Model save

README.md

@@ -4,7 +4,6 @@ license: apache-2.0
 base_model: mistralai/Mistral-7B-v0.1
 tags:
 - llama-factory
-- full
 - generated_from_trainer
 model-index:
 - name: mistral_alpaca_sft_sample
@@ -16,9 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # mistral_alpaca_sft_sample
 
-This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the llamafactory/alpaca_en dataset.
-It achieves the following results on the evaluation set:
-- Loss: 1.7878
+This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on an unknown dataset.
 
 ## Model description
 
@@ -49,13 +46,13 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: cosine
 - lr_scheduler_warmup_ratio: 0.1
-- training_steps: 2
+- training_steps: 3
 
 ### Training results
 
 | Training Loss | Epoch  | Step | Validation Loss |
 |:-------------:|:------:|:----:|:---------------:|
-| No log        | 0.0870 | 2    | 1.7878          |
+| No log        | 0.1304 | 3    | 1.6965          |
 
 
 ### Framework versions

trainer_log.jsonl

@@ -1,2 +1,2 @@
-{"current_steps": 2, "total_steps": 2, "eval_loss": 1.7878271341323853, "epoch": 0.08695652173913043, "percentage": 100.0, "elapsed_time": "0:00:30", "remaining_time": "0:00:00"}
-{"current_steps": 2, "total_steps": 2, "epoch": 0.08695652173913043, "percentage": 100.0, "elapsed_time": "0:00:30", "remaining_time": "0:00:00"}
+{"current_steps": 3, "total_steps": 3, "eval_loss": 1.696488618850708, "epoch": 0.13043478260869565, "percentage": 100.0, "elapsed_time": "0:02:09", "remaining_time": "0:00:00"}
+{"current_steps": 3, "total_steps": 3, "epoch": 0.13043478260869565, "percentage": 100.0, "elapsed_time": "0:21:34", "remaining_time": "0:00:00"}