End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: google/mt5-small
+tags:
+- generated_from_trainer
+model-index:
+- name: mt5-small-ukrainian-style-editor
+  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. -->
+
+# mt5-small-ukrainian-style-editor
+
+This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2027
+- Score: 41.4271
+- Counts: [18650, 13567, 10522, 7822]
+- Totals: [25663, 22534, 19416, 16463]
+- Precisions: [72.67271947940615, 60.206798615425576, 54.192418623815406, 47.51260402113831]
+- Bp: 0.7151
+- Sys Len: 25663
+- Ref Len: 34270
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Score   | Counts                      | Totals                       | Precisions                                                                     | Bp     | Sys Len | Ref Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------------------------:|:----------------------------:|:------------------------------------------------------------------------------:|:------:|:-------:|:-------:|
+| 0.2888        | 1.0   | 3129 | 0.2095          | 41.1095 | [18518, 13411, 10404, 7739] | [25905, 22776, 19652, 16594] | [71.48426944605289, 58.88215665612926, 52.94117647058823, 46.6373387971556]    | 0.7240 | 25905   | 34270   |
+| 0.2325        | 2.0   | 6258 | 0.2027          | 41.4271 | [18650, 13567, 10522, 7822] | [25663, 22534, 19416, 16463] | [72.67271947940615, 60.206798615425576, 54.192418623815406, 47.51260402113831] | 0.7151 | 25663   | 34270   |
+
+
+### Framework versions
+
+- Transformers 4.50.3
+- Pytorch 2.6.0+cu124
+- Datasets 3.5.0
+- Tokenizers 0.21.1

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.50.3"
+}