Model save

README.md

@@ -0,0 +1,65 @@
+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: AV_MAE_DF1M_noCEnoCL_new
+  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. -->
+
+# AV_MAE_DF1M_noCEnoCL_new
+
+This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2893
+- Accuracy: 0.9352
+- F1: 0.9348
+
+## 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
+- lr_scheduler_warmup_ratio: 0.1
+- training_steps: 14120
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
+| 0.4187        | 0.32  | 4517  | 0.3861          | 0.9068   | 0.9061 |
+| 0.2655        | 1.32  | 9033  | 0.3171          | 0.9255   | 0.9253 |
+| 0.7603        | 2.32  | 13549 | 0.2914          | 0.9355   | 0.9351 |
+| 0.3845        | 3.04  | 14120 | 0.2893          | 0.9352   | 0.9348 |
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.2.1+cu118
+- Datasets 2.18.0
+- Tokenizers 0.15.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:75cfffe424e1c856ffb574b2808275a86f37a6a1f2d013d58d5b023439015730
+oid sha256:7c11f4978decde215f6b4d25a75fbc82b3f3176f0e98a21215e9b3e59bcfcb65
 size 689754776