End of training

README.md

@@ -3,18 +3,18 @@ base_model: meta-llama/Llama-2-7b-chat-hf
 tags:
 - generated_from_trainer
 model-index:
-- name: Llama2_7B_chat_meetingBank_ft_adapters_EOS_2
+- name: Llama2_7B_chat_meetingBank_ft_adapters_EOS_3
   results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# Llama2_7B_chat_meetingBank_ft_adapters_EOS_2
+# Llama2_7B_chat_meetingBank_ft_adapters_EOS_3
 
 This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.8878
+- Loss: 1.8142
 
 ## Model description
 
@@ -49,10 +49,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 1.9862        | 0.2   | 33   | 2.0436          |
-| 1.9345        | 0.41  | 66   | 1.9444          |
-| 2.1393        | 0.61  | 99   | 1.9075          |
-| 2.1656        | 0.82  | 132  | 1.8878          |
+| 2.2757        | 0.2   | 65   | 1.9499          |
+| 1.8931        | 0.4   | 130  | 1.8631          |
+| 1.6246        | 0.6   | 195  | 1.8294          |
+| 2.2049        | 0.8   | 260  | 1.8142          |
 
 
 ### Framework versions

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d3d3d4df3366020213ef240961ae4cd26007cb3ae32cf52a9da23094863c4313
+oid sha256:2d58717818086be23a6144eba9f2e76c237d5e7f688db0c1fa8cec75b1400ec5
 size 16794200

runs/Nov17_09-07-56_e32dade7553c/events.out.tfevents.1700212164.e32dade7553c.15280.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:da8207c2dd05b92e41cc9f16cd36dc449e2de3f320715dabf345f3e64402c64f
-size 46182
+oid sha256:bed0708bb3c642db66788bbd813c22d6a76df8c6a56a326bac2dacf8a984b031
+size 56427