End of training

README.md

@@ -0,0 +1,70 @@
+---
+license: apache-2.0
+base_model: google/mt5-small
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: mt5-small-finetuned-b8-10
+  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-finetuned-b8-10
+
+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: 3.7340
+- Rouge1: 0.0359
+- Rouge2: 0.0077
+- Rougel: 0.0357
+- Rougelsum: 0.0357
+- Gen Len: 10.8384
+
+## 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
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 12.4116       | 1.0   | 1357 | 3.3739          | 0.0033 | 0.0002 | 0.0033 | 0.0033    | 16.3309 |
+| 1.7237        | 2.0   | 2714 | 1.4076          | 0.0022 | 0.0    | 0.0021 | 0.0022    | 4.5805  |
+| 1.4447        | 3.0   | 4071 | 1.2431          | 0.0031 | 0.0    | 0.0031 | 0.0031    | 4.0912  |
+| 1.3493        | 4.0   | 5428 | 1.2140          | 0.0247 | 0.0026 | 0.0248 | 0.0247    | 7.3331  |
+| 1.2809        | 5.0   | 6785 | 3.7340          | 0.0359 | 0.0077 | 0.0357 | 0.0357    | 10.8384 |
+
+
+### Framework versions
+
+- Transformers 4.33.0
+- Pytorch 2.0.0
+- Datasets 2.1.0
+- Tokenizers 0.13.3

generation_config.json

@@ -0,0 +1,6 @@
+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.33.0"
+}