Training complete

README.md

@@ -0,0 +1,87 @@
+---
+base_model: kravchenko/uk-mt5-base
+tags:
+- summarization
+- generated_from_trainer
+datasets:
+- xlsum
+metrics:
+- rouge
+model-index:
+- name: uk-mt5-base-xlsum-v2
+  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: 4.4311
+---
+
+<!-- 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-v2
+
+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: 2.0401
+- Rouge1: 4.4311
+- Rouge2: 0.8944
+- Rougel: 4.4294
+- Rougelsum: 4.4527
+
+## 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: 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: 10
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|
+| 3.2519        | 1.0   | 2000  | 2.0993          | 4.1141 | 0.5944 | 4.1014 | 4.11      |
+| 2.5587        | 2.0   | 4000  | 2.0428          | 4.5015 | 0.6167 | 4.4863 | 4.518     |
+| 2.3299        | 3.0   | 6000  | 2.0175          | 4.4642 | 1.0833 | 4.4528 | 4.5167    |
+| 2.1543        | 4.0   | 8000  | 2.0183          | 4.3294 | 0.9444 | 4.3408 | 4.3611    |
+| 2.0276        | 5.0   | 10000 | 2.0039          | 4.6694 | 0.9444 | 4.6264 | 4.6527    |
+| 1.9119        | 6.0   | 12000 | 2.0139          | 4.9447 | 1.0675 | 4.8908 | 4.9633    |
+| 1.8305        | 7.0   | 14000 | 2.0134          | 4.9385 | 1.1595 | 4.8774 | 4.9294    |
+| 1.7669        | 8.0   | 16000 | 2.0253          | 4.2697 | 0.9667 | 4.2524 | 4.3167    |
+| 1.7141        | 9.0   | 18000 | 2.0354          | 4.4527 | 0.9    | 4.448  | 4.4941    |
+| 1.681         | 10.0  | 20000 | 2.0401          | 4.4311 | 0.8944 | 4.4294 | 4.4527    |
+
+
+### Framework versions
+
+- Transformers 4.34.1
+- 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": "4.34.1",
+  "use_cache": false
+}