Upload folder using huggingface_hub
Browse files- README.md +4 -4
- checkpoint-130/model.safetensors +1 -1
- checkpoint-130/optimizer.pt +1 -1
- checkpoint-130/trainer_state.json +35 -35
- checkpoint-195/model.safetensors +1 -1
- checkpoint-195/optimizer.pt +1 -1
- checkpoint-195/trainer_state.json +51 -51
- model.safetensors +1 -1
- pytorch_model.bin +1 -1
README.md
CHANGED
|
@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 16 |
|
| 17 |
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
|
| 18 |
It achieves the following results on the evaluation set:
|
| 19 |
-
- Loss: 0.
|
| 20 |
|
| 21 |
## Model description
|
| 22 |
|
|
@@ -47,9 +47,9 @@ The following hyperparameters were used during training:
|
|
| 47 |
|
| 48 |
| Training Loss | Epoch | Step | Validation Loss |
|
| 49 |
|:-------------:|:-----:|:----:|:---------------:|
|
| 50 |
-
| 0.
|
| 51 |
-
| 0.
|
| 52 |
-
| 0.
|
| 53 |
|
| 54 |
|
| 55 |
### Framework versions
|
|
|
|
| 16 |
|
| 17 |
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
|
| 18 |
It achieves the following results on the evaluation set:
|
| 19 |
+
- Loss: 0.0074
|
| 20 |
|
| 21 |
## Model description
|
| 22 |
|
|
|
|
| 47 |
|
| 48 |
| Training Loss | Epoch | Step | Validation Loss |
|
| 49 |
|:-------------:|:-----:|:----:|:---------------:|
|
| 50 |
+
| 0.123 | 1.0 | 65 | 0.0443 |
|
| 51 |
+
| 0.0155 | 2.0 | 130 | 0.0094 |
|
| 52 |
+
| 0.012 | 3.0 | 195 | 0.0074 |
|
| 53 |
|
| 54 |
|
| 55 |
### Framework versions
|
checkpoint-130/model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 265491420
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3daa9eea808ffe8225bd452638e5dc64fdfc4f4a7c167334f74d80671c30bc17
|
| 3 |
size 265491420
|
checkpoint-130/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 531042682
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b036d5af97deac083d91313d1cdc88e8593cddcc760f5a2ef3aa1545da5444c5
|
| 3 |
size 531042682
|
checkpoint-130/trainer_state.json
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
{
|
| 2 |
"best_global_step": 130,
|
| 3 |
-
"best_metric": 0.
|
| 4 |
"best_model_checkpoint": "./multitask_model/checkpoint-130",
|
| 5 |
"epoch": 2.0,
|
| 6 |
"eval_steps": 500,
|
|
@@ -11,109 +11,109 @@
|
|
| 11 |
"log_history": [
|
| 12 |
{
|
| 13 |
"epoch": 0.15384615384615385,
|
| 14 |
-
"grad_norm":
|
| 15 |
"learning_rate": 1.907692307692308e-05,
|
| 16 |
-
"loss": 2.
|
| 17 |
"step": 10
|
| 18 |
},
|
| 19 |
{
|
| 20 |
"epoch": 0.3076923076923077,
|
| 21 |
-
"grad_norm":
|
| 22 |
"learning_rate": 1.8051282051282053e-05,
|
| 23 |
-
"loss": 1.
|
| 24 |
"step": 20
|
| 25 |
},
|
| 26 |
{
|
| 27 |
"epoch": 0.46153846153846156,
|
| 28 |
-
"grad_norm": 6.
|
| 29 |
"learning_rate": 1.7025641025641026e-05,
|
| 30 |
-
"loss": 1.
|
| 31 |
"step": 30
|
| 32 |
},
|
| 33 |
{
|
| 34 |
"epoch": 0.6153846153846154,
|
| 35 |
-
"grad_norm": 4.
|
| 36 |
"learning_rate": 1.6000000000000003e-05,
|
| 37 |
-
"loss": 0.
|
| 38 |
"step": 40
|
| 39 |
},
|
| 40 |
{
|
| 41 |
"epoch": 0.7692307692307693,
|
| 42 |
-
"grad_norm": 3.
|
| 43 |
"learning_rate": 1.4974358974358976e-05,
|
| 44 |
-
"loss": 0.
|
| 45 |
"step": 50
|
| 46 |
},
|
| 47 |
{
|
| 48 |
"epoch": 0.9230769230769231,
|
| 49 |
-
"grad_norm": 1.
|
| 50 |
"learning_rate": 1.3948717948717949e-05,
|
| 51 |
-
"loss": 0.
|
| 52 |
"step": 60
|
| 53 |
},
|
| 54 |
{
|
| 55 |
"epoch": 1.0,
|
| 56 |
-
"eval_loss": 0.
|
| 57 |
-
"eval_runtime": 27.
|
| 58 |
-
"eval_samples_per_second": 4.
|
| 59 |
-
"eval_steps_per_second": 0.
|
| 60 |
"step": 65
|
| 61 |
},
|
| 62 |
{
|
| 63 |
"epoch": 1.0769230769230769,
|
| 64 |
-
"grad_norm":
|
| 65 |
"learning_rate": 1.2923076923076925e-05,
|
| 66 |
-
"loss": 0.
|
| 67 |
"step": 70
|
| 68 |
},
|
| 69 |
{
|
| 70 |
"epoch": 1.2307692307692308,
|
| 71 |
-
"grad_norm": 0.
|
| 72 |
"learning_rate": 1.1897435897435898e-05,
|
| 73 |
-
"loss": 0.
|
| 74 |
"step": 80
|
| 75 |
},
|
| 76 |
{
|
| 77 |
"epoch": 1.3846153846153846,
|
| 78 |
-
"grad_norm": 0.
|
| 79 |
"learning_rate": 1.0871794871794871e-05,
|
| 80 |
-
"loss": 0.
|
| 81 |
"step": 90
|
| 82 |
},
|
| 83 |
{
|
| 84 |
"epoch": 1.5384615384615383,
|
| 85 |
-
"grad_norm": 0.
|
| 86 |
"learning_rate": 9.846153846153848e-06,
|
| 87 |
-
"loss": 0.
|
| 88 |
"step": 100
|
| 89 |
},
|
| 90 |
{
|
| 91 |
"epoch": 1.6923076923076923,
|
| 92 |
-
"grad_norm": 0.
|
| 93 |
"learning_rate": 8.820512820512821e-06,
|
| 94 |
-
"loss": 0.
|
| 95 |
"step": 110
|
| 96 |
},
|
| 97 |
{
|
| 98 |
"epoch": 1.8461538461538463,
|
| 99 |
-
"grad_norm": 0.
|
| 100 |
"learning_rate": 7.794871794871796e-06,
|
| 101 |
-
"loss": 0.
|
| 102 |
"step": 120
|
| 103 |
},
|
| 104 |
{
|
| 105 |
"epoch": 2.0,
|
| 106 |
-
"grad_norm": 0.
|
| 107 |
"learning_rate": 6.76923076923077e-06,
|
| 108 |
-
"loss": 0.
|
| 109 |
"step": 130
|
| 110 |
},
|
| 111 |
{
|
| 112 |
"epoch": 2.0,
|
| 113 |
-
"eval_loss": 0.
|
| 114 |
-
"eval_runtime":
|
| 115 |
-
"eval_samples_per_second": 4.
|
| 116 |
-
"eval_steps_per_second": 0.
|
| 117 |
"step": 130
|
| 118 |
}
|
| 119 |
],
|
|
|
|
| 1 |
{
|
| 2 |
"best_global_step": 130,
|
| 3 |
+
"best_metric": 0.009373976849019527,
|
| 4 |
"best_model_checkpoint": "./multitask_model/checkpoint-130",
|
| 5 |
"epoch": 2.0,
|
| 6 |
"eval_steps": 500,
|
|
|
|
| 11 |
"log_history": [
|
| 12 |
{
|
| 13 |
"epoch": 0.15384615384615385,
|
| 14 |
+
"grad_norm": 9.446246147155762,
|
| 15 |
"learning_rate": 1.907692307692308e-05,
|
| 16 |
+
"loss": 2.5127,
|
| 17 |
"step": 10
|
| 18 |
},
|
| 19 |
{
|
| 20 |
"epoch": 0.3076923076923077,
|
| 21 |
+
"grad_norm": 9.2477388381958,
|
| 22 |
"learning_rate": 1.8051282051282053e-05,
|
| 23 |
+
"loss": 1.7956,
|
| 24 |
"step": 20
|
| 25 |
},
|
| 26 |
{
|
| 27 |
"epoch": 0.46153846153846156,
|
| 28 |
+
"grad_norm": 6.766201972961426,
|
| 29 |
"learning_rate": 1.7025641025641026e-05,
|
| 30 |
+
"loss": 1.0579,
|
| 31 |
"step": 30
|
| 32 |
},
|
| 33 |
{
|
| 34 |
"epoch": 0.6153846153846154,
|
| 35 |
+
"grad_norm": 4.436944007873535,
|
| 36 |
"learning_rate": 1.6000000000000003e-05,
|
| 37 |
+
"loss": 0.5065,
|
| 38 |
"step": 40
|
| 39 |
},
|
| 40 |
{
|
| 41 |
"epoch": 0.7692307692307693,
|
| 42 |
+
"grad_norm": 3.0510072708129883,
|
| 43 |
"learning_rate": 1.4974358974358976e-05,
|
| 44 |
+
"loss": 0.2671,
|
| 45 |
"step": 50
|
| 46 |
},
|
| 47 |
{
|
| 48 |
"epoch": 0.9230769230769231,
|
| 49 |
+
"grad_norm": 1.749082326889038,
|
| 50 |
"learning_rate": 1.3948717948717949e-05,
|
| 51 |
+
"loss": 0.123,
|
| 52 |
"step": 60
|
| 53 |
},
|
| 54 |
{
|
| 55 |
"epoch": 1.0,
|
| 56 |
+
"eval_loss": 0.04429418966174126,
|
| 57 |
+
"eval_runtime": 27.7256,
|
| 58 |
+
"eval_samples_per_second": 4.653,
|
| 59 |
+
"eval_steps_per_second": 0.613,
|
| 60 |
"step": 65
|
| 61 |
},
|
| 62 |
{
|
| 63 |
"epoch": 1.0769230769230769,
|
| 64 |
+
"grad_norm": 0.8964239358901978,
|
| 65 |
"learning_rate": 1.2923076923076925e-05,
|
| 66 |
+
"loss": 0.0703,
|
| 67 |
"step": 70
|
| 68 |
},
|
| 69 |
{
|
| 70 |
"epoch": 1.2307692307692308,
|
| 71 |
+
"grad_norm": 0.4807032644748688,
|
| 72 |
"learning_rate": 1.1897435897435898e-05,
|
| 73 |
+
"loss": 0.0427,
|
| 74 |
"step": 80
|
| 75 |
},
|
| 76 |
{
|
| 77 |
"epoch": 1.3846153846153846,
|
| 78 |
+
"grad_norm": 0.2845948338508606,
|
| 79 |
"learning_rate": 1.0871794871794871e-05,
|
| 80 |
+
"loss": 0.0287,
|
| 81 |
"step": 90
|
| 82 |
},
|
| 83 |
{
|
| 84 |
"epoch": 1.5384615384615383,
|
| 85 |
+
"grad_norm": 0.2532653212547302,
|
| 86 |
"learning_rate": 9.846153846153848e-06,
|
| 87 |
+
"loss": 0.0802,
|
| 88 |
"step": 100
|
| 89 |
},
|
| 90 |
{
|
| 91 |
"epoch": 1.6923076923076923,
|
| 92 |
+
"grad_norm": 0.21684786677360535,
|
| 93 |
"learning_rate": 8.820512820512821e-06,
|
| 94 |
+
"loss": 0.0193,
|
| 95 |
"step": 110
|
| 96 |
},
|
| 97 |
{
|
| 98 |
"epoch": 1.8461538461538463,
|
| 99 |
+
"grad_norm": 0.21939833462238312,
|
| 100 |
"learning_rate": 7.794871794871796e-06,
|
| 101 |
+
"loss": 0.0167,
|
| 102 |
"step": 120
|
| 103 |
},
|
| 104 |
{
|
| 105 |
"epoch": 2.0,
|
| 106 |
+
"grad_norm": 0.30571332573890686,
|
| 107 |
"learning_rate": 6.76923076923077e-06,
|
| 108 |
+
"loss": 0.0155,
|
| 109 |
"step": 130
|
| 110 |
},
|
| 111 |
{
|
| 112 |
"epoch": 2.0,
|
| 113 |
+
"eval_loss": 0.009373976849019527,
|
| 114 |
+
"eval_runtime": 27.7826,
|
| 115 |
+
"eval_samples_per_second": 4.643,
|
| 116 |
+
"eval_steps_per_second": 0.612,
|
| 117 |
"step": 130
|
| 118 |
}
|
| 119 |
],
|
checkpoint-195/model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 265491420
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ad40914ec1d6e82ded9ea1dfc2e3003fecb50caae7cea8310a475a0fd18cdb01
|
| 3 |
size 265491420
|
checkpoint-195/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 531042682
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:00c1b8e0118e17d33b02a6f3ae1e5b5af5d8be12b098ef9301f21e82ef0fffdd
|
| 3 |
size 531042682
|
checkpoint-195/trainer_state.json
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
{
|
| 2 |
"best_global_step": 195,
|
| 3 |
-
"best_metric": 0.
|
| 4 |
"best_model_checkpoint": "./multitask_model/checkpoint-195",
|
| 5 |
"epoch": 3.0,
|
| 6 |
"eval_steps": 500,
|
|
@@ -11,159 +11,159 @@
|
|
| 11 |
"log_history": [
|
| 12 |
{
|
| 13 |
"epoch": 0.15384615384615385,
|
| 14 |
-
"grad_norm":
|
| 15 |
"learning_rate": 1.907692307692308e-05,
|
| 16 |
-
"loss": 2.
|
| 17 |
"step": 10
|
| 18 |
},
|
| 19 |
{
|
| 20 |
"epoch": 0.3076923076923077,
|
| 21 |
-
"grad_norm":
|
| 22 |
"learning_rate": 1.8051282051282053e-05,
|
| 23 |
-
"loss": 1.
|
| 24 |
"step": 20
|
| 25 |
},
|
| 26 |
{
|
| 27 |
"epoch": 0.46153846153846156,
|
| 28 |
-
"grad_norm": 6.
|
| 29 |
"learning_rate": 1.7025641025641026e-05,
|
| 30 |
-
"loss": 1.
|
| 31 |
"step": 30
|
| 32 |
},
|
| 33 |
{
|
| 34 |
"epoch": 0.6153846153846154,
|
| 35 |
-
"grad_norm": 4.
|
| 36 |
"learning_rate": 1.6000000000000003e-05,
|
| 37 |
-
"loss": 0.
|
| 38 |
"step": 40
|
| 39 |
},
|
| 40 |
{
|
| 41 |
"epoch": 0.7692307692307693,
|
| 42 |
-
"grad_norm": 3.
|
| 43 |
"learning_rate": 1.4974358974358976e-05,
|
| 44 |
-
"loss": 0.
|
| 45 |
"step": 50
|
| 46 |
},
|
| 47 |
{
|
| 48 |
"epoch": 0.9230769230769231,
|
| 49 |
-
"grad_norm": 1.
|
| 50 |
"learning_rate": 1.3948717948717949e-05,
|
| 51 |
-
"loss": 0.
|
| 52 |
"step": 60
|
| 53 |
},
|
| 54 |
{
|
| 55 |
"epoch": 1.0,
|
| 56 |
-
"eval_loss": 0.
|
| 57 |
-
"eval_runtime": 27.
|
| 58 |
-
"eval_samples_per_second": 4.
|
| 59 |
-
"eval_steps_per_second": 0.
|
| 60 |
"step": 65
|
| 61 |
},
|
| 62 |
{
|
| 63 |
"epoch": 1.0769230769230769,
|
| 64 |
-
"grad_norm":
|
| 65 |
"learning_rate": 1.2923076923076925e-05,
|
| 66 |
-
"loss": 0.
|
| 67 |
"step": 70
|
| 68 |
},
|
| 69 |
{
|
| 70 |
"epoch": 1.2307692307692308,
|
| 71 |
-
"grad_norm": 0.
|
| 72 |
"learning_rate": 1.1897435897435898e-05,
|
| 73 |
-
"loss": 0.
|
| 74 |
"step": 80
|
| 75 |
},
|
| 76 |
{
|
| 77 |
"epoch": 1.3846153846153846,
|
| 78 |
-
"grad_norm": 0.
|
| 79 |
"learning_rate": 1.0871794871794871e-05,
|
| 80 |
-
"loss": 0.
|
| 81 |
"step": 90
|
| 82 |
},
|
| 83 |
{
|
| 84 |
"epoch": 1.5384615384615383,
|
| 85 |
-
"grad_norm": 0.
|
| 86 |
"learning_rate": 9.846153846153848e-06,
|
| 87 |
-
"loss": 0.
|
| 88 |
"step": 100
|
| 89 |
},
|
| 90 |
{
|
| 91 |
"epoch": 1.6923076923076923,
|
| 92 |
-
"grad_norm": 0.
|
| 93 |
"learning_rate": 8.820512820512821e-06,
|
| 94 |
-
"loss": 0.
|
| 95 |
"step": 110
|
| 96 |
},
|
| 97 |
{
|
| 98 |
"epoch": 1.8461538461538463,
|
| 99 |
-
"grad_norm": 0.
|
| 100 |
"learning_rate": 7.794871794871796e-06,
|
| 101 |
-
"loss": 0.
|
| 102 |
"step": 120
|
| 103 |
},
|
| 104 |
{
|
| 105 |
"epoch": 2.0,
|
| 106 |
-
"grad_norm": 0.
|
| 107 |
"learning_rate": 6.76923076923077e-06,
|
| 108 |
-
"loss": 0.
|
| 109 |
"step": 130
|
| 110 |
},
|
| 111 |
{
|
| 112 |
"epoch": 2.0,
|
| 113 |
-
"eval_loss": 0.
|
| 114 |
-
"eval_runtime":
|
| 115 |
-
"eval_samples_per_second": 4.
|
| 116 |
-
"eval_steps_per_second": 0.
|
| 117 |
"step": 130
|
| 118 |
},
|
| 119 |
{
|
| 120 |
"epoch": 2.1538461538461537,
|
| 121 |
-
"grad_norm": 0.
|
| 122 |
"learning_rate": 5.743589743589743e-06,
|
| 123 |
-
"loss": 0.
|
| 124 |
"step": 140
|
| 125 |
},
|
| 126 |
{
|
| 127 |
"epoch": 2.3076923076923075,
|
| 128 |
-
"grad_norm": 0.
|
| 129 |
"learning_rate": 4.717948717948718e-06,
|
| 130 |
-
"loss": 0.
|
| 131 |
"step": 150
|
| 132 |
},
|
| 133 |
{
|
| 134 |
"epoch": 2.4615384615384617,
|
| 135 |
-
"grad_norm": 0.
|
| 136 |
"learning_rate": 3.692307692307693e-06,
|
| 137 |
-
"loss": 0.
|
| 138 |
"step": 160
|
| 139 |
},
|
| 140 |
{
|
| 141 |
"epoch": 2.6153846153846154,
|
| 142 |
-
"grad_norm": 0.
|
| 143 |
"learning_rate": 2.666666666666667e-06,
|
| 144 |
-
"loss": 0.
|
| 145 |
"step": 170
|
| 146 |
},
|
| 147 |
{
|
| 148 |
"epoch": 2.769230769230769,
|
| 149 |
-
"grad_norm": 0.
|
| 150 |
"learning_rate": 1.6410256410256412e-06,
|
| 151 |
-
"loss": 0.
|
| 152 |
"step": 180
|
| 153 |
},
|
| 154 |
{
|
| 155 |
"epoch": 2.9230769230769234,
|
| 156 |
-
"grad_norm": 0.
|
| 157 |
"learning_rate": 6.153846153846155e-07,
|
| 158 |
-
"loss": 0.
|
| 159 |
"step": 190
|
| 160 |
},
|
| 161 |
{
|
| 162 |
"epoch": 3.0,
|
| 163 |
-
"eval_loss": 0.
|
| 164 |
-
"eval_runtime": 27.
|
| 165 |
-
"eval_samples_per_second": 4.
|
| 166 |
-
"eval_steps_per_second": 0.
|
| 167 |
"step": 195
|
| 168 |
}
|
| 169 |
],
|
|
|
|
| 1 |
{
|
| 2 |
"best_global_step": 195,
|
| 3 |
+
"best_metric": 0.007365252822637558,
|
| 4 |
"best_model_checkpoint": "./multitask_model/checkpoint-195",
|
| 5 |
"epoch": 3.0,
|
| 6 |
"eval_steps": 500,
|
|
|
|
| 11 |
"log_history": [
|
| 12 |
{
|
| 13 |
"epoch": 0.15384615384615385,
|
| 14 |
+
"grad_norm": 9.446246147155762,
|
| 15 |
"learning_rate": 1.907692307692308e-05,
|
| 16 |
+
"loss": 2.5127,
|
| 17 |
"step": 10
|
| 18 |
},
|
| 19 |
{
|
| 20 |
"epoch": 0.3076923076923077,
|
| 21 |
+
"grad_norm": 9.2477388381958,
|
| 22 |
"learning_rate": 1.8051282051282053e-05,
|
| 23 |
+
"loss": 1.7956,
|
| 24 |
"step": 20
|
| 25 |
},
|
| 26 |
{
|
| 27 |
"epoch": 0.46153846153846156,
|
| 28 |
+
"grad_norm": 6.766201972961426,
|
| 29 |
"learning_rate": 1.7025641025641026e-05,
|
| 30 |
+
"loss": 1.0579,
|
| 31 |
"step": 30
|
| 32 |
},
|
| 33 |
{
|
| 34 |
"epoch": 0.6153846153846154,
|
| 35 |
+
"grad_norm": 4.436944007873535,
|
| 36 |
"learning_rate": 1.6000000000000003e-05,
|
| 37 |
+
"loss": 0.5065,
|
| 38 |
"step": 40
|
| 39 |
},
|
| 40 |
{
|
| 41 |
"epoch": 0.7692307692307693,
|
| 42 |
+
"grad_norm": 3.0510072708129883,
|
| 43 |
"learning_rate": 1.4974358974358976e-05,
|
| 44 |
+
"loss": 0.2671,
|
| 45 |
"step": 50
|
| 46 |
},
|
| 47 |
{
|
| 48 |
"epoch": 0.9230769230769231,
|
| 49 |
+
"grad_norm": 1.749082326889038,
|
| 50 |
"learning_rate": 1.3948717948717949e-05,
|
| 51 |
+
"loss": 0.123,
|
| 52 |
"step": 60
|
| 53 |
},
|
| 54 |
{
|
| 55 |
"epoch": 1.0,
|
| 56 |
+
"eval_loss": 0.04429418966174126,
|
| 57 |
+
"eval_runtime": 27.7256,
|
| 58 |
+
"eval_samples_per_second": 4.653,
|
| 59 |
+
"eval_steps_per_second": 0.613,
|
| 60 |
"step": 65
|
| 61 |
},
|
| 62 |
{
|
| 63 |
"epoch": 1.0769230769230769,
|
| 64 |
+
"grad_norm": 0.8964239358901978,
|
| 65 |
"learning_rate": 1.2923076923076925e-05,
|
| 66 |
+
"loss": 0.0703,
|
| 67 |
"step": 70
|
| 68 |
},
|
| 69 |
{
|
| 70 |
"epoch": 1.2307692307692308,
|
| 71 |
+
"grad_norm": 0.4807032644748688,
|
| 72 |
"learning_rate": 1.1897435897435898e-05,
|
| 73 |
+
"loss": 0.0427,
|
| 74 |
"step": 80
|
| 75 |
},
|
| 76 |
{
|
| 77 |
"epoch": 1.3846153846153846,
|
| 78 |
+
"grad_norm": 0.2845948338508606,
|
| 79 |
"learning_rate": 1.0871794871794871e-05,
|
| 80 |
+
"loss": 0.0287,
|
| 81 |
"step": 90
|
| 82 |
},
|
| 83 |
{
|
| 84 |
"epoch": 1.5384615384615383,
|
| 85 |
+
"grad_norm": 0.2532653212547302,
|
| 86 |
"learning_rate": 9.846153846153848e-06,
|
| 87 |
+
"loss": 0.0802,
|
| 88 |
"step": 100
|
| 89 |
},
|
| 90 |
{
|
| 91 |
"epoch": 1.6923076923076923,
|
| 92 |
+
"grad_norm": 0.21684786677360535,
|
| 93 |
"learning_rate": 8.820512820512821e-06,
|
| 94 |
+
"loss": 0.0193,
|
| 95 |
"step": 110
|
| 96 |
},
|
| 97 |
{
|
| 98 |
"epoch": 1.8461538461538463,
|
| 99 |
+
"grad_norm": 0.21939833462238312,
|
| 100 |
"learning_rate": 7.794871794871796e-06,
|
| 101 |
+
"loss": 0.0167,
|
| 102 |
"step": 120
|
| 103 |
},
|
| 104 |
{
|
| 105 |
"epoch": 2.0,
|
| 106 |
+
"grad_norm": 0.30571332573890686,
|
| 107 |
"learning_rate": 6.76923076923077e-06,
|
| 108 |
+
"loss": 0.0155,
|
| 109 |
"step": 130
|
| 110 |
},
|
| 111 |
{
|
| 112 |
"epoch": 2.0,
|
| 113 |
+
"eval_loss": 0.009373976849019527,
|
| 114 |
+
"eval_runtime": 27.7826,
|
| 115 |
+
"eval_samples_per_second": 4.643,
|
| 116 |
+
"eval_steps_per_second": 0.612,
|
| 117 |
"step": 130
|
| 118 |
},
|
| 119 |
{
|
| 120 |
"epoch": 2.1538461538461537,
|
| 121 |
+
"grad_norm": 0.1729351133108139,
|
| 122 |
"learning_rate": 5.743589743589743e-06,
|
| 123 |
+
"loss": 0.0142,
|
| 124 |
"step": 140
|
| 125 |
},
|
| 126 |
{
|
| 127 |
"epoch": 2.3076923076923075,
|
| 128 |
+
"grad_norm": 0.17881758511066437,
|
| 129 |
"learning_rate": 4.717948717948718e-06,
|
| 130 |
+
"loss": 0.014,
|
| 131 |
"step": 150
|
| 132 |
},
|
| 133 |
{
|
| 134 |
"epoch": 2.4615384615384617,
|
| 135 |
+
"grad_norm": 0.169098898768425,
|
| 136 |
"learning_rate": 3.692307692307693e-06,
|
| 137 |
+
"loss": 0.0128,
|
| 138 |
"step": 160
|
| 139 |
},
|
| 140 |
{
|
| 141 |
"epoch": 2.6153846153846154,
|
| 142 |
+
"grad_norm": 0.1436285525560379,
|
| 143 |
"learning_rate": 2.666666666666667e-06,
|
| 144 |
+
"loss": 0.0126,
|
| 145 |
"step": 170
|
| 146 |
},
|
| 147 |
{
|
| 148 |
"epoch": 2.769230769230769,
|
| 149 |
+
"grad_norm": 0.18196596205234528,
|
| 150 |
"learning_rate": 1.6410256410256412e-06,
|
| 151 |
+
"loss": 0.0125,
|
| 152 |
"step": 180
|
| 153 |
},
|
| 154 |
{
|
| 155 |
"epoch": 2.9230769230769234,
|
| 156 |
+
"grad_norm": 0.12713010609149933,
|
| 157 |
"learning_rate": 6.153846153846155e-07,
|
| 158 |
+
"loss": 0.012,
|
| 159 |
"step": 190
|
| 160 |
},
|
| 161 |
{
|
| 162 |
"epoch": 3.0,
|
| 163 |
+
"eval_loss": 0.007365252822637558,
|
| 164 |
+
"eval_runtime": 27.7479,
|
| 165 |
+
"eval_samples_per_second": 4.649,
|
| 166 |
+
"eval_steps_per_second": 0.613,
|
| 167 |
"step": 195
|
| 168 |
}
|
| 169 |
],
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 265491420
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ad40914ec1d6e82ded9ea1dfc2e3003fecb50caae7cea8310a475a0fd18cdb01
|
| 3 |
size 265491420
|
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 265519274
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:22d98495169cd5fe7fae525f39d82ac1cc79d80eb28a1e9965faf169da9dbfd4
|
| 3 |
size 265519274
|