MHGanainy/gpt2-xl-lora-multi-512-7
Browse files- README.md +2 -0
- all_results.json +13 -0
- eval_results.json +8 -0
- runs/Oct20_16-50-59_d0f171ada4b3/events.out.tfevents.1729445336.d0f171ada4b3.6939.1 +3 -0
- train_results.json +8 -0
- trainer_state.json +805 -0
README.md
CHANGED
|
@@ -15,6 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 15 |
# gpt2-xl-lora-multi-512-7
|
| 16 |
|
| 17 |
This model is a fine-tuned version of [openai-community/gpt2-xl](https://huggingface.co/openai-community/gpt2-xl) on an unknown dataset.
|
|
|
|
|
|
|
| 18 |
|
| 19 |
## Model description
|
| 20 |
|
|
|
|
| 15 |
# gpt2-xl-lora-multi-512-7
|
| 16 |
|
| 17 |
This model is a fine-tuned version of [openai-community/gpt2-xl](https://huggingface.co/openai-community/gpt2-xl) on an unknown dataset.
|
| 18 |
+
It achieves the following results on the evaluation set:
|
| 19 |
+
- Loss: 2.2163
|
| 20 |
|
| 21 |
## Model description
|
| 22 |
|
all_results.json
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 1.0,
|
| 3 |
+
"eval_loss": 2.216308832168579,
|
| 4 |
+
"eval_runtime": 127.3922,
|
| 5 |
+
"eval_samples_per_second": 246.271,
|
| 6 |
+
"eval_steps_per_second": 15.393,
|
| 7 |
+
"perplexity": 9.173407708925824,
|
| 8 |
+
"total_flos": 1.59124040841796e+18,
|
| 9 |
+
"train_loss": 2.428147726093893,
|
| 10 |
+
"train_runtime": 2109.7476,
|
| 11 |
+
"train_samples_per_second": 82.811,
|
| 12 |
+
"train_steps_per_second": 5.176
|
| 13 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 1.0,
|
| 3 |
+
"eval_loss": 2.216308832168579,
|
| 4 |
+
"eval_runtime": 127.3922,
|
| 5 |
+
"eval_samples_per_second": 246.271,
|
| 6 |
+
"eval_steps_per_second": 15.393,
|
| 7 |
+
"perplexity": 9.173407708925824
|
| 8 |
+
}
|
runs/Oct20_16-50-59_d0f171ada4b3/events.out.tfevents.1729445336.d0f171ada4b3.6939.1
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f1291a62f9248604f40cb5726c7503e46cce268df4669bab47c43480458d5e57
|
| 3 |
+
size 311
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 1.0,
|
| 3 |
+
"total_flos": 1.59124040841796e+18,
|
| 4 |
+
"train_loss": 2.428147726093893,
|
| 5 |
+
"train_runtime": 2109.7476,
|
| 6 |
+
"train_samples_per_second": 82.811,
|
| 7 |
+
"train_steps_per_second": 5.176
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,805 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 1.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 10920,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.009157509157509158,
|
| 13 |
+
"grad_norm": 0.10490927845239639,
|
| 14 |
+
"learning_rate": 2.289639381797367e-07,
|
| 15 |
+
"loss": 2.7059,
|
| 16 |
+
"step": 100
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.018315018315018316,
|
| 20 |
+
"grad_norm": 0.22449691593647003,
|
| 21 |
+
"learning_rate": 4.5563823697767606e-07,
|
| 22 |
+
"loss": 2.7179,
|
| 23 |
+
"step": 200
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.027472527472527472,
|
| 27 |
+
"grad_norm": 0.14629626274108887,
|
| 28 |
+
"learning_rate": 6.846021751574127e-07,
|
| 29 |
+
"loss": 2.7183,
|
| 30 |
+
"step": 300
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.03663003663003663,
|
| 34 |
+
"grad_norm": 0.19104591012001038,
|
| 35 |
+
"learning_rate": 9.112764739553521e-07,
|
| 36 |
+
"loss": 2.715,
|
| 37 |
+
"step": 400
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.045787545787545784,
|
| 41 |
+
"grad_norm": 0.2343115508556366,
|
| 42 |
+
"learning_rate": 1.1402404121350888e-06,
|
| 43 |
+
"loss": 2.6869,
|
| 44 |
+
"step": 500
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.054945054945054944,
|
| 48 |
+
"grad_norm": 0.1325504034757614,
|
| 49 |
+
"learning_rate": 1.366914710933028e-06,
|
| 50 |
+
"loss": 2.6707,
|
| 51 |
+
"step": 600
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.0641025641025641,
|
| 55 |
+
"grad_norm": 0.22846511006355286,
|
| 56 |
+
"learning_rate": 1.5958786491127649e-06,
|
| 57 |
+
"loss": 2.6654,
|
| 58 |
+
"step": 700
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.07326007326007326,
|
| 62 |
+
"grad_norm": 0.1422765702009201,
|
| 63 |
+
"learning_rate": 1.8248425872925015e-06,
|
| 64 |
+
"loss": 2.6269,
|
| 65 |
+
"step": 800
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.08241758241758242,
|
| 69 |
+
"grad_norm": 0.33947649598121643,
|
| 70 |
+
"learning_rate": 2.0538065254722382e-06,
|
| 71 |
+
"loss": 2.5998,
|
| 72 |
+
"step": 900
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.09157509157509157,
|
| 76 |
+
"grad_norm": 0.12349778413772583,
|
| 77 |
+
"learning_rate": 2.2804808242701776e-06,
|
| 78 |
+
"loss": 2.586,
|
| 79 |
+
"step": 1000
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.10073260073260074,
|
| 83 |
+
"grad_norm": 0.21951575577259064,
|
| 84 |
+
"learning_rate": 2.5094447624499143e-06,
|
| 85 |
+
"loss": 2.5917,
|
| 86 |
+
"step": 1100
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.10989010989010989,
|
| 90 |
+
"grad_norm": 0.16132010519504547,
|
| 91 |
+
"learning_rate": 2.738408700629651e-06,
|
| 92 |
+
"loss": 2.5675,
|
| 93 |
+
"step": 1200
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.11904761904761904,
|
| 97 |
+
"grad_norm": 0.31237655878067017,
|
| 98 |
+
"learning_rate": 2.9673726388093876e-06,
|
| 99 |
+
"loss": 2.5556,
|
| 100 |
+
"step": 1300
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.1282051282051282,
|
| 104 |
+
"grad_norm": 0.15914414823055267,
|
| 105 |
+
"learning_rate": 3.1963365769891247e-06,
|
| 106 |
+
"loss": 2.5326,
|
| 107 |
+
"step": 1400
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.13736263736263737,
|
| 111 |
+
"grad_norm": 0.1860857754945755,
|
| 112 |
+
"learning_rate": 3.425300515168861e-06,
|
| 113 |
+
"loss": 2.5353,
|
| 114 |
+
"step": 1500
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.14652014652014653,
|
| 118 |
+
"grad_norm": 0.18469680845737457,
|
| 119 |
+
"learning_rate": 3.6542644533485977e-06,
|
| 120 |
+
"loss": 2.5114,
|
| 121 |
+
"step": 1600
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.15567765567765568,
|
| 125 |
+
"grad_norm": 0.3093177080154419,
|
| 126 |
+
"learning_rate": 3.883228391528335e-06,
|
| 127 |
+
"loss": 2.5025,
|
| 128 |
+
"step": 1700
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.16483516483516483,
|
| 132 |
+
"grad_norm": 0.29793912172317505,
|
| 133 |
+
"learning_rate": 4.112192329708071e-06,
|
| 134 |
+
"loss": 2.4835,
|
| 135 |
+
"step": 1800
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.17399267399267399,
|
| 139 |
+
"grad_norm": 0.20354346930980682,
|
| 140 |
+
"learning_rate": 4.341156267887808e-06,
|
| 141 |
+
"loss": 2.4779,
|
| 142 |
+
"step": 1900
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.18315018315018314,
|
| 146 |
+
"grad_norm": 0.20856451988220215,
|
| 147 |
+
"learning_rate": 4.5701202060675444e-06,
|
| 148 |
+
"loss": 2.4694,
|
| 149 |
+
"step": 2000
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.19230769230769232,
|
| 153 |
+
"grad_norm": 0.17660389840602875,
|
| 154 |
+
"learning_rate": 4.7990841442472815e-06,
|
| 155 |
+
"loss": 2.4717,
|
| 156 |
+
"step": 2100
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.20146520146520147,
|
| 160 |
+
"grad_norm": 0.1957291066646576,
|
| 161 |
+
"learning_rate": 5.028048082427019e-06,
|
| 162 |
+
"loss": 2.4643,
|
| 163 |
+
"step": 2200
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.21062271062271062,
|
| 167 |
+
"grad_norm": 0.201618030667305,
|
| 168 |
+
"learning_rate": 5.257012020606756e-06,
|
| 169 |
+
"loss": 2.4694,
|
| 170 |
+
"step": 2300
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.21978021978021978,
|
| 174 |
+
"grad_norm": 0.22514258325099945,
|
| 175 |
+
"learning_rate": 5.485975958786491e-06,
|
| 176 |
+
"loss": 2.4528,
|
| 177 |
+
"step": 2400
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.22893772893772893,
|
| 181 |
+
"grad_norm": 0.2677931785583496,
|
| 182 |
+
"learning_rate": 5.714939896966228e-06,
|
| 183 |
+
"loss": 2.454,
|
| 184 |
+
"step": 2500
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 0.23809523809523808,
|
| 188 |
+
"grad_norm": 0.2718426287174225,
|
| 189 |
+
"learning_rate": 5.943903835145965e-06,
|
| 190 |
+
"loss": 2.4632,
|
| 191 |
+
"step": 2600
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.24725274725274726,
|
| 195 |
+
"grad_norm": 0.2885560691356659,
|
| 196 |
+
"learning_rate": 6.172867773325702e-06,
|
| 197 |
+
"loss": 2.4549,
|
| 198 |
+
"step": 2700
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 0.2564102564102564,
|
| 202 |
+
"grad_norm": 0.19180075824260712,
|
| 203 |
+
"learning_rate": 6.401831711505439e-06,
|
| 204 |
+
"loss": 2.4496,
|
| 205 |
+
"step": 2800
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 0.26556776556776557,
|
| 209 |
+
"grad_norm": 0.22613513469696045,
|
| 210 |
+
"learning_rate": 6.630795649685176e-06,
|
| 211 |
+
"loss": 2.4528,
|
| 212 |
+
"step": 2900
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.27472527472527475,
|
| 216 |
+
"grad_norm": 0.19509850442409515,
|
| 217 |
+
"learning_rate": 6.859759587864911e-06,
|
| 218 |
+
"loss": 2.4441,
|
| 219 |
+
"step": 3000
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.2838827838827839,
|
| 223 |
+
"grad_norm": 0.21075837314128876,
|
| 224 |
+
"learning_rate": 7.088723526044648e-06,
|
| 225 |
+
"loss": 2.4464,
|
| 226 |
+
"step": 3100
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 0.29304029304029305,
|
| 230 |
+
"grad_norm": 0.2654266357421875,
|
| 231 |
+
"learning_rate": 7.3176874642243855e-06,
|
| 232 |
+
"loss": 2.4298,
|
| 233 |
+
"step": 3200
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 0.3021978021978022,
|
| 237 |
+
"grad_norm": 0.27135413885116577,
|
| 238 |
+
"learning_rate": 7.546651402404122e-06,
|
| 239 |
+
"loss": 2.4364,
|
| 240 |
+
"step": 3300
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 0.31135531135531136,
|
| 244 |
+
"grad_norm": 0.27136310935020447,
|
| 245 |
+
"learning_rate": 7.773325701202062e-06,
|
| 246 |
+
"loss": 2.4287,
|
| 247 |
+
"step": 3400
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 0.32051282051282054,
|
| 251 |
+
"grad_norm": 0.2661312222480774,
|
| 252 |
+
"learning_rate": 8.002289639381798e-06,
|
| 253 |
+
"loss": 2.4275,
|
| 254 |
+
"step": 3500
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 0.32967032967032966,
|
| 258 |
+
"grad_norm": 0.20097434520721436,
|
| 259 |
+
"learning_rate": 8.231253577561534e-06,
|
| 260 |
+
"loss": 2.4336,
|
| 261 |
+
"step": 3600
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 0.33882783882783885,
|
| 265 |
+
"grad_norm": 0.3780891001224518,
|
| 266 |
+
"learning_rate": 8.46021751574127e-06,
|
| 267 |
+
"loss": 2.4372,
|
| 268 |
+
"step": 3700
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 0.34798534798534797,
|
| 272 |
+
"grad_norm": 0.23288694024085999,
|
| 273 |
+
"learning_rate": 8.689181453921009e-06,
|
| 274 |
+
"loss": 2.4103,
|
| 275 |
+
"step": 3800
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 0.35714285714285715,
|
| 279 |
+
"grad_norm": 0.24288786947727203,
|
| 280 |
+
"learning_rate": 8.918145392100745e-06,
|
| 281 |
+
"loss": 2.4149,
|
| 282 |
+
"step": 3900
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 0.3663003663003663,
|
| 286 |
+
"grad_norm": 0.25948914885520935,
|
| 287 |
+
"learning_rate": 9.147109330280481e-06,
|
| 288 |
+
"loss": 2.4236,
|
| 289 |
+
"step": 4000
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 0.37545787545787546,
|
| 293 |
+
"grad_norm": 0.26415252685546875,
|
| 294 |
+
"learning_rate": 9.37607326846022e-06,
|
| 295 |
+
"loss": 2.4355,
|
| 296 |
+
"step": 4100
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 0.38461538461538464,
|
| 300 |
+
"grad_norm": 0.3095110058784485,
|
| 301 |
+
"learning_rate": 9.605037206639955e-06,
|
| 302 |
+
"loss": 2.4275,
|
| 303 |
+
"step": 4200
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 0.39377289377289376,
|
| 307 |
+
"grad_norm": 0.23992522060871124,
|
| 308 |
+
"learning_rate": 9.834001144819692e-06,
|
| 309 |
+
"loss": 2.4135,
|
| 310 |
+
"step": 4300
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 0.40293040293040294,
|
| 314 |
+
"grad_norm": 0.31741300225257874,
|
| 315 |
+
"learning_rate": 1.0062965082999428e-05,
|
| 316 |
+
"loss": 2.4148,
|
| 317 |
+
"step": 4400
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 0.41208791208791207,
|
| 321 |
+
"grad_norm": 0.26608923077583313,
|
| 322 |
+
"learning_rate": 1.0291929021179166e-05,
|
| 323 |
+
"loss": 2.4186,
|
| 324 |
+
"step": 4500
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 0.42124542124542125,
|
| 328 |
+
"grad_norm": 0.23381298780441284,
|
| 329 |
+
"learning_rate": 1.0520892959358902e-05,
|
| 330 |
+
"loss": 2.4124,
|
| 331 |
+
"step": 4600
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 0.43040293040293043,
|
| 335 |
+
"grad_norm": 0.42702221870422363,
|
| 336 |
+
"learning_rate": 1.0749856897538637e-05,
|
| 337 |
+
"loss": 2.412,
|
| 338 |
+
"step": 4700
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 0.43956043956043955,
|
| 342 |
+
"grad_norm": 0.24715246260166168,
|
| 343 |
+
"learning_rate": 1.0978820835718376e-05,
|
| 344 |
+
"loss": 2.4138,
|
| 345 |
+
"step": 4800
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 0.44871794871794873,
|
| 349 |
+
"grad_norm": 0.42784959077835083,
|
| 350 |
+
"learning_rate": 1.1207784773898111e-05,
|
| 351 |
+
"loss": 2.3953,
|
| 352 |
+
"step": 4900
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 0.45787545787545786,
|
| 356 |
+
"grad_norm": 0.25161468982696533,
|
| 357 |
+
"learning_rate": 1.143674871207785e-05,
|
| 358 |
+
"loss": 2.3898,
|
| 359 |
+
"step": 5000
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 0.46703296703296704,
|
| 363 |
+
"grad_norm": 0.2743668258190155,
|
| 364 |
+
"learning_rate": 1.1665712650257585e-05,
|
| 365 |
+
"loss": 2.4119,
|
| 366 |
+
"step": 5100
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 0.47619047619047616,
|
| 370 |
+
"grad_norm": 0.28708940744400024,
|
| 371 |
+
"learning_rate": 1.1894676588437321e-05,
|
| 372 |
+
"loss": 2.4039,
|
| 373 |
+
"step": 5200
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 0.48534798534798534,
|
| 377 |
+
"grad_norm": 0.31553077697753906,
|
| 378 |
+
"learning_rate": 1.212364052661706e-05,
|
| 379 |
+
"loss": 2.3987,
|
| 380 |
+
"step": 5300
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 0.4945054945054945,
|
| 384 |
+
"grad_norm": 0.2647671103477478,
|
| 385 |
+
"learning_rate": 1.2352604464796796e-05,
|
| 386 |
+
"loss": 2.4103,
|
| 387 |
+
"step": 5400
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 0.5036630036630036,
|
| 391 |
+
"grad_norm": 0.2579342722892761,
|
| 392 |
+
"learning_rate": 1.2581568402976532e-05,
|
| 393 |
+
"loss": 2.3984,
|
| 394 |
+
"step": 5500
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 0.5128205128205128,
|
| 398 |
+
"grad_norm": 0.365583211183548,
|
| 399 |
+
"learning_rate": 1.281053234115627e-05,
|
| 400 |
+
"loss": 2.3927,
|
| 401 |
+
"step": 5600
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 0.521978021978022,
|
| 405 |
+
"grad_norm": 0.3024210035800934,
|
| 406 |
+
"learning_rate": 1.3039496279336006e-05,
|
| 407 |
+
"loss": 2.3956,
|
| 408 |
+
"step": 5700
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 0.5311355311355311,
|
| 412 |
+
"grad_norm": 0.31242358684539795,
|
| 413 |
+
"learning_rate": 1.3268460217515742e-05,
|
| 414 |
+
"loss": 2.3891,
|
| 415 |
+
"step": 5800
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
"epoch": 0.5402930402930403,
|
| 419 |
+
"grad_norm": 0.31390878558158875,
|
| 420 |
+
"learning_rate": 1.349742415569548e-05,
|
| 421 |
+
"loss": 2.3865,
|
| 422 |
+
"step": 5900
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 0.5494505494505495,
|
| 426 |
+
"grad_norm": 0.3613923192024231,
|
| 427 |
+
"learning_rate": 1.3726388093875217e-05,
|
| 428 |
+
"loss": 2.3919,
|
| 429 |
+
"step": 6000
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 0.5586080586080586,
|
| 433 |
+
"grad_norm": 0.30997100472450256,
|
| 434 |
+
"learning_rate": 1.3955352032054951e-05,
|
| 435 |
+
"loss": 2.3846,
|
| 436 |
+
"step": 6100
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"epoch": 0.5677655677655677,
|
| 440 |
+
"grad_norm": 0.46809422969818115,
|
| 441 |
+
"learning_rate": 1.418431597023469e-05,
|
| 442 |
+
"loss": 2.3826,
|
| 443 |
+
"step": 6200
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 0.5769230769230769,
|
| 447 |
+
"grad_norm": 0.2764199674129486,
|
| 448 |
+
"learning_rate": 1.4413279908414425e-05,
|
| 449 |
+
"loss": 2.3893,
|
| 450 |
+
"step": 6300
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 0.5860805860805861,
|
| 454 |
+
"grad_norm": 0.3119123578071594,
|
| 455 |
+
"learning_rate": 1.4642243846594162e-05,
|
| 456 |
+
"loss": 2.3756,
|
| 457 |
+
"step": 6400
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"epoch": 0.5952380952380952,
|
| 461 |
+
"grad_norm": 0.3249548375606537,
|
| 462 |
+
"learning_rate": 1.48712077847739e-05,
|
| 463 |
+
"loss": 2.3898,
|
| 464 |
+
"step": 6500
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 0.6043956043956044,
|
| 468 |
+
"grad_norm": 0.35118070244789124,
|
| 469 |
+
"learning_rate": 1.5100171722953636e-05,
|
| 470 |
+
"loss": 2.3845,
|
| 471 |
+
"step": 6600
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 0.6135531135531136,
|
| 475 |
+
"grad_norm": 0.307021826505661,
|
| 476 |
+
"learning_rate": 1.532913566113337e-05,
|
| 477 |
+
"loss": 2.3841,
|
| 478 |
+
"step": 6700
|
| 479 |
+
},
|
| 480 |
+
{
|
| 481 |
+
"epoch": 0.6227106227106227,
|
| 482 |
+
"grad_norm": 0.29582327604293823,
|
| 483 |
+
"learning_rate": 1.555809959931311e-05,
|
| 484 |
+
"loss": 2.3842,
|
| 485 |
+
"step": 6800
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 0.6318681318681318,
|
| 489 |
+
"grad_norm": 0.349324107170105,
|
| 490 |
+
"learning_rate": 1.5787063537492846e-05,
|
| 491 |
+
"loss": 2.3843,
|
| 492 |
+
"step": 6900
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"epoch": 0.6410256410256411,
|
| 496 |
+
"grad_norm": 0.31297802925109863,
|
| 497 |
+
"learning_rate": 1.6016027475672583e-05,
|
| 498 |
+
"loss": 2.3819,
|
| 499 |
+
"step": 7000
|
| 500 |
+
},
|
| 501 |
+
{
|
| 502 |
+
"epoch": 0.6501831501831502,
|
| 503 |
+
"grad_norm": 0.27480989694595337,
|
| 504 |
+
"learning_rate": 1.624499141385232e-05,
|
| 505 |
+
"loss": 2.3553,
|
| 506 |
+
"step": 7100
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 0.6593406593406593,
|
| 510 |
+
"grad_norm": 0.33451569080352783,
|
| 511 |
+
"learning_rate": 1.6473955352032055e-05,
|
| 512 |
+
"loss": 2.3906,
|
| 513 |
+
"step": 7200
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 0.6684981684981685,
|
| 517 |
+
"grad_norm": 0.27567845582962036,
|
| 518 |
+
"learning_rate": 1.670291929021179e-05,
|
| 519 |
+
"loss": 2.3804,
|
| 520 |
+
"step": 7300
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"epoch": 0.6776556776556777,
|
| 524 |
+
"grad_norm": 0.4053930938243866,
|
| 525 |
+
"learning_rate": 1.693188322839153e-05,
|
| 526 |
+
"loss": 2.376,
|
| 527 |
+
"step": 7400
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 0.6868131868131868,
|
| 531 |
+
"grad_norm": 0.30826249718666077,
|
| 532 |
+
"learning_rate": 1.7160847166571267e-05,
|
| 533 |
+
"loss": 2.3797,
|
| 534 |
+
"step": 7500
|
| 535 |
+
},
|
| 536 |
+
{
|
| 537 |
+
"epoch": 0.6959706959706959,
|
| 538 |
+
"grad_norm": 0.3094613254070282,
|
| 539 |
+
"learning_rate": 1.7389811104751004e-05,
|
| 540 |
+
"loss": 2.3781,
|
| 541 |
+
"step": 7600
|
| 542 |
+
},
|
| 543 |
+
{
|
| 544 |
+
"epoch": 0.7051282051282052,
|
| 545 |
+
"grad_norm": 0.2915087342262268,
|
| 546 |
+
"learning_rate": 1.761877504293074e-05,
|
| 547 |
+
"loss": 2.3694,
|
| 548 |
+
"step": 7700
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 0.7142857142857143,
|
| 552 |
+
"grad_norm": 0.276742547750473,
|
| 553 |
+
"learning_rate": 1.7847738981110476e-05,
|
| 554 |
+
"loss": 2.3586,
|
| 555 |
+
"step": 7800
|
| 556 |
+
},
|
| 557 |
+
{
|
| 558 |
+
"epoch": 0.7234432234432234,
|
| 559 |
+
"grad_norm": 0.2940647602081299,
|
| 560 |
+
"learning_rate": 1.8076702919290216e-05,
|
| 561 |
+
"loss": 2.377,
|
| 562 |
+
"step": 7900
|
| 563 |
+
},
|
| 564 |
+
{
|
| 565 |
+
"epoch": 0.7326007326007326,
|
| 566 |
+
"grad_norm": 0.3118553161621094,
|
| 567 |
+
"learning_rate": 1.8305666857469952e-05,
|
| 568 |
+
"loss": 2.363,
|
| 569 |
+
"step": 8000
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"epoch": 0.7417582417582418,
|
| 573 |
+
"grad_norm": 0.29962947964668274,
|
| 574 |
+
"learning_rate": 1.8534630795649685e-05,
|
| 575 |
+
"loss": 2.3627,
|
| 576 |
+
"step": 8100
|
| 577 |
+
},
|
| 578 |
+
{
|
| 579 |
+
"epoch": 0.7509157509157509,
|
| 580 |
+
"grad_norm": 0.38140273094177246,
|
| 581 |
+
"learning_rate": 1.8763594733829424e-05,
|
| 582 |
+
"loss": 2.3629,
|
| 583 |
+
"step": 8200
|
| 584 |
+
},
|
| 585 |
+
{
|
| 586 |
+
"epoch": 0.76007326007326,
|
| 587 |
+
"grad_norm": 0.29137617349624634,
|
| 588 |
+
"learning_rate": 1.899255867200916e-05,
|
| 589 |
+
"loss": 2.3676,
|
| 590 |
+
"step": 8300
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 0.7692307692307693,
|
| 594 |
+
"grad_norm": 0.3427438735961914,
|
| 595 |
+
"learning_rate": 1.9221522610188897e-05,
|
| 596 |
+
"loss": 2.3621,
|
| 597 |
+
"step": 8400
|
| 598 |
+
},
|
| 599 |
+
{
|
| 600 |
+
"epoch": 0.7783882783882784,
|
| 601 |
+
"grad_norm": 0.30704206228256226,
|
| 602 |
+
"learning_rate": 1.9450486548368633e-05,
|
| 603 |
+
"loss": 2.3508,
|
| 604 |
+
"step": 8500
|
| 605 |
+
},
|
| 606 |
+
{
|
| 607 |
+
"epoch": 0.7875457875457875,
|
| 608 |
+
"grad_norm": 0.34004345536231995,
|
| 609 |
+
"learning_rate": 1.967945048654837e-05,
|
| 610 |
+
"loss": 2.3499,
|
| 611 |
+
"step": 8600
|
| 612 |
+
},
|
| 613 |
+
{
|
| 614 |
+
"epoch": 0.7967032967032966,
|
| 615 |
+
"grad_norm": 0.39838922023773193,
|
| 616 |
+
"learning_rate": 1.9908414424728106e-05,
|
| 617 |
+
"loss": 2.3544,
|
| 618 |
+
"step": 8700
|
| 619 |
+
},
|
| 620 |
+
{
|
| 621 |
+
"epoch": 0.8058608058608059,
|
| 622 |
+
"grad_norm": 0.3006947636604309,
|
| 623 |
+
"learning_rate": 1.9962812240794344e-05,
|
| 624 |
+
"loss": 2.36,
|
| 625 |
+
"step": 8800
|
| 626 |
+
},
|
| 627 |
+
{
|
| 628 |
+
"epoch": 0.815018315018315,
|
| 629 |
+
"grad_norm": 0.3303048610687256,
|
| 630 |
+
"learning_rate": 1.973655456746745e-05,
|
| 631 |
+
"loss": 2.3457,
|
| 632 |
+
"step": 8900
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 0.8241758241758241,
|
| 636 |
+
"grad_norm": 0.31546804308891296,
|
| 637 |
+
"learning_rate": 1.9309362692059617e-05,
|
| 638 |
+
"loss": 2.3522,
|
| 639 |
+
"step": 9000
|
| 640 |
+
},
|
| 641 |
+
{
|
| 642 |
+
"epoch": 0.8333333333333334,
|
| 643 |
+
"grad_norm": 0.3123638927936554,
|
| 644 |
+
"learning_rate": 1.869005261390877e-05,
|
| 645 |
+
"loss": 2.3552,
|
| 646 |
+
"step": 9100
|
| 647 |
+
},
|
| 648 |
+
{
|
| 649 |
+
"epoch": 0.8424908424908425,
|
| 650 |
+
"grad_norm": 0.36076679825782776,
|
| 651 |
+
"learning_rate": 1.789140509396394e-05,
|
| 652 |
+
"loss": 2.3434,
|
| 653 |
+
"step": 9200
|
| 654 |
+
},
|
| 655 |
+
{
|
| 656 |
+
"epoch": 0.8516483516483516,
|
| 657 |
+
"grad_norm": 0.3313111960887909,
|
| 658 |
+
"learning_rate": 1.69299018970067e-05,
|
| 659 |
+
"loss": 2.3782,
|
| 660 |
+
"step": 9300
|
| 661 |
+
},
|
| 662 |
+
{
|
| 663 |
+
"epoch": 0.8608058608058609,
|
| 664 |
+
"grad_norm": 0.3116619884967804,
|
| 665 |
+
"learning_rate": 1.582538565590479e-05,
|
| 666 |
+
"loss": 2.3398,
|
| 667 |
+
"step": 9400
|
| 668 |
+
},
|
| 669 |
+
{
|
| 670 |
+
"epoch": 0.86996336996337,
|
| 671 |
+
"grad_norm": 0.33244970440864563,
|
| 672 |
+
"learning_rate": 1.4600650377311523e-05,
|
| 673 |
+
"loss": 2.3443,
|
| 674 |
+
"step": 9500
|
| 675 |
+
},
|
| 676 |
+
{
|
| 677 |
+
"epoch": 0.8791208791208791,
|
| 678 |
+
"grad_norm": 0.3026200830936432,
|
| 679 |
+
"learning_rate": 1.3280971039583906e-05,
|
| 680 |
+
"loss": 2.3442,
|
| 681 |
+
"step": 9600
|
| 682 |
+
},
|
| 683 |
+
{
|
| 684 |
+
"epoch": 0.8882783882783882,
|
| 685 |
+
"grad_norm": 0.35270655155181885,
|
| 686 |
+
"learning_rate": 1.1893581990651848e-05,
|
| 687 |
+
"loss": 2.337,
|
| 688 |
+
"step": 9700
|
| 689 |
+
},
|
| 690 |
+
{
|
| 691 |
+
"epoch": 0.8974358974358975,
|
| 692 |
+
"grad_norm": 0.34508877992630005,
|
| 693 |
+
"learning_rate": 1.046711491019129e-05,
|
| 694 |
+
"loss": 2.3637,
|
| 695 |
+
"step": 9800
|
| 696 |
+
},
|
| 697 |
+
{
|
| 698 |
+
"epoch": 0.9065934065934066,
|
| 699 |
+
"grad_norm": 0.3241460919380188,
|
| 700 |
+
"learning_rate": 9.031007934929237e-06,
|
| 701 |
+
"loss": 2.3529,
|
| 702 |
+
"step": 9900
|
| 703 |
+
},
|
| 704 |
+
{
|
| 705 |
+
"epoch": 0.9157509157509157,
|
| 706 |
+
"grad_norm": 0.3581334054470062,
|
| 707 |
+
"learning_rate": 7.6148981410179966e-06,
|
| 708 |
+
"loss": 2.3524,
|
| 709 |
+
"step": 10000
|
| 710 |
+
},
|
| 711 |
+
{
|
| 712 |
+
"epoch": 0.924908424908425,
|
| 713 |
+
"grad_norm": 0.34301674365997314,
|
| 714 |
+
"learning_rate": 6.248009920877591e-06,
|
| 715 |
+
"loss": 2.3532,
|
| 716 |
+
"step": 10100
|
| 717 |
+
},
|
| 718 |
+
{
|
| 719 |
+
"epoch": 0.9340659340659341,
|
| 720 |
+
"grad_norm": 0.30783897638320923,
|
| 721 |
+
"learning_rate": 4.95855187663155e-06,
|
| 722 |
+
"loss": 2.3507,
|
| 723 |
+
"step": 10200
|
| 724 |
+
},
|
| 725 |
+
{
|
| 726 |
+
"epoch": 0.9432234432234432,
|
| 727 |
+
"grad_norm": 0.40239864587783813,
|
| 728 |
+
"learning_rate": 3.773134676503629e-06,
|
| 729 |
+
"loss": 2.3488,
|
| 730 |
+
"step": 10300
|
| 731 |
+
},
|
| 732 |
+
{
|
| 733 |
+
"epoch": 0.9523809523809523,
|
| 734 |
+
"grad_norm": 0.3629162907600403,
|
| 735 |
+
"learning_rate": 2.7162218879283174e-06,
|
| 736 |
+
"loss": 2.3507,
|
| 737 |
+
"step": 10400
|
| 738 |
+
},
|
| 739 |
+
{
|
| 740 |
+
"epoch": 0.9615384615384616,
|
| 741 |
+
"grad_norm": 0.3233180046081543,
|
| 742 |
+
"learning_rate": 1.8096251205843685e-06,
|
| 743 |
+
"loss": 2.3369,
|
| 744 |
+
"step": 10500
|
| 745 |
+
},
|
| 746 |
+
{
|
| 747 |
+
"epoch": 0.9706959706959707,
|
| 748 |
+
"grad_norm": 0.3085317313671112,
|
| 749 |
+
"learning_rate": 1.0720538981326557e-06,
|
| 750 |
+
"loss": 2.3495,
|
| 751 |
+
"step": 10600
|
| 752 |
+
},
|
| 753 |
+
{
|
| 754 |
+
"epoch": 0.9798534798534798,
|
| 755 |
+
"grad_norm": 0.332645446062088,
|
| 756 |
+
"learning_rate": 5.187295479980136e-07,
|
| 757 |
+
"loss": 2.3448,
|
| 758 |
+
"step": 10700
|
| 759 |
+
},
|
| 760 |
+
{
|
| 761 |
+
"epoch": 0.989010989010989,
|
| 762 |
+
"grad_norm": 0.3299219012260437,
|
| 763 |
+
"learning_rate": 1.6107107738836835e-07,
|
| 764 |
+
"loss": 2.3427,
|
| 765 |
+
"step": 10800
|
| 766 |
+
},
|
| 767 |
+
{
|
| 768 |
+
"epoch": 0.9981684981684982,
|
| 769 |
+
"grad_norm": 0.41852566599845886,
|
| 770 |
+
"learning_rate": 6.4595181575910496e-09,
|
| 771 |
+
"loss": 2.3397,
|
| 772 |
+
"step": 10900
|
| 773 |
+
},
|
| 774 |
+
{
|
| 775 |
+
"epoch": 1.0,
|
| 776 |
+
"step": 10920,
|
| 777 |
+
"total_flos": 1.59124040841796e+18,
|
| 778 |
+
"train_loss": 2.428147726093893,
|
| 779 |
+
"train_runtime": 2109.7476,
|
| 780 |
+
"train_samples_per_second": 82.811,
|
| 781 |
+
"train_steps_per_second": 5.176
|
| 782 |
+
}
|
| 783 |
+
],
|
| 784 |
+
"logging_steps": 100,
|
| 785 |
+
"max_steps": 10920,
|
| 786 |
+
"num_input_tokens_seen": 0,
|
| 787 |
+
"num_train_epochs": 1,
|
| 788 |
+
"save_steps": 500,
|
| 789 |
+
"stateful_callbacks": {
|
| 790 |
+
"TrainerControl": {
|
| 791 |
+
"args": {
|
| 792 |
+
"should_epoch_stop": false,
|
| 793 |
+
"should_evaluate": false,
|
| 794 |
+
"should_log": false,
|
| 795 |
+
"should_save": true,
|
| 796 |
+
"should_training_stop": true
|
| 797 |
+
},
|
| 798 |
+
"attributes": {}
|
| 799 |
+
}
|
| 800 |
+
},
|
| 801 |
+
"total_flos": 1.59124040841796e+18,
|
| 802 |
+
"train_batch_size": 2,
|
| 803 |
+
"trial_name": null,
|
| 804 |
+
"trial_params": null
|
| 805 |
+
}
|