Model save

README.md

@@ -1,11 +1,9 @@
 ---
+library_name: transformers
 license: apache-2.0
-library_name: peft
+base_model: distilbert-base-uncased
 tags:
-- trl
-- sft
 - generated_from_trainer
-base_model: openlm-research/open_llama_3b_v2
 model-index:
 - name: results
   results: []
@@ -16,7 +14,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # results
 
-This model is a fine-tuned version of [openlm-research/open_llama_3b_v2](https://huggingface.co/openlm-research/open_llama_3b_v2) on an unknown dataset.
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3222
 
 ## Model description
 
@@ -35,22 +35,27 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
-- train_batch_size: 2
-- eval_batch_size: 8
+- learning_rate: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
 - seed: 42
-- gradient_accumulation_steps: 8
-- total_train_batch_size: 16
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: cosine
-- lr_scheduler_warmup_ratio: 0.03
-- lr_scheduler_warmup_steps: 500
-- num_epochs: 3
+- optimizer: Use OptimizerNames.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: 4
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.2659        | 1.0   | 1563 | 0.2439          |
+| 0.1545        | 2.0   | 3126 | 0.2349          |
+| 0.0886        | 3.0   | 4689 | 0.2954          |
+| 0.0479        | 4.0   | 6252 | 0.3222          |
+
 
 ### Framework versions
 
-- PEFT 0.7.2.dev0
-- Transformers 4.36.2
-- Pytorch 2.1.2
-- Datasets 2.16.1
-- Tokenizers 0.15.2
+- Transformers 4.48.3
+- Pytorch 2.5.1+cu124
+- Datasets 3.3.0
+- Tokenizers 0.21.0

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:a8e2385922abc9f3d53ff6ec568d34e83707057f513f6cadade2ead7e086cffa
 size 267832560