Model save

README.md

@@ -1,57 +1,62 @@
----
-license: apache-2.0
-base_model: Twitter/twhin-bert-large
-tags:
-- generated_from_trainer
-model-index:
-- name: model
-  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. -->
-
-# model
-
-This model is a fine-tuned version of [Twitter/twhin-bert-large](https://huggingface.co/Twitter/twhin-bert-large) on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 2.2328
-
-## 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: 1e-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: 1
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| 2.4946        | 1.0   | 232  | 2.2328          |
-
-
-### Framework versions
-
-- Transformers 4.32.1
-- Pytorch 2.1.2
-- Datasets 2.20.0
-- Tokenizers 0.13.2
+---
+library_name: transformers
+license: apache-2.0
+base_model: Twitter/twhin-bert-large
+tags:
+- generated_from_trainer
+model-index:
+- name: model
+  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. -->
+
+# model
+
+This model is a fine-tuned version of [Twitter/twhin-bert-large](https://huggingface.co/Twitter/twhin-bert-large) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.8347
+
+## 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: 1e-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: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.3665        | 1.0   | 232  | 2.1375          |
+| 2.1583        | 2.0   | 464  | 1.9678          |
+| 1.9735        | 3.0   | 696  | 1.8494          |
+| 1.9592        | 4.0   | 928  | 1.7641          |
+| 1.783         | 5.0   | 1160 | 1.8347          |
+
+
+### Framework versions
+
+- Transformers 4.45.1
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.20.0

generation_config.json

@@ -1,5 +1,5 @@
-{
-  "_from_model_config": true,
-  "pad_token_id": 0,
-  "transformers_version": "4.32.1"
-}
+{
+  "_from_model_config": true,
+  "pad_token_id": 0,
+  "transformers_version": "4.45.1"
+}

runs/Oct03_04-57-29_df5948bb4053/events.out.tfevents.1727931463.df5948bb4053.706.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:630a869581857f4ddbc1dfce75eab6871ddd39967342bf1361c84609d7d134a0
-size 30414
+oid sha256:7dec96e0e2391fbcb6da5deefc99fed51c8bbddc80fa32b222bb483c7f36a4b6
+size 31039