Model save
Browse files
README.md
CHANGED
|
@@ -4,10 +4,8 @@ base_model: romainlhardy/roberta-large-finetuned-ner
|
|
| 4 |
tags:
|
| 5 |
- generated_from_trainer
|
| 6 |
model-index:
|
| 7 |
-
- name: roberta-large-finetuned-ner-finetuned-ner
|
| 8 |
results: []
|
| 9 |
-
datasets:
|
| 10 |
-
- surrey-nlp/PLOD-filtered
|
| 11 |
---
|
| 12 |
|
| 13 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
@@ -15,7 +13,18 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 15 |
|
| 16 |
# roberta-large-finetuned-ner-finetuned-ner
|
| 17 |
|
| 18 |
-
This model is a fine-tuned version of [romainlhardy/roberta-large-finetuned-ner](https://huggingface.co/romainlhardy/roberta-large-finetuned-ner) on
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 19 |
|
| 20 |
## Model description
|
| 21 |
|
|
@@ -40,11 +49,11 @@ The following hyperparameters were used during training:
|
|
| 40 |
- seed: 42
|
| 41 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 42 |
- lr_scheduler_type: linear
|
| 43 |
-
- num_epochs:
|
| 44 |
|
| 45 |
### Framework versions
|
| 46 |
|
| 47 |
- Transformers 4.38.2
|
| 48 |
- Pytorch 2.2.1+cu121
|
| 49 |
- Datasets 2.18.0
|
| 50 |
-
- Tokenizers 0.15.2
|
|
|
|
| 4 |
tags:
|
| 5 |
- generated_from_trainer
|
| 6 |
model-index:
|
| 7 |
+
- name: roberta-large-finetuned-ner-finetuned-ner
|
| 8 |
results: []
|
|
|
|
|
|
|
| 9 |
---
|
| 10 |
|
| 11 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
|
| 13 |
|
| 14 |
# roberta-large-finetuned-ner-finetuned-ner
|
| 15 |
|
| 16 |
+
This model is a fine-tuned version of [romainlhardy/roberta-large-finetuned-ner](https://huggingface.co/romainlhardy/roberta-large-finetuned-ner) on an unknown dataset.
|
| 17 |
+
It achieves the following results on the evaluation set:
|
| 18 |
+
- eval_loss: 0.1264
|
| 19 |
+
- eval_precision: 0.9593
|
| 20 |
+
- eval_recall: 0.9473
|
| 21 |
+
- eval_f1: 0.9533
|
| 22 |
+
- eval_accuracy: 0.9488
|
| 23 |
+
- eval_runtime: 588.3236
|
| 24 |
+
- eval_samples_per_second: 41.032
|
| 25 |
+
- eval_steps_per_second: 10.258
|
| 26 |
+
- epoch: 0.59
|
| 27 |
+
- step: 16493
|
| 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: 2
|
| 53 |
|
| 54 |
### Framework versions
|
| 55 |
|
| 56 |
- Transformers 4.38.2
|
| 57 |
- Pytorch 2.2.1+cu121
|
| 58 |
- Datasets 2.18.0
|
| 59 |
+
- Tokenizers 0.15.2
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1417309084
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f923ae3e2b022a35b6dea6cb6c2df03c641f275cca135f3a17a768106c0d2f04
|
| 3 |
size 1417309084
|
runs/Apr10_09-39-34_d628b22b3f8d/events.out.tfevents.1712742008.d628b22b3f8d.993.3
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8f3312d2403fc2986205261a9046c26194a8a69158bff992e3312e6c0942b627
|
| 3 |
+
size 13110
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 4920
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e5c8a240f427358eddf460cd3e0592f7b4992994ab93a63e441f759b8aa4242d
|
| 3 |
size 4920
|