End of training

README.md

@@ -1,9 +1,7 @@
 ---
-base_model: FacebookAI/roberta-base
-library_name: peft
+library_name: transformers
 license: mit
-metrics:
-- accuracy
+base_model: FacebookAI/roberta-base
 tags:
 - generated_from_trainer
 model-index:
@@ -18,8 +16,14 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.1887
-- Accuracy: 0.5677
+- eval_loss: 1.1887
+- eval_model_preparation_time: 0.0053
+- eval_accuracy: 0.5677
+- eval_f1: 0.5625
+- eval_runtime: 84.6218
+- eval_samples_per_second: 35.452
+- eval_steps_per_second: 2.222
+- step: 0
 
 ## Model description
 
@@ -46,26 +50,9 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 10
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 438  | 1.7350          | 0.4407   |
-| 1.9939        | 2.0   | 876  | 1.3357          | 0.5237   |
-| 1.4105        | 3.0   | 1314 | 1.2692          | 0.543    |
-| 1.2682        | 4.0   | 1752 | 1.2368          | 0.5527   |
-| 1.2304        | 5.0   | 2190 | 1.2191          | 0.5537   |
-| 1.1785        | 6.0   | 2628 | 1.2062          | 0.5553   |
-| 1.1621        | 7.0   | 3066 | 1.1958          | 0.5633   |
-| 1.1481        | 8.0   | 3504 | 1.1931          | 0.564    |
-| 1.1481        | 9.0   | 3942 | 1.1900          | 0.5633   |
-| 1.1424        | 10.0  | 4380 | 1.1887          | 0.5677   |
-
-
 ### Framework versions
 
-- PEFT 0.13.2
 - Transformers 4.44.2
 - Pytorch 2.5.0+cu121
 - Datasets 3.1.0
-- Tokenizers 0.19.1
+- Tokenizers 0.19.1

runs/Nov03_17-15-33_4c92b04c4d68/events.out.tfevents.1730654227.4c92b04c4d68.368.2

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:eb677d41203d14cbf8072c0a58dc2b421d858f99daa5b37629503eb2c20c7575
+size 452

special_tokens_map.json

@@ -1,7 +1,25 @@
 {
-  "bos_token": "<s>",
-  "cls_token": "<s>",
-  "eos_token": "</s>",
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "cls_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": true,
+    "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": "</s>",
-  "unk_token": "<unk>"
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "sep_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
 }

tokenizer_config.json

@@ -48,10 +48,14 @@
   "eos_token": "</s>",
   "errors": "replace",
   "mask_token": "<mask>",
+  "max_length": 512,
   "model_max_length": 512,
   "pad_token": "<pad>",
   "sep_token": "</s>",
+  "stride": 0,
   "tokenizer_class": "RobertaTokenizer",
   "trim_offsets": true,
+  "truncation_side": "right",
+  "truncation_strategy": "longest_first",
   "unk_token": "<unk>"
 }

training_args.bin

@@ -1,3 +1,3 @@
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-oid sha256:b7ad06620e65f859773f87f1c375341f6c74d27f336a13636bf6c0e35d755713
-size 5176
+oid sha256:0c6e68b3e58277ed28b69377bd85bd037d6f9e2f4beefe4868d3d9ea4124ec3a
+size 5240