Training in progress, step 24

README.md

@@ -5,14 +5,14 @@ base_model: roberta-base
 tags:
 - generated_from_trainer
 model-index:
-- name: annomatic_source_subsamples_model_alpha_10_idx_3
+- name: annomatic_source_subsamples_model_alpha_10_idx_2
   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. -->
 
-# annomatic_source_subsamples_model_alpha_10_idx_3
+# annomatic_source_subsamples_model_alpha_10_idx_2
 
 This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
 
@@ -34,10 +34,10 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 32
-- eval_batch_size: 32
+- train_batch_size: 64
+- eval_batch_size: 64
 - seed: 42
-- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
 - num_epochs: 3
 
@@ -47,7 +47,7 @@ The following hyperparameters were used during training:
 
 ### Framework versions
 
-- Transformers 4.48.3
-- Pytorch 2.6.0+cu124
+- Transformers 4.47.0
+- Pytorch 2.5.1+cu121
 - Datasets 3.2.0
 - Tokenizers 0.21.0

config.json

@@ -21,7 +21,7 @@
   "position_embedding_type": "absolute",
   "problem_type": "single_label_classification",
   "torch_dtype": "float32",
-  "transformers_version": "4.48.3",
+  "transformers_version": "4.47.0",
   "type_vocab_size": 1,
   "use_cache": true,
   "vocab_size": 50265

model.safetensors

@@ -1,3 +1,3 @@
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 size 498612824

training_args.bin

@@ -1,3 +1,3 @@
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