Training complete

README.md

@@ -0,0 +1,85 @@
+---
+base_model: kravchenko/uk-mt5-base
+tags:
+- summarization
+- generated_from_trainer
+datasets:
+- xlsum
+metrics:
+- rouge
+model-index:
+- name: uk-mt5-base-xlsum-4000
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: xlsum
+      type: xlsum
+      config: ukrainian
+      split: validation
+      args: ukrainian
+    metrics:
+    - name: Rouge1
+      type: rouge
+      value: 4.2038
+---
+
+<!-- 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. -->
+
+# uk-mt5-base-xlsum-4000
+
+This model is a fine-tuned version of [kravchenko/uk-mt5-base](https://huggingface.co/kravchenko/uk-mt5-base) on the xlsum dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.7909
+- Rouge1: 4.2038
+- Rouge2: 0.6736
+- Rougel: 4.1229
+- Rougelsum: 4.1353
+
+## 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: 5.6e-05
+- train_batch_size: 6
+- eval_batch_size: 6
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 8
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|
+| 2.871         | 1.0   | 7201  | 1.9992          | 3.157  | 0.5155 | 3.1283 | 3.1298    |
+| 2.3902        | 2.0   | 14402 | 1.9162          | 3.6231 | 0.595  | 3.5878 | 3.6125    |
+| 2.2273        | 3.0   | 21603 | 1.8681          | 3.8688 | 0.5949 | 3.8101 | 3.8106    |
+| 2.1219        | 4.0   | 28804 | 1.8264          | 3.7935 | 0.58   | 3.741  | 3.7647    |
+| 2.0448        | 5.0   | 36005 | 1.8062          | 3.9388 | 0.7156 | 3.8877 | 3.9098    |
+| 1.9898        | 6.0   | 43206 | 1.8077          | 4.3916 | 0.8113 | 4.3133 | 4.327     |
+| 1.9483        | 7.0   | 50407 | 1.7935          | 4.2474 | 0.7119 | 4.1732 | 4.197     |
+| 1.9209        | 8.0   | 57608 | 1.7909          | 4.2038 | 0.6736 | 4.1229 | 4.1353    |
+
+
+### Framework versions
+
+- Transformers 4.34.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
+- Tokenizers 0.14.1

generation_config.json

@@ -0,0 +1,7 @@
+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.34.0",
+  "use_cache": false
+}

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:51f38e9698ee4c630c0ed6bf90d2f00dc9d09cc24b5a0de5a77ac8c22fb7ef48
+oid sha256:8704aa0f990b2b361aa46df92ade52d24deb6bc408a6f417baee2ba3f97fcfa7
 size 977334453