End of training

README.md

@@ -0,0 +1,70 @@
+---
+library_name: transformers
+license: apache-2.0
+base_model: google/mt5-base
+tags:
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: kp-mt5-base
+  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. -->
+
+# kp-mt5-base
+
+This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9680
+- Bleu: 29.4263
+- Gen Len: 44.3157
+
+## 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: 2.59e-05
+- train_batch_size: 24
+- eval_batch_size: 32
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 96
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch  | Step   | Bleu    | Gen Len | Validation Loss |
+|:-------------:|:------:|:------:|:-------:|:-------:|:---------------:|
+| 1.8289        | 0.4026 | 20001  | 17.9948 | 45.585  | 1.3952          |
+| 1.569         | 0.8052 | 40002  | 22.2856 | 45.2362 | 1.2204          |
+| 1.463         | 1.2078 | 60003  | 24.6884 | 44.4264 | 1.1352          |
+| 1.3552        | 1.6104 | 80004  | 26.0272 | 44.3574 | 1.0864          |
+| 1.3187        | 2.0130 | 100005 | 27.0619 | 45.005  | 1.0543          |
+| 1.3011        | 2.4156 | 120006 | 1.0286  | 27.63   | 44.1082         |
+| 1.2552        | 2.8182 | 140007 | 0.9847  | 29.0405 | 44.4054         |
+
+
+### Framework versions
+
+- Transformers 4.56.1
+- Pytorch 2.8.0+cu126
+- Datasets 4.0.0
+- Tokenizers 0.22.0

generation_config.json

@@ -0,0 +1,8 @@
+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": [
+    1
+  ],
+  "pad_token_id": 0,
+  "transformers_version": "4.56.1"
+}

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:279140d23bc95173689d32c0bdcdf97ab7a04ea46b9017fa90e38fd0ff88d4c0
+oid sha256:4ae3c92d5b85a8f07090c777dba813742a9b96e021c2cf745d9253bcb341f1c0
 size 2329638768

runs/Sep20_09-18-10_cfa1d4a90e71/events.out.tfevents.1758359926.cfa1d4a90e71.7055.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:19357cb79618c7394aa2f8c3d16f0201651a4c8139835c54fd971bf76f35d45b
-size 27228
+oid sha256:c59047e61e63d9c6689f74fe16820f670494bd6155cbe1822e8dc634df0df7df
+size 37640

runs/Sep20_09-18-10_cfa1d4a90e71/events.out.tfevents.1758395441.cfa1d4a90e71.7055.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d21af173d1c39420a1bb5bfa4d4be4785faf3274e79730f6102e262009bf536c
+size 465