Training complete.

README.md

@@ -1,11 +1,8 @@
 ---
-license: apache-2.0
-base_model: distilbert-base-uncased
+license: mit
+base_model: racai/distilbert-base-romanian-cased
 tags:
 - generated_from_trainer
-metrics:
-- accuracy
-- f1
 model-index:
 - name: sentiment-analysis-model
   results: []
@@ -16,11 +13,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # sentiment-analysis-model
 
-This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
+This model is a fine-tuned version of [racai/distilbert-base-romanian-cased](https://huggingface.co/racai/distilbert-base-romanian-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0014
-- Accuracy: 1.0
-- F1: 1.0
+- Loss: 0.1640
 
 ## Model description
 
@@ -49,10 +44,10 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1  |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:---:|
-| No log        | 1.0   | 79   | 0.0022          | 1.0      | 1.0 |
-| No log        | 2.0   | 158  | 0.0014          | 1.0      | 1.0 |
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 8    | 0.2338          |
+| No log        | 2.0   | 16   | 0.1640          |
 
 
 ### Framework versions

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "distilbert-base-uncased",
+  "_name_or_path": "racai/distilbert-base-romanian-cased",
   "activation": "gelu",
   "architectures": [
     "DistilBertForSequenceClassification"
@@ -13,13 +13,14 @@
   "model_type": "distilbert",
   "n_heads": 12,
   "n_layers": 6,
+  "output_hidden_states": true,
   "pad_token_id": 0,
   "problem_type": "single_label_classification",
   "qa_dropout": 0.1,
   "seq_classif_dropout": 0.2,
-  "sinusoidal_pos_embds": false,
+  "sinusoidal_pos_embds": true,
   "tie_weights_": true,
   "torch_dtype": "float32",
   "transformers_version": "4.39.2",
-  "vocab_size": 30522
+  "vocab_size": 50000
 }

model.safetensors

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tokenizer_config.json

@@ -8,7 +8,7 @@
       "single_word": false,
       "special": true
     },
-    "100": {
+    "1": {
       "content": "[UNK]",
       "lstrip": false,
       "normalized": false,
@@ -16,7 +16,7 @@
       "single_word": false,
       "special": true
     },
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+    "2": {
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       "lstrip": false,
       "normalized": false,
@@ -24,7 +24,7 @@
       "single_word": false,
       "special": true
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+    "3": {
       "content": "[SEP]",
       "lstrip": false,
       "normalized": false,
@@ -32,7 +32,7 @@
       "single_word": false,
       "special": true
     },
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+    "4": {
       "content": "[MASK]",
       "lstrip": false,
       "normalized": false,
@@ -43,9 +43,11 @@
   },
   "clean_up_tokenization_spaces": true,
   "cls_token": "[CLS]",
-  "do_lower_case": true,
+  "do_basic_tokenize": true,
+  "do_lower_case": false,
   "mask_token": "[MASK]",
-  "model_max_length": 512,
+  "model_max_length": 1000000000000000019884624838656,
+  "never_split": null,
   "pad_token": "[PAD]",
   "sep_token": "[SEP]",
   "strip_accents": null,

training_args.bin

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