End of training

README.md

@@ -1,6 +1,5 @@
 ---
-license: apache-2.0
-base_model: t5-small
+base_model: eenzeenee/t5-small-korean-summarization
 tags:
 - generated_from_trainer
 model-index:
@@ -13,9 +12,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # FingerFriend-t5-small
 
-This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
+This model is a fine-tuned version of [eenzeenee/t5-small-korean-summarization](https://huggingface.co/eenzeenee/t5-small-korean-summarization) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7932
+- Loss: 0.6002
 
 ## Model description
 
@@ -35,8 +34,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 16
-- eval_batch_size: 16
+- train_batch_size: 8
+- eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -46,16 +45,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 1.6439        | 1.0   | 152  | 1.1984          |
-| 1.2309        | 2.0   | 304  | 1.0458          |
-| 1.109         | 3.0   | 456  | 0.9631          |
-| 1.0371        | 4.0   | 608  | 0.9101          |
-| 0.989         | 5.0   | 760  | 0.8840          |
-| 0.9521        | 6.0   | 912  | 0.8545          |
-| 0.921         | 7.0   | 1064 | 0.8384          |
-| 0.9018        | 8.0   | 1216 | 0.8176          |
-| 0.8801        | 9.0   | 1368 | 0.8030          |
-| 0.8567        | 10.0  | 1520 | 0.7932          |
+| 1.4509        | 1.0   | 342  | 0.7916          |
+| 0.8917        | 2.0   | 684  | 0.7062          |
+| 0.7846        | 3.0   | 1026 | 0.6640          |
+| 0.72          | 4.0   | 1368 | 0.6334          |
+| 0.6804        | 5.0   | 1710 | 0.6100          |
+| 0.6387        | 6.0   | 2052 | 0.6002          |
 
 
 ### Framework versions

config.json

@@ -1,61 +1,33 @@
 {
-  "_name_or_path": "t5-small",
+  "_name_or_path": "eenzeenee/t5-small-korean-summarization",
   "architectures": [
     "T5ForConditionalGeneration"
   ],
   "classifier_dropout": 0.0,
-  "d_ff": 2048,
+  "d_ff": 1024,
   "d_kv": 64,
   "d_model": 512,
   "decoder_start_token_id": 0,
-  "dense_act_fn": "relu",
+  "dense_act_fn": "gelu_new",
   "dropout_rate": 0.1,
   "eos_token_id": 1,
-  "feed_forward_proj": "relu",
+  "feed_forward_proj": "gated-gelu",
   "initializer_factor": 1.0,
   "is_encoder_decoder": true,
-  "is_gated_act": false,
+  "is_gated_act": true,
   "layer_norm_epsilon": 1e-06,
+  "max_length": 128,
   "model_type": "t5",
-  "n_positions": 512,
-  "num_decoder_layers": 6,
-  "num_heads": 8,
-  "num_layers": 6,
+  "num_decoder_layers": 8,
+  "num_heads": 6,
+  "num_layers": 8,
   "output_past": true,
   "pad_token_id": 0,
   "relative_attention_max_distance": 128,
   "relative_attention_num_buckets": 32,
-  "task_specific_params": {
-    "summarization": {
-      "early_stopping": true,
-      "length_penalty": 2.0,
-      "max_length": 200,
-      "min_length": 30,
-      "no_repeat_ngram_size": 3,
-      "num_beams": 4,
-      "prefix": "summarize: "
-    },
-    "translation_en_to_de": {
-      "early_stopping": true,
-      "max_length": 300,
-      "num_beams": 4,
-      "prefix": "translate English to German: "
-    },
-    "translation_en_to_fr": {
-      "early_stopping": true,
-      "max_length": 300,
-      "num_beams": 4,
-      "prefix": "translate English to French: "
-    },
-    "translation_en_to_ro": {
-      "early_stopping": true,
-      "max_length": 300,
-      "num_beams": 4,
-      "prefix": "translate English to Romanian: "
-    }
-  },
+  "tie_word_embeddings": false,
   "torch_dtype": "float32",
   "transformers_version": "4.33.2",
   "use_cache": true,
-  "vocab_size": 32128
+  "vocab_size": 50358
 }

generation_config.json

@@ -2,6 +2,7 @@
   "_from_model_config": true,
   "decoder_start_token_id": 0,
   "eos_token_id": 1,
+  "max_length": 128,
   "pad_token_id": 0,
   "transformers_version": "4.33.2"
 }

pytorch_model.bin

@@ -1,3 +1,3 @@
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-size 242071641
+oid sha256:408db3f7ac52178898e790a6cd185b6a9e21de5a085d64c1af7778130ccf1a26
+size 382580229

special_tokens_map.json

@@ -103,5 +103,5 @@
   ],
   "eos_token": "</s>",
   "pad_token": "<pad>",
-  "unk_token": "<unk>"
+  "unk_token": "<pad>"
 }

tokenizer_config.json

@@ -104,8 +104,12 @@
   "clean_up_tokenization_spaces": true,
   "eos_token": "</s>",
   "extra_ids": 100,
-  "model_max_length": 512,
+  "max_length": 128,
+  "model_max_length": 128,
   "pad_token": "<pad>",
+  "stride": 128,
   "tokenizer_class": "T5Tokenizer",
-  "unk_token": "<unk>"
+  "truncation_side": "right",
+  "truncation_strategy": "longest_first",
+  "unk_token": "<pad>"
 }

training_args.bin

@@ -1,3 +1,3 @@
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 size 4155