update model card README.md
Browse files
README.md
CHANGED
|
@@ -13,7 +13,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 13 |
|
| 14 |
This model is a fine-tuned version of [mgh6/esm_cluster_35M_linear](https://huggingface.co/mgh6/esm_cluster_35M_linear) on the None dataset.
|
| 15 |
It achieves the following results on the evaluation set:
|
| 16 |
-
- Loss: 0.
|
| 17 |
|
| 18 |
## Model description
|
| 19 |
|
|
@@ -44,65 +44,65 @@ The following hyperparameters were used during training:
|
|
| 44 |
|
| 45 |
| Training Loss | Epoch | Step | Validation Loss |
|
| 46 |
|:-------------:|:-----:|:----:|:---------------:|
|
| 47 |
-
| 0.
|
| 48 |
-
| 0.
|
| 49 |
-
| 0.
|
| 50 |
-
| 0.
|
| 51 |
-
| 0.
|
| 52 |
-
| 0.
|
| 53 |
-
| 0.
|
| 54 |
-
| 0.0664 | 1.07 | 800 | 0.
|
| 55 |
-
| 0.
|
| 56 |
-
| 0.
|
| 57 |
-
| 0.
|
| 58 |
-
| 0.
|
| 59 |
-
| 0.
|
| 60 |
-
| 0.
|
| 61 |
-
| 0.
|
| 62 |
-
| 0.
|
| 63 |
-
| 0.
|
| 64 |
-
| 0.
|
| 65 |
-
| 0.
|
| 66 |
-
| 0.
|
| 67 |
-
| 0.
|
| 68 |
-
| 0.
|
| 69 |
-
| 0.
|
| 70 |
-
| 0.
|
| 71 |
-
| 0.
|
| 72 |
-
| 0.
|
| 73 |
-
| 0.
|
| 74 |
-
| 0.
|
| 75 |
-
| 0.
|
| 76 |
-
| 0.
|
| 77 |
-
| 0.
|
| 78 |
-
| 0.
|
| 79 |
-
| 0.
|
| 80 |
-
| 0.
|
| 81 |
-
| 0.
|
| 82 |
-
| 0.
|
| 83 |
-
| 0.
|
| 84 |
-
| 0.
|
| 85 |
-
| 0.
|
| 86 |
-
| 0.
|
| 87 |
-
| 0.
|
| 88 |
-
| 0.
|
| 89 |
-
| 0.
|
| 90 |
-
| 0.
|
| 91 |
-
| 0.
|
| 92 |
-
| 0.
|
| 93 |
-
| 0.
|
| 94 |
-
| 0.
|
| 95 |
-
| 0.
|
| 96 |
-
| 0.
|
| 97 |
-
| 0.
|
| 98 |
-
| 0.
|
| 99 |
-
| 0.
|
| 100 |
-
| 0.
|
| 101 |
-
| 0.
|
| 102 |
-
| 0.
|
| 103 |
-
| 0.
|
| 104 |
-
| 0.
|
| 105 |
-
| 0.
|
| 106 |
|
| 107 |
|
| 108 |
### Framework versions
|
|
|
|
| 13 |
|
| 14 |
This model is a fine-tuned version of [mgh6/esm_cluster_35M_linear](https://huggingface.co/mgh6/esm_cluster_35M_linear) on the None dataset.
|
| 15 |
It achieves the following results on the evaluation set:
|
| 16 |
+
- Loss: 0.1555
|
| 17 |
|
| 18 |
## Model description
|
| 19 |
|
|
|
|
| 44 |
|
| 45 |
| Training Loss | Epoch | Step | Validation Loss |
|
| 46 |
|:-------------:|:-----:|:----:|:---------------:|
|
| 47 |
+
| 0.1711 | 0.13 | 100 | 0.1961 |
|
| 48 |
+
| 0.1149 | 0.27 | 200 | 0.1749 |
|
| 49 |
+
| 0.0973 | 0.4 | 300 | 0.1829 |
|
| 50 |
+
| 0.0964 | 0.54 | 400 | 0.1658 |
|
| 51 |
+
| 0.088 | 0.67 | 500 | 0.1763 |
|
| 52 |
+
| 0.0832 | 0.81 | 600 | 0.1507 |
|
| 53 |
+
| 0.0841 | 0.94 | 700 | 0.1618 |
|
| 54 |
+
| 0.0664 | 1.07 | 800 | 0.1660 |
|
| 55 |
+
| 0.0554 | 1.21 | 900 | 0.1299 |
|
| 56 |
+
| 0.0643 | 1.34 | 1000 | 0.1604 |
|
| 57 |
+
| 0.0599 | 1.48 | 1100 | 0.1578 |
|
| 58 |
+
| 0.0588 | 1.61 | 1200 | 0.1382 |
|
| 59 |
+
| 0.0608 | 1.74 | 1300 | 0.1368 |
|
| 60 |
+
| 0.0589 | 1.88 | 1400 | 0.1370 |
|
| 61 |
+
| 0.0535 | 2.01 | 1500 | 0.1322 |
|
| 62 |
+
| 0.0395 | 2.15 | 1600 | 0.1287 |
|
| 63 |
+
| 0.0415 | 2.28 | 1700 | 0.1458 |
|
| 64 |
+
| 0.0407 | 2.42 | 1800 | 0.1345 |
|
| 65 |
+
| 0.0379 | 2.55 | 1900 | 0.1312 |
|
| 66 |
+
| 0.0444 | 2.68 | 2000 | 0.1666 |
|
| 67 |
+
| 0.0373 | 2.82 | 2100 | 0.1624 |
|
| 68 |
+
| 0.0404 | 2.95 | 2200 | 0.1438 |
|
| 69 |
+
| 0.0288 | 3.09 | 2300 | 0.1380 |
|
| 70 |
+
| 0.0314 | 3.22 | 2400 | 0.1315 |
|
| 71 |
+
| 0.0259 | 3.36 | 2500 | 0.1300 |
|
| 72 |
+
| 0.0304 | 3.49 | 2600 | 0.1414 |
|
| 73 |
+
| 0.0311 | 3.62 | 2700 | 0.1361 |
|
| 74 |
+
| 0.0302 | 3.76 | 2800 | 0.1306 |
|
| 75 |
+
| 0.0316 | 3.89 | 2900 | 0.1557 |
|
| 76 |
+
| 0.0275 | 4.03 | 3000 | 0.1556 |
|
| 77 |
+
| 0.0179 | 4.16 | 3100 | 0.1437 |
|
| 78 |
+
| 0.019 | 4.3 | 3200 | 0.1587 |
|
| 79 |
+
| 0.0189 | 4.43 | 3300 | 0.1411 |
|
| 80 |
+
| 0.0219 | 4.56 | 3400 | 0.1579 |
|
| 81 |
+
| 0.018 | 4.7 | 3500 | 0.1577 |
|
| 82 |
+
| 0.0209 | 4.83 | 3600 | 0.1582 |
|
| 83 |
+
| 0.0168 | 4.97 | 3700 | 0.1570 |
|
| 84 |
+
| 0.0162 | 5.1 | 3800 | 0.1462 |
|
| 85 |
+
| 0.0104 | 5.23 | 3900 | 0.1739 |
|
| 86 |
+
| 0.0125 | 5.37 | 4000 | 0.1424 |
|
| 87 |
+
| 0.0101 | 5.5 | 4100 | 0.1482 |
|
| 88 |
+
| 0.0119 | 5.64 | 4200 | 0.1438 |
|
| 89 |
+
| 0.0137 | 5.77 | 4300 | 0.1552 |
|
| 90 |
+
| 0.0126 | 5.91 | 4400 | 0.1508 |
|
| 91 |
+
| 0.0114 | 6.04 | 4500 | 0.1420 |
|
| 92 |
+
| 0.0072 | 6.17 | 4600 | 0.1662 |
|
| 93 |
+
| 0.006 | 6.31 | 4700 | 0.1494 |
|
| 94 |
+
| 0.0076 | 6.44 | 4800 | 0.1659 |
|
| 95 |
+
| 0.007 | 6.58 | 4900 | 0.1605 |
|
| 96 |
+
| 0.0061 | 6.71 | 5000 | 0.1573 |
|
| 97 |
+
| 0.0062 | 6.85 | 5100 | 0.1553 |
|
| 98 |
+
| 0.0053 | 6.98 | 5200 | 0.1544 |
|
| 99 |
+
| 0.0036 | 7.11 | 5300 | 0.1587 |
|
| 100 |
+
| 0.0035 | 7.25 | 5400 | 0.1572 |
|
| 101 |
+
| 0.0035 | 7.38 | 5500 | 0.1556 |
|
| 102 |
+
| 0.0033 | 7.52 | 5600 | 0.1537 |
|
| 103 |
+
| 0.0016 | 7.65 | 5700 | 0.1548 |
|
| 104 |
+
| 0.0027 | 7.79 | 5800 | 0.1553 |
|
| 105 |
+
| 0.0033 | 7.92 | 5900 | 0.1555 |
|
| 106 |
|
| 107 |
|
| 108 |
### Framework versions
|
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 136054377
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6ea40217f67ca382b61efa1c568c89657678680f1ecb1e0a5d7975636ab04bc2
|
| 3 |
size 136054377
|
runs/Dec12_06-44-17_bc13u23n1/events.out.tfevents.1702385061.bc13u23n1.50146.0
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c3cabc2bb4c538a5ddddc634ca857528a2af93d736ffd5e8f2b8ae39832bfe09
|
| 3 |
+
size 29802
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 3963
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f3803f6dac1ee3028c8c5faba22a8e4b47c11dc17677ffa768a675fd6a051585
|
| 3 |
size 3963
|