End of training

README.md

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+---
+license: apache-2.0
+base_model: Buseak/md_mt5_base_boun_split_second_v1_retrain_on_second_imst
+tags:
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: md_mt5_base_boun_split_second_v1_retrain_on_boun_1612
+  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. -->
+
+# md_mt5_base_boun_split_second_v1_retrain_on_boun_1612
+
+This model is a fine-tuned version of [Buseak/md_mt5_base_boun_split_second_v1_retrain_on_second_imst](https://huggingface.co/Buseak/md_mt5_base_boun_split_second_v1_retrain_on_second_imst) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1146
+- Bleu: 0.7971
+- Gen Len: 18.8069
+
+## 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: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 15
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Bleu   | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
+| 0.3542        | 1.0   | 975   | 0.1679          | 0.7453 | 18.7959 |
+| 0.3354        | 2.0   | 1950  | 0.1553          | 0.7492 | 18.8033 |
+| 0.3183        | 3.0   | 2925  | 0.1500          | 0.7576 | 18.7972 |
+| 0.3013        | 4.0   | 3900  | 0.1421          | 0.7618 | 18.7969 |
+| 0.2912        | 5.0   | 4875  | 0.1364          | 0.7673 | 18.8005 |
+| 0.2816        | 6.0   | 5850  | 0.1321          | 0.7732 | 18.8003 |
+| 0.2753        | 7.0   | 6825  | 0.1287          | 0.7825 | 18.8067 |
+| 0.2718        | 8.0   | 7800  | 0.1252          | 0.7866 | 18.8051 |
+| 0.2631        | 9.0   | 8775  | 0.1222          | 0.7885 | 18.799  |
+| 0.2576        | 10.0  | 9750  | 0.1197          | 0.793  | 18.8041 |
+| 0.2541        | 11.0  | 10725 | 0.1182          | 0.7935 | 18.8056 |
+| 0.2505        | 12.0  | 11700 | 0.1165          | 0.7956 | 18.8056 |
+| 0.2492        | 13.0  | 12675 | 0.1156          | 0.7971 | 18.8056 |
+| 0.2534        | 14.0  | 13650 | 0.1146          | 0.7964 | 18.8069 |
+| 0.2455        | 15.0  | 14625 | 0.1146          | 0.7971 | 18.8069 |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.15.0
+- Tokenizers 0.15.0

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.35.2"
+}

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:77a7f46e98f42937b2e88cc0710fc9fe68cd606aa3ceb058dc5bd5b481ea3929
 size 1200729512