End of training

README.md

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+---
+license: other
+base_model: boun-tabi-LMG/TURNA
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+- bleu
+model-index:
+- name: TURNA_spell_correction_product_search
+  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. -->
+
+# TURNA_spell_correction_product_search
+
+This model is a fine-tuned version of [boun-tabi-LMG/TURNA](https://huggingface.co/boun-tabi-LMG/TURNA) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1088
+- Rouge1: 0.8437
+- Rouge2: 0.7401
+- Rougel: 0.8435
+- Rougelsum: 0.8437
+- Bleu: 0.8713
+- Precisions: [0.8736109932988378, 0.8306083370157608, 0.8473118279569892, 0.9631336405529954]
+- Brevity Penalty: 0.9932
+- Length Ratio: 0.9933
+- Translation Length: 11789
+- Reference Length: 11869
+- Meteor: 0.7484
+- Score: 14.6658
+- Num Edits: 1709
+- Ref Length: 11653.0
+
+## 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: 5e-05
+- train_batch_size: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch  | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Bleu   | Precisions                                                                       | Brevity Penalty | Length Ratio | Translation Length | Reference Length | Meteor | Score   | Num Edits | Ref Length |
+|:-------------:|:------:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:------:|:--------------------------------------------------------------------------------:|:---------------:|:------------:|:------------------:|:----------------:|:------:|:-------:|:---------:|:----------:|
+| No log        | 0.3335 | 1253  | 0.2447          | 0.7099 | 0.5537 | 0.7097 | 0.7097    | 0.7033 | [0.7548184082863512, 0.6378386771213415, 0.6301176470588236, 0.906832298136646]  | 0.9711          | 0.9715       | 22881              | 23553            | 0.5852 | 27.8452 | 6474      | 23250.0    |
+| No log        | 0.6670 | 2506  | 0.1886          | 0.7586 | 0.6231 | 0.7584 | 0.7585    | 0.7555 | [0.7995148154565933, 0.7114032405992051, 0.7142528735632184, 0.8698224852071006] | 0.9799          | 0.9801       | 23084              | 23553            | 0.6454 | 22.8860 | 5321      | 23250.0    |
+| 0.3827        | 1.0005 | 3759  | 0.1571          | 0.7810 | 0.6561 | 0.7807 | 0.7809    | 0.7947 | [0.8183424557169332, 0.7418011058092858, 0.7430269775948788, 0.939297124600639]  | 0.9850          | 0.9851       | 23203              | 23553            | 0.6742 | 20.6710 | 4806      | 23250.0    |
+| 0.3827        | 1.3340 | 5012  | 0.1458          | 0.7973 | 0.6822 | 0.7973 | 0.7974    | 0.8139 | [0.8318891557995882, 0.7666015625, 0.7682954289574421, 0.9333333333333333]       | 0.9897          | 0.9898       | 23312              | 23553            | 0.6955 | 19.1441 | 4451      | 23250.0    |
+| 0.3827        | 1.6676 | 6265  | 0.1320          | 0.8109 | 0.6993 | 0.8107 | 0.8111    | 0.8294 | [0.8467426359922597, 0.7889852885703508, 0.788783355947535, 0.9453376205787781]  | 0.9873          | 0.9873       | 23255              | 23553            | 0.7111 | 17.6258 | 4098      | 23250.0    |
+| 0.1238        | 2.0011 | 7518  | 0.1218          | 0.8205 | 0.7139 | 0.8205 | 0.8206    | 0.8462 | [0.8559577028885832, 0.8045084439083233, 0.8144353369763205, 0.9607843137254902] | 0.9877          | 0.9877       | 23264              | 23553            | 0.7231 | 16.5720 | 3853      | 23250.0    |
+| 0.1238        | 2.3346 | 8771  | 0.1223          | 0.8246 | 0.7219 | 0.8247 | 0.8249    | 0.8506 | [0.8575583882282488, 0.8074450590521752, 0.8080267558528428, 0.9639344262295082] | 0.9925          | 0.9926       | 23378              | 23553            | 0.7298 | 16.1978 | 3766      | 23250.0    |
+| 0.1238        | 2.6681 | 10024 | 0.1177          | 0.8319 | 0.7326 | 0.8320 | 0.8321    | 0.8580 | [0.8628791114908159, 0.8155853840417598, 0.8160765976397238, 0.9671052631578947] | 0.9939          | 0.9939       | 23410              | 23553            | 0.7379 | 15.6602 | 3641      | 23250.0    |
+| 0.0686        | 3.0016 | 11277 | 0.1122          | 0.8388 | 0.7400 | 0.8391 | 0.8391    | 0.8623 | [0.8686514886164624, 0.8236522257848036, 0.8239625167336011, 0.9607843137254902] | 0.9940          | 0.9940       | 23411              | 23553            | 0.7462 | 15.0237 | 3493      | 23250.0    |
+| 0.0686        | 3.3351 | 12530 | 0.1184          | 0.8398 | 0.7450 | 0.8397 | 0.8398    | 0.8682 | [0.8676339190741608, 0.8243353328889876, 0.8229854689564069, 0.9735099337748344] | 0.9979          | 0.9979       | 23503              | 23553            | 0.7488 | 14.9677 | 3480      | 23250.0    |
+| 0.0686        | 3.6686 | 13783 | 0.1148          | 0.8440 | 0.7484 | 0.8441 | 0.8442    | 0.8716 | [0.8706277359853798, 0.8271121294995935, 0.826640333552776, 0.9735099337748344]  | 0.9990          | 0.9990       | 23529              | 23553            | 0.7533 | 14.5806 | 3390      | 23250.0    |
+| 0.0383        | 4.0021 | 15036 | 0.1134          | 0.8498 | 0.7547 | 0.8498 | 0.8500    | 0.8750 | [0.8757069354084279, 0.8344307168750462, 0.8344676180021954, 0.9671052631578947] | 0.9985          | 0.9985       | 23517              | 23553            | 0.7592 | 14.0516 | 3267      | 23250.0    |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.1+cu121
+- Datasets 2.19.2
+- Tokenizers 0.19.1

config.json

@@ -0,0 +1,32 @@
+{
+  "_name_or_path": "boun-tabi-LMG/TURNA",
+  "architectures": [
+    "T5ForConditionalGeneration"
+  ],
+  "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": "t5",
+  "num_decoder_layers": 36,
+  "num_heads": 16,
+  "num_layers": 36,
+  "output_past": true,
+  "pad_token_id": 0,
+  "relative_attention_max_distance": 128,
+  "relative_attention_num_buckets": 32,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.41.2",
+  "use_cache": true,
+  "vocab_size": 32128
+}

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "max_length": 15,
+  "max_new_tokens": 15,
+  "pad_token_id": 0,
+  "transformers_version": "4.41.2"
+}

model.safetensors

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+oid sha256:d1feb0bcba0decc1a0e502287cb47c73d3cf1f71e1cf200d04ca70cfe28921bf
+size 4567400768

results.json

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+{"eval_loss": 0.10884405672550201, "eval_rouge1": 0.8436920401820391, "eval_rouge2": 0.740059379509379, "eval_rougeL": 0.8435349805749799, "eval_rougeLsum": 0.843733527028526, "eval_bleu": 0.8712924137776715, "eval_precisions": [0.8736109932988378, 0.8306083370157608, 0.8473118279569892, 0.9631336405529954], "eval_brevity_penalty": 0.993236985878598, "eval_length_ratio": 0.9932597522958969, "eval_translation_length": 11789, "eval_reference_length": 11869, "eval_meteor": 0.7484335454321046, "eval_score": 14.665751308675878, "eval_num_edits": 1709, "eval_ref_length": 11653.0, "eval_runtime": 51.3593, "eval_samples_per_second": 97.353, "eval_steps_per_second": 1.538, "epoch": 4.002129358530743}

training_args.bin

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