Training in progress, epoch 1

README.md

@@ -7,19 +7,19 @@ metrics:
 tags:
 - generated_from_trainer
 model-index:
-- name: bert-dair-ai-emotion-testing
+- name: bert-dair-ai-emotion
   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. -->
 
-# bert-dair-ai-emotion-testing
+# bert-dair-ai-emotion
 
 This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0969
-- F1: 0.9388
+- Loss: 0.1034
+- F1: 0.9391
 
 ## Model description
 
@@ -45,15 +45,13 @@ The following hyperparameters were used during training:
 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- num_epochs: 3
+- num_epochs: 1
 
 ### Training results
 
 | Training Loss | Epoch | Step  | Validation Loss | F1     |
 |:-------------:|:-----:|:-----:|:---------------:|:------:|
-| 0.2591        | 1.0   | 20841 | 0.1267          | 0.9389 |
-| 0.1394        | 2.0   | 41682 | 0.1041          | 0.9383 |
-| 0.0932        | 3.0   | 62523 | 0.0969          | 0.9388 |
+| 0.2041        | 1.0   | 20841 | 0.1034          | 0.9391 |
 
 
 ### Framework versions

adapter_config.json

@@ -15,6 +15,10 @@
   "megatron_config": null,
   "megatron_core": "megatron.core",
   "modules_to_save": [
+    "classifier",
+    "score",
+    "classifier",
+    "score",
     "classifier",
     "score",
     "classifier",

adapter_model.safetensors

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training_args.bin

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