End of training

README.md

@@ -3,8 +3,6 @@ license: apache-2.0
 base_model: distilbert-base-uncased
 tags:
 - generated_from_trainer
-datasets:
-- squad
 model-index:
 - name: testLLMModels
   results: []
@@ -15,7 +13,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # testLLMModels
 
-This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the squad dataset.
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.7927
 
 ## Model description
 
@@ -40,18 +40,20 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 1
+- num_epochs: 3
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 250  | 2.9686          |
+| No log        | 1.0   | 250  | 2.3645          |
+| 2.7423        | 2.0   | 500  | 1.8809          |
+| 2.7423        | 3.0   | 750  | 1.7927          |
 
 
 ### Framework versions
 
-- Transformers 4.36.1
-- Pytorch 2.1.0+cu118
-- Datasets 2.15.0
-- Tokenizers 0.15.0
+- Transformers 4.37.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.1

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "./testLLMModels",
+  "_name_or_path": "distilbert-base-uncased",
   "activation": "gelu",
   "architectures": [
     "DistilBertForQuestionAnswering"
@@ -19,6 +19,6 @@
   "sinusoidal_pos_embds": false,
   "tie_weights_": true,
   "torch_dtype": "float32",
-  "transformers_version": "4.36.1",
+  "transformers_version": "4.37.2",
   "vocab_size": 30522
 }

model.safetensors

@@ -1,3 +1,3 @@
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 size 265470032

runs/Jan30_17-54-17_075e53ae2159/events.out.tfevents.1706637257.075e53ae2159.3867.0

@@ -0,0 +1,3 @@
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+size 5548

training_args.bin

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