Model save

README.md

@@ -14,6 +14,8 @@ should probably proofread and complete it, then remove this comment. -->
 # trained-tinyllama
 
 This model is a fine-tuned version of [PY007/TinyLlama-1.1B-intermediate-step-715k-1.5T](https://huggingface.co/PY007/TinyLlama-1.1B-intermediate-step-715k-1.5T) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9312
 
 ## Model description
 
@@ -37,12 +39,16 @@ The following hyperparameters were used during training:
 - eval_batch_size: 64
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: constant
+- lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 1
-- num_epochs: 1
+- num_epochs: 4
 
 ### Training results
 
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.9528        | 1.92  | 50   | 0.9625          |
+| 0.9252        | 3.85  | 100  | 0.9312          |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8e766777f535ab77654b80690034ce638cea0bcca0fd0a026a33902ea529637d
+oid sha256:2d746a15f6aaa342427efc7e3162f8873e94fdb688a6c991a12124bbc804a1c7
 size 2200152632

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ac0a197b53a821a5a731e195cbed66218e4708fbd73b203f1570e5576aa90dc9
+oid sha256:807d3c1ea310f444aaf65d68accb1f37fa6ba451c5f1da40daa6ea3a082d181f
 size 4536