Training complete

README.md

@@ -0,0 +1,72 @@
+---
+library_name: transformers
+license: apache-2.0
+base_model: google/mt5-small
+tags:
+- summarization
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: mt5-small-finetuned-amazon-en-es
+  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-amazon-en-es
+
+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: 3.0303
+- Rouge1: 16.529
+- Rouge2: 7.7232
+- Rougel: 16.1476
+- Rougelsum: 16.1061
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 8
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
+| 6.9675        | 1.0   | 1209 | 3.2986          | 15.3055 | 6.8874 | 14.783  | 14.8197   |
+| 3.8997        | 2.0   | 2418 | 3.1665          | 16.2363 | 7.6744 | 15.7205 | 15.7713   |
+| 3.5826        | 3.0   | 3627 | 3.1106          | 17.1611 | 8.4609 | 16.4314 | 16.5041   |
+| 3.421         | 4.0   | 4836 | 3.0963          | 17.2027 | 8.7845 | 16.7884 | 16.748    |
+| 3.3089        | 5.0   | 6045 | 3.0490          | 16.6719 | 7.7037 | 16.1747 | 16.1419   |
+| 3.2437        | 6.0   | 7254 | 3.0401          | 16.6146 | 7.9511 | 16.0485 | 15.9265   |
+| 3.2133        | 7.0   | 8463 | 3.0292          | 16.2406 | 7.7499 | 15.9951 | 15.9193   |
+| 3.1851        | 8.0   | 9672 | 3.0303          | 16.529  | 7.7232 | 16.1476 | 16.1061   |
+
+
+### Framework versions
+
+- Transformers 4.46.2
+- Pytorch 2.5.1+cu121
+- Datasets 3.1.0
+- Tokenizers 0.20.3

generation_config.json

@@ -0,0 +1,6 @@
+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.46.2"
+}

runs/Dec05_01-33-05_94207733295c/events.out.tfevents.1733362404.94207733295c.577.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ba406698ce54b72ff40c0f45a2c877fdd7daf4a075daffdc5e9e56d8440ecbb8
-size 10395
+oid sha256:42bf061d45ea14dd72c5692bf07df9481ecdffd2b032b5ee0a9d2ae8cfc0a124
+size 11223

runs/Dec05_01-33-05_94207733295c/events.out.tfevents.1733366305.94207733295c.577.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ae1265fcf2a63886d221c9418c96161cbfc2fc88f6881d6283afe9a979b5135b
+size 562