End of training

README.md

@@ -15,15 +15,15 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/codebert-base](https://huggingface.co/microsoft/codebert-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 1.7713
-- eval_model_preparation_time: 0.0047
+- eval_loss: 1.9961
+- eval_model_preparation_time: 0.0041
 - eval_accuracy: 0.095
 - eval_f1: 0.0165
 - eval_precision: 0.0090
 - eval_recall: 0.095
-- eval_runtime: 17.3603
-- eval_samples_per_second: 11.521
-- eval_steps_per_second: 2.88
+- eval_runtime: 17.4943
+- eval_samples_per_second: 11.432
+- eval_steps_per_second: 2.858
 - step: 0
 
 ## Model description

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:506a013407f9383136aea67e895e1ff397c16217173a422fc2e69ce13a28c36f
+oid sha256:f449724978f5f984b9964f2b3869b19670329c0ccc11285534346796563d4af7
 size 4747504

config.json

@@ -0,0 +1,45 @@
+{
+  "_attn_implementation_autoset": true,
+  "architectures": [
+    "RobertaModel"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3",
+    "4": "LABEL_4",
+    "5": "LABEL_5"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2,
+    "LABEL_3": 3,
+    "LABEL_4": 4,
+    "LABEL_5": 5
+  },
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "output_past": true,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.51.3",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50265
+}

tokenizer.json

@@ -1,11 +1,6 @@
 {
   "version": "1.0",
-  "truncation": {
-    "direction": "Right",
-    "max_length": 128,
-    "strategy": "LongestFirst",
-    "stride": 0
-  },
+  "truncation": null,
   "padding": null,
   "added_tokens": [
     {