End of training

README.md

@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [HuggingFaceTB/SmolLM-135M](https://huggingface.co/HuggingFaceTB/SmolLM-135M) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.2262
+- Loss: 3.2269
 
 ## Model description
 
@@ -39,7 +39,7 @@ The following hyperparameters were used during training:
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
-- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: cosine
 - num_epochs: 2
 
@@ -47,17 +47,17 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 3.1445        | 0.32  | 200  | 3.3104          |
-| 2.8324        | 0.64  | 400  | 3.2118          |
-| 2.6586        | 0.96  | 600  | 3.0967          |
-| 1.6904        | 1.28  | 800  | 3.2338          |
-| 1.5063        | 1.6   | 1000 | 3.2210          |
-| 1.4548        | 1.92  | 1200 | 3.2262          |
+| 3.201         | 0.32  | 200  | 3.3098          |
+| 2.8851        | 0.64  | 400  | 3.2105          |
+| 2.711         | 0.96  | 600  | 3.0995          |
+| 1.7193        | 1.28  | 800  | 3.2433          |
+| 1.5359        | 1.6   | 1000 | 3.2236          |
+| 1.4857        | 1.92  | 1200 | 3.2269          |
 
 
 ### Framework versions
 
-- Transformers 4.46.3
+- Transformers 4.45.2
 - Pytorch 2.5.1
-- Datasets 2.16.1
-- Tokenizers 0.20.3
+- Datasets 3.1.0
+- Tokenizers 0.20.1

generation_config.json

@@ -2,5 +2,5 @@
   "_from_model_config": true,
   "bos_token_id": 0,
   "eos_token_id": 0,
-  "transformers_version": "4.46.3"
+  "transformers_version": "4.45.2"
 }