End of training

README.md

@@ -1,6 +1,6 @@
 ---
 license: apache-2.0
-base_model: distilbert-base-uncased
+base_model: distilbert/distilbert-base-uncased
 tags:
 - generated_from_trainer
 metrics:
@@ -18,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # test_trainer3b
 
-This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
+This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0385
+- Loss: 1.4268
 - Precision: 1.0
 - Recall: 1.0
 - F1: 1.0
@@ -44,18 +44,20 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 16
-- eval_batch_size: 16
+- train_batch_size: 64
+- eval_batch_size: 64
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 2
+- num_epochs: 8
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1  | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
-| 0.0687        | 1.92  | 25   | 0.0385          | 1.0       | 1.0    | 1.0 | 1.0      |
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 1.9001        | 2.5   | 10   | 1.8054          | 0.5581    | 0.4762 | 0.3941 | 0.4762   |
+| 1.7074        | 5.0   | 20   | 1.5607          | 0.9429    | 0.9048 | 0.8929 | 0.9048   |
+| 1.5246        | 7.5   | 30   | 1.4268          | 1.0       | 1.0    | 1.0    | 1.0      |
 
 
 ### Framework versions

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "distilbert-base-uncased",
+  "_name_or_path": "distilbert/distilbert-base-uncased",
   "activation": "gelu",
   "architectures": [
     "DistilBertForSequenceClassification"

model.safetensors

@@ -1,3 +1,3 @@
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 size 267847948

runs/Mar11_12-18-43_ed81b744f0b3/events.out.tfevents.1710159530.ed81b744f0b3.1246.0

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runs/Mar11_12-26-15_ed81b744f0b3/events.out.tfevents.1710159981.ed81b744f0b3.1246.1

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tokenizer_config.json

@@ -46,7 +46,7 @@
   "do_basic_tokenize": true,
   "do_lower_case": true,
   "mask_token": "[MASK]",
-  "model_max_length": 512,
+  "model_max_length": 1000000000000000019884624838656,
   "never_split": null,
   "pad_token": "[PAD]",
   "sep_token": "[SEP]",

training_args.bin

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