End of training
Browse files- README.md +5 -1
- all_results.json +14 -0
- eval_results.json +8 -0
- runs/Jun06_14-24-37_1b12808382c0/events.out.tfevents.1717695277.1b12808382c0.6011.1 +3 -0
- train_results.json +9 -0
- trainer_state.json +154 -0
README.md
CHANGED
|
@@ -3,6 +3,8 @@ license: apache-2.0
|
|
| 3 |
base_model: google/flan-t5-small
|
| 4 |
tags:
|
| 5 |
- generated_from_trainer
|
|
|
|
|
|
|
| 6 |
model-index:
|
| 7 |
- name: FLAN_T5_MRQA
|
| 8 |
results: []
|
|
@@ -14,7 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 14 |
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/favcowboy/huggingface/runs/bl0b2lx0)
|
| 15 |
# FLAN_T5_MRQA
|
| 16 |
|
| 17 |
-
This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on
|
|
|
|
|
|
|
| 18 |
|
| 19 |
## Model description
|
| 20 |
|
|
|
|
| 3 |
base_model: google/flan-t5-small
|
| 4 |
tags:
|
| 5 |
- generated_from_trainer
|
| 6 |
+
datasets:
|
| 7 |
+
- enriquesaou/mrqa-squadded-sample
|
| 8 |
model-index:
|
| 9 |
- name: FLAN_T5_MRQA
|
| 10 |
results: []
|
|
|
|
| 16 |
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/favcowboy/huggingface/runs/bl0b2lx0)
|
| 17 |
# FLAN_T5_MRQA
|
| 18 |
|
| 19 |
+
This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the enriquesaou/mrqa-squadded-sample dataset.
|
| 20 |
+
It achieves the following results on the evaluation set:
|
| 21 |
+
- Loss: 1.8409
|
| 22 |
|
| 23 |
## Model description
|
| 24 |
|
all_results.json
ADDED
|
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 4.0,
|
| 3 |
+
"eval_loss": 1.8408622741699219,
|
| 4 |
+
"eval_runtime": 223.2294,
|
| 5 |
+
"eval_samples": 22279,
|
| 6 |
+
"eval_samples_per_second": 99.803,
|
| 7 |
+
"eval_steps_per_second": 12.476,
|
| 8 |
+
"total_flos": 5.57671514112e+16,
|
| 9 |
+
"train_loss": 0.8718166570974631,
|
| 10 |
+
"train_runtime": 11124.9814,
|
| 11 |
+
"train_samples": 100000,
|
| 12 |
+
"train_samples_per_second": 35.955,
|
| 13 |
+
"train_steps_per_second": 0.749
|
| 14 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 4.0,
|
| 3 |
+
"eval_loss": 1.8408622741699219,
|
| 4 |
+
"eval_runtime": 223.2294,
|
| 5 |
+
"eval_samples": 22279,
|
| 6 |
+
"eval_samples_per_second": 99.803,
|
| 7 |
+
"eval_steps_per_second": 12.476
|
| 8 |
+
}
|
runs/Jun06_14-24-37_1b12808382c0/events.out.tfevents.1717695277.1b12808382c0.6011.1
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ac8128fccdedc4166b56c926934445a22da4c5d6cb8bd0f3ef2e7df72f8e4320
|
| 3 |
+
size 359
|
train_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 4.0,
|
| 3 |
+
"total_flos": 5.57671514112e+16,
|
| 4 |
+
"train_loss": 0.8718166570974631,
|
| 5 |
+
"train_runtime": 11124.9814,
|
| 6 |
+
"train_samples": 100000,
|
| 7 |
+
"train_samples_per_second": 35.955,
|
| 8 |
+
"train_steps_per_second": 0.749
|
| 9 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,154 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 4.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 8336,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.2399232245681382,
|
| 13 |
+
"grad_norm": 2.465574026107788,
|
| 14 |
+
"learning_rate": 2.8200575815738963e-05,
|
| 15 |
+
"loss": 1.1212,
|
| 16 |
+
"step": 500
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.4798464491362764,
|
| 20 |
+
"grad_norm": 3.261763572692871,
|
| 21 |
+
"learning_rate": 2.640115163147793e-05,
|
| 22 |
+
"loss": 0.9721,
|
| 23 |
+
"step": 1000
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.7197696737044146,
|
| 27 |
+
"grad_norm": 3.3122525215148926,
|
| 28 |
+
"learning_rate": 2.4601727447216888e-05,
|
| 29 |
+
"loss": 0.9282,
|
| 30 |
+
"step": 1500
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.9596928982725528,
|
| 34 |
+
"grad_norm": 2.439178466796875,
|
| 35 |
+
"learning_rate": 2.2802303262955854e-05,
|
| 36 |
+
"loss": 0.9108,
|
| 37 |
+
"step": 2000
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 1.199616122840691,
|
| 41 |
+
"grad_norm": 2.484846830368042,
|
| 42 |
+
"learning_rate": 2.1002879078694817e-05,
|
| 43 |
+
"loss": 0.8742,
|
| 44 |
+
"step": 2500
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 1.4395393474088292,
|
| 48 |
+
"grad_norm": 3.605393409729004,
|
| 49 |
+
"learning_rate": 1.9203454894433783e-05,
|
| 50 |
+
"loss": 0.8873,
|
| 51 |
+
"step": 3000
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 1.6794625719769674,
|
| 55 |
+
"grad_norm": 2.1433281898498535,
|
| 56 |
+
"learning_rate": 1.7404030710172745e-05,
|
| 57 |
+
"loss": 0.8618,
|
| 58 |
+
"step": 3500
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 1.9193857965451055,
|
| 62 |
+
"grad_norm": 3.013890504837036,
|
| 63 |
+
"learning_rate": 1.5604606525911708e-05,
|
| 64 |
+
"loss": 0.8517,
|
| 65 |
+
"step": 4000
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 2.159309021113244,
|
| 69 |
+
"grad_norm": 3.020458936691284,
|
| 70 |
+
"learning_rate": 1.3805182341650672e-05,
|
| 71 |
+
"loss": 0.8473,
|
| 72 |
+
"step": 4500
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 2.399232245681382,
|
| 76 |
+
"grad_norm": 2.4140872955322266,
|
| 77 |
+
"learning_rate": 1.2005758157389636e-05,
|
| 78 |
+
"loss": 0.8312,
|
| 79 |
+
"step": 5000
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 2.63915547024952,
|
| 83 |
+
"grad_norm": 2.538238763809204,
|
| 84 |
+
"learning_rate": 1.0206333973128599e-05,
|
| 85 |
+
"loss": 0.8291,
|
| 86 |
+
"step": 5500
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 2.8790786948176583,
|
| 90 |
+
"grad_norm": 2.649840831756592,
|
| 91 |
+
"learning_rate": 8.406909788867563e-06,
|
| 92 |
+
"loss": 0.8218,
|
| 93 |
+
"step": 6000
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 3.1190019193857967,
|
| 97 |
+
"grad_norm": 2.9255142211914062,
|
| 98 |
+
"learning_rate": 6.607485604606526e-06,
|
| 99 |
+
"loss": 0.8212,
|
| 100 |
+
"step": 6500
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 3.3589251439539347,
|
| 104 |
+
"grad_norm": 2.9272096157073975,
|
| 105 |
+
"learning_rate": 4.8080614203454895e-06,
|
| 106 |
+
"loss": 0.8067,
|
| 107 |
+
"step": 7000
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 3.5988483685220727,
|
| 111 |
+
"grad_norm": 3.7314858436584473,
|
| 112 |
+
"learning_rate": 3.008637236084453e-06,
|
| 113 |
+
"loss": 0.818,
|
| 114 |
+
"step": 7500
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 3.838771593090211,
|
| 118 |
+
"grad_norm": 2.498305320739746,
|
| 119 |
+
"learning_rate": 1.2092130518234166e-06,
|
| 120 |
+
"loss": 0.8026,
|
| 121 |
+
"step": 8000
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 4.0,
|
| 125 |
+
"step": 8336,
|
| 126 |
+
"total_flos": 5.57671514112e+16,
|
| 127 |
+
"train_loss": 0.8718166570974631,
|
| 128 |
+
"train_runtime": 11124.9814,
|
| 129 |
+
"train_samples_per_second": 35.955,
|
| 130 |
+
"train_steps_per_second": 0.749
|
| 131 |
+
}
|
| 132 |
+
],
|
| 133 |
+
"logging_steps": 500,
|
| 134 |
+
"max_steps": 8336,
|
| 135 |
+
"num_input_tokens_seen": 0,
|
| 136 |
+
"num_train_epochs": 4,
|
| 137 |
+
"save_steps": 500,
|
| 138 |
+
"stateful_callbacks": {
|
| 139 |
+
"TrainerControl": {
|
| 140 |
+
"args": {
|
| 141 |
+
"should_epoch_stop": false,
|
| 142 |
+
"should_evaluate": false,
|
| 143 |
+
"should_log": false,
|
| 144 |
+
"should_save": true,
|
| 145 |
+
"should_training_stop": true
|
| 146 |
+
},
|
| 147 |
+
"attributes": {}
|
| 148 |
+
}
|
| 149 |
+
},
|
| 150 |
+
"total_flos": 5.57671514112e+16,
|
| 151 |
+
"train_batch_size": 48,
|
| 152 |
+
"trial_name": null,
|
| 153 |
+
"trial_params": null
|
| 154 |
+
}
|