": 500,
+    "save_strategy": "steps",
+    "seed": 44,
+    "source_prefix": "parse: ",
     "train_dataset": "joint_qanom",
-    "train_epochs": 5,
-    "use_bilateral_predicate_marker": true,
-    "wandb_run_name": "2021-12-16--00:13:35_5ep_t5_joint_qanom_factor=14"
+    "train_epochs": 20,
+    "use_bilateral_predicate_marker": true
   },
+  "qanom_joint_factor": 14,
   "relative_attention_num_buckets": 32,
-  "source_prefix": "<predicate-type>",
+  "save_steps": 500,
+  "save_strategy": "steps",
+  "seed": 44,
+  "source_prefix": "parse: ",
   "task_specific_params": {
     "summarization": {
       "early_stopping": true,
@@ -71,13 +109,11 @@
       "prefix": "translate English to Romanian: "
     }
   },
-  "test_dataset": "qanom",
   "torch_dtype": "float32",
   "train_dataset": "joint_qanom",
-  "train_epochs": 5,
+  "train_epochs": 20,
   "transformers_version": "4.14.1",
   "use_bilateral_predicate_marker": true,
   "use_cache": true,
-  "vocab_size": 32101,
-  "wandb_run_name": "2021-12-16--00:13:35_5ep_t5_joint_qanom_factor=14"
+  "vocab_size": 32101
 }

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2272dd02b62d084677d2333038457d6865bbd751d962f945fd9209fe652fc7d0
-size 242030331
+oid sha256:67987af0aa8b7d2584e73cfaa33571bae84c52e4bc3534c5e896e1e7824343bd
+size 242028475