Commit
·
a764d9f
1
Parent(s):
ba7457a
End of training
Browse files- README.md +2 -2
- all_results.json +15 -0
- eval_results.json +10 -0
- train_results.json +8 -0
- trainer_state.json +79 -0
README.md
CHANGED
|
@@ -14,7 +14,7 @@ model-index:
|
|
| 14 |
name: Causal Language Modeling
|
| 15 |
type: text-generation
|
| 16 |
dataset:
|
| 17 |
-
name: wikitext
|
| 18 |
type: wikitext
|
| 19 |
config: wikitext-2-raw-v1
|
| 20 |
split: validation
|
|
@@ -30,7 +30,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 30 |
|
| 31 |
# clm
|
| 32 |
|
| 33 |
-
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the wikitext dataset.
|
| 34 |
It achieves the following results on the evaluation set:
|
| 35 |
- Loss: 3.4802
|
| 36 |
- Accuracy: 0.3719
|
|
|
|
| 14 |
name: Causal Language Modeling
|
| 15 |
type: text-generation
|
| 16 |
dataset:
|
| 17 |
+
name: wikitext wikitext-2-raw-v1
|
| 18 |
type: wikitext
|
| 19 |
config: wikitext-2-raw-v1
|
| 20 |
split: validation
|
|
|
|
| 30 |
|
| 31 |
# clm
|
| 32 |
|
| 33 |
+
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the wikitext wikitext-2-raw-v1 dataset.
|
| 34 |
It achieves the following results on the evaluation set:
|
| 35 |
- Loss: 3.4802
|
| 36 |
- Accuracy: 0.3719
|
all_results.json
ADDED
|
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 0.99,
|
| 3 |
+
"eval_accuracy": 0.37187601824698596,
|
| 4 |
+
"eval_loss": 3.4801909923553467,
|
| 5 |
+
"eval_runtime": 104.7921,
|
| 6 |
+
"eval_samples": 240,
|
| 7 |
+
"eval_samples_per_second": 2.29,
|
| 8 |
+
"eval_steps_per_second": 0.286,
|
| 9 |
+
"perplexity": 32.46592222670883,
|
| 10 |
+
"train_loss": 3.7061044375101724,
|
| 11 |
+
"train_runtime": 2296.6495,
|
| 12 |
+
"train_samples": 2318,
|
| 13 |
+
"train_samples_per_second": 1.009,
|
| 14 |
+
"train_steps_per_second": 0.031
|
| 15 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 0.99,
|
| 3 |
+
"eval_accuracy": 0.37187601824698596,
|
| 4 |
+
"eval_loss": 3.4801909923553467,
|
| 5 |
+
"eval_runtime": 104.7921,
|
| 6 |
+
"eval_samples": 240,
|
| 7 |
+
"eval_samples_per_second": 2.29,
|
| 8 |
+
"eval_steps_per_second": 0.286,
|
| 9 |
+
"perplexity": 32.46592222670883
|
| 10 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 0.99,
|
| 3 |
+
"train_loss": 3.7061044375101724,
|
| 4 |
+
"train_runtime": 2296.6495,
|
| 5 |
+
"train_samples": 2318,
|
| 6 |
+
"train_samples_per_second": 1.009,
|
| 7 |
+
"train_steps_per_second": 0.031
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,79 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.37187601824698596,
|
| 3 |
+
"best_model_checkpoint": ".\\output\\checkpoint-72",
|
| 4 |
+
"epoch": 0.993103448275862,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 72,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.14,
|
| 13 |
+
"learning_rate": 2.90625e-05,
|
| 14 |
+
"loss": 3.9372,
|
| 15 |
+
"step": 10
|
| 16 |
+
},
|
| 17 |
+
{
|
| 18 |
+
"epoch": 0.28,
|
| 19 |
+
"learning_rate": 2.4375e-05,
|
| 20 |
+
"loss": 3.76,
|
| 21 |
+
"step": 20
|
| 22 |
+
},
|
| 23 |
+
{
|
| 24 |
+
"epoch": 0.41,
|
| 25 |
+
"learning_rate": 1.96875e-05,
|
| 26 |
+
"loss": 3.6869,
|
| 27 |
+
"step": 30
|
| 28 |
+
},
|
| 29 |
+
{
|
| 30 |
+
"epoch": 0.55,
|
| 31 |
+
"learning_rate": 1.5e-05,
|
| 32 |
+
"loss": 3.6689,
|
| 33 |
+
"step": 40
|
| 34 |
+
},
|
| 35 |
+
{
|
| 36 |
+
"epoch": 0.69,
|
| 37 |
+
"learning_rate": 1.03125e-05,
|
| 38 |
+
"loss": 3.6483,
|
| 39 |
+
"step": 50
|
| 40 |
+
},
|
| 41 |
+
{
|
| 42 |
+
"epoch": 0.83,
|
| 43 |
+
"learning_rate": 5.625e-06,
|
| 44 |
+
"loss": 3.6523,
|
| 45 |
+
"step": 60
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.97,
|
| 49 |
+
"learning_rate": 9.375e-07,
|
| 50 |
+
"loss": 3.6158,
|
| 51 |
+
"step": 70
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.99,
|
| 55 |
+
"eval_accuracy": 0.37187601824698596,
|
| 56 |
+
"eval_loss": 3.4801909923553467,
|
| 57 |
+
"eval_runtime": 101.4158,
|
| 58 |
+
"eval_samples_per_second": 2.366,
|
| 59 |
+
"eval_steps_per_second": 0.296,
|
| 60 |
+
"step": 72
|
| 61 |
+
},
|
| 62 |
+
{
|
| 63 |
+
"epoch": 0.99,
|
| 64 |
+
"step": 72,
|
| 65 |
+
"total_flos": 602027713363968.0,
|
| 66 |
+
"train_loss": 3.7061044375101724,
|
| 67 |
+
"train_runtime": 2296.6495,
|
| 68 |
+
"train_samples_per_second": 1.009,
|
| 69 |
+
"train_steps_per_second": 0.031
|
| 70 |
+
}
|
| 71 |
+
],
|
| 72 |
+
"logging_steps": 10,
|
| 73 |
+
"max_steps": 72,
|
| 74 |
+
"num_train_epochs": 1,
|
| 75 |
+
"save_steps": 100.0,
|
| 76 |
+
"total_flos": 602027713363968.0,
|
| 77 |
+
"trial_name": null,
|
| 78 |
+
"trial_params": null
|
| 79 |
+
}
|