End of training

README.md

@@ -0,0 +1,77 @@
+---
+license: apache-2.0
+base_model: ltg/norbert3-large
+tags:
+- generated_from_trainer
+model-index:
+- name: NorBERT3-Large_FGN
+  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. -->
+
+# NorBERT3-Large_FGN
+
+This model is a fine-tuned version of [ltg/norbert3-large](https://huggingface.co/ltg/norbert3-large) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4464
+- F1-score: 0.8361
+
+## 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: 5e-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: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1-score |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 120  | 0.4704          | 0.8059   |
+| No log        | 2.0   | 240  | 0.4812          | 0.8151   |
+| No log        | 3.0   | 360  | 0.8574          | 0.7980   |
+| No log        | 4.0   | 480  | 1.0347          | 0.7849   |
+| 0.4487        | 5.0   | 600  | 1.3767          | 0.8214   |
+| 0.4487        | 6.0   | 720  | 1.4754          | 0.8159   |
+| 0.4487        | 7.0   | 840  | 1.4435          | 0.8333   |
+| 0.4487        | 8.0   | 960  | 1.3504          | 0.8338   |
+| 0.0369        | 9.0   | 1080 | 1.3592          | 0.8338   |
+| 0.0369        | 10.0  | 1200 | 1.3162          | 0.8299   |
+| 0.0369        | 11.0  | 1320 | 1.3533          | 0.8317   |
+| 0.0369        | 12.0  | 1440 | 1.3645          | 0.8317   |
+| 0.0093        | 13.0  | 1560 | 1.3810          | 0.8299   |
+| 0.0093        | 14.0  | 1680 | 1.4039          | 0.8317   |
+| 0.0093        | 15.0  | 1800 | 1.4163          | 0.8289   |
+| 0.0093        | 16.0  | 1920 | 1.4252          | 0.8299   |
+| 0.0057        | 17.0  | 2040 | 1.4199          | 0.8299   |
+| 0.0057        | 18.0  | 2160 | 1.4326          | 0.8317   |
+| 0.0057        | 19.0  | 2280 | 1.4467          | 0.8256   |
+| 0.0057        | 20.0  | 2400 | 1.4464          | 0.8361   |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.2
+- Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3f958314a359861f3a0de2017483cd30a82ace6f08a0a12337ed802ca54701a3
+oid sha256:c2601a946c7f1ee0b85704789d6342bf36145d264fe1dd17324c5c592f9aa68a
 size 1467998016

runs/Jun07_09-45-43_a5a0751fcd91/events.out.tfevents.1717753651.a5a0751fcd91.635.4

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:437ab3a384631fa6d3eecf14558de6fc815c29ed765def578d8f88927aa184bf
-size 12690
+oid sha256:d64a4be82a33e782fb9dc31eb78aef65226bf151ee035a846919c6160728a70a
+size 13367

runs/Jun07_09-45-43_a5a0751fcd91/events.out.tfevents.1717754985.a5a0751fcd91.635.5

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5f876b580b54254fe29ac77b341c6ac21d13cfda3642fd8565ff61432a0a46be
+size 411