Training in progress, step 27500, checkpoint
Browse files
checkpoint-27500/config.json
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "openai/clip-vit-large-patch14-336",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"CLIPModel"
|
| 5 |
+
],
|
| 6 |
+
"initializer_factor": 1.0,
|
| 7 |
+
"logit_scale_init_value": 2.6592,
|
| 8 |
+
"model_type": "clip",
|
| 9 |
+
"projection_dim": 768,
|
| 10 |
+
"text_config": {
|
| 11 |
+
"dropout": 0.0,
|
| 12 |
+
"hidden_size": 768,
|
| 13 |
+
"intermediate_size": 3072,
|
| 14 |
+
"model_type": "clip_text_model",
|
| 15 |
+
"num_attention_heads": 12,
|
| 16 |
+
"projection_dim": 768
|
| 17 |
+
},
|
| 18 |
+
"torch_dtype": "float32",
|
| 19 |
+
"transformers_version": "4.45.0.dev0",
|
| 20 |
+
"vision_config": {
|
| 21 |
+
"dropout": 0.0,
|
| 22 |
+
"hidden_size": 1024,
|
| 23 |
+
"image_size": 336,
|
| 24 |
+
"intermediate_size": 4096,
|
| 25 |
+
"model_type": "clip_vision_model",
|
| 26 |
+
"num_attention_heads": 16,
|
| 27 |
+
"num_hidden_layers": 24,
|
| 28 |
+
"patch_size": 14,
|
| 29 |
+
"projection_dim": 768
|
| 30 |
+
}
|
| 31 |
+
}
|
checkpoint-27500/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7700d87bf8352a6667cd49cc32526b4f86e97b78c6eb637fbc91fbf8989357bf
|
| 3 |
+
size 1711848436
|
checkpoint-27500/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0b6705c2a445cd8bd6a727e265e15863ef58773d096384448c8cc87eea8e769b
|
| 3 |
+
size 3424043887
|
checkpoint-27500/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d0d12a3814ea2ea5635120db20a92d7d2e1a1478e4b3bfe91610803485ef2b08
|
| 3 |
+
size 14503
|
checkpoint-27500/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8183ac79976b76957bbb5e79e892f059d7f9cade3499de4d4aab333493801f95
|
| 3 |
+
size 623
|
checkpoint-27500/trainer_state.json
ADDED
|
@@ -0,0 +1,858 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.4683026969432831,
|
| 3 |
+
"best_model_checkpoint": "./output/clip-finetuned-csu-p14-336-e4l57-l/checkpoint-27000",
|
| 4 |
+
"epoch": 2.9330204778157,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 27500,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.05332764505119454,
|
| 13 |
+
"grad_norm": 414.2552795410156,
|
| 14 |
+
"learning_rate": 4.911120591581342e-07,
|
| 15 |
+
"loss": 0.3809,
|
| 16 |
+
"step": 500
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.05332764505119454,
|
| 20 |
+
"eval_loss": 1.1109352111816406,
|
| 21 |
+
"eval_runtime": 63.6734,
|
| 22 |
+
"eval_samples_per_second": 15.501,
|
| 23 |
+
"eval_steps_per_second": 1.947,
|
| 24 |
+
"step": 500
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.10665529010238908,
|
| 28 |
+
"grad_norm": 45.880027770996094,
|
| 29 |
+
"learning_rate": 4.822241183162685e-07,
|
| 30 |
+
"loss": 0.2649,
|
| 31 |
+
"step": 1000
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.10665529010238908,
|
| 35 |
+
"eval_loss": 0.9588962197303772,
|
| 36 |
+
"eval_runtime": 62.6825,
|
| 37 |
+
"eval_samples_per_second": 15.746,
|
| 38 |
+
"eval_steps_per_second": 1.978,
|
| 39 |
+
"step": 1000
|
| 40 |
+
},
|
| 41 |
+
{
|
| 42 |
+
"epoch": 0.1599829351535836,
|
| 43 |
+
"grad_norm": 432.9915466308594,
|
| 44 |
+
"learning_rate": 4.733361774744027e-07,
|
| 45 |
+
"loss": 0.2104,
|
| 46 |
+
"step": 1500
|
| 47 |
+
},
|
| 48 |
+
{
|
| 49 |
+
"epoch": 0.1599829351535836,
|
| 50 |
+
"eval_loss": 0.90110844373703,
|
| 51 |
+
"eval_runtime": 62.6757,
|
| 52 |
+
"eval_samples_per_second": 15.748,
|
| 53 |
+
"eval_steps_per_second": 1.978,
|
| 54 |
+
"step": 1500
|
| 55 |
+
},
|
| 56 |
+
{
|
| 57 |
+
"epoch": 0.21331058020477817,
|
| 58 |
+
"grad_norm": 0.014208819717168808,
|
| 59 |
+
"learning_rate": 4.6444823663253695e-07,
|
| 60 |
+
"loss": 0.1849,
|
| 61 |
+
"step": 2000
|
| 62 |
+
},
|
| 63 |
+
{
|
| 64 |
+
"epoch": 0.21331058020477817,
|
| 65 |
+
"eval_loss": 0.8570474982261658,
|
| 66 |
+
"eval_runtime": 63.7296,
|
| 67 |
+
"eval_samples_per_second": 15.487,
|
| 68 |
+
"eval_steps_per_second": 1.946,
|
| 69 |
+
"step": 2000
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"epoch": 0.2666382252559727,
|
| 73 |
+
"grad_norm": 174.73324584960938,
|
| 74 |
+
"learning_rate": 4.5556029579067116e-07,
|
| 75 |
+
"loss": 0.2056,
|
| 76 |
+
"step": 2500
|
| 77 |
+
},
|
| 78 |
+
{
|
| 79 |
+
"epoch": 0.2666382252559727,
|
| 80 |
+
"eval_loss": 0.7895939350128174,
|
| 81 |
+
"eval_runtime": 63.8387,
|
| 82 |
+
"eval_samples_per_second": 15.461,
|
| 83 |
+
"eval_steps_per_second": 1.942,
|
| 84 |
+
"step": 2500
|
| 85 |
+
},
|
| 86 |
+
{
|
| 87 |
+
"epoch": 0.3199658703071672,
|
| 88 |
+
"grad_norm": 9.852073823424234e-09,
|
| 89 |
+
"learning_rate": 4.4667235494880547e-07,
|
| 90 |
+
"loss": 0.159,
|
| 91 |
+
"step": 3000
|
| 92 |
+
},
|
| 93 |
+
{
|
| 94 |
+
"epoch": 0.3199658703071672,
|
| 95 |
+
"eval_loss": 0.7647623419761658,
|
| 96 |
+
"eval_runtime": 63.9155,
|
| 97 |
+
"eval_samples_per_second": 15.442,
|
| 98 |
+
"eval_steps_per_second": 1.94,
|
| 99 |
+
"step": 3000
|
| 100 |
+
},
|
| 101 |
+
{
|
| 102 |
+
"epoch": 0.37329351535836175,
|
| 103 |
+
"grad_norm": 0.0025215104687958956,
|
| 104 |
+
"learning_rate": 4.377844141069397e-07,
|
| 105 |
+
"loss": 0.1696,
|
| 106 |
+
"step": 3500
|
| 107 |
+
},
|
| 108 |
+
{
|
| 109 |
+
"epoch": 0.37329351535836175,
|
| 110 |
+
"eval_loss": 0.7638036012649536,
|
| 111 |
+
"eval_runtime": 63.8003,
|
| 112 |
+
"eval_samples_per_second": 15.47,
|
| 113 |
+
"eval_steps_per_second": 1.944,
|
| 114 |
+
"step": 3500
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.42662116040955633,
|
| 118 |
+
"grad_norm": 2.4611830711364746,
|
| 119 |
+
"learning_rate": 4.2889647326507393e-07,
|
| 120 |
+
"loss": 0.1125,
|
| 121 |
+
"step": 4000
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.42662116040955633,
|
| 125 |
+
"eval_loss": 0.7486374378204346,
|
| 126 |
+
"eval_runtime": 63.9847,
|
| 127 |
+
"eval_samples_per_second": 15.426,
|
| 128 |
+
"eval_steps_per_second": 1.938,
|
| 129 |
+
"step": 4000
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.47994880546075086,
|
| 133 |
+
"grad_norm": 5.230295658111572,
|
| 134 |
+
"learning_rate": 4.2000853242320814e-07,
|
| 135 |
+
"loss": 0.1322,
|
| 136 |
+
"step": 4500
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"epoch": 0.47994880546075086,
|
| 140 |
+
"eval_loss": 0.7251659035682678,
|
| 141 |
+
"eval_runtime": 64.4782,
|
| 142 |
+
"eval_samples_per_second": 15.308,
|
| 143 |
+
"eval_steps_per_second": 1.923,
|
| 144 |
+
"step": 4500
|
| 145 |
+
},
|
| 146 |
+
{
|
| 147 |
+
"epoch": 0.5332764505119454,
|
| 148 |
+
"grad_norm": 3.821002974291332e-05,
|
| 149 |
+
"learning_rate": 4.1112059158134245e-07,
|
| 150 |
+
"loss": 0.1633,
|
| 151 |
+
"step": 5000
|
| 152 |
+
},
|
| 153 |
+
{
|
| 154 |
+
"epoch": 0.5332764505119454,
|
| 155 |
+
"eval_loss": 0.7035414576530457,
|
| 156 |
+
"eval_runtime": 62.6186,
|
| 157 |
+
"eval_samples_per_second": 15.762,
|
| 158 |
+
"eval_steps_per_second": 1.98,
|
| 159 |
+
"step": 5000
|
| 160 |
+
},
|
| 161 |
+
{
|
| 162 |
+
"epoch": 0.58660409556314,
|
| 163 |
+
"grad_norm": 5.916939244343666e-06,
|
| 164 |
+
"learning_rate": 4.0223265073947665e-07,
|
| 165 |
+
"loss": 0.125,
|
| 166 |
+
"step": 5500
|
| 167 |
+
},
|
| 168 |
+
{
|
| 169 |
+
"epoch": 0.58660409556314,
|
| 170 |
+
"eval_loss": 0.6792380809783936,
|
| 171 |
+
"eval_runtime": 65.0551,
|
| 172 |
+
"eval_samples_per_second": 15.172,
|
| 173 |
+
"eval_steps_per_second": 1.906,
|
| 174 |
+
"step": 5500
|
| 175 |
+
},
|
| 176 |
+
{
|
| 177 |
+
"epoch": 0.6399317406143344,
|
| 178 |
+
"grad_norm": 92.8386459350586,
|
| 179 |
+
"learning_rate": 3.933447098976109e-07,
|
| 180 |
+
"loss": 0.1297,
|
| 181 |
+
"step": 6000
|
| 182 |
+
},
|
| 183 |
+
{
|
| 184 |
+
"epoch": 0.6399317406143344,
|
| 185 |
+
"eval_loss": 0.6549482345581055,
|
| 186 |
+
"eval_runtime": 64.0827,
|
| 187 |
+
"eval_samples_per_second": 15.402,
|
| 188 |
+
"eval_steps_per_second": 1.935,
|
| 189 |
+
"step": 6000
|
| 190 |
+
},
|
| 191 |
+
{
|
| 192 |
+
"epoch": 0.693259385665529,
|
| 193 |
+
"grad_norm": 0.00014717792510055006,
|
| 194 |
+
"learning_rate": 3.8445676905574517e-07,
|
| 195 |
+
"loss": 0.1114,
|
| 196 |
+
"step": 6500
|
| 197 |
+
},
|
| 198 |
+
{
|
| 199 |
+
"epoch": 0.693259385665529,
|
| 200 |
+
"eval_loss": 0.6223254799842834,
|
| 201 |
+
"eval_runtime": 64.89,
|
| 202 |
+
"eval_samples_per_second": 15.21,
|
| 203 |
+
"eval_steps_per_second": 1.911,
|
| 204 |
+
"step": 6500
|
| 205 |
+
},
|
| 206 |
+
{
|
| 207 |
+
"epoch": 0.7465870307167235,
|
| 208 |
+
"grad_norm": 4.789559397977428e-07,
|
| 209 |
+
"learning_rate": 3.755688282138794e-07,
|
| 210 |
+
"loss": 0.144,
|
| 211 |
+
"step": 7000
|
| 212 |
+
},
|
| 213 |
+
{
|
| 214 |
+
"epoch": 0.7465870307167235,
|
| 215 |
+
"eval_loss": 0.6204637289047241,
|
| 216 |
+
"eval_runtime": 62.7674,
|
| 217 |
+
"eval_samples_per_second": 15.725,
|
| 218 |
+
"eval_steps_per_second": 1.976,
|
| 219 |
+
"step": 7000
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.7999146757679181,
|
| 223 |
+
"grad_norm": 1.7078508138656616,
|
| 224 |
+
"learning_rate": 3.6668088737201363e-07,
|
| 225 |
+
"loss": 0.1399,
|
| 226 |
+
"step": 7500
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 0.7999146757679181,
|
| 230 |
+
"eval_loss": 0.6074371933937073,
|
| 231 |
+
"eval_runtime": 63.4694,
|
| 232 |
+
"eval_samples_per_second": 15.551,
|
| 233 |
+
"eval_steps_per_second": 1.954,
|
| 234 |
+
"step": 7500
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 0.8532423208191127,
|
| 238 |
+
"grad_norm": 870.1183471679688,
|
| 239 |
+
"learning_rate": 3.5779294653014783e-07,
|
| 240 |
+
"loss": 0.141,
|
| 241 |
+
"step": 8000
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"epoch": 0.8532423208191127,
|
| 245 |
+
"eval_loss": 0.5950366854667664,
|
| 246 |
+
"eval_runtime": 62.915,
|
| 247 |
+
"eval_samples_per_second": 15.688,
|
| 248 |
+
"eval_steps_per_second": 1.971,
|
| 249 |
+
"step": 8000
|
| 250 |
+
},
|
| 251 |
+
{
|
| 252 |
+
"epoch": 0.9065699658703071,
|
| 253 |
+
"grad_norm": 5.781071013188921e-05,
|
| 254 |
+
"learning_rate": 3.4890500568828214e-07,
|
| 255 |
+
"loss": 0.1291,
|
| 256 |
+
"step": 8500
|
| 257 |
+
},
|
| 258 |
+
{
|
| 259 |
+
"epoch": 0.9065699658703071,
|
| 260 |
+
"eval_loss": 0.5800224542617798,
|
| 261 |
+
"eval_runtime": 62.3336,
|
| 262 |
+
"eval_samples_per_second": 15.834,
|
| 263 |
+
"eval_steps_per_second": 1.989,
|
| 264 |
+
"step": 8500
|
| 265 |
+
},
|
| 266 |
+
{
|
| 267 |
+
"epoch": 0.9598976109215017,
|
| 268 |
+
"grad_norm": 1.3669992685317993,
|
| 269 |
+
"learning_rate": 3.4001706484641635e-07,
|
| 270 |
+
"loss": 0.1246,
|
| 271 |
+
"step": 9000
|
| 272 |
+
},
|
| 273 |
+
{
|
| 274 |
+
"epoch": 0.9598976109215017,
|
| 275 |
+
"eval_loss": 0.5702486038208008,
|
| 276 |
+
"eval_runtime": 64.055,
|
| 277 |
+
"eval_samples_per_second": 15.409,
|
| 278 |
+
"eval_steps_per_second": 1.936,
|
| 279 |
+
"step": 9000
|
| 280 |
+
},
|
| 281 |
+
{
|
| 282 |
+
"epoch": 1.0132252559726962,
|
| 283 |
+
"grad_norm": 644.68115234375,
|
| 284 |
+
"learning_rate": 3.311291240045506e-07,
|
| 285 |
+
"loss": 0.1257,
|
| 286 |
+
"step": 9500
|
| 287 |
+
},
|
| 288 |
+
{
|
| 289 |
+
"epoch": 1.0132252559726962,
|
| 290 |
+
"eval_loss": 0.5807780623435974,
|
| 291 |
+
"eval_runtime": 62.5312,
|
| 292 |
+
"eval_samples_per_second": 15.784,
|
| 293 |
+
"eval_steps_per_second": 1.983,
|
| 294 |
+
"step": 9500
|
| 295 |
+
},
|
| 296 |
+
{
|
| 297 |
+
"epoch": 1.0665529010238908,
|
| 298 |
+
"grad_norm": 27.854568481445312,
|
| 299 |
+
"learning_rate": 3.2224118316268486e-07,
|
| 300 |
+
"loss": 0.0336,
|
| 301 |
+
"step": 10000
|
| 302 |
+
},
|
| 303 |
+
{
|
| 304 |
+
"epoch": 1.0665529010238908,
|
| 305 |
+
"eval_loss": 0.5713164210319519,
|
| 306 |
+
"eval_runtime": 62.5622,
|
| 307 |
+
"eval_samples_per_second": 15.776,
|
| 308 |
+
"eval_steps_per_second": 1.982,
|
| 309 |
+
"step": 10000
|
| 310 |
+
},
|
| 311 |
+
{
|
| 312 |
+
"epoch": 1.1198805460750854,
|
| 313 |
+
"grad_norm": 0.00045933027286082506,
|
| 314 |
+
"learning_rate": 3.133532423208191e-07,
|
| 315 |
+
"loss": 0.0663,
|
| 316 |
+
"step": 10500
|
| 317 |
+
},
|
| 318 |
+
{
|
| 319 |
+
"epoch": 1.1198805460750854,
|
| 320 |
+
"eval_loss": 0.5601483583450317,
|
| 321 |
+
"eval_runtime": 63.4675,
|
| 322 |
+
"eval_samples_per_second": 15.551,
|
| 323 |
+
"eval_steps_per_second": 1.954,
|
| 324 |
+
"step": 10500
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 1.17320819112628,
|
| 328 |
+
"grad_norm": 0.14330387115478516,
|
| 329 |
+
"learning_rate": 3.044653014789533e-07,
|
| 330 |
+
"loss": 0.078,
|
| 331 |
+
"step": 11000
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 1.17320819112628,
|
| 335 |
+
"eval_loss": 0.5580261945724487,
|
| 336 |
+
"eval_runtime": 63.3927,
|
| 337 |
+
"eval_samples_per_second": 15.57,
|
| 338 |
+
"eval_steps_per_second": 1.956,
|
| 339 |
+
"step": 11000
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 1.2265358361774745,
|
| 343 |
+
"grad_norm": 4.066005518388316e-11,
|
| 344 |
+
"learning_rate": 2.955773606370876e-07,
|
| 345 |
+
"loss": 0.1118,
|
| 346 |
+
"step": 11500
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 1.2265358361774745,
|
| 350 |
+
"eval_loss": 0.5491370558738708,
|
| 351 |
+
"eval_runtime": 63.7293,
|
| 352 |
+
"eval_samples_per_second": 15.487,
|
| 353 |
+
"eval_steps_per_second": 1.946,
|
| 354 |
+
"step": 11500
|
| 355 |
+
},
|
| 356 |
+
{
|
| 357 |
+
"epoch": 1.2798634812286689,
|
| 358 |
+
"grad_norm": 7.519358769059181e-05,
|
| 359 |
+
"learning_rate": 2.8668941979522184e-07,
|
| 360 |
+
"loss": 0.0534,
|
| 361 |
+
"step": 12000
|
| 362 |
+
},
|
| 363 |
+
{
|
| 364 |
+
"epoch": 1.2798634812286689,
|
| 365 |
+
"eval_loss": 0.5478764772415161,
|
| 366 |
+
"eval_runtime": 62.7547,
|
| 367 |
+
"eval_samples_per_second": 15.728,
|
| 368 |
+
"eval_steps_per_second": 1.976,
|
| 369 |
+
"step": 12000
|
| 370 |
+
},
|
| 371 |
+
{
|
| 372 |
+
"epoch": 1.3331911262798635,
|
| 373 |
+
"grad_norm": 8.400617446113756e-08,
|
| 374 |
+
"learning_rate": 2.778014789533561e-07,
|
| 375 |
+
"loss": 0.0507,
|
| 376 |
+
"step": 12500
|
| 377 |
+
},
|
| 378 |
+
{
|
| 379 |
+
"epoch": 1.3331911262798635,
|
| 380 |
+
"eval_loss": 0.576600968837738,
|
| 381 |
+
"eval_runtime": 64.301,
|
| 382 |
+
"eval_samples_per_second": 15.35,
|
| 383 |
+
"eval_steps_per_second": 1.928,
|
| 384 |
+
"step": 12500
|
| 385 |
+
},
|
| 386 |
+
{
|
| 387 |
+
"epoch": 1.386518771331058,
|
| 388 |
+
"grad_norm": 2.5385464130084356e-12,
|
| 389 |
+
"learning_rate": 2.689135381114903e-07,
|
| 390 |
+
"loss": 0.0784,
|
| 391 |
+
"step": 13000
|
| 392 |
+
},
|
| 393 |
+
{
|
| 394 |
+
"epoch": 1.386518771331058,
|
| 395 |
+
"eval_loss": 0.5729931592941284,
|
| 396 |
+
"eval_runtime": 63.652,
|
| 397 |
+
"eval_samples_per_second": 15.506,
|
| 398 |
+
"eval_steps_per_second": 1.948,
|
| 399 |
+
"step": 13000
|
| 400 |
+
},
|
| 401 |
+
{
|
| 402 |
+
"epoch": 1.4398464163822526,
|
| 403 |
+
"grad_norm": 0.08409273624420166,
|
| 404 |
+
"learning_rate": 2.600255972696246e-07,
|
| 405 |
+
"loss": 0.079,
|
| 406 |
+
"step": 13500
|
| 407 |
+
},
|
| 408 |
+
{
|
| 409 |
+
"epoch": 1.4398464163822526,
|
| 410 |
+
"eval_loss": 0.5694039463996887,
|
| 411 |
+
"eval_runtime": 62.8247,
|
| 412 |
+
"eval_samples_per_second": 15.71,
|
| 413 |
+
"eval_steps_per_second": 1.974,
|
| 414 |
+
"step": 13500
|
| 415 |
+
},
|
| 416 |
+
{
|
| 417 |
+
"epoch": 1.493174061433447,
|
| 418 |
+
"grad_norm": 3.7334253022436314e-08,
|
| 419 |
+
"learning_rate": 2.511376564277588e-07,
|
| 420 |
+
"loss": 0.0507,
|
| 421 |
+
"step": 14000
|
| 422 |
+
},
|
| 423 |
+
{
|
| 424 |
+
"epoch": 1.493174061433447,
|
| 425 |
+
"eval_loss": 0.5713907480239868,
|
| 426 |
+
"eval_runtime": 62.3577,
|
| 427 |
+
"eval_samples_per_second": 15.828,
|
| 428 |
+
"eval_steps_per_second": 1.989,
|
| 429 |
+
"step": 14000
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 1.5465017064846416,
|
| 433 |
+
"grad_norm": 1.5219894647598267,
|
| 434 |
+
"learning_rate": 2.422497155858931e-07,
|
| 435 |
+
"loss": 0.0774,
|
| 436 |
+
"step": 14500
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"epoch": 1.5465017064846416,
|
| 440 |
+
"eval_loss": 0.5674533843994141,
|
| 441 |
+
"eval_runtime": 62.3753,
|
| 442 |
+
"eval_samples_per_second": 15.824,
|
| 443 |
+
"eval_steps_per_second": 1.988,
|
| 444 |
+
"step": 14500
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 1.5998293515358362,
|
| 448 |
+
"grad_norm": 879.1193237304688,
|
| 449 |
+
"learning_rate": 2.333617747440273e-07,
|
| 450 |
+
"loss": 0.0376,
|
| 451 |
+
"step": 15000
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"epoch": 1.5998293515358362,
|
| 455 |
+
"eval_loss": 0.561253547668457,
|
| 456 |
+
"eval_runtime": 62.4788,
|
| 457 |
+
"eval_samples_per_second": 15.797,
|
| 458 |
+
"eval_steps_per_second": 1.985,
|
| 459 |
+
"step": 15000
|
| 460 |
+
},
|
| 461 |
+
{
|
| 462 |
+
"epoch": 1.6531569965870307,
|
| 463 |
+
"grad_norm": 0.0006221308722160757,
|
| 464 |
+
"learning_rate": 2.2447383390216154e-07,
|
| 465 |
+
"loss": 0.0929,
|
| 466 |
+
"step": 15500
|
| 467 |
+
},
|
| 468 |
+
{
|
| 469 |
+
"epoch": 1.6531569965870307,
|
| 470 |
+
"eval_loss": 0.5395999550819397,
|
| 471 |
+
"eval_runtime": 62.5651,
|
| 472 |
+
"eval_samples_per_second": 15.776,
|
| 473 |
+
"eval_steps_per_second": 1.982,
|
| 474 |
+
"step": 15500
|
| 475 |
+
},
|
| 476 |
+
{
|
| 477 |
+
"epoch": 1.7064846416382253,
|
| 478 |
+
"grad_norm": 37.85109329223633,
|
| 479 |
+
"learning_rate": 2.155858930602958e-07,
|
| 480 |
+
"loss": 0.0442,
|
| 481 |
+
"step": 16000
|
| 482 |
+
},
|
| 483 |
+
{
|
| 484 |
+
"epoch": 1.7064846416382253,
|
| 485 |
+
"eval_loss": 0.5307884216308594,
|
| 486 |
+
"eval_runtime": 62.4681,
|
| 487 |
+
"eval_samples_per_second": 15.8,
|
| 488 |
+
"eval_steps_per_second": 1.985,
|
| 489 |
+
"step": 16000
|
| 490 |
+
},
|
| 491 |
+
{
|
| 492 |
+
"epoch": 1.75981228668942,
|
| 493 |
+
"grad_norm": 9.600337885773413e-11,
|
| 494 |
+
"learning_rate": 2.0669795221843002e-07,
|
| 495 |
+
"loss": 0.0593,
|
| 496 |
+
"step": 16500
|
| 497 |
+
},
|
| 498 |
+
{
|
| 499 |
+
"epoch": 1.75981228668942,
|
| 500 |
+
"eval_loss": 0.5230685472488403,
|
| 501 |
+
"eval_runtime": 63.8124,
|
| 502 |
+
"eval_samples_per_second": 15.467,
|
| 503 |
+
"eval_steps_per_second": 1.943,
|
| 504 |
+
"step": 16500
|
| 505 |
+
},
|
| 506 |
+
{
|
| 507 |
+
"epoch": 1.8131399317406145,
|
| 508 |
+
"grad_norm": 9.067448940129619e-13,
|
| 509 |
+
"learning_rate": 1.9781001137656428e-07,
|
| 510 |
+
"loss": 0.0578,
|
| 511 |
+
"step": 17000
|
| 512 |
+
},
|
| 513 |
+
{
|
| 514 |
+
"epoch": 1.8131399317406145,
|
| 515 |
+
"eval_loss": 0.5200281739234924,
|
| 516 |
+
"eval_runtime": 62.3767,
|
| 517 |
+
"eval_samples_per_second": 15.823,
|
| 518 |
+
"eval_steps_per_second": 1.988,
|
| 519 |
+
"step": 17000
|
| 520 |
+
},
|
| 521 |
+
{
|
| 522 |
+
"epoch": 1.8664675767918089,
|
| 523 |
+
"grad_norm": 0.00843018852174282,
|
| 524 |
+
"learning_rate": 1.889220705346985e-07,
|
| 525 |
+
"loss": 0.0928,
|
| 526 |
+
"step": 17500
|
| 527 |
+
},
|
| 528 |
+
{
|
| 529 |
+
"epoch": 1.8664675767918089,
|
| 530 |
+
"eval_loss": 0.509168803691864,
|
| 531 |
+
"eval_runtime": 62.4108,
|
| 532 |
+
"eval_samples_per_second": 15.815,
|
| 533 |
+
"eval_steps_per_second": 1.987,
|
| 534 |
+
"step": 17500
|
| 535 |
+
},
|
| 536 |
+
{
|
| 537 |
+
"epoch": 1.9197952218430034,
|
| 538 |
+
"grad_norm": 4.264631314754297e-09,
|
| 539 |
+
"learning_rate": 1.8003412969283277e-07,
|
| 540 |
+
"loss": 0.0633,
|
| 541 |
+
"step": 18000
|
| 542 |
+
},
|
| 543 |
+
{
|
| 544 |
+
"epoch": 1.9197952218430034,
|
| 545 |
+
"eval_loss": 0.4954444468021393,
|
| 546 |
+
"eval_runtime": 63.3639,
|
| 547 |
+
"eval_samples_per_second": 15.577,
|
| 548 |
+
"eval_steps_per_second": 1.957,
|
| 549 |
+
"step": 18000
|
| 550 |
+
},
|
| 551 |
+
{
|
| 552 |
+
"epoch": 1.9731228668941978,
|
| 553 |
+
"grad_norm": 459.5137939453125,
|
| 554 |
+
"learning_rate": 1.7114618885096697e-07,
|
| 555 |
+
"loss": 0.067,
|
| 556 |
+
"step": 18500
|
| 557 |
+
},
|
| 558 |
+
{
|
| 559 |
+
"epoch": 1.9731228668941978,
|
| 560 |
+
"eval_loss": 0.49844062328338623,
|
| 561 |
+
"eval_runtime": 63.6573,
|
| 562 |
+
"eval_samples_per_second": 15.505,
|
| 563 |
+
"eval_steps_per_second": 1.948,
|
| 564 |
+
"step": 18500
|
| 565 |
+
},
|
| 566 |
+
{
|
| 567 |
+
"epoch": 2.0264505119453924,
|
| 568 |
+
"grad_norm": 0.27590689063072205,
|
| 569 |
+
"learning_rate": 1.6225824800910123e-07,
|
| 570 |
+
"loss": 0.0525,
|
| 571 |
+
"step": 19000
|
| 572 |
+
},
|
| 573 |
+
{
|
| 574 |
+
"epoch": 2.0264505119453924,
|
| 575 |
+
"eval_loss": 0.4999145269393921,
|
| 576 |
+
"eval_runtime": 63.1727,
|
| 577 |
+
"eval_samples_per_second": 15.624,
|
| 578 |
+
"eval_steps_per_second": 1.963,
|
| 579 |
+
"step": 19000
|
| 580 |
+
},
|
| 581 |
+
{
|
| 582 |
+
"epoch": 2.079778156996587,
|
| 583 |
+
"grad_norm": 1.349623744317796e-06,
|
| 584 |
+
"learning_rate": 1.533703071672355e-07,
|
| 585 |
+
"loss": 0.0301,
|
| 586 |
+
"step": 19500
|
| 587 |
+
},
|
| 588 |
+
{
|
| 589 |
+
"epoch": 2.079778156996587,
|
| 590 |
+
"eval_loss": 0.4926412105560303,
|
| 591 |
+
"eval_runtime": 63.4421,
|
| 592 |
+
"eval_samples_per_second": 15.557,
|
| 593 |
+
"eval_steps_per_second": 1.955,
|
| 594 |
+
"step": 19500
|
| 595 |
+
},
|
| 596 |
+
{
|
| 597 |
+
"epoch": 2.1331058020477816,
|
| 598 |
+
"grad_norm": 4.928138878312893e-06,
|
| 599 |
+
"learning_rate": 1.4448236632536972e-07,
|
| 600 |
+
"loss": 0.0408,
|
| 601 |
+
"step": 20000
|
| 602 |
+
},
|
| 603 |
+
{
|
| 604 |
+
"epoch": 2.1331058020477816,
|
| 605 |
+
"eval_loss": 0.4872625172138214,
|
| 606 |
+
"eval_runtime": 63.2047,
|
| 607 |
+
"eval_samples_per_second": 15.616,
|
| 608 |
+
"eval_steps_per_second": 1.962,
|
| 609 |
+
"step": 20000
|
| 610 |
+
},
|
| 611 |
+
{
|
| 612 |
+
"epoch": 2.186433447098976,
|
| 613 |
+
"grad_norm": 0.003605826525017619,
|
| 614 |
+
"learning_rate": 1.3559442548350398e-07,
|
| 615 |
+
"loss": 0.0489,
|
| 616 |
+
"step": 20500
|
| 617 |
+
},
|
| 618 |
+
{
|
| 619 |
+
"epoch": 2.186433447098976,
|
| 620 |
+
"eval_loss": 0.48834049701690674,
|
| 621 |
+
"eval_runtime": 63.5831,
|
| 622 |
+
"eval_samples_per_second": 15.523,
|
| 623 |
+
"eval_steps_per_second": 1.95,
|
| 624 |
+
"step": 20500
|
| 625 |
+
},
|
| 626 |
+
{
|
| 627 |
+
"epoch": 2.2397610921501707,
|
| 628 |
+
"grad_norm": 0.0027391298208385706,
|
| 629 |
+
"learning_rate": 1.267064846416382e-07,
|
| 630 |
+
"loss": 0.0354,
|
| 631 |
+
"step": 21000
|
| 632 |
+
},
|
| 633 |
+
{
|
| 634 |
+
"epoch": 2.2397610921501707,
|
| 635 |
+
"eval_loss": 0.4887964129447937,
|
| 636 |
+
"eval_runtime": 63.0462,
|
| 637 |
+
"eval_samples_per_second": 15.655,
|
| 638 |
+
"eval_steps_per_second": 1.967,
|
| 639 |
+
"step": 21000
|
| 640 |
+
},
|
| 641 |
+
{
|
| 642 |
+
"epoch": 2.2930887372013653,
|
| 643 |
+
"grad_norm": 1.5921540352792363e-07,
|
| 644 |
+
"learning_rate": 1.1781854379977247e-07,
|
| 645 |
+
"loss": 0.0667,
|
| 646 |
+
"step": 21500
|
| 647 |
+
},
|
| 648 |
+
{
|
| 649 |
+
"epoch": 2.2930887372013653,
|
| 650 |
+
"eval_loss": 0.4866587221622467,
|
| 651 |
+
"eval_runtime": 63.4143,
|
| 652 |
+
"eval_samples_per_second": 15.564,
|
| 653 |
+
"eval_steps_per_second": 1.955,
|
| 654 |
+
"step": 21500
|
| 655 |
+
},
|
| 656 |
+
{
|
| 657 |
+
"epoch": 2.34641638225256,
|
| 658 |
+
"grad_norm": 3.954861771404694e-09,
|
| 659 |
+
"learning_rate": 1.0893060295790671e-07,
|
| 660 |
+
"loss": 0.0315,
|
| 661 |
+
"step": 22000
|
| 662 |
+
},
|
| 663 |
+
{
|
| 664 |
+
"epoch": 2.34641638225256,
|
| 665 |
+
"eval_loss": 0.48805058002471924,
|
| 666 |
+
"eval_runtime": 63.4731,
|
| 667 |
+
"eval_samples_per_second": 15.55,
|
| 668 |
+
"eval_steps_per_second": 1.954,
|
| 669 |
+
"step": 22000
|
| 670 |
+
},
|
| 671 |
+
{
|
| 672 |
+
"epoch": 2.399744027303754,
|
| 673 |
+
"grad_norm": 1.405540217547241e-07,
|
| 674 |
+
"learning_rate": 1.0004266211604096e-07,
|
| 675 |
+
"loss": 0.0579,
|
| 676 |
+
"step": 22500
|
| 677 |
+
},
|
| 678 |
+
{
|
| 679 |
+
"epoch": 2.399744027303754,
|
| 680 |
+
"eval_loss": 0.48956525325775146,
|
| 681 |
+
"eval_runtime": 63.5675,
|
| 682 |
+
"eval_samples_per_second": 15.527,
|
| 683 |
+
"eval_steps_per_second": 1.951,
|
| 684 |
+
"step": 22500
|
| 685 |
+
},
|
| 686 |
+
{
|
| 687 |
+
"epoch": 2.453071672354949,
|
| 688 |
+
"grad_norm": 2.2330443698592717e-06,
|
| 689 |
+
"learning_rate": 9.11547212741752e-08,
|
| 690 |
+
"loss": 0.0387,
|
| 691 |
+
"step": 23000
|
| 692 |
+
},
|
| 693 |
+
{
|
| 694 |
+
"epoch": 2.453071672354949,
|
| 695 |
+
"eval_loss": 0.48340705037117004,
|
| 696 |
+
"eval_runtime": 62.238,
|
| 697 |
+
"eval_samples_per_second": 15.858,
|
| 698 |
+
"eval_steps_per_second": 1.992,
|
| 699 |
+
"step": 23000
|
| 700 |
+
},
|
| 701 |
+
{
|
| 702 |
+
"epoch": 2.506399317406143,
|
| 703 |
+
"grad_norm": 0.000771363964304328,
|
| 704 |
+
"learning_rate": 8.226678043230943e-08,
|
| 705 |
+
"loss": 0.0495,
|
| 706 |
+
"step": 23500
|
| 707 |
+
},
|
| 708 |
+
{
|
| 709 |
+
"epoch": 2.506399317406143,
|
| 710 |
+
"eval_loss": 0.48572421073913574,
|
| 711 |
+
"eval_runtime": 62.5175,
|
| 712 |
+
"eval_samples_per_second": 15.788,
|
| 713 |
+
"eval_steps_per_second": 1.983,
|
| 714 |
+
"step": 23500
|
| 715 |
+
},
|
| 716 |
+
{
|
| 717 |
+
"epoch": 2.5597269624573378,
|
| 718 |
+
"grad_norm": 4.620137588062789e-06,
|
| 719 |
+
"learning_rate": 7.337883959044368e-08,
|
| 720 |
+
"loss": 0.0364,
|
| 721 |
+
"step": 24000
|
| 722 |
+
},
|
| 723 |
+
{
|
| 724 |
+
"epoch": 2.5597269624573378,
|
| 725 |
+
"eval_loss": 0.4860812723636627,
|
| 726 |
+
"eval_runtime": 64.1674,
|
| 727 |
+
"eval_samples_per_second": 15.382,
|
| 728 |
+
"eval_steps_per_second": 1.932,
|
| 729 |
+
"step": 24000
|
| 730 |
+
},
|
| 731 |
+
{
|
| 732 |
+
"epoch": 2.6130546075085324,
|
| 733 |
+
"grad_norm": 0.002093038521707058,
|
| 734 |
+
"learning_rate": 6.449089874857792e-08,
|
| 735 |
+
"loss": 0.0567,
|
| 736 |
+
"step": 24500
|
| 737 |
+
},
|
| 738 |
+
{
|
| 739 |
+
"epoch": 2.6130546075085324,
|
| 740 |
+
"eval_loss": 0.47645464539527893,
|
| 741 |
+
"eval_runtime": 62.5764,
|
| 742 |
+
"eval_samples_per_second": 15.773,
|
| 743 |
+
"eval_steps_per_second": 1.982,
|
| 744 |
+
"step": 24500
|
| 745 |
+
},
|
| 746 |
+
{
|
| 747 |
+
"epoch": 2.666382252559727,
|
| 748 |
+
"grad_norm": 0.06298387795686722,
|
| 749 |
+
"learning_rate": 5.560295790671217e-08,
|
| 750 |
+
"loss": 0.0293,
|
| 751 |
+
"step": 25000
|
| 752 |
+
},
|
| 753 |
+
{
|
| 754 |
+
"epoch": 2.666382252559727,
|
| 755 |
+
"eval_loss": 0.4704216718673706,
|
| 756 |
+
"eval_runtime": 62.5161,
|
| 757 |
+
"eval_samples_per_second": 15.788,
|
| 758 |
+
"eval_steps_per_second": 1.983,
|
| 759 |
+
"step": 25000
|
| 760 |
+
},
|
| 761 |
+
{
|
| 762 |
+
"epoch": 2.7197098976109215,
|
| 763 |
+
"grad_norm": 8.860251546138898e-05,
|
| 764 |
+
"learning_rate": 4.6715017064846414e-08,
|
| 765 |
+
"loss": 0.0423,
|
| 766 |
+
"step": 25500
|
| 767 |
+
},
|
| 768 |
+
{
|
| 769 |
+
"epoch": 2.7197098976109215,
|
| 770 |
+
"eval_loss": 0.4728304445743561,
|
| 771 |
+
"eval_runtime": 64.3471,
|
| 772 |
+
"eval_samples_per_second": 15.339,
|
| 773 |
+
"eval_steps_per_second": 1.927,
|
| 774 |
+
"step": 25500
|
| 775 |
+
},
|
| 776 |
+
{
|
| 777 |
+
"epoch": 2.773037542662116,
|
| 778 |
+
"grad_norm": 0.011455412954092026,
|
| 779 |
+
"learning_rate": 3.782707622298066e-08,
|
| 780 |
+
"loss": 0.0329,
|
| 781 |
+
"step": 26000
|
| 782 |
+
},
|
| 783 |
+
{
|
| 784 |
+
"epoch": 2.773037542662116,
|
| 785 |
+
"eval_loss": 0.4687952697277069,
|
| 786 |
+
"eval_runtime": 62.5434,
|
| 787 |
+
"eval_samples_per_second": 15.781,
|
| 788 |
+
"eval_steps_per_second": 1.983,
|
| 789 |
+
"step": 26000
|
| 790 |
+
},
|
| 791 |
+
{
|
| 792 |
+
"epoch": 2.8263651877133107,
|
| 793 |
+
"grad_norm": 6.86415660311468e-05,
|
| 794 |
+
"learning_rate": 2.8939135381114903e-08,
|
| 795 |
+
"loss": 0.0204,
|
| 796 |
+
"step": 26500
|
| 797 |
+
},
|
| 798 |
+
{
|
| 799 |
+
"epoch": 2.8263651877133107,
|
| 800 |
+
"eval_loss": 0.4695761501789093,
|
| 801 |
+
"eval_runtime": 62.7735,
|
| 802 |
+
"eval_samples_per_second": 15.723,
|
| 803 |
+
"eval_steps_per_second": 1.975,
|
| 804 |
+
"step": 26500
|
| 805 |
+
},
|
| 806 |
+
{
|
| 807 |
+
"epoch": 2.8796928327645053,
|
| 808 |
+
"grad_norm": 0.0004355937708169222,
|
| 809 |
+
"learning_rate": 2.0051194539249147e-08,
|
| 810 |
+
"loss": 0.029,
|
| 811 |
+
"step": 27000
|
| 812 |
+
},
|
| 813 |
+
{
|
| 814 |
+
"epoch": 2.8796928327645053,
|
| 815 |
+
"eval_loss": 0.4683026969432831,
|
| 816 |
+
"eval_runtime": 64.0454,
|
| 817 |
+
"eval_samples_per_second": 15.411,
|
| 818 |
+
"eval_steps_per_second": 1.936,
|
| 819 |
+
"step": 27000
|
| 820 |
+
},
|
| 821 |
+
{
|
| 822 |
+
"epoch": 2.9330204778157,
|
| 823 |
+
"grad_norm": 7.837662963083858e-08,
|
| 824 |
+
"learning_rate": 1.116325369738339e-08,
|
| 825 |
+
"loss": 0.028,
|
| 826 |
+
"step": 27500
|
| 827 |
+
},
|
| 828 |
+
{
|
| 829 |
+
"epoch": 2.9330204778157,
|
| 830 |
+
"eval_loss": 0.46839141845703125,
|
| 831 |
+
"eval_runtime": 62.4096,
|
| 832 |
+
"eval_samples_per_second": 15.815,
|
| 833 |
+
"eval_steps_per_second": 1.987,
|
| 834 |
+
"step": 27500
|
| 835 |
+
}
|
| 836 |
+
],
|
| 837 |
+
"logging_steps": 500,
|
| 838 |
+
"max_steps": 28128,
|
| 839 |
+
"num_input_tokens_seen": 0,
|
| 840 |
+
"num_train_epochs": 3,
|
| 841 |
+
"save_steps": 500,
|
| 842 |
+
"stateful_callbacks": {
|
| 843 |
+
"TrainerControl": {
|
| 844 |
+
"args": {
|
| 845 |
+
"should_epoch_stop": false,
|
| 846 |
+
"should_evaluate": false,
|
| 847 |
+
"should_log": false,
|
| 848 |
+
"should_save": true,
|
| 849 |
+
"should_training_stop": false
|
| 850 |
+
},
|
| 851 |
+
"attributes": {}
|
| 852 |
+
}
|
| 853 |
+
},
|
| 854 |
+
"total_flos": 9894074176352520.0,
|
| 855 |
+
"train_batch_size": 2,
|
| 856 |
+
"trial_name": null,
|
| 857 |
+
"trial_params": null
|
| 858 |
+
}
|
checkpoint-27500/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:057f6bbf1ff3e34abda0863071bbf5fdcc7edb1102f04dba05c7a15087bc3396
|
| 3 |
+
size 4847
|