End of training

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,110 @@
+---
+license: apache-2.0
+base_model: google/mt5-large
+tags:
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: cs_mT5-large2_2e-5_50_v0.3
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# cs_mT5-large2_2e-5_50_v0.3
+
+This model is a fine-tuned version of [google/mt5-large](https://huggingface.co/google/mt5-large) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 10.7179
+- Bleu: 8.2299
+- Gen Len: 19.0
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 50
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
+| 22.4209       | 1.0   | 6    | 14.7377         | 5.6697 | 19.0    |
+| 20.671        | 2.0   | 12   | 14.9637         | 6.7619 | 19.0    |
+| 17.7208       | 3.0   | 18   | 14.6564         | 5.3777 | 19.0    |
+| 22.9549       | 4.0   | 24   | 15.1568         | 6.7736 | 19.0    |
+| 16.6185       | 5.0   | 30   | 14.1533         | 7.0263 | 19.0    |
+| 22.1158       | 6.0   | 36   | 15.0667         | 7.1851 | 19.0    |
+| 24.587        | 7.0   | 42   | 15.5166         | 7.6752 | 19.0    |
+| 16.4955       | 8.0   | 48   | 14.5515         | 7.5521 | 19.0    |
+| 21.0521       | 9.0   | 54   | 13.0890         | 7.7939 | 19.0    |
+| 16.1149       | 10.0  | 60   | 11.8305         | 7.7866 | 19.0    |
+| 12.8454       | 11.0  | 66   | 11.8727         | 7.7197 | 19.0    |
+| 18.482        | 12.0  | 72   | 11.6011         | 7.5761 | 19.0    |
+| 18.6175       | 13.0  | 78   | 11.8911         | 7.7925 | 19.0    |
+| 12.6805       | 14.0  | 84   | 11.8462         | 7.3764 | 19.0    |
+| 14.3151       | 15.0  | 90   | 11.4554         | 7.6604 | 19.0    |
+| 17.2287       | 16.0  | 96   | 11.1727         | 8.0204 | 19.0    |
+| 16.3546       | 17.0  | 102  | 10.7514         | 8.0859 | 19.0    |
+| 16.3339       | 18.0  | 108  | 11.1960         | 8.1381 | 19.0    |
+| 16.6065       | 19.0  | 114  | 11.3321         | 8.126  | 19.0    |
+| 14.3851       | 20.0  | 120  | 10.9074         | 6.3032 | 19.0    |
+| 15.8189       | 21.0  | 126  | 10.5179         | 6.3626 | 19.0    |
+| 8.4543        | 22.0  | 132  | 10.6037         | 6.3223 | 19.0    |
+| 18.0304       | 23.0  | 138  | 10.3665         | 6.236  | 19.0    |
+| 13.1475       | 24.0  | 144  | 10.3107         | 7.4434 | 19.0    |
+| 21.3407       | 25.0  | 150  | 10.2976         | 7.4596 | 19.0    |
+| 15.8901       | 26.0  | 156  | 10.4723         | 7.2047 | 19.0    |
+| 13.3029       | 27.0  | 162  | 10.7863         | 7.2047 | 19.0    |
+| 9.6205        | 28.0  | 168  | 11.2429         | 7.2047 | 19.0    |
+| 15.4244       | 29.0  | 174  | 11.5663         | 7.1797 | 19.0    |
+| 10.8496       | 30.0  | 180  | 11.9665         | 7.1839 | 19.0    |
+| 16.4213       | 31.0  | 186  | 12.3102         | 7.1002 | 19.0    |
+| 19.9358       | 32.0  | 192  | 12.3951         | 7.1693 | 19.0    |
+| 13.9974       | 33.0  | 198  | 12.6037         | 7.1693 | 19.0    |
+| 18.1208       | 34.0  | 204  | 12.4725         | 7.0996 | 19.0    |
+| 10.2059       | 35.0  | 210  | 12.1561         | 7.286  | 19.0    |
+| 15.9016       | 36.0  | 216  | 11.9896         | 7.286  | 19.0    |
+| 16.7008       | 37.0  | 222  | 11.4571         | 8.4159 | 19.0    |
+| 14.4533       | 38.0  | 228  | 11.1535         | 8.4159 | 19.0    |
+| 15.1107       | 39.0  | 234  | 11.1553         | 8.4159 | 19.0    |
+| 13.2587       | 40.0  | 240  | 11.0539         | 7.2709 | 19.0    |
+| 14.9836       | 41.0  | 246  | 11.3945         | 7.1574 | 19.0    |
+| 13.083        | 42.0  | 252  | 11.3690         | 7.1948 | 19.0    |
+| 24.9864       | 43.0  | 258  | 11.2586         | 8.2299 | 19.0    |
+| 22.1657       | 44.0  | 264  | 11.1126         | 8.2299 | 19.0    |
+| 15.6887       | 45.0  | 270  | 11.0112         | 8.2299 | 19.0    |
+| 8.581         | 46.0  | 276  | 10.8892         | 8.2299 | 19.0    |
+| 14.0141       | 47.0  | 282  | 10.8514         | 8.2299 | 19.0    |
+| 11.8402       | 48.0  | 288  | 10.8129         | 8.2299 | 19.0    |
+| 14.7845       | 49.0  | 294  | 10.7252         | 8.2299 | 19.0    |
+| 18.8443       | 50.0  | 300  | 10.7179         | 8.2299 | 19.0    |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

config.json

@@ -0,0 +1,33 @@
+{
+  "_name_or_path": "google/mt5-large",
+  "architectures": [
+    "MT5ForConditionalGeneration"
+  ],
+  "classifier_dropout": 0.0,
+  "d_ff": 2816,
+  "d_kv": 64,
+  "d_model": 1024,
+  "decoder_start_token_id": 0,
+  "dense_act_fn": "gelu_new",
+  "dropout_rate": 0.1,
+  "eos_token_id": 1,
+  "feed_forward_proj": "gated-gelu",
+  "initializer_factor": 1.0,
+  "is_encoder_decoder": true,
+  "is_gated_act": true,
+  "layer_norm_epsilon": 1e-06,
+  "model_type": "mt5",
+  "num_decoder_layers": 24,
+  "num_heads": 16,
+  "num_layers": 24,
+  "output_past": true,
+  "pad_token_id": 0,
+  "relative_attention_max_distance": 128,
+  "relative_attention_num_buckets": 32,
+  "tie_word_embeddings": false,
+  "tokenizer_class": "T5Tokenizer",
+  "torch_dtype": "float32",
+  "transformers_version": "4.38.2",
+  "use_cache": true,
+  "vocab_size": 250112
+}

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.38.2"
+}

model.safetensors

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+size 4918393736

special_tokens_map.json

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+    "rstrip": false,
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+}

spiece.model

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tokenizer.json

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+size 16330660

tokenizer_config.json

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+{
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+  "added_tokens_decoder": {
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+      "lstrip": false,
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+  "additional_special_tokens": [],
+  "clean_up_tokenization_spaces": true,
+  "eos_token": "</s>",
+  "extra_ids": 0,
+  "legacy": true,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "T5Tokenizer",
+  "unk_token": "<unk>"
+}

training_args.bin

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