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-dataset2
+  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-dataset2
+
+This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.5680
+- Rouge1: 0.556
+- Rouge2: 0.2002
+- Rougel: 0.5256
+- Rougelsum: 0.5248
+
+## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 8
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
+| 4.4723        | 1.0   | 500  | 2.1274          | 0.3988 | 0.082  | 0.373  | 0.3729    |
+| 2.2471        | 2.0   | 1000 | 1.8718          | 0.4855 | 0.1556 | 0.4623 | 0.4617    |
+| 2.0198        | 3.0   | 1500 | 1.7499          | 0.5365 | 0.1946 | 0.5122 | 0.5112    |
+| 1.8858        | 4.0   | 2000 | 1.6731          | 0.5431 | 0.1957 | 0.5179 | 0.5174    |
+| 1.803         | 5.0   | 2500 | 1.6180          | 0.5562 | 0.2093 | 0.5296 | 0.5294    |
+| 1.7344        | 6.0   | 3000 | 1.5948          | 0.5561 | 0.2008 | 0.5254 | 0.5249    |
+| 1.7034        | 7.0   | 3500 | 1.5644          | 0.5608 | 0.2069 | 0.5314 | 0.5305    |
+| 1.6794        | 8.0   | 4000 | 1.5680          | 0.556  | 0.2002 | 0.5256 | 0.5248    |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

generation_config.json

@@ -0,0 +1,6 @@
+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.35.2"
+}

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:643482e47e5956ad7c84e5c35dfdd52af9292372597670acadb61073092c345f
+oid sha256:808b44065dc35746e6cddf849ca0169327ebabe1cf14174f234aef45ee8dd731
 size 1200729512

runs/Dec08_12-11-03_4d527b2a7dc5/events.out.tfevents.1702037471.4d527b2a7dc5.14357.2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:12345dcebb717a9ab9e407101033aae5fb64467d3e14ec0be840d30d378be48a
-size 9549
+oid sha256:3fca6a14ce08d6a767261735603eda34d25cd1ab50d805c2857d7269be8a7a8e
+size 9903