End of training

README.md

@@ -1,6 +1,8 @@
 ---
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
 model-index:
 - name: albert-base-v2
   results: []
@@ -12,6 +14,9 @@ should probably proofread and complete it, then remove this comment. -->
 # albert-base-v2
 
 This model was trained from scratch on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9137
+- Accuracy: 0.7434
 
 ## Model description
 
@@ -36,13 +41,17 @@ 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: 5
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 1    | 0.7514          | 0.3125   |
+| No log        | 1.0   | 293  | 0.4585          | 0.7766   |
+| 0.5555        | 2.0   | 586  | 0.5768          | 0.7200   |
+| 0.5555        | 3.0   | 879  | 0.6414          | 0.7065   |
+| 0.3357        | 4.0   | 1172 | 0.7783          | 0.7328   |
+| 0.3357        | 5.0   | 1465 | 0.9137          | 0.7434   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b9e99e8ebcd44a406f0d38628fa779eb54e22f9800322cad9874d4d333d3043c
+oid sha256:b55b04cf2990faaaaa0e18309b5967ddfb82044626b9c6dffe35c68e08acaf49
 size 46743912

runs/Apr30_01-12-00_00b7989a9f0d/events.out.tfevents.1714439520.00b7989a9f0d.367.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7da2ddee557c45ffc4257bac0e820154542d850059d13de627eb7072133f6b10
+size 7452

special_tokens_map.json

@@ -1,7 +1,25 @@
 {
-  "bos_token": "[CLS]",
-  "cls_token": "[CLS]",
-  "eos_token": "[SEP]",
+  "bos_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "cls_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
   "mask_token": {
     "content": "[MASK]",
     "lstrip": true,
@@ -9,7 +27,25 @@
     "rstrip": false,
     "single_word": false
   },
-  "pad_token": "<pad>",
-  "sep_token": "[SEP]",
-  "unk_token": "<unk>"
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "sep_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
 }

tokenizer_config.json

@@ -48,10 +48,14 @@
   "eos_token": "[SEP]",
   "keep_accents": false,
   "mask_token": "[MASK]",
+  "max_length": 512,
   "model_max_length": 512,
   "pad_token": "<pad>",
   "remove_space": true,
   "sep_token": "[SEP]",
+  "stride": 0,
   "tokenizer_class": "AlbertTokenizer",
+  "truncation_side": "right",
+  "truncation_strategy": "longest_first",
   "unk_token": "<unk>"
 }

training_args.bin

@@ -1,3 +1,3 @@
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+oid sha256:d46aed0fe4eb8cfc1311f1ef9716397ca1e99c17251feabf7d22e24b4652a349
 size 4984