Added Checkpoint Metrics
Browse files- README-huggingface.md +13 -4
- README.md +14 -5
README-huggingface.md
CHANGED
|
@@ -25,9 +25,15 @@ model-index:
|
|
| 25 |
type: fka/awesome-chatgpt-prompts
|
| 26 |
name: Awesome ChatGPT Prompts
|
| 27 |
metrics:
|
| 28 |
-
- name:
|
| 29 |
-
type:
|
| 30 |
-
value:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 31 |
- name: accuracy
|
| 32 |
type: accuracy
|
| 33 |
value: 78.5
|
|
@@ -97,7 +103,10 @@ The model is trained on the [awesome-chatgpt-prompts](https://huggingface.co/dat
|
|
| 97 |
## Evaluation Results
|
| 98 |
|
| 99 |
The model shows strong performance across key metrics:
|
| 100 |
-
- **
|
|
|
|
|
|
|
|
|
|
| 101 |
- **Accuracy:** 78.5%
|
| 102 |
- **Response Coherence:** 82.1%
|
| 103 |
- **Peer Network Efficiency:** 91.2%
|
|
|
|
| 25 |
type: fka/awesome-chatgpt-prompts
|
| 26 |
name: Awesome ChatGPT Prompts
|
| 27 |
metrics:
|
| 28 |
+
- name: epoch
|
| 29 |
+
type: number
|
| 30 |
+
value: 2
|
| 31 |
+
- name: model_size
|
| 32 |
+
type: text
|
| 33 |
+
value: "1.82 GB"
|
| 34 |
+
- name: run_time
|
| 35 |
+
type: text
|
| 36 |
+
value: "2.5 minutes on Intel UHD Graphics 630"
|
| 37 |
- name: accuracy
|
| 38 |
type: accuracy
|
| 39 |
value: 78.5
|
|
|
|
| 103 |
## Evaluation Results
|
| 104 |
|
| 105 |
The model shows strong performance across key metrics:
|
| 106 |
+
- **Final Epoch:** 2
|
| 107 |
+
- **Model Size:** 1.82 GB
|
| 108 |
+
- **Total Run Time:** 2.5 minutes on Intel UHD Graphics 630
|
| 109 |
+
- **Loss:** 7.11
|
| 110 |
- **Accuracy:** 78.5%
|
| 111 |
- **Response Coherence:** 82.1%
|
| 112 |
- **Peer Network Efficiency:** 91.2%
|
README.md
CHANGED
|
@@ -24,12 +24,18 @@ model-index:
|
|
| 24 |
name: Custom Text Dataset
|
| 25 |
type: text
|
| 26 |
metrics:
|
| 27 |
-
- name:
|
| 28 |
-
type:
|
| 29 |
-
value:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 30 |
- name: Loss
|
| 31 |
type: cross-entropy
|
| 32 |
-
value:
|
| 33 |
---
|
| 34 |
|
| 35 |
# OpenPeerLLM: A Decentralized Large Language Model
|
|
@@ -89,7 +95,10 @@ The model is trained on the [awesome-chatgpt-prompts](https://huggingface.co/dat
|
|
| 89 |
## Evaluation Results
|
| 90 |
|
| 91 |
Initial testing shows promising results:
|
| 92 |
-
- **
|
|
|
|
|
|
|
|
|
|
| 93 |
- **Accuracy:** 78.5%
|
| 94 |
- **Response Coherence:** 82.1%
|
| 95 |
- **Peer Network Efficiency:** 91.2%
|
|
|
|
| 24 |
name: Custom Text Dataset
|
| 25 |
type: text
|
| 26 |
metrics:
|
| 27 |
+
- name: Epoch
|
| 28 |
+
type: number
|
| 29 |
+
value: 2
|
| 30 |
+
- name: Model Size
|
| 31 |
+
type: text
|
| 32 |
+
value: "1.82 GB"
|
| 33 |
+
- name: Run Time
|
| 34 |
+
type: text
|
| 35 |
+
value: "2.5 minutes on Intel UHD Graphics 630"
|
| 36 |
- name: Loss
|
| 37 |
type: cross-entropy
|
| 38 |
+
value: 7.11
|
| 39 |
---
|
| 40 |
|
| 41 |
# OpenPeerLLM: A Decentralized Large Language Model
|
|
|
|
| 95 |
## Evaluation Results
|
| 96 |
|
| 97 |
Initial testing shows promising results:
|
| 98 |
+
- **Final Epoch:** 2
|
| 99 |
+
- **Model Size:** 1.82 GB
|
| 100 |
+
- **Total Run Time:** 2.5 minutes on Intel UHD Graphics 630
|
| 101 |
+
- **Loss:** 7.11
|
| 102 |
- **Accuracy:** 78.5%
|
| 103 |
- **Response Coherence:** 82.1%
|
| 104 |
- **Peer Network Efficiency:** 91.2%
|