End of training

README.md

@@ -1,13 +1,50 @@
 ---
-license: mit
-datasets:
-- absonS/twitter_sentiment_small
-language:
-- en
-metrics:
-- accuracy
-base_model:
-- microsoft/deberta-v3-base
-pipeline_tag: text-classification
 library_name: transformers
----
+license: mit
+base_model: absonS/twitter_sentiment_small
+tags:
+- generated_from_trainer
+model-index:
+- name: twitter_sentiment_small
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# twitter_sentiment_small
+
+This model is a fine-tuned version of [absonS/twitter_sentiment_small](https://huggingface.co/absonS/twitter_sentiment_small) on an unknown dataset.
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 1e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 50
+- num_epochs: 3
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.5.0+cu121
+- Datasets 3.1.0
+- Tokenizers 0.19.1

all_results.json

@@ -0,0 +1,11 @@
+{
+    "test_accuracy": 0.86,
+    "test_f1-score": 0.8674242424242424,
+    "test_loss": 0.34267666935920715,
+    "test_model_preparation_time": 0.0039,
+    "test_precision": 0.8513011152416357,
+    "test_recall": 0.8841698841698842,
+    "test_runtime": 152.0055,
+    "test_samples_per_second": 6.579,
+    "test_steps_per_second": 0.414
+}

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "microsoft/deberta-v3-base",
+  "_name_or_path": "absonS/twitter_sentiment_small",
   "architectures": [
     "DebertaV2ForSequenceClassification"
   ],

model.safetensors

@@ -1,3 +1,3 @@
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 size 737719272

special_tokens_map.json

@@ -1,10 +1,46 @@
 {
-  "bos_token": "[CLS]",
-  "cls_token": "[CLS]",
-  "eos_token": "[SEP]",
-  "mask_token": "[MASK]",
-  "pad_token": "[PAD]",
-  "sep_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": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "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,

test_results.json

@@ -0,0 +1,11 @@
+{
+    "test_accuracy": 0.86,
+    "test_f1-score": 0.8674242424242424,
+    "test_loss": 0.34267666935920715,
+    "test_model_preparation_time": 0.0039,
+    "test_precision": 0.8513011152416357,
+    "test_recall": 0.8841698841698842,
+    "test_runtime": 152.0055,
+    "test_samples_per_second": 6.579,
+    "test_steps_per_second": 0.414
+}

tokenizer_config.json

@@ -47,12 +47,16 @@
   "do_lower_case": false,
   "eos_token": "[SEP]",
   "mask_token": "[MASK]",
-  "model_max_length": 512,
+  "max_length": 36,
+  "model_max_length": 1000000000000000019884624838656,
   "pad_token": "[PAD]",
   "sep_token": "[SEP]",
   "sp_model_kwargs": {},
   "split_by_punct": false,
+  "stride": 0,
   "tokenizer_class": "DebertaV2Tokenizer",
+  "truncation_side": "right",
+  "truncation_strategy": "longest_first",
   "unk_token": "[UNK]",
   "vocab_type": "spm"
 }

training_args.bin

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 size 5240