Model save

README.md

@@ -3,23 +3,9 @@ license: apache-2.0
 base_model: google/mt5-small
 tags:
 - generated_from_trainer
-datasets:
-- cwchang/tw_address_medium
-metrics:
-- rouge
 model-index:
 - name: formatted_addr
-  results:
-  - task:
-      name: Summarization
-      type: summarization
-    dataset:
-      name: cwchang/tw_address_medium
-      type: cwchang/tw_address_medium
-    metrics:
-    - name: Rouge1
-      type: rouge
-      value: 99.0667
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -27,14 +13,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # formatted_addr
 
-This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the cwchang/tw_address_medium dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.1763
-- Rouge1: 99.0667
-- Rouge2: 39.6667
-- Rougel: 99.1333
-- Rougelsum: 99.1333
-- Gen Len: 13.375
+This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
 
 ## Model description
 
@@ -67,7 +46,7 @@ The following hyperparameters were used during training:
 
 ### Framework versions
 
-- Transformers 4.36.0.dev0
-- Pytorch 2.1.0+cu118
+- Transformers 4.37.0.dev0
+- Pytorch 2.1.0+cu121
 - Datasets 2.15.0
 - Tokenizers 0.15.0

config.json

@@ -26,7 +26,7 @@
   "tie_word_embeddings": false,
   "tokenizer_class": "T5Tokenizer",
   "torch_dtype": "float32",
-  "transformers_version": "4.36.0.dev0",
+  "transformers_version": "4.37.0.dev0",
   "use_cache": true,
   "vocab_size": 250112
 }

generation_config.json

@@ -1,6 +1,7 @@
 {
+  "_from_model_config": true,
   "decoder_start_token_id": 0,
   "eos_token_id": 1,
   "pad_token_id": 0,
-  "transformers_version": "4.36.0.dev0"
+  "transformers_version": "4.37.0.dev0"
 }

model.safetensors

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 size 1200729512

runs/Dec18_08-26-50_379bb1de15ca/events.out.tfevents.1702888037.379bb1de15ca.1410.0

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training_args.bin

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