End of training

README.md

@@ -7,7 +7,7 @@ tags:
 datasets:
 - Aivesa/dataset_34ad7f9d-ff58-4068-8537-2d15a40438a9
 model-index:
-- name: 5e50f4e8-6556-4450-9721-0660047938a0
+- name: 1931e729-dd3f-4026-a118-7fef2d3afe59
   results: []
 ---
 
@@ -47,7 +47,7 @@ fsdp_config: null
 gradient_accumulation_steps: 4
 gradient_checkpointing: false
 group_by_length: false
-hub_model_id: Aivesa/5e50f4e8-6556-4450-9721-0660047938a0
+hub_model_id: Aivesa/1931e729-dd3f-4026-a118-7fef2d3afe59
 hub_private_repo: true
 hub_repo: null
 hub_strategy: checkpoint
@@ -101,7 +101,7 @@ xformers_attention: null
 
 </details><br>
 
-# 5e50f4e8-6556-4450-9721-0660047938a0
+# 1931e729-dd3f-4026-a118-7fef2d3afe59
 
 This model is a fine-tuned version of [HuggingFaceH4/tiny-random-LlamaForCausalLM](https://huggingface.co/HuggingFaceH4/tiny-random-LlamaForCausalLM) on the Aivesa/dataset_34ad7f9d-ff58-4068-8537-2d15a40438a9 dataset.
 It achieves the following results on the evaluation set:
@@ -139,7 +139,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss |
 |:-------------:|:------:|:----:|:---------------:|
-| 10.3772       | 0.0013 | 3    | 10.3774         |
+| 10.3773       | 0.0013 | 3    | 10.3774         |
 | 10.3789       | 0.0026 | 6    | 10.3773         |
 | 10.3786       | 0.0038 | 9    | 10.3772         |