ebobo
/

3a76eb4b-e6c2-4c47-a06e-c1c42e82b9f2

Generated from Trainer

4-bit precision

Model card Files Files and versions Community

ebobo commited on Dec 3, 2024

Commit

776c472

•

1 Parent(s): 96bd113

End of training

Files changed (2) hide show

README.md +4 -4
adapter_model.bin +1 -1

README.md CHANGED Viewed

@@ -103,7 +103,7 @@ xformers_attention: null
 This model is a fine-tuned version of [unsloth/gemma-7b-it](https://huggingface.co/unsloth/gemma-7b-it) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.2435
 ## Model description
@@ -138,9 +138,9 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch  | Step | Validation Loss |
 |:-------------:|:------:|:----:|:---------------:|
 | 3.0027        | 0.0006 | 1    | 2.7413          |
-| 3.2098        | 0.0017 | 3    | 2.6281          |
-| 2.3823        | 0.0034 | 6    | 2.1913          |
-| 1.8664        | 0.0051 | 9    | 2.2435          |
 ### Framework versions

 This model is a fine-tuned version of [unsloth/gemma-7b-it](https://huggingface.co/unsloth/gemma-7b-it) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 2.2349
 ## Model description
 | Training Loss | Epoch  | Step | Validation Loss |
 |:-------------:|:------:|:----:|:---------------:|
 | 3.0027        | 0.0006 | 1    | 2.7413          |
+| 3.2161        | 0.0017 | 3    | 2.6312          |
+| 2.3622        | 0.0034 | 6    | 2.1885          |
+| 1.862         | 0.0051 | 9    | 2.2349          |
 ### Framework versions

adapter_model.bin CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:eba3d4830b07048fa33b7d8fcb9e99a3e682e2abc6b3698a4884d9478f6967d8
 size 200157226

 version https://git-lfs.github.com/spec/v1
+oid sha256:0efb1b42046e765ed36116345d6b901ced11f1cc310a2adf74a22d2930a34d3d
 size 200157226