End of training
Browse files- README.md +22 -2
- adapter_model.safetensors +1 -1
README.md
CHANGED
|
@@ -3,6 +3,11 @@ library_name: peft
|
|
| 3 |
tags:
|
| 4 |
- generated_from_trainer
|
| 5 |
base_model: NousResearch/Llama-2-7b-hf
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 6 |
model-index:
|
| 7 |
- name: llama-2-ner
|
| 8 |
results: []
|
|
@@ -14,6 +19,12 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 14 |
# llama-2-ner
|
| 15 |
|
| 16 |
This model is a fine-tuned version of [NousResearch/Llama-2-7b-hf](https://huggingface.co/NousResearch/Llama-2-7b-hf) on an unknown dataset.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 17 |
|
| 18 |
## Model description
|
| 19 |
|
|
@@ -38,13 +49,22 @@ The following hyperparameters were used during training:
|
|
| 38 |
- seed: 42
|
| 39 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 40 |
- lr_scheduler_type: linear
|
| 41 |
-
- num_epochs:
|
| 42 |
|
| 43 |
### Training results
|
| 44 |
|
| 45 |
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|
| 46 |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
|
| 47 |
-
| No log | 1.0 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 48 |
|
| 49 |
|
| 50 |
### Framework versions
|
|
|
|
| 3 |
tags:
|
| 4 |
- generated_from_trainer
|
| 5 |
base_model: NousResearch/Llama-2-7b-hf
|
| 6 |
+
metrics:
|
| 7 |
+
- precision
|
| 8 |
+
- recall
|
| 9 |
+
- f1
|
| 10 |
+
- accuracy
|
| 11 |
model-index:
|
| 12 |
- name: llama-2-ner
|
| 13 |
results: []
|
|
|
|
| 19 |
# llama-2-ner
|
| 20 |
|
| 21 |
This model is a fine-tuned version of [NousResearch/Llama-2-7b-hf](https://huggingface.co/NousResearch/Llama-2-7b-hf) on an unknown dataset.
|
| 22 |
+
It achieves the following results on the evaluation set:
|
| 23 |
+
- Loss: 0.1194
|
| 24 |
+
- Precision: 0.2718
|
| 25 |
+
- Recall: 0.2789
|
| 26 |
+
- F1: 0.2753
|
| 27 |
+
- Accuracy: 0.9676
|
| 28 |
|
| 29 |
## Model description
|
| 30 |
|
|
|
|
| 49 |
- seed: 42
|
| 50 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 51 |
- lr_scheduler_type: linear
|
| 52 |
+
- num_epochs: 10
|
| 53 |
|
| 54 |
### Training results
|
| 55 |
|
| 56 |
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|
| 57 |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
|
| 58 |
+
| No log | 1.0 | 39 | 0.1625 | 0.0 | 0.0 | 0.0 | 0.9671 |
|
| 59 |
+
| No log | 2.0 | 78 | 0.1430 | 0.0 | 0.0 | 0.0 | 0.9673 |
|
| 60 |
+
| No log | 3.0 | 117 | 0.1297 | 0.3235 | 0.0579 | 0.0982 | 0.9674 |
|
| 61 |
+
| No log | 4.0 | 156 | 0.1158 | 0.3015 | 0.2158 | 0.2515 | 0.9676 |
|
| 62 |
+
| No log | 5.0 | 195 | 0.1197 | 0.45 | 0.0947 | 0.1565 | 0.9690 |
|
| 63 |
+
| No log | 6.0 | 234 | 0.1105 | 0.2526 | 0.2579 | 0.2552 | 0.9664 |
|
| 64 |
+
| No log | 7.0 | 273 | 0.1071 | 0.2632 | 0.2632 | 0.2632 | 0.9674 |
|
| 65 |
+
| No log | 8.0 | 312 | 0.1170 | 0.3030 | 0.2632 | 0.2817 | 0.9687 |
|
| 66 |
+
| No log | 9.0 | 351 | 0.1165 | 0.2512 | 0.2737 | 0.2620 | 0.9665 |
|
| 67 |
+
| No log | 10.0 | 390 | 0.1194 | 0.2718 | 0.2789 | 0.2753 | 0.9676 |
|
| 68 |
|
| 69 |
|
| 70 |
### Framework versions
|
adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 33596518
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0baeebfe4850bc6bb6551f6cfcf01fc812d5a26d0e8a392610d4028a6c2ebe82
|
| 3 |
size 33596518
|