End of training
Browse files- README.md +203 -203
- model.safetensors +1 -1
- runs/Jul03_13-58-46_viridian/events.out.tfevents.1720015135.viridian.3874171.7 +3 -0
- training_args.bin +1 -1
README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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-
base_model: distilgpt2
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model-index:
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- name: StatementOfWork_Generator_Omega_BS_1024_2
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results: []
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@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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-
- Loss: 0.
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## Model description
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@@ -35,7 +35,7 @@ More information needed
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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-
- train_batch_size:
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- eval_batch_size: 10
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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@@ -46,206 +46,206 @@ The following hyperparameters were used during training:
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| Training Loss | Epoch | Step | Validation Loss |
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| 48 |
|:-------------:|:-----:|:----:|:---------------:|
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| 49 |
-
| No log | 1.0 |
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| No log | 2.0 |
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| No log | 3.0 |
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| No log | 4.0 |
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| No log | 5.0 |
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| No log | 6.0 |
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| No log | 7.0 |
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| No log | 8.0 |
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| No log | 9.0 |
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| No log | 10.0 |
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| No log | 11.0 |
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| 60 |
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| No log | 12.0 |
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| No log | 13.0 |
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| No log | 14.0 |
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| No log | 15.0 |
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| No log | 16.0 |
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| No log | 17.0 |
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| No log | 18.0 |
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| No log | 19.0 |
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| 68 |
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| No log | 20.0 |
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| 69 |
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| No log | 21.0 |
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| 70 |
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| No log | 22.0 |
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| 71 |
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| No log | 23.0 |
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| 72 |
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| No log | 24.0 |
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| 73 |
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| No log | 25.0 |
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| 74 |
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| No log | 26.0 |
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| No log | 27.0 |
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| No log | 28.0 |
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| 77 |
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| No log | 29.0 |
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| 78 |
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| No log | 30.0 |
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| 79 |
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| No log | 31.0 |
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| 80 |
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| No log | 32.0 |
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| 81 |
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| No log | 33.0 |
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| 82 |
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| No log | 34.0 |
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| 83 |
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| No log | 35.0 |
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| 84 |
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| No log | 36.0 |
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| 85 |
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| No log | 37.0 |
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| 86 |
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| No log | 38.0 |
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| 87 |
-
| No log | 39.0 |
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| 88 |
-
| No log | 40.0 |
|
| 89 |
-
| No log | 41.0 |
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| 90 |
-
| No log | 42.0 |
|
| 91 |
-
| No log | 43.0 |
|
| 92 |
-
| No log | 44.0 |
|
| 93 |
-
| No log | 45.0 |
|
| 94 |
-
| No log | 46.0 |
|
| 95 |
-
| No log | 47.0 |
|
| 96 |
-
| No log | 48.0 |
|
| 97 |
-
| No log | 49.0 |
|
| 98 |
-
| No log | 50.0 |
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| 99 |
-
| No log | 51.0 |
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| 100 |
-
| No log | 52.0 |
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| 101 |
-
| No log | 53.0 |
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| 102 |
-
| No log | 54.0 |
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| 103 |
-
| No log | 55.0 |
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| 104 |
-
| No log | 56.0 |
|
| 105 |
-
| No log | 57.0 |
|
| 106 |
-
| No log | 58.0 |
|
| 107 |
-
| No log | 59.0 |
|
| 108 |
-
| No log | 60.0 |
|
| 109 |
-
| No log | 61.0 |
|
| 110 |
-
| No log | 62.0 |
|
| 111 |
-
| No log | 63.0 |
|
| 112 |
-
| No log | 64.0 |
|
| 113 |
-
| No log | 65.0 |
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| 114 |
-
| No log | 66.0 |
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| 115 |
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| No log | 67.0 |
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| 116 |
-
| No log | 68.0 |
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| 117 |
-
| No log | 69.0 |
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| 118 |
-
| No log | 70.0 |
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| 119 |
-
| No log | 71.0 |
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| 120 |
-
| No log | 72.0 |
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| 121 |
-
| No log | 73.0 |
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| 122 |
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| No log | 74.0 |
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| No log | 75.0 |
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| 124 |
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| No log | 76.0 |
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| 125 |
-
| No log | 77.0 |
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| No log | 78.0 |
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| 127 |
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| No log | 79.0 |
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| 128 |
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| No log | 80.0 |
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| 129 |
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| No log | 81.0 |
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| 130 |
-
| No log | 82.0 |
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| 131 |
-
| No log | 83.0 |
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| 132 |
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| No log | 84.0 |
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| 133 |
-
| No log | 85.0 |
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| 134 |
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| No log | 86.0 |
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| 135 |
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| No log | 87.0 |
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| 136 |
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| No log | 88.0 |
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| 137 |
-
| No log | 89.0 |
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| 138 |
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| No log | 90.0 |
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| 139 |
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| No log | 91.0 |
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| 140 |
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| No log | 92.0 |
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| 141 |
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| No log | 93.0 |
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| 142 |
-
| No log | 94.0 |
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| 143 |
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| No log | 95.0 |
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| 144 |
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| No log | 96.0 |
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| 145 |
-
| No log | 97.0 |
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| No log | 98.0 |
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| No log | 99.0 |
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### Framework versions
|
|
|
|
| 1 |
---
|
| 2 |
license: apache-2.0
|
| 3 |
+
base_model: distilgpt2
|
| 4 |
tags:
|
| 5 |
- generated_from_trainer
|
|
|
|
| 6 |
model-index:
|
| 7 |
- name: StatementOfWork_Generator_Omega_BS_1024_2
|
| 8 |
results: []
|
|
|
|
| 15 |
|
| 16 |
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown dataset.
|
| 17 |
It achieves the following results on the evaluation set:
|
| 18 |
+
- Loss: 0.8126
|
| 19 |
|
| 20 |
## Model description
|
| 21 |
|
|
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|
| 35 |
|
| 36 |
The following hyperparameters were used during training:
|
| 37 |
- learning_rate: 2e-05
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| 38 |
+
- train_batch_size: 30
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| 39 |
- eval_batch_size: 10
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| 40 |
- seed: 42
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| 41 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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|
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|
| 46 |
|
| 47 |
| Training Loss | Epoch | Step | Validation Loss |
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| 48 |
|:-------------:|:-----:|:----:|:---------------:|
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| 49 |
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| No log | 1.0 | 4 | 0.7936 |
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| 50 |
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| No log | 2.0 | 8 | 0.7958 |
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| 51 |
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| No log | 3.0 | 12 | 0.7937 |
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| 52 |
+
| No log | 4.0 | 16 | 0.7964 |
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| 53 |
+
| No log | 5.0 | 20 | 0.8001 |
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| 54 |
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| No log | 6.0 | 24 | 0.7974 |
|
| 55 |
+
| No log | 7.0 | 28 | 0.7948 |
|
| 56 |
+
| No log | 8.0 | 32 | 0.7964 |
|
| 57 |
+
| No log | 9.0 | 36 | 0.7985 |
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| 58 |
+
| No log | 10.0 | 40 | 0.7984 |
|
| 59 |
+
| No log | 11.0 | 44 | 0.7970 |
|
| 60 |
+
| No log | 12.0 | 48 | 0.7975 |
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| 61 |
+
| No log | 13.0 | 52 | 0.7970 |
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| 62 |
+
| No log | 14.0 | 56 | 0.7976 |
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| 63 |
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| No log | 15.0 | 60 | 0.8000 |
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| 64 |
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| No log | 16.0 | 64 | 0.8007 |
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| 65 |
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| No log | 17.0 | 68 | 0.8006 |
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| 66 |
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| No log | 18.0 | 72 | 0.8015 |
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| 67 |
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| No log | 19.0 | 76 | 0.8022 |
|
| 68 |
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| No log | 20.0 | 80 | 0.8030 |
|
| 69 |
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| No log | 21.0 | 84 | 0.8051 |
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| 70 |
+
| No log | 22.0 | 88 | 0.8027 |
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| 71 |
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| No log | 23.0 | 92 | 0.7989 |
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| 72 |
+
| No log | 24.0 | 96 | 0.7981 |
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| 73 |
+
| No log | 25.0 | 100 | 0.8008 |
|
| 74 |
+
| No log | 26.0 | 104 | 0.8019 |
|
| 75 |
+
| No log | 27.0 | 108 | 0.8020 |
|
| 76 |
+
| No log | 28.0 | 112 | 0.8014 |
|
| 77 |
+
| No log | 29.0 | 116 | 0.8018 |
|
| 78 |
+
| No log | 30.0 | 120 | 0.8037 |
|
| 79 |
+
| No log | 31.0 | 124 | 0.8030 |
|
| 80 |
+
| No log | 32.0 | 128 | 0.8034 |
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| 81 |
+
| No log | 33.0 | 132 | 0.8037 |
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| 82 |
+
| No log | 34.0 | 136 | 0.8037 |
|
| 83 |
+
| No log | 35.0 | 140 | 0.8040 |
|
| 84 |
+
| No log | 36.0 | 144 | 0.8032 |
|
| 85 |
+
| No log | 37.0 | 148 | 0.8050 |
|
| 86 |
+
| No log | 38.0 | 152 | 0.8069 |
|
| 87 |
+
| No log | 39.0 | 156 | 0.8066 |
|
| 88 |
+
| No log | 40.0 | 160 | 0.8056 |
|
| 89 |
+
| No log | 41.0 | 164 | 0.8050 |
|
| 90 |
+
| No log | 42.0 | 168 | 0.8038 |
|
| 91 |
+
| No log | 43.0 | 172 | 0.8016 |
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| 92 |
+
| No log | 44.0 | 176 | 0.8031 |
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| 93 |
+
| No log | 45.0 | 180 | 0.8071 |
|
| 94 |
+
| No log | 46.0 | 184 | 0.8096 |
|
| 95 |
+
| No log | 47.0 | 188 | 0.8066 |
|
| 96 |
+
| No log | 48.0 | 192 | 0.8033 |
|
| 97 |
+
| No log | 49.0 | 196 | 0.8041 |
|
| 98 |
+
| No log | 50.0 | 200 | 0.8059 |
|
| 99 |
+
| No log | 51.0 | 204 | 0.8043 |
|
| 100 |
+
| No log | 52.0 | 208 | 0.8054 |
|
| 101 |
+
| No log | 53.0 | 212 | 0.8073 |
|
| 102 |
+
| No log | 54.0 | 216 | 0.8068 |
|
| 103 |
+
| No log | 55.0 | 220 | 0.8050 |
|
| 104 |
+
| No log | 56.0 | 224 | 0.8025 |
|
| 105 |
+
| No log | 57.0 | 228 | 0.8036 |
|
| 106 |
+
| No log | 58.0 | 232 | 0.8057 |
|
| 107 |
+
| No log | 59.0 | 236 | 0.8054 |
|
| 108 |
+
| No log | 60.0 | 240 | 0.8028 |
|
| 109 |
+
| No log | 61.0 | 244 | 0.8033 |
|
| 110 |
+
| No log | 62.0 | 248 | 0.8040 |
|
| 111 |
+
| No log | 63.0 | 252 | 0.8051 |
|
| 112 |
+
| No log | 64.0 | 256 | 0.8059 |
|
| 113 |
+
| No log | 65.0 | 260 | 0.8057 |
|
| 114 |
+
| No log | 66.0 | 264 | 0.8052 |
|
| 115 |
+
| No log | 67.0 | 268 | 0.8066 |
|
| 116 |
+
| No log | 68.0 | 272 | 0.8091 |
|
| 117 |
+
| No log | 69.0 | 276 | 0.8108 |
|
| 118 |
+
| No log | 70.0 | 280 | 0.8093 |
|
| 119 |
+
| No log | 71.0 | 284 | 0.8076 |
|
| 120 |
+
| No log | 72.0 | 288 | 0.8063 |
|
| 121 |
+
| No log | 73.0 | 292 | 0.8070 |
|
| 122 |
+
| No log | 74.0 | 296 | 0.8084 |
|
| 123 |
+
| No log | 75.0 | 300 | 0.8083 |
|
| 124 |
+
| No log | 76.0 | 304 | 0.8072 |
|
| 125 |
+
| No log | 77.0 | 308 | 0.8061 |
|
| 126 |
+
| No log | 78.0 | 312 | 0.8064 |
|
| 127 |
+
| No log | 79.0 | 316 | 0.8091 |
|
| 128 |
+
| No log | 80.0 | 320 | 0.8103 |
|
| 129 |
+
| No log | 81.0 | 324 | 0.8094 |
|
| 130 |
+
| No log | 82.0 | 328 | 0.8083 |
|
| 131 |
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| No log | 83.0 | 332 | 0.8090 |
|
| 132 |
+
| No log | 84.0 | 336 | 0.8077 |
|
| 133 |
+
| No log | 85.0 | 340 | 0.8071 |
|
| 134 |
+
| No log | 86.0 | 344 | 0.8090 |
|
| 135 |
+
| No log | 87.0 | 348 | 0.8115 |
|
| 136 |
+
| No log | 88.0 | 352 | 0.8115 |
|
| 137 |
+
| No log | 89.0 | 356 | 0.8086 |
|
| 138 |
+
| No log | 90.0 | 360 | 0.8069 |
|
| 139 |
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| No log | 91.0 | 364 | 0.8080 |
|
| 140 |
+
| No log | 92.0 | 368 | 0.8089 |
|
| 141 |
+
| No log | 93.0 | 372 | 0.8084 |
|
| 142 |
+
| No log | 94.0 | 376 | 0.8078 |
|
| 143 |
+
| No log | 95.0 | 380 | 0.8097 |
|
| 144 |
+
| No log | 96.0 | 384 | 0.8121 |
|
| 145 |
+
| No log | 97.0 | 388 | 0.8112 |
|
| 146 |
+
| No log | 98.0 | 392 | 0.8102 |
|
| 147 |
+
| No log | 99.0 | 396 | 0.8099 |
|
| 148 |
+
| No log | 100.0 | 400 | 0.8102 |
|
| 149 |
+
| No log | 101.0 | 404 | 0.8117 |
|
| 150 |
+
| No log | 102.0 | 408 | 0.8124 |
|
| 151 |
+
| No log | 103.0 | 412 | 0.8136 |
|
| 152 |
+
| No log | 104.0 | 416 | 0.8132 |
|
| 153 |
+
| No log | 105.0 | 420 | 0.8114 |
|
| 154 |
+
| No log | 106.0 | 424 | 0.8110 |
|
| 155 |
+
| No log | 107.0 | 428 | 0.8119 |
|
| 156 |
+
| No log | 108.0 | 432 | 0.8128 |
|
| 157 |
+
| No log | 109.0 | 436 | 0.8131 |
|
| 158 |
+
| No log | 110.0 | 440 | 0.8135 |
|
| 159 |
+
| No log | 111.0 | 444 | 0.8126 |
|
| 160 |
+
| No log | 112.0 | 448 | 0.8110 |
|
| 161 |
+
| No log | 113.0 | 452 | 0.8106 |
|
| 162 |
+
| No log | 114.0 | 456 | 0.8113 |
|
| 163 |
+
| No log | 115.0 | 460 | 0.8113 |
|
| 164 |
+
| No log | 116.0 | 464 | 0.8115 |
|
| 165 |
+
| No log | 117.0 | 468 | 0.8131 |
|
| 166 |
+
| No log | 118.0 | 472 | 0.8141 |
|
| 167 |
+
| No log | 119.0 | 476 | 0.8145 |
|
| 168 |
+
| No log | 120.0 | 480 | 0.8141 |
|
| 169 |
+
| No log | 121.0 | 484 | 0.8124 |
|
| 170 |
+
| No log | 122.0 | 488 | 0.8115 |
|
| 171 |
+
| No log | 123.0 | 492 | 0.8112 |
|
| 172 |
+
| No log | 124.0 | 496 | 0.8110 |
|
| 173 |
+
| 0.0586 | 125.0 | 500 | 0.8112 |
|
| 174 |
+
| 0.0586 | 126.0 | 504 | 0.8111 |
|
| 175 |
+
| 0.0586 | 127.0 | 508 | 0.8106 |
|
| 176 |
+
| 0.0586 | 128.0 | 512 | 0.8105 |
|
| 177 |
+
| 0.0586 | 129.0 | 516 | 0.8111 |
|
| 178 |
+
| 0.0586 | 130.0 | 520 | 0.8115 |
|
| 179 |
+
| 0.0586 | 131.0 | 524 | 0.8118 |
|
| 180 |
+
| 0.0586 | 132.0 | 528 | 0.8110 |
|
| 181 |
+
| 0.0586 | 133.0 | 532 | 0.8108 |
|
| 182 |
+
| 0.0586 | 134.0 | 536 | 0.8118 |
|
| 183 |
+
| 0.0586 | 135.0 | 540 | 0.8121 |
|
| 184 |
+
| 0.0586 | 136.0 | 544 | 0.8117 |
|
| 185 |
+
| 0.0586 | 137.0 | 548 | 0.8120 |
|
| 186 |
+
| 0.0586 | 138.0 | 552 | 0.8126 |
|
| 187 |
+
| 0.0586 | 139.0 | 556 | 0.8139 |
|
| 188 |
+
| 0.0586 | 140.0 | 560 | 0.8143 |
|
| 189 |
+
| 0.0586 | 141.0 | 564 | 0.8137 |
|
| 190 |
+
| 0.0586 | 142.0 | 568 | 0.8133 |
|
| 191 |
+
| 0.0586 | 143.0 | 572 | 0.8132 |
|
| 192 |
+
| 0.0586 | 144.0 | 576 | 0.8134 |
|
| 193 |
+
| 0.0586 | 145.0 | 580 | 0.8133 |
|
| 194 |
+
| 0.0586 | 146.0 | 584 | 0.8132 |
|
| 195 |
+
| 0.0586 | 147.0 | 588 | 0.8129 |
|
| 196 |
+
| 0.0586 | 148.0 | 592 | 0.8133 |
|
| 197 |
+
| 0.0586 | 149.0 | 596 | 0.8141 |
|
| 198 |
+
| 0.0586 | 150.0 | 600 | 0.8145 |
|
| 199 |
+
| 0.0586 | 151.0 | 604 | 0.8146 |
|
| 200 |
+
| 0.0586 | 152.0 | 608 | 0.8137 |
|
| 201 |
+
| 0.0586 | 153.0 | 612 | 0.8127 |
|
| 202 |
+
| 0.0586 | 154.0 | 616 | 0.8123 |
|
| 203 |
+
| 0.0586 | 155.0 | 620 | 0.8123 |
|
| 204 |
+
| 0.0586 | 156.0 | 624 | 0.8128 |
|
| 205 |
+
| 0.0586 | 157.0 | 628 | 0.8136 |
|
| 206 |
+
| 0.0586 | 158.0 | 632 | 0.8142 |
|
| 207 |
+
| 0.0586 | 159.0 | 636 | 0.8144 |
|
| 208 |
+
| 0.0586 | 160.0 | 640 | 0.8144 |
|
| 209 |
+
| 0.0586 | 161.0 | 644 | 0.8143 |
|
| 210 |
+
| 0.0586 | 162.0 | 648 | 0.8139 |
|
| 211 |
+
| 0.0586 | 163.0 | 652 | 0.8134 |
|
| 212 |
+
| 0.0586 | 164.0 | 656 | 0.8130 |
|
| 213 |
+
| 0.0586 | 165.0 | 660 | 0.8126 |
|
| 214 |
+
| 0.0586 | 166.0 | 664 | 0.8126 |
|
| 215 |
+
| 0.0586 | 167.0 | 668 | 0.8129 |
|
| 216 |
+
| 0.0586 | 168.0 | 672 | 0.8134 |
|
| 217 |
+
| 0.0586 | 169.0 | 676 | 0.8136 |
|
| 218 |
+
| 0.0586 | 170.0 | 680 | 0.8138 |
|
| 219 |
+
| 0.0586 | 171.0 | 684 | 0.8138 |
|
| 220 |
+
| 0.0586 | 172.0 | 688 | 0.8138 |
|
| 221 |
+
| 0.0586 | 173.0 | 692 | 0.8138 |
|
| 222 |
+
| 0.0586 | 174.0 | 696 | 0.8135 |
|
| 223 |
+
| 0.0586 | 175.0 | 700 | 0.8129 |
|
| 224 |
+
| 0.0586 | 176.0 | 704 | 0.8126 |
|
| 225 |
+
| 0.0586 | 177.0 | 708 | 0.8126 |
|
| 226 |
+
| 0.0586 | 178.0 | 712 | 0.8127 |
|
| 227 |
+
| 0.0586 | 179.0 | 716 | 0.8129 |
|
| 228 |
+
| 0.0586 | 180.0 | 720 | 0.8132 |
|
| 229 |
+
| 0.0586 | 181.0 | 724 | 0.8135 |
|
| 230 |
+
| 0.0586 | 182.0 | 728 | 0.8135 |
|
| 231 |
+
| 0.0586 | 183.0 | 732 | 0.8135 |
|
| 232 |
+
| 0.0586 | 184.0 | 736 | 0.8132 |
|
| 233 |
+
| 0.0586 | 185.0 | 740 | 0.8129 |
|
| 234 |
+
| 0.0586 | 186.0 | 744 | 0.8127 |
|
| 235 |
+
| 0.0586 | 187.0 | 748 | 0.8126 |
|
| 236 |
+
| 0.0586 | 188.0 | 752 | 0.8125 |
|
| 237 |
+
| 0.0586 | 189.0 | 756 | 0.8125 |
|
| 238 |
+
| 0.0586 | 190.0 | 760 | 0.8125 |
|
| 239 |
+
| 0.0586 | 191.0 | 764 | 0.8125 |
|
| 240 |
+
| 0.0586 | 192.0 | 768 | 0.8126 |
|
| 241 |
+
| 0.0586 | 193.0 | 772 | 0.8127 |
|
| 242 |
+
| 0.0586 | 194.0 | 776 | 0.8126 |
|
| 243 |
+
| 0.0586 | 195.0 | 780 | 0.8126 |
|
| 244 |
+
| 0.0586 | 196.0 | 784 | 0.8126 |
|
| 245 |
+
| 0.0586 | 197.0 | 788 | 0.8126 |
|
| 246 |
+
| 0.0586 | 198.0 | 792 | 0.8126 |
|
| 247 |
+
| 0.0586 | 199.0 | 796 | 0.8126 |
|
| 248 |
+
| 0.0586 | 200.0 | 800 | 0.8126 |
|
| 249 |
|
| 250 |
|
| 251 |
### Framework versions
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 327657928
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fc7db3d02c0f02cfb957e7b2bb2627a2a413de617d12de0ab4088208c730469e
|
| 3 |
size 327657928
|
runs/Jul03_13-58-46_viridian/events.out.tfevents.1720015135.viridian.3874171.7
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d1dc183e9a5c3d3d1978588240c2d188155f8649f40761c485f2ebe890d50b91
|
| 3 |
+
size 59688
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 5048
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9313f5f06fdf22339db8051948bb5e5130bbd48b128055a4c2ec8453088912c8
|
| 3 |
size 5048
|