End of training

README.md

@@ -0,0 +1,72 @@
+---
+library_name: transformers
+license: apache-2.0
+base_model: google/mt5-small
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: mt5-summarize-ar-en
+  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-summarize-ar-en
+
+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: 2.9127
+- Rouge1: 0.4091
+- Rouge2: 0.2216
+- Rougel: 0.3747
+- Rougelsum: 0.3744
+
+## 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: 0.0005
+- train_batch_size: 4
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 90
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
+| 4.731         | 0.16  | 100  | 3.7741          | 0.3274 | 0.1592 | 0.2979 | 0.2977    |
+| 3.9076        | 0.32  | 200  | 3.3310          | 0.3424 | 0.1696 | 0.3120 | 0.3125    |
+| 3.7287        | 0.48  | 300  | 3.0822          | 0.3820 | 0.1995 | 0.3503 | 0.3501    |
+| 3.6632        | 0.64  | 400  | 3.0226          | 0.3977 | 0.2148 | 0.3621 | 0.3621    |
+| 3.3942        | 0.8   | 500  | 2.9377          | 0.4041 | 0.2151 | 0.3675 | 0.3672    |
+| 3.4731        | 0.96  | 600  | 2.9127          | 0.4091 | 0.2216 | 0.3747 | 0.3744    |
+
+
+### Framework versions
+
+- Transformers 4.45.1
+- Pytorch 2.4.0
+- Datasets 3.0.1
+- Tokenizers 0.20.0

generation_config.json

@@ -0,0 +1,10 @@
+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "length_penalty": 0.6,
+  "max_length": 128,
+  "no_repeat_ngram_size": 2,
+  "num_beams": 15,
+  "pad_token_id": 0,
+  "transformers_version": "4.45.1"
+}