Upload MorphT5AutoForConditionalGeneration

config.json

@@ -1,13 +1,8 @@
 {
-  "_name_or_path": "mrapacz/interlinear-en-philta-emb-auto-diacritics-bh",
+  "_name_or_path": "../workspaces/exp512_3_INTMT-6543/best_model",
   "architectures": [
-    "MorphT5ForConditionalGeneration"
+    "MorphT5AutoForConditionalGeneration"
   ],
-  "auto_map": {
-    "AutoConfig": "mrapacz/interlinear-en-philta-emb-auto-diacritics-bh--modeling_morph_t5_auto.MorphT5Config",
-    "AutoModelForSeq2SeqLM": "mrapacz/interlinear-en-philta-emb-auto-diacritics-bh--modeling_morph_t5_auto.MorphT5ForConditionalGeneration",
-    "AutoTokenizer": "mrapacz/interlinear-en-philta-emb-auto-diacritics-bh--modeling_morph_t5_auto.MorphologicallyAwareTokenizer"
-  },
   "d_ff": 2048,
   "d_kv": 64,
   "d_model": 768,
@@ -21,9 +16,9 @@
   "is_encoder_decoder": true,
   "is_gated_act": true,
   "layer_norm_epsilon": 1e-06,
-  "model_type": "morph-t5",
+  "model_type": "morph-t5-auto",
   "morph_compressed_embedding_size": 64,
-  "morph_vocabulary_size": 675,
+  "morph_vocabulary_size": 688,
   "num_decoder_layers": 12,
   "num_heads": 12,
   "num_layers": 12,
@@ -32,7 +27,7 @@
   "relative_attention_max_distance": 128,
   "relative_attention_num_buckets": 32,
   "tie_word_embeddings": false,
-  "tokenizer_class": "MorphologicallyAwareTokenizer",
+  "tokenizer_class": "morpht5.tokenizer.morph_t5_tokenizer.MorphT5Tokenizer",
   "torch_dtype": "float32",
   "transformers_version": "4.31.0",
   "use_cache": true,

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:72e1777a9dee3d1833d8ca4a8bd4ea49eec21e9ab7f6e0cce4f36abb7fb93d3a
-size 1187233086
+oid sha256:6f882cfc07e46442819df3676afeed98f49fe5b633ac1986b8037e5e06b23610
+size 1187236414