End of training

README.md

@@ -0,0 +1,72 @@
+---
+license: mit
+base_model: flax-community/spanish-t5-small
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: clinical_document_summarization
+  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. -->
+
+# clinical_document_summarization
+
+This model is a fine-tuned version of [flax-community/spanish-t5-small](https://huggingface.co/flax-community/spanish-t5-small) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4429
+- Rouge1: 0.3814
+- Rouge2: 0.3162
+- Rougel: 0.3727
+- Rougelsum: 0.3727
+- Gen Len: 19.0
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 8
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 0.9449        | 1.0   | 592  | 0.6076          | 0.3739 | 0.303  | 0.3633 | 0.3632    | 18.9996 |
+| 0.6902        | 2.0   | 1184 | 0.5278          | 0.3771 | 0.3101 | 0.3686 | 0.3685    | 19.0    |
+| 0.601         | 3.0   | 1776 | 0.4962          | 0.3797 | 0.3143 | 0.3721 | 0.3721    | 19.0    |
+| 0.568         | 4.0   | 2368 | 0.4721          | 0.3792 | 0.3134 | 0.3701 | 0.3701    | 19.0    |
+| 0.5334        | 5.0   | 2960 | 0.4597          | 0.3795 | 0.3143 | 0.3713 | 0.3713    | 19.0    |
+| 0.4968        | 6.0   | 3552 | 0.4496          | 0.3816 | 0.3165 | 0.3729 | 0.3729    | 19.0    |
+| 0.4873        | 7.0   | 4144 | 0.4449          | 0.3812 | 0.316  | 0.3726 | 0.3726    | 19.0    |
+| 0.4794        | 8.0   | 4736 | 0.4429          | 0.3814 | 0.3162 | 0.3727 | 0.3727    | 19.0    |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

generation_config.json

@@ -0,0 +1,6 @@
+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.38.2"
+}

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:60f1a65d108eba31d7dee0401253af3066fab50cb00bb92d331cfd122938c466
+oid sha256:791b286003e646a19edd46514d44aba53625c19dd66f1447c14a3d14bfbe5549
 size 241990696

runs/Mar09_16-37-29_0d0cd5a60026/events.out.tfevents.1710002250.0d0cd5a60026.1084.2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9e6b4fffdf69dd82fda365d83f72ef8b6d199c048846d6fe033448af3e1cd1ef
-size 10485
+oid sha256:bc1a3b33e6aed294e3abe2d043b06e16262648fe7067dc2f13f40e2f6e42563d
+size 12100