End of training

README.md

@@ -1,13 +1,8 @@
 ---
 license: apache-2.0
-base_model: distilbert/distilbert-base-uncased
+base_model: distilbert-base-cased
 tags:
 - generated_from_trainer
-metrics:
-- precision
-- recall
-- f1
-- accuracy
 model-index:
 - name: test_trainer3b
   results: []
@@ -18,13 +13,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # test_trainer3b
 
-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: 1.4268
-- Precision: 1.0
-- Recall: 1.0
-- F1: 1.0
-- Accuracy: 1.0
+This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the None dataset.
 
 ## Model description
 
@@ -49,15 +38,10 @@ 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: 8
+- num_epochs: 2
 
 ### Training results
 
-| 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/distilbert-base-uncased",
+  "_name_or_path": "distilbert-base-cased",
   "activation": "gelu",
   "architectures": [
     "DistilBertForSequenceClassification"
@@ -31,6 +31,7 @@
   "model_type": "distilbert",
   "n_heads": 12,
   "n_layers": 6,
+  "output_past": true,
   "pad_token_id": 0,
   "problem_type": "single_label_classification",
   "qa_dropout": 0.1,
@@ -39,5 +40,5 @@
   "tie_weights_": true,
   "torch_dtype": "float32",
   "transformers_version": "4.38.2",
-  "vocab_size": 30522
+  "vocab_size": 28996
 }

model.safetensors

@@ -1,3 +1,3 @@
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-size 267847948
+oid sha256:f4fdded6c5d6aa7c563a2620d8a64102c4dde3f7c68f2fb549016b26d2a0798f
+size 263160068

runs/Mar11_13-20-28_fd75b22569e8/events.out.tfevents.1710163233.fd75b22569e8.296.0

@@ -0,0 +1,3 @@
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+size 5112

tokenizer_config.json

@@ -44,9 +44,9 @@
   "clean_up_tokenization_spaces": true,
   "cls_token": "[CLS]",
   "do_basic_tokenize": true,
-  "do_lower_case": true,
+  "do_lower_case": false,
   "mask_token": "[MASK]",
-  "model_max_length": 1000000000000000019884624838656,
+  "model_max_length": 512,
   "never_split": null,
   "pad_token": "[PAD]",
   "sep_token": "[SEP]",

training_args.bin

@@ -1,3 +1,3 @@
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+oid sha256:16f998a920691bc222fcdd063382e246edab121c6b7bdf921b0743740559d9e1
 size 4856