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: 3.0193
+- Rouge1: 17.2135
+- Rouge2: 8.3357
+- Rougel: 16.8793
+- Rougelsum: 16.9394
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
+| 3.6768        | 1.0   | 1209 | 3.2182          | 17.7584 | 9.2535 | 17.2471 | 17.2362   |
+| 3.6447        | 2.0   | 2418 | 3.1029          | 17.5874 | 8.7799 | 16.9421 | 16.8519   |
+| 3.4304        | 3.0   | 3627 | 3.0759          | 15.9059 | 7.5876 | 15.2891 | 15.3577   |
+| 3.3128        | 4.0   | 4836 | 3.0706          | 17.1344 | 8.7748 | 16.6593 | 16.5961   |
+| 3.2203        | 5.0   | 6045 | 3.0339          | 16.5542 | 7.7302 | 16.0354 | 16.081    |
+| 3.1651        | 6.0   | 7254 | 3.0283          | 16.5324 | 8.0126 | 16.1407 | 16.1522   |
+| 3.1387        | 7.0   | 8463 | 3.0188          | 16.7522 | 8.2367 | 16.4669 | 16.5025   |
+| 3.1139        | 8.0   | 9672 | 3.0193          | 17.2135 | 8.3357 | 16.8793 | 16.9394   |
+
+
+### 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/Dec04_01-24-18_0a3c78fd193a/events.out.tfevents.1733277323.0a3c78fd193a.279.1

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7f8ff25bef21a285c7e2d4a4a02ce888b17c115974f1fa30ef2259822d9695aa
-size 10383
+oid sha256:fee7d41a183d830bd0d362694ffbf83e72e37524ee641eb2611f0f5685429a99
+size 11211

runs/Dec04_01-24-18_0a3c78fd193a/events.out.tfevents.1733281401.0a3c78fd193a.279.2

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6d49f476ee6d219c805585332fde6741f0b678652329f8e41c20a034fde81f3f
+size 562