Model save
Browse files- README.md +67 -0
- all_results.json +15 -0
- config.json +29 -0
- eval_results.json +10 -0
- generation_config.json +6 -0
- model.safetensors +3 -0
- special_tokens_map.json +5 -0
- tokenizer.json +0 -0
- tokenizer_config.json +9 -0
- train_results.json +8 -0
- trainer_state.json +2815 -0
- training_args.bin +3 -0
README.md
ADDED
|
@@ -0,0 +1,67 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: EleutherAI/pythia-31m
|
| 3 |
+
tags:
|
| 4 |
+
- generated_from_trainer
|
| 5 |
+
metrics:
|
| 6 |
+
- accuracy
|
| 7 |
+
model-index:
|
| 8 |
+
- name: BL-pythia-31m-simple_wikipedia_LM-2048-scratch
|
| 9 |
+
results: []
|
| 10 |
+
---
|
| 11 |
+
|
| 12 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 13 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 14 |
+
|
| 15 |
+
# BL-pythia-31m-simple_wikipedia_LM-2048-scratch
|
| 16 |
+
|
| 17 |
+
This model is a fine-tuned version of [EleutherAI/pythia-31m](https://huggingface.co/EleutherAI/pythia-31m) on the None dataset.
|
| 18 |
+
It achieves the following results on the evaluation set:
|
| 19 |
+
- Loss: 4.1763
|
| 20 |
+
- Accuracy: 0.3676
|
| 21 |
+
|
| 22 |
+
## Model description
|
| 23 |
+
|
| 24 |
+
More information needed
|
| 25 |
+
|
| 26 |
+
## Intended uses & limitations
|
| 27 |
+
|
| 28 |
+
More information needed
|
| 29 |
+
|
| 30 |
+
## Training and evaluation data
|
| 31 |
+
|
| 32 |
+
More information needed
|
| 33 |
+
|
| 34 |
+
## Training procedure
|
| 35 |
+
|
| 36 |
+
### Training hyperparameters
|
| 37 |
+
|
| 38 |
+
The following hyperparameters were used during training:
|
| 39 |
+
- learning_rate: 0.0005
|
| 40 |
+
- train_batch_size: 2
|
| 41 |
+
- eval_batch_size: 2
|
| 42 |
+
- seed: 80085
|
| 43 |
+
- gradient_accumulation_steps: 64
|
| 44 |
+
- total_train_batch_size: 128
|
| 45 |
+
- optimizer: Adam with betas=(0.9,0.99) and epsilon=1e-07
|
| 46 |
+
- lr_scheduler_type: inverse_sqrt
|
| 47 |
+
- lr_scheduler_warmup_ratio: 0.05
|
| 48 |
+
- num_epochs: 3.0
|
| 49 |
+
|
| 50 |
+
### Training results
|
| 51 |
+
|
| 52 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
| 53 |
+
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
| 54 |
+
| 5.8617 | 0.45 | 100 | 5.5276 | 0.2451 |
|
| 55 |
+
| 5.2782 | 0.9 | 200 | 4.9596 | 0.2965 |
|
| 56 |
+
| 4.9996 | 1.35 | 300 | 4.6412 | 0.3310 |
|
| 57 |
+
| 4.6292 | 1.8 | 400 | 4.4344 | 0.3485 |
|
| 58 |
+
| 4.5339 | 2.25 | 500 | 4.2875 | 0.3600 |
|
| 59 |
+
| 4.5214 | 2.7 | 600 | 4.1763 | 0.3676 |
|
| 60 |
+
|
| 61 |
+
|
| 62 |
+
### Framework versions
|
| 63 |
+
|
| 64 |
+
- Transformers 4.33.1
|
| 65 |
+
- Pytorch 2.2.0.dev20230907+cu118
|
| 66 |
+
- Datasets 2.14.5
|
| 67 |
+
- Tokenizers 0.13.3
|
all_results.json
ADDED
|
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"eval_accuracy": 0.4115085490962384,
|
| 4 |
+
"eval_loss": 3.6757330894470215,
|
| 5 |
+
"eval_runtime": 15.1278,
|
| 6 |
+
"eval_samples": 500,
|
| 7 |
+
"eval_samples_per_second": 33.052,
|
| 8 |
+
"eval_steps_per_second": 16.526,
|
| 9 |
+
"perplexity": 39.47758685408379,
|
| 10 |
+
"train_loss": 4.728262927737576,
|
| 11 |
+
"train_runtime": 4788.6915,
|
| 12 |
+
"train_samples": 28488,
|
| 13 |
+
"train_samples_per_second": 17.847,
|
| 14 |
+
"train_steps_per_second": 0.279
|
| 15 |
+
}
|
config.json
ADDED
|
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "EleutherAI/pythia-31m",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"GPTNeoXForCausalLM"
|
| 5 |
+
],
|
| 6 |
+
"attention_dropout": 0.0,
|
| 7 |
+
"bos_token_id": 0,
|
| 8 |
+
"classifier_dropout": 0.1,
|
| 9 |
+
"eos_token_id": 0,
|
| 10 |
+
"hidden_act": "gelu",
|
| 11 |
+
"hidden_dropout": 0.0,
|
| 12 |
+
"hidden_size": 256,
|
| 13 |
+
"initializer_range": 0.02,
|
| 14 |
+
"intermediate_size": 1024,
|
| 15 |
+
"layer_norm_eps": 1e-05,
|
| 16 |
+
"max_position_embeddings": 2048,
|
| 17 |
+
"model_type": "gpt_neox",
|
| 18 |
+
"num_attention_heads": 8,
|
| 19 |
+
"num_hidden_layers": 6,
|
| 20 |
+
"rope_scaling": null,
|
| 21 |
+
"rotary_emb_base": 10000,
|
| 22 |
+
"rotary_pct": 0.25,
|
| 23 |
+
"tie_word_embeddings": false,
|
| 24 |
+
"torch_dtype": "float32",
|
| 25 |
+
"transformers_version": "4.33.1",
|
| 26 |
+
"use_cache": true,
|
| 27 |
+
"use_parallel_residual": true,
|
| 28 |
+
"vocab_size": 50304
|
| 29 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"eval_accuracy": 0.4115085490962384,
|
| 4 |
+
"eval_loss": 3.6757330894470215,
|
| 5 |
+
"eval_runtime": 15.1278,
|
| 6 |
+
"eval_samples": 500,
|
| 7 |
+
"eval_samples_per_second": 33.052,
|
| 8 |
+
"eval_steps_per_second": 16.526,
|
| 9 |
+
"perplexity": 39.47758685408379
|
| 10 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"bos_token_id": 0,
|
| 4 |
+
"eos_token_id": 0,
|
| 5 |
+
"transformers_version": "4.33.1"
|
| 6 |
+
}
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fd3df4e1df517657c3eff9bdbc5929ac336fa8d09a965f84864c64eb7bdd56af
|
| 3 |
+
size 121988328
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": "<|endoftext|>",
|
| 3 |
+
"eos_token": "<|endoftext|>",
|
| 4 |
+
"unk_token": "<|endoftext|>"
|
| 5 |
+
}
|
tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"bos_token": "<|endoftext|>",
|
| 4 |
+
"clean_up_tokenization_spaces": true,
|
| 5 |
+
"eos_token": "<|endoftext|>",
|
| 6 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 7 |
+
"tokenizer_class": "GPTNeoXTokenizer",
|
| 8 |
+
"unk_token": "<|endoftext|>"
|
| 9 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"train_loss": 4.728262927737576,
|
| 4 |
+
"train_runtime": 4788.6915,
|
| 5 |
+
"train_samples": 28488,
|
| 6 |
+
"train_samples_per_second": 17.847,
|
| 7 |
+
"train_steps_per_second": 0.279
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,2815 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 2.9991575400168493,
|
| 5 |
+
"eval_steps": 100,
|
| 6 |
+
"global_step": 1335,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.01,
|
| 13 |
+
"learning_rate": 2.2388059701492536e-05,
|
| 14 |
+
"loss": 10.8621,
|
| 15 |
+
"step": 3
|
| 16 |
+
},
|
| 17 |
+
{
|
| 18 |
+
"epoch": 0.01,
|
| 19 |
+
"learning_rate": 4.477611940298507e-05,
|
| 20 |
+
"loss": 10.767,
|
| 21 |
+
"step": 6
|
| 22 |
+
},
|
| 23 |
+
{
|
| 24 |
+
"epoch": 0.02,
|
| 25 |
+
"learning_rate": 6.716417910447761e-05,
|
| 26 |
+
"loss": 10.5723,
|
| 27 |
+
"step": 9
|
| 28 |
+
},
|
| 29 |
+
{
|
| 30 |
+
"epoch": 0.03,
|
| 31 |
+
"learning_rate": 8.955223880597014e-05,
|
| 32 |
+
"loss": 10.4057,
|
| 33 |
+
"step": 12
|
| 34 |
+
},
|
| 35 |
+
{
|
| 36 |
+
"epoch": 0.03,
|
| 37 |
+
"learning_rate": 0.00011194029850746269,
|
| 38 |
+
"loss": 10.2623,
|
| 39 |
+
"step": 15
|
| 40 |
+
},
|
| 41 |
+
{
|
| 42 |
+
"epoch": 0.04,
|
| 43 |
+
"learning_rate": 0.00013432835820895522,
|
| 44 |
+
"loss": 10.0998,
|
| 45 |
+
"step": 18
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.05,
|
| 49 |
+
"learning_rate": 0.00015671641791044778,
|
| 50 |
+
"loss": 9.9577,
|
| 51 |
+
"step": 21
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.05,
|
| 55 |
+
"learning_rate": 0.00017910447761194028,
|
| 56 |
+
"loss": 9.8105,
|
| 57 |
+
"step": 24
|
| 58 |
+
},
|
| 59 |
+
{
|
| 60 |
+
"epoch": 0.06,
|
| 61 |
+
"learning_rate": 0.00020149253731343284,
|
| 62 |
+
"loss": 9.5994,
|
| 63 |
+
"step": 27
|
| 64 |
+
},
|
| 65 |
+
{
|
| 66 |
+
"epoch": 0.07,
|
| 67 |
+
"learning_rate": 0.00022388059701492538,
|
| 68 |
+
"loss": 9.4189,
|
| 69 |
+
"step": 30
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"epoch": 0.07,
|
| 73 |
+
"learning_rate": 0.0002462686567164179,
|
| 74 |
+
"loss": 9.1967,
|
| 75 |
+
"step": 33
|
| 76 |
+
},
|
| 77 |
+
{
|
| 78 |
+
"epoch": 0.08,
|
| 79 |
+
"learning_rate": 0.00026865671641791044,
|
| 80 |
+
"loss": 8.9757,
|
| 81 |
+
"step": 36
|
| 82 |
+
},
|
| 83 |
+
{
|
| 84 |
+
"epoch": 0.09,
|
| 85 |
+
"learning_rate": 0.00029104477611940297,
|
| 86 |
+
"loss": 8.7393,
|
| 87 |
+
"step": 39
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.09,
|
| 91 |
+
"learning_rate": 0.00031343283582089556,
|
| 92 |
+
"loss": 8.4736,
|
| 93 |
+
"step": 42
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.1,
|
| 97 |
+
"learning_rate": 0.0003358208955223881,
|
| 98 |
+
"loss": 8.3719,
|
| 99 |
+
"step": 45
|
| 100 |
+
},
|
| 101 |
+
{
|
| 102 |
+
"epoch": 0.11,
|
| 103 |
+
"learning_rate": 0.00035820895522388057,
|
| 104 |
+
"loss": 8.1845,
|
| 105 |
+
"step": 48
|
| 106 |
+
},
|
| 107 |
+
{
|
| 108 |
+
"epoch": 0.11,
|
| 109 |
+
"learning_rate": 0.00038059701492537315,
|
| 110 |
+
"loss": 7.9457,
|
| 111 |
+
"step": 51
|
| 112 |
+
},
|
| 113 |
+
{
|
| 114 |
+
"epoch": 0.12,
|
| 115 |
+
"learning_rate": 0.0004029850746268657,
|
| 116 |
+
"loss": 7.7169,
|
| 117 |
+
"step": 54
|
| 118 |
+
},
|
| 119 |
+
{
|
| 120 |
+
"epoch": 0.13,
|
| 121 |
+
"learning_rate": 0.0004253731343283582,
|
| 122 |
+
"loss": 7.4515,
|
| 123 |
+
"step": 57
|
| 124 |
+
},
|
| 125 |
+
{
|
| 126 |
+
"epoch": 0.13,
|
| 127 |
+
"learning_rate": 0.00044776119402985075,
|
| 128 |
+
"loss": 7.3122,
|
| 129 |
+
"step": 60
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.14,
|
| 133 |
+
"learning_rate": 0.00047014925373134334,
|
| 134 |
+
"loss": 7.0979,
|
| 135 |
+
"step": 63
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.15,
|
| 139 |
+
"learning_rate": 0.0004925373134328358,
|
| 140 |
+
"loss": 7.0553,
|
| 141 |
+
"step": 66
|
| 142 |
+
},
|
| 143 |
+
{
|
| 144 |
+
"epoch": 0.16,
|
| 145 |
+
"learning_rate": 0.0004927003381249152,
|
| 146 |
+
"loss": 6.9408,
|
| 147 |
+
"step": 69
|
| 148 |
+
},
|
| 149 |
+
{
|
| 150 |
+
"epoch": 0.16,
|
| 151 |
+
"learning_rate": 0.00048232653761625933,
|
| 152 |
+
"loss": 6.7523,
|
| 153 |
+
"step": 72
|
| 154 |
+
},
|
| 155 |
+
{
|
| 156 |
+
"epoch": 0.17,
|
| 157 |
+
"learning_rate": 0.00047258156262526085,
|
| 158 |
+
"loss": 6.5754,
|
| 159 |
+
"step": 75
|
| 160 |
+
},
|
| 161 |
+
{
|
| 162 |
+
"epoch": 0.18,
|
| 163 |
+
"learning_rate": 0.0004634043479981492,
|
| 164 |
+
"loss": 6.2952,
|
| 165 |
+
"step": 78
|
| 166 |
+
},
|
| 167 |
+
{
|
| 168 |
+
"epoch": 0.18,
|
| 169 |
+
"learning_rate": 0.00045474182065958054,
|
| 170 |
+
"loss": 6.3841,
|
| 171 |
+
"step": 81
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 0.19,
|
| 175 |
+
"learning_rate": 0.00044654760317883456,
|
| 176 |
+
"loss": 6.3261,
|
| 177 |
+
"step": 84
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.2,
|
| 181 |
+
"learning_rate": 0.0004387809654396872,
|
| 182 |
+
"loss": 6.2896,
|
| 183 |
+
"step": 87
|
| 184 |
+
},
|
| 185 |
+
{
|
| 186 |
+
"epoch": 0.2,
|
| 187 |
+
"learning_rate": 0.0004314059701848262,
|
| 188 |
+
"loss": 6.3229,
|
| 189 |
+
"step": 90
|
| 190 |
+
},
|
| 191 |
+
{
|
| 192 |
+
"epoch": 0.21,
|
| 193 |
+
"learning_rate": 0.0004243907714379761,
|
| 194 |
+
"loss": 6.0904,
|
| 195 |
+
"step": 93
|
| 196 |
+
},
|
| 197 |
+
{
|
| 198 |
+
"epoch": 0.22,
|
| 199 |
+
"learning_rate": 0.00041770703449507126,
|
| 200 |
+
"loss": 6.0741,
|
| 201 |
+
"step": 96
|
| 202 |
+
},
|
| 203 |
+
{
|
| 204 |
+
"epoch": 0.22,
|
| 205 |
+
"learning_rate": 0.00041132945334843116,
|
| 206 |
+
"loss": 6.077,
|
| 207 |
+
"step": 99
|
| 208 |
+
},
|
| 209 |
+
{
|
| 210 |
+
"epoch": 0.22,
|
| 211 |
+
"eval_accuracy": 0.24181827063996092,
|
| 212 |
+
"eval_loss": 5.63174295425415,
|
| 213 |
+
"eval_runtime": 15.0735,
|
| 214 |
+
"eval_samples_per_second": 33.171,
|
| 215 |
+
"eval_steps_per_second": 16.585,
|
| 216 |
+
"step": 100
|
| 217 |
+
},
|
| 218 |
+
{
|
| 219 |
+
"epoch": 0.23,
|
| 220 |
+
"learning_rate": 0.00040523534677334083,
|
| 221 |
+
"loss": 6.0036,
|
| 222 |
+
"step": 102
|
| 223 |
+
},
|
| 224 |
+
{
|
| 225 |
+
"epoch": 0.24,
|
| 226 |
+
"learning_rate": 0.0003994043183589901,
|
| 227 |
+
"loss": 5.9912,
|
| 228 |
+
"step": 105
|
| 229 |
+
},
|
| 230 |
+
{
|
| 231 |
+
"epoch": 0.24,
|
| 232 |
+
"learning_rate": 0.000393817968854384,
|
| 233 |
+
"loss": 5.9011,
|
| 234 |
+
"step": 108
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 0.25,
|
| 238 |
+
"learning_rate": 0.00038845965157388086,
|
| 239 |
+
"loss": 5.944,
|
| 240 |
+
"step": 111
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 0.26,
|
| 244 |
+
"learning_rate": 0.00038331426344633137,
|
| 245 |
+
"loss": 5.6939,
|
| 246 |
+
"step": 114
|
| 247 |
+
},
|
| 248 |
+
{
|
| 249 |
+
"epoch": 0.26,
|
| 250 |
+
"learning_rate": 0.00037836806572753097,
|
| 251 |
+
"loss": 5.8592,
|
| 252 |
+
"step": 117
|
| 253 |
+
},
|
| 254 |
+
{
|
| 255 |
+
"epoch": 0.27,
|
| 256 |
+
"learning_rate": 0.0003736085295243316,
|
| 257 |
+
"loss": 5.6326,
|
| 258 |
+
"step": 120
|
| 259 |
+
},
|
| 260 |
+
{
|
| 261 |
+
"epoch": 0.28,
|
| 262 |
+
"learning_rate": 0.0003690242021719143,
|
| 263 |
+
"loss": 5.6688,
|
| 264 |
+
"step": 123
|
| 265 |
+
},
|
| 266 |
+
{
|
| 267 |
+
"epoch": 0.28,
|
| 268 |
+
"learning_rate": 0.0003646045912169894,
|
| 269 |
+
"loss": 5.668,
|
| 270 |
+
"step": 126
|
| 271 |
+
},
|
| 272 |
+
{
|
| 273 |
+
"epoch": 0.29,
|
| 274 |
+
"learning_rate": 0.0003603400633295028,
|
| 275 |
+
"loss": 5.7459,
|
| 276 |
+
"step": 129
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 0.3,
|
| 280 |
+
"learning_rate": 0.00035622175592450755,
|
| 281 |
+
"loss": 5.7216,
|
| 282 |
+
"step": 132
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 0.3,
|
| 286 |
+
"learning_rate": 0.00035224149964771913,
|
| 287 |
+
"loss": 5.498,
|
| 288 |
+
"step": 135
|
| 289 |
+
},
|
| 290 |
+
{
|
| 291 |
+
"epoch": 0.31,
|
| 292 |
+
"learning_rate": 0.0003483917501810324,
|
| 293 |
+
"loss": 5.4487,
|
| 294 |
+
"step": 138
|
| 295 |
+
},
|
| 296 |
+
{
|
| 297 |
+
"epoch": 0.32,
|
| 298 |
+
"learning_rate": 0.000344665528071977,
|
| 299 |
+
"loss": 5.764,
|
| 300 |
+
"step": 141
|
| 301 |
+
},
|
| 302 |
+
{
|
| 303 |
+
"epoch": 0.32,
|
| 304 |
+
"learning_rate": 0.0003410563654946854,
|
| 305 |
+
"loss": 5.5443,
|
| 306 |
+
"step": 144
|
| 307 |
+
},
|
| 308 |
+
{
|
| 309 |
+
"epoch": 0.33,
|
| 310 |
+
"learning_rate": 0.0003375582590180435,
|
| 311 |
+
"loss": 5.4449,
|
| 312 |
+
"step": 147
|
| 313 |
+
},
|
| 314 |
+
{
|
| 315 |
+
"epoch": 0.34,
|
| 316 |
+
"learning_rate": 0.0003341656275960571,
|
| 317 |
+
"loss": 5.5276,
|
| 318 |
+
"step": 150
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 0.34,
|
| 322 |
+
"learning_rate": 0.0003308732751114942,
|
| 323 |
+
"loss": 5.6636,
|
| 324 |
+
"step": 153
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 0.35,
|
| 328 |
+
"learning_rate": 0.000327676356900822,
|
| 329 |
+
"loss": 5.4768,
|
| 330 |
+
"step": 156
|
| 331 |
+
},
|
| 332 |
+
{
|
| 333 |
+
"epoch": 0.36,
|
| 334 |
+
"learning_rate": 0.00032457034976979266,
|
| 335 |
+
"loss": 5.4652,
|
| 336 |
+
"step": 159
|
| 337 |
+
},
|
| 338 |
+
{
|
| 339 |
+
"epoch": 0.36,
|
| 340 |
+
"learning_rate": 0.00032155102507750626,
|
| 341 |
+
"loss": 5.3164,
|
| 342 |
+
"step": 162
|
| 343 |
+
},
|
| 344 |
+
{
|
| 345 |
+
"epoch": 0.37,
|
| 346 |
+
"learning_rate": 0.00031861442452461495,
|
| 347 |
+
"loss": 5.4037,
|
| 348 |
+
"step": 165
|
| 349 |
+
},
|
| 350 |
+
{
|
| 351 |
+
"epoch": 0.38,
|
| 352 |
+
"learning_rate": 0.0003157568383303535,
|
| 353 |
+
"loss": 5.4498,
|
| 354 |
+
"step": 168
|
| 355 |
+
},
|
| 356 |
+
{
|
| 357 |
+
"epoch": 0.38,
|
| 358 |
+
"learning_rate": 0.00031297478552475916,
|
| 359 |
+
"loss": 5.324,
|
| 360 |
+
"step": 171
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 0.39,
|
| 364 |
+
"learning_rate": 0.00031026499611798295,
|
| 365 |
+
"loss": 5.315,
|
| 366 |
+
"step": 174
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 0.4,
|
| 370 |
+
"learning_rate": 0.0003076243949389936,
|
| 371 |
+
"loss": 5.3265,
|
| 372 |
+
"step": 177
|
| 373 |
+
},
|
| 374 |
+
{
|
| 375 |
+
"epoch": 0.4,
|
| 376 |
+
"learning_rate": 0.0003050500869620521,
|
| 377 |
+
"loss": 5.3672,
|
| 378 |
+
"step": 180
|
| 379 |
+
},
|
| 380 |
+
{
|
| 381 |
+
"epoch": 0.41,
|
| 382 |
+
"learning_rate": 0.0003025393439617544,
|
| 383 |
+
"loss": 5.4474,
|
| 384 |
+
"step": 183
|
| 385 |
+
},
|
| 386 |
+
{
|
| 387 |
+
"epoch": 0.42,
|
| 388 |
+
"learning_rate": 0.000300089592356783,
|
| 389 |
+
"loss": 5.1284,
|
| 390 |
+
"step": 186
|
| 391 |
+
},
|
| 392 |
+
{
|
| 393 |
+
"epoch": 0.42,
|
| 394 |
+
"learning_rate": 0.00029769840211922306,
|
| 395 |
+
"loss": 5.3965,
|
| 396 |
+
"step": 189
|
| 397 |
+
},
|
| 398 |
+
{
|
| 399 |
+
"epoch": 0.43,
|
| 400 |
+
"learning_rate": 0.000295363476640788,
|
| 401 |
+
"loss": 5.3393,
|
| 402 |
+
"step": 192
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 0.44,
|
| 406 |
+
"learning_rate": 0.0002930826434598881,
|
| 407 |
+
"loss": 5.303,
|
| 408 |
+
"step": 195
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 0.44,
|
| 412 |
+
"learning_rate": 0.0002908538457644313,
|
| 413 |
+
"loss": 5.2531,
|
| 414 |
+
"step": 198
|
| 415 |
+
},
|
| 416 |
+
{
|
| 417 |
+
"epoch": 0.45,
|
| 418 |
+
"eval_accuracy": 0.3039560332193454,
|
| 419 |
+
"eval_loss": 4.939572811126709,
|
| 420 |
+
"eval_runtime": 15.0765,
|
| 421 |
+
"eval_samples_per_second": 33.164,
|
| 422 |
+
"eval_steps_per_second": 16.582,
|
| 423 |
+
"step": 200
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 0.45,
|
| 427 |
+
"learning_rate": 0.00028867513459481295,
|
| 428 |
+
"loss": 5.3185,
|
| 429 |
+
"step": 201
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 0.46,
|
| 433 |
+
"learning_rate": 0.00028654466167991145,
|
| 434 |
+
"loss": 5.3985,
|
| 435 |
+
"step": 204
|
| 436 |
+
},
|
| 437 |
+
{
|
| 438 |
+
"epoch": 0.47,
|
| 439 |
+
"learning_rate": 0.00028446067284623944,
|
| 440 |
+
"loss": 5.1464,
|
| 441 |
+
"step": 207
|
| 442 |
+
},
|
| 443 |
+
{
|
| 444 |
+
"epoch": 0.47,
|
| 445 |
+
"learning_rate": 0.0002824215019468326,
|
| 446 |
+
"loss": 5.4369,
|
| 447 |
+
"step": 210
|
| 448 |
+
},
|
| 449 |
+
{
|
| 450 |
+
"epoch": 0.48,
|
| 451 |
+
"learning_rate": 0.0002804255652621247,
|
| 452 |
+
"loss": 5.1641,
|
| 453 |
+
"step": 213
|
| 454 |
+
},
|
| 455 |
+
{
|
| 456 |
+
"epoch": 0.49,
|
| 457 |
+
"learning_rate": 0.0002784713563300476,
|
| 458 |
+
"loss": 5.2121,
|
| 459 |
+
"step": 216
|
| 460 |
+
},
|
| 461 |
+
{
|
| 462 |
+
"epoch": 0.49,
|
| 463 |
+
"learning_rate": 0.0002765574411670027,
|
| 464 |
+
"loss": 5.2232,
|
| 465 |
+
"step": 219
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 0.5,
|
| 469 |
+
"learning_rate": 0.00027468245384525467,
|
| 470 |
+
"loss": 5.4016,
|
| 471 |
+
"step": 222
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 0.51,
|
| 475 |
+
"learning_rate": 0.00027284509239574835,
|
| 476 |
+
"loss": 5.1446,
|
| 477 |
+
"step": 225
|
| 478 |
+
},
|
| 479 |
+
{
|
| 480 |
+
"epoch": 0.51,
|
| 481 |
+
"learning_rate": 0.0002710441150084276,
|
| 482 |
+
"loss": 5.1719,
|
| 483 |
+
"step": 228
|
| 484 |
+
},
|
| 485 |
+
{
|
| 486 |
+
"epoch": 0.52,
|
| 487 |
+
"learning_rate": 0.0002692783365048561,
|
| 488 |
+
"loss": 5.3019,
|
| 489 |
+
"step": 231
|
| 490 |
+
},
|
| 491 |
+
{
|
| 492 |
+
"epoch": 0.53,
|
| 493 |
+
"learning_rate": 0.00026754662506037446,
|
| 494 |
+
"loss": 5.2286,
|
| 495 |
+
"step": 234
|
| 496 |
+
},
|
| 497 |
+
{
|
| 498 |
+
"epoch": 0.53,
|
| 499 |
+
"learning_rate": 0.0002658478991551975,
|
| 500 |
+
"loss": 5.2272,
|
| 501 |
+
"step": 237
|
| 502 |
+
},
|
| 503 |
+
{
|
| 504 |
+
"epoch": 0.54,
|
| 505 |
+
"learning_rate": 0.0002641811247357893,
|
| 506 |
+
"loss": 5.282,
|
| 507 |
+
"step": 240
|
| 508 |
+
},
|
| 509 |
+
{
|
| 510 |
+
"epoch": 0.55,
|
| 511 |
+
"learning_rate": 0.00026254531256958934,
|
| 512 |
+
"loss": 4.952,
|
| 513 |
+
"step": 243
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 0.55,
|
| 517 |
+
"learning_rate": 0.0002609395157777161,
|
| 518 |
+
"loss": 5.1267,
|
| 519 |
+
"step": 246
|
| 520 |
+
},
|
| 521 |
+
{
|
| 522 |
+
"epoch": 0.56,
|
| 523 |
+
"learning_rate": 0.00025936282753166636,
|
| 524 |
+
"loss": 5.1316,
|
| 525 |
+
"step": 249
|
| 526 |
+
},
|
| 527 |
+
{
|
| 528 |
+
"epoch": 0.57,
|
| 529 |
+
"learning_rate": 0.0002578143789012823,
|
| 530 |
+
"loss": 4.9848,
|
| 531 |
+
"step": 252
|
| 532 |
+
},
|
| 533 |
+
{
|
| 534 |
+
"epoch": 0.57,
|
| 535 |
+
"learning_rate": 0.00025629333684238444,
|
| 536 |
+
"loss": 4.7754,
|
| 537 |
+
"step": 255
|
| 538 |
+
},
|
| 539 |
+
{
|
| 540 |
+
"epoch": 0.58,
|
| 541 |
+
"learning_rate": 0.0002547989023134814,
|
| 542 |
+
"loss": 5.2225,
|
| 543 |
+
"step": 258
|
| 544 |
+
},
|
| 545 |
+
{
|
| 546 |
+
"epoch": 0.59,
|
| 547 |
+
"learning_rate": 0.0002533303085118872,
|
| 548 |
+
"loss": 5.1217,
|
| 549 |
+
"step": 261
|
| 550 |
+
},
|
| 551 |
+
{
|
| 552 |
+
"epoch": 0.59,
|
| 553 |
+
"learning_rate": 0.0002518868192203985,
|
| 554 |
+
"loss": 4.8745,
|
| 555 |
+
"step": 264
|
| 556 |
+
},
|
| 557 |
+
{
|
| 558 |
+
"epoch": 0.6,
|
| 559 |
+
"learning_rate": 0.0002504677272564347,
|
| 560 |
+
"loss": 5.0165,
|
| 561 |
+
"step": 267
|
| 562 |
+
},
|
| 563 |
+
{
|
| 564 |
+
"epoch": 0.61,
|
| 565 |
+
"learning_rate": 0.00024907235301622105,
|
| 566 |
+
"loss": 5.0835,
|
| 567 |
+
"step": 270
|
| 568 |
+
},
|
| 569 |
+
{
|
| 570 |
+
"epoch": 0.61,
|
| 571 |
+
"learning_rate": 0.0002477000431072053,
|
| 572 |
+
"loss": 5.2976,
|
| 573 |
+
"step": 273
|
| 574 |
+
},
|
| 575 |
+
{
|
| 576 |
+
"epoch": 0.62,
|
| 577 |
+
"learning_rate": 0.0002463501690624576,
|
| 578 |
+
"loss": 4.7942,
|
| 579 |
+
"step": 276
|
| 580 |
+
},
|
| 581 |
+
{
|
| 582 |
+
"epoch": 0.63,
|
| 583 |
+
"learning_rate": 0.0002450221261313084,
|
| 584 |
+
"loss": 5.0896,
|
| 585 |
+
"step": 279
|
| 586 |
+
},
|
| 587 |
+
{
|
| 588 |
+
"epoch": 0.63,
|
| 589 |
+
"learning_rate": 0.00024371533214093726,
|
| 590 |
+
"loss": 5.0112,
|
| 591 |
+
"step": 282
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 0.64,
|
| 595 |
+
"learning_rate": 0.0002424292264240461,
|
| 596 |
+
"loss": 4.9796,
|
| 597 |
+
"step": 285
|
| 598 |
+
},
|
| 599 |
+
{
|
| 600 |
+
"epoch": 0.65,
|
| 601 |
+
"learning_rate": 0.00024116326880812967,
|
| 602 |
+
"loss": 5.1468,
|
| 603 |
+
"step": 288
|
| 604 |
+
},
|
| 605 |
+
{
|
| 606 |
+
"epoch": 0.65,
|
| 607 |
+
"learning_rate": 0.0002399169386622059,
|
| 608 |
+
"loss": 4.7967,
|
| 609 |
+
"step": 291
|
| 610 |
+
},
|
| 611 |
+
{
|
| 612 |
+
"epoch": 0.66,
|
| 613 |
+
"learning_rate": 0.00023868973399718358,
|
| 614 |
+
"loss": 4.973,
|
| 615 |
+
"step": 294
|
| 616 |
+
},
|
| 617 |
+
{
|
| 618 |
+
"epoch": 0.67,
|
| 619 |
+
"learning_rate": 0.00023748117061633836,
|
| 620 |
+
"loss": 5.1543,
|
| 621 |
+
"step": 297
|
| 622 |
+
},
|
| 623 |
+
{
|
| 624 |
+
"epoch": 0.67,
|
| 625 |
+
"learning_rate": 0.00023629078131263043,
|
| 626 |
+
"loss": 4.8465,
|
| 627 |
+
"step": 300
|
| 628 |
+
},
|
| 629 |
+
{
|
| 630 |
+
"epoch": 0.67,
|
| 631 |
+
"eval_accuracy": 0.333695163654128,
|
| 632 |
+
"eval_loss": 4.60669469833374,
|
| 633 |
+
"eval_runtime": 15.1591,
|
| 634 |
+
"eval_samples_per_second": 32.984,
|
| 635 |
+
"eval_steps_per_second": 16.492,
|
| 636 |
+
"step": 300
|
| 637 |
+
},
|
| 638 |
+
{
|
| 639 |
+
"epoch": 0.68,
|
| 640 |
+
"learning_rate": 0.0002351181151098428,
|
| 641 |
+
"loss": 4.8838,
|
| 642 |
+
"step": 303
|
| 643 |
+
},
|
| 644 |
+
{
|
| 645 |
+
"epoch": 0.69,
|
| 646 |
+
"learning_rate": 0.00023396273654473972,
|
| 647 |
+
"loss": 4.8887,
|
| 648 |
+
"step": 306
|
| 649 |
+
},
|
| 650 |
+
{
|
| 651 |
+
"epoch": 0.69,
|
| 652 |
+
"learning_rate": 0.00023282422498765095,
|
| 653 |
+
"loss": 4.9501,
|
| 654 |
+
"step": 309
|
| 655 |
+
},
|
| 656 |
+
{
|
| 657 |
+
"epoch": 0.7,
|
| 658 |
+
"learning_rate": 0.0002317021739990746,
|
| 659 |
+
"loss": 4.7838,
|
| 660 |
+
"step": 312
|
| 661 |
+
},
|
| 662 |
+
{
|
| 663 |
+
"epoch": 0.71,
|
| 664 |
+
"learning_rate": 0.00023059619072006193,
|
| 665 |
+
"loss": 4.9579,
|
| 666 |
+
"step": 315
|
| 667 |
+
},
|
| 668 |
+
{
|
| 669 |
+
"epoch": 0.71,
|
| 670 |
+
"learning_rate": 0.00022950589529430995,
|
| 671 |
+
"loss": 4.8143,
|
| 672 |
+
"step": 318
|
| 673 |
+
},
|
| 674 |
+
{
|
| 675 |
+
"epoch": 0.72,
|
| 676 |
+
"learning_rate": 0.00022843092032002904,
|
| 677 |
+
"loss": 4.8685,
|
| 678 |
+
"step": 321
|
| 679 |
+
},
|
| 680 |
+
{
|
| 681 |
+
"epoch": 0.73,
|
| 682 |
+
"learning_rate": 0.00022737091032979027,
|
| 683 |
+
"loss": 4.782,
|
| 684 |
+
"step": 324
|
| 685 |
+
},
|
| 686 |
+
{
|
| 687 |
+
"epoch": 0.73,
|
| 688 |
+
"learning_rate": 0.00022632552129668023,
|
| 689 |
+
"loss": 4.9198,
|
| 690 |
+
"step": 327
|
| 691 |
+
},
|
| 692 |
+
{
|
| 693 |
+
"epoch": 0.74,
|
| 694 |
+
"learning_rate": 0.00022529442016520462,
|
| 695 |
+
"loss": 5.005,
|
| 696 |
+
"step": 330
|
| 697 |
+
},
|
| 698 |
+
{
|
| 699 |
+
"epoch": 0.75,
|
| 700 |
+
"learning_rate": 0.00022427728440548833,
|
| 701 |
+
"loss": 4.9693,
|
| 702 |
+
"step": 333
|
| 703 |
+
},
|
| 704 |
+
{
|
| 705 |
+
"epoch": 0.75,
|
| 706 |
+
"learning_rate": 0.00022327380158941728,
|
| 707 |
+
"loss": 4.9218,
|
| 708 |
+
"step": 336
|
| 709 |
+
},
|
| 710 |
+
{
|
| 711 |
+
"epoch": 0.76,
|
| 712 |
+
"learning_rate": 0.00022228366898745637,
|
| 713 |
+
"loss": 4.9192,
|
| 714 |
+
"step": 339
|
| 715 |
+
},
|
| 716 |
+
{
|
| 717 |
+
"epoch": 0.77,
|
| 718 |
+
"learning_rate": 0.00022130659318496252,
|
| 719 |
+
"loss": 4.8076,
|
| 720 |
+
"step": 342
|
| 721 |
+
},
|
| 722 |
+
{
|
| 723 |
+
"epoch": 0.78,
|
| 724 |
+
"learning_rate": 0.00022034228971688836,
|
| 725 |
+
"loss": 4.7961,
|
| 726 |
+
"step": 345
|
| 727 |
+
},
|
| 728 |
+
{
|
| 729 |
+
"epoch": 0.78,
|
| 730 |
+
"learning_rate": 0.0002193904827198436,
|
| 731 |
+
"loss": 4.5936,
|
| 732 |
+
"step": 348
|
| 733 |
+
},
|
| 734 |
+
{
|
| 735 |
+
"epoch": 0.79,
|
| 736 |
+
"learning_rate": 0.00021845090460054803,
|
| 737 |
+
"loss": 4.8138,
|
| 738 |
+
"step": 351
|
| 739 |
+
},
|
| 740 |
+
{
|
| 741 |
+
"epoch": 0.8,
|
| 742 |
+
"learning_rate": 0.00021752329571977103,
|
| 743 |
+
"loss": 4.7873,
|
| 744 |
+
"step": 354
|
| 745 |
+
},
|
| 746 |
+
{
|
| 747 |
+
"epoch": 0.8,
|
| 748 |
+
"learning_rate": 0.00021660740409091007,
|
| 749 |
+
"loss": 4.8076,
|
| 750 |
+
"step": 357
|
| 751 |
+
},
|
| 752 |
+
{
|
| 753 |
+
"epoch": 0.81,
|
| 754 |
+
"learning_rate": 0.0002157029850924131,
|
| 755 |
+
"loss": 4.6999,
|
| 756 |
+
"step": 360
|
| 757 |
+
},
|
| 758 |
+
{
|
| 759 |
+
"epoch": 0.82,
|
| 760 |
+
"learning_rate": 0.00021480980119330037,
|
| 761 |
+
"loss": 4.8198,
|
| 762 |
+
"step": 363
|
| 763 |
+
},
|
| 764 |
+
{
|
| 765 |
+
"epoch": 0.82,
|
| 766 |
+
"learning_rate": 0.00021392762169108589,
|
| 767 |
+
"loss": 4.7778,
|
| 768 |
+
"step": 366
|
| 769 |
+
},
|
| 770 |
+
{
|
| 771 |
+
"epoch": 0.83,
|
| 772 |
+
"learning_rate": 0.0002130562224614416,
|
| 773 |
+
"loss": 4.8642,
|
| 774 |
+
"step": 369
|
| 775 |
+
},
|
| 776 |
+
{
|
| 777 |
+
"epoch": 0.84,
|
| 778 |
+
"learning_rate": 0.00021219538571898804,
|
| 779 |
+
"loss": 4.934,
|
| 780 |
+
"step": 372
|
| 781 |
+
},
|
| 782 |
+
{
|
| 783 |
+
"epoch": 0.84,
|
| 784 |
+
"learning_rate": 0.00021134489978863144,
|
| 785 |
+
"loss": 4.777,
|
| 786 |
+
"step": 375
|
| 787 |
+
},
|
| 788 |
+
{
|
| 789 |
+
"epoch": 0.85,
|
| 790 |
+
"learning_rate": 0.0002105045588869023,
|
| 791 |
+
"loss": 4.7246,
|
| 792 |
+
"step": 378
|
| 793 |
+
},
|
| 794 |
+
{
|
| 795 |
+
"epoch": 0.86,
|
| 796 |
+
"learning_rate": 0.00020967416291278203,
|
| 797 |
+
"loss": 4.6483,
|
| 798 |
+
"step": 381
|
| 799 |
+
},
|
| 800 |
+
{
|
| 801 |
+
"epoch": 0.86,
|
| 802 |
+
"learning_rate": 0.00020885351724753563,
|
| 803 |
+
"loss": 4.688,
|
| 804 |
+
"step": 384
|
| 805 |
+
},
|
| 806 |
+
{
|
| 807 |
+
"epoch": 0.87,
|
| 808 |
+
"learning_rate": 0.00020804243256309523,
|
| 809 |
+
"loss": 4.7668,
|
| 810 |
+
"step": 387
|
| 811 |
+
},
|
| 812 |
+
{
|
| 813 |
+
"epoch": 0.88,
|
| 814 |
+
"learning_rate": 0.00020724072463856603,
|
| 815 |
+
"loss": 4.7151,
|
| 816 |
+
"step": 390
|
| 817 |
+
},
|
| 818 |
+
{
|
| 819 |
+
"epoch": 0.88,
|
| 820 |
+
"learning_rate": 0.00020644821418445137,
|
| 821 |
+
"loss": 4.5894,
|
| 822 |
+
"step": 393
|
| 823 |
+
},
|
| 824 |
+
{
|
| 825 |
+
"epoch": 0.89,
|
| 826 |
+
"learning_rate": 0.00020566472667421558,
|
| 827 |
+
"loss": 4.8375,
|
| 828 |
+
"step": 396
|
| 829 |
+
},
|
| 830 |
+
{
|
| 831 |
+
"epoch": 0.9,
|
| 832 |
+
"learning_rate": 0.00020489009218282547,
|
| 833 |
+
"loss": 4.7991,
|
| 834 |
+
"step": 399
|
| 835 |
+
},
|
| 836 |
+
{
|
| 837 |
+
"epoch": 0.9,
|
| 838 |
+
"eval_accuracy": 0.35269369809477286,
|
| 839 |
+
"eval_loss": 4.39344596862793,
|
| 840 |
+
"eval_runtime": 15.1249,
|
| 841 |
+
"eval_samples_per_second": 33.058,
|
| 842 |
+
"eval_steps_per_second": 16.529,
|
| 843 |
+
"step": 400
|
| 844 |
+
},
|
| 845 |
+
{
|
| 846 |
+
"epoch": 0.9,
|
| 847 |
+
"learning_rate": 0.00020412414523193154,
|
| 848 |
+
"loss": 4.857,
|
| 849 |
+
"step": 402
|
| 850 |
+
},
|
| 851 |
+
{
|
| 852 |
+
"epoch": 0.91,
|
| 853 |
+
"learning_rate": 0.00020336672464136806,
|
| 854 |
+
"loss": 4.9338,
|
| 855 |
+
"step": 405
|
| 856 |
+
},
|
| 857 |
+
{
|
| 858 |
+
"epoch": 0.92,
|
| 859 |
+
"learning_rate": 0.00020261767338667041,
|
| 860 |
+
"loss": 4.6781,
|
| 861 |
+
"step": 408
|
| 862 |
+
},
|
| 863 |
+
{
|
| 864 |
+
"epoch": 0.92,
|
| 865 |
+
"learning_rate": 0.00020187683846232233,
|
| 866 |
+
"loss": 4.7474,
|
| 867 |
+
"step": 411
|
| 868 |
+
},
|
| 869 |
+
{
|
| 870 |
+
"epoch": 0.93,
|
| 871 |
+
"learning_rate": 0.00020114407075046392,
|
| 872 |
+
"loss": 4.7408,
|
| 873 |
+
"step": 414
|
| 874 |
+
},
|
| 875 |
+
{
|
| 876 |
+
"epoch": 0.94,
|
| 877 |
+
"learning_rate": 0.00020041922489480405,
|
| 878 |
+
"loss": 4.8301,
|
| 879 |
+
"step": 417
|
| 880 |
+
},
|
| 881 |
+
{
|
| 882 |
+
"epoch": 0.94,
|
| 883 |
+
"learning_rate": 0.00019970215917949506,
|
| 884 |
+
"loss": 4.5838,
|
| 885 |
+
"step": 420
|
| 886 |
+
},
|
| 887 |
+
{
|
| 888 |
+
"epoch": 0.95,
|
| 889 |
+
"learning_rate": 0.00019899273541274044,
|
| 890 |
+
"loss": 4.6515,
|
| 891 |
+
"step": 423
|
| 892 |
+
},
|
| 893 |
+
{
|
| 894 |
+
"epoch": 0.96,
|
| 895 |
+
"learning_rate": 0.0001982908188149191,
|
| 896 |
+
"loss": 4.7319,
|
| 897 |
+
"step": 426
|
| 898 |
+
},
|
| 899 |
+
{
|
| 900 |
+
"epoch": 0.96,
|
| 901 |
+
"learning_rate": 0.00019759627791102,
|
| 902 |
+
"loss": 4.6515,
|
| 903 |
+
"step": 429
|
| 904 |
+
},
|
| 905 |
+
{
|
| 906 |
+
"epoch": 0.97,
|
| 907 |
+
"learning_rate": 0.000196908984427192,
|
| 908 |
+
"loss": 4.7311,
|
| 909 |
+
"step": 432
|
| 910 |
+
},
|
| 911 |
+
{
|
| 912 |
+
"epoch": 0.98,
|
| 913 |
+
"learning_rate": 0.00019622881319122527,
|
| 914 |
+
"loss": 4.6038,
|
| 915 |
+
"step": 435
|
| 916 |
+
},
|
| 917 |
+
{
|
| 918 |
+
"epoch": 0.98,
|
| 919 |
+
"learning_rate": 0.00019555564203678732,
|
| 920 |
+
"loss": 4.7496,
|
| 921 |
+
"step": 438
|
| 922 |
+
},
|
| 923 |
+
{
|
| 924 |
+
"epoch": 0.99,
|
| 925 |
+
"learning_rate": 0.0001948893517112488,
|
| 926 |
+
"loss": 4.6959,
|
| 927 |
+
"step": 441
|
| 928 |
+
},
|
| 929 |
+
{
|
| 930 |
+
"epoch": 1.0,
|
| 931 |
+
"learning_rate": 0.00019422982578694043,
|
| 932 |
+
"loss": 4.5849,
|
| 933 |
+
"step": 444
|
| 934 |
+
},
|
| 935 |
+
{
|
| 936 |
+
"epoch": 1.0,
|
| 937 |
+
"learning_rate": 0.00019357695057569082,
|
| 938 |
+
"loss": 4.655,
|
| 939 |
+
"step": 447
|
| 940 |
+
},
|
| 941 |
+
{
|
| 942 |
+
"epoch": 1.01,
|
| 943 |
+
"learning_rate": 0.00019293061504650376,
|
| 944 |
+
"loss": 4.7408,
|
| 945 |
+
"step": 450
|
| 946 |
+
},
|
| 947 |
+
{
|
| 948 |
+
"epoch": 1.02,
|
| 949 |
+
"learning_rate": 0.00019229071074623857,
|
| 950 |
+
"loss": 4.7902,
|
| 951 |
+
"step": 453
|
| 952 |
+
},
|
| 953 |
+
{
|
| 954 |
+
"epoch": 1.02,
|
| 955 |
+
"learning_rate": 0.00019165713172316568,
|
| 956 |
+
"loss": 4.6149,
|
| 957 |
+
"step": 456
|
| 958 |
+
},
|
| 959 |
+
{
|
| 960 |
+
"epoch": 1.03,
|
| 961 |
+
"learning_rate": 0.0001910297744532743,
|
| 962 |
+
"loss": 4.6644,
|
| 963 |
+
"step": 459
|
| 964 |
+
},
|
| 965 |
+
{
|
| 966 |
+
"epoch": 1.04,
|
| 967 |
+
"learning_rate": 0.00019040853776921678,
|
| 968 |
+
"loss": 4.613,
|
| 969 |
+
"step": 462
|
| 970 |
+
},
|
| 971 |
+
{
|
| 972 |
+
"epoch": 1.04,
|
| 973 |
+
"learning_rate": 0.00018979332279177815,
|
| 974 |
+
"loss": 4.542,
|
| 975 |
+
"step": 465
|
| 976 |
+
},
|
| 977 |
+
{
|
| 978 |
+
"epoch": 1.05,
|
| 979 |
+
"learning_rate": 0.00018918403286376548,
|
| 980 |
+
"loss": 4.7666,
|
| 981 |
+
"step": 468
|
| 982 |
+
},
|
| 983 |
+
{
|
| 984 |
+
"epoch": 1.06,
|
| 985 |
+
"learning_rate": 0.00018858057348621743,
|
| 986 |
+
"loss": 4.6471,
|
| 987 |
+
"step": 471
|
| 988 |
+
},
|
| 989 |
+
{
|
| 990 |
+
"epoch": 1.06,
|
| 991 |
+
"learning_rate": 0.0001879828522568376,
|
| 992 |
+
"loss": 4.5803,
|
| 993 |
+
"step": 474
|
| 994 |
+
},
|
| 995 |
+
{
|
| 996 |
+
"epoch": 1.07,
|
| 997 |
+
"learning_rate": 0.00018739077881056078,
|
| 998 |
+
"loss": 4.5415,
|
| 999 |
+
"step": 477
|
| 1000 |
+
},
|
| 1001 |
+
{
|
| 1002 |
+
"epoch": 1.08,
|
| 1003 |
+
"learning_rate": 0.0001868042647621658,
|
| 1004 |
+
"loss": 4.5641,
|
| 1005 |
+
"step": 480
|
| 1006 |
+
},
|
| 1007 |
+
{
|
| 1008 |
+
"epoch": 1.09,
|
| 1009 |
+
"learning_rate": 0.00018622322365085167,
|
| 1010 |
+
"loss": 4.6407,
|
| 1011 |
+
"step": 483
|
| 1012 |
+
},
|
| 1013 |
+
{
|
| 1014 |
+
"epoch": 1.09,
|
| 1015 |
+
"learning_rate": 0.00018564757088669834,
|
| 1016 |
+
"loss": 4.7945,
|
| 1017 |
+
"step": 486
|
| 1018 |
+
},
|
| 1019 |
+
{
|
| 1020 |
+
"epoch": 1.1,
|
| 1021 |
+
"learning_rate": 0.00018507722369893691,
|
| 1022 |
+
"loss": 4.4922,
|
| 1023 |
+
"step": 489
|
| 1024 |
+
},
|
| 1025 |
+
{
|
| 1026 |
+
"epoch": 1.11,
|
| 1027 |
+
"learning_rate": 0.00018451210108595716,
|
| 1028 |
+
"loss": 4.4105,
|
| 1029 |
+
"step": 492
|
| 1030 |
+
},
|
| 1031 |
+
{
|
| 1032 |
+
"epoch": 1.11,
|
| 1033 |
+
"learning_rate": 0.0001839521237669841,
|
| 1034 |
+
"loss": 4.5781,
|
| 1035 |
+
"step": 495
|
| 1036 |
+
},
|
| 1037 |
+
{
|
| 1038 |
+
"epoch": 1.12,
|
| 1039 |
+
"learning_rate": 0.00018339721413535823,
|
| 1040 |
+
"loss": 4.2787,
|
| 1041 |
+
"step": 498
|
| 1042 |
+
},
|
| 1043 |
+
{
|
| 1044 |
+
"epoch": 1.12,
|
| 1045 |
+
"eval_accuracy": 0.36416707376648755,
|
| 1046 |
+
"eval_loss": 4.238906383514404,
|
| 1047 |
+
"eval_runtime": 15.1858,
|
| 1048 |
+
"eval_samples_per_second": 32.925,
|
| 1049 |
+
"eval_steps_per_second": 16.463,
|
| 1050 |
+
"step": 500
|
| 1051 |
+
},
|
| 1052 |
+
{
|
| 1053 |
+
"epoch": 1.13,
|
| 1054 |
+
"learning_rate": 0.0001828472962133565,
|
| 1055 |
+
"loss": 4.4456,
|
| 1056 |
+
"step": 501
|
| 1057 |
+
},
|
| 1058 |
+
{
|
| 1059 |
+
"epoch": 1.13,
|
| 1060 |
+
"learning_rate": 0.0001823022956084947,
|
| 1061 |
+
"loss": 4.5287,
|
| 1062 |
+
"step": 504
|
| 1063 |
+
},
|
| 1064 |
+
{
|
| 1065 |
+
"epoch": 1.14,
|
| 1066 |
+
"learning_rate": 0.00018176213947125418,
|
| 1067 |
+
"loss": 4.5194,
|
| 1068 |
+
"step": 507
|
| 1069 |
+
},
|
| 1070 |
+
{
|
| 1071 |
+
"epoch": 1.15,
|
| 1072 |
+
"learning_rate": 0.00018122675645417804,
|
| 1073 |
+
"loss": 4.4069,
|
| 1074 |
+
"step": 510
|
| 1075 |
+
},
|
| 1076 |
+
{
|
| 1077 |
+
"epoch": 1.15,
|
| 1078 |
+
"learning_rate": 0.0001806960766722851,
|
| 1079 |
+
"loss": 4.6053,
|
| 1080 |
+
"step": 513
|
| 1081 |
+
},
|
| 1082 |
+
{
|
| 1083 |
+
"epoch": 1.16,
|
| 1084 |
+
"learning_rate": 0.0001801700316647514,
|
| 1085 |
+
"loss": 4.4653,
|
| 1086 |
+
"step": 516
|
| 1087 |
+
},
|
| 1088 |
+
{
|
| 1089 |
+
"epoch": 1.17,
|
| 1090 |
+
"learning_rate": 0.00017964855435781174,
|
| 1091 |
+
"loss": 4.3869,
|
| 1092 |
+
"step": 519
|
| 1093 |
+
},
|
| 1094 |
+
{
|
| 1095 |
+
"epoch": 1.17,
|
| 1096 |
+
"learning_rate": 0.0001791315790288356,
|
| 1097 |
+
"loss": 4.5346,
|
| 1098 |
+
"step": 522
|
| 1099 |
+
},
|
| 1100 |
+
{
|
| 1101 |
+
"epoch": 1.18,
|
| 1102 |
+
"learning_rate": 0.00017861904127153383,
|
| 1103 |
+
"loss": 4.3397,
|
| 1104 |
+
"step": 525
|
| 1105 |
+
},
|
| 1106 |
+
{
|
| 1107 |
+
"epoch": 1.19,
|
| 1108 |
+
"learning_rate": 0.00017811087796225377,
|
| 1109 |
+
"loss": 4.4981,
|
| 1110 |
+
"step": 528
|
| 1111 |
+
},
|
| 1112 |
+
{
|
| 1113 |
+
"epoch": 1.19,
|
| 1114 |
+
"learning_rate": 0.00017760702722732373,
|
| 1115 |
+
"loss": 4.4315,
|
| 1116 |
+
"step": 531
|
| 1117 |
+
},
|
| 1118 |
+
{
|
| 1119 |
+
"epoch": 1.2,
|
| 1120 |
+
"learning_rate": 0.0001771074284114076,
|
| 1121 |
+
"loss": 4.4401,
|
| 1122 |
+
"step": 534
|
| 1123 |
+
},
|
| 1124 |
+
{
|
| 1125 |
+
"epoch": 1.21,
|
| 1126 |
+
"learning_rate": 0.00017661202204683334,
|
| 1127 |
+
"loss": 4.2521,
|
| 1128 |
+
"step": 537
|
| 1129 |
+
},
|
| 1130 |
+
{
|
| 1131 |
+
"epoch": 1.21,
|
| 1132 |
+
"learning_rate": 0.00017612074982385957,
|
| 1133 |
+
"loss": 4.663,
|
| 1134 |
+
"step": 540
|
| 1135 |
+
},
|
| 1136 |
+
{
|
| 1137 |
+
"epoch": 1.22,
|
| 1138 |
+
"learning_rate": 0.00017563355456184752,
|
| 1139 |
+
"loss": 4.5429,
|
| 1140 |
+
"step": 543
|
| 1141 |
+
},
|
| 1142 |
+
{
|
| 1143 |
+
"epoch": 1.23,
|
| 1144 |
+
"learning_rate": 0.00017515038018130498,
|
| 1145 |
+
"loss": 4.6201,
|
| 1146 |
+
"step": 546
|
| 1147 |
+
},
|
| 1148 |
+
{
|
| 1149 |
+
"epoch": 1.23,
|
| 1150 |
+
"learning_rate": 0.00017467117167677167,
|
| 1151 |
+
"loss": 4.5178,
|
| 1152 |
+
"step": 549
|
| 1153 |
+
},
|
| 1154 |
+
{
|
| 1155 |
+
"epoch": 1.24,
|
| 1156 |
+
"learning_rate": 0.0001741958750905162,
|
| 1157 |
+
"loss": 4.4457,
|
| 1158 |
+
"step": 552
|
| 1159 |
+
},
|
| 1160 |
+
{
|
| 1161 |
+
"epoch": 1.25,
|
| 1162 |
+
"learning_rate": 0.00017372443748701614,
|
| 1163 |
+
"loss": 4.4784,
|
| 1164 |
+
"step": 555
|
| 1165 |
+
},
|
| 1166 |
+
{
|
| 1167 |
+
"epoch": 1.25,
|
| 1168 |
+
"learning_rate": 0.00017325680692819372,
|
| 1169 |
+
"loss": 4.6209,
|
| 1170 |
+
"step": 558
|
| 1171 |
+
},
|
| 1172 |
+
{
|
| 1173 |
+
"epoch": 1.26,
|
| 1174 |
+
"learning_rate": 0.00017279293244938095,
|
| 1175 |
+
"loss": 4.4459,
|
| 1176 |
+
"step": 561
|
| 1177 |
+
},
|
| 1178 |
+
{
|
| 1179 |
+
"epoch": 1.27,
|
| 1180 |
+
"learning_rate": 0.0001723327640359885,
|
| 1181 |
+
"loss": 4.4116,
|
| 1182 |
+
"step": 564
|
| 1183 |
+
},
|
| 1184 |
+
{
|
| 1185 |
+
"epoch": 1.27,
|
| 1186 |
+
"learning_rate": 0.0001718762526008549,
|
| 1187 |
+
"loss": 4.414,
|
| 1188 |
+
"step": 567
|
| 1189 |
+
},
|
| 1190 |
+
{
|
| 1191 |
+
"epoch": 1.28,
|
| 1192 |
+
"learning_rate": 0.00017142334996225191,
|
| 1193 |
+
"loss": 4.6379,
|
| 1194 |
+
"step": 570
|
| 1195 |
+
},
|
| 1196 |
+
{
|
| 1197 |
+
"epoch": 1.29,
|
| 1198 |
+
"learning_rate": 0.00017097400882252448,
|
| 1199 |
+
"loss": 4.4434,
|
| 1200 |
+
"step": 573
|
| 1201 |
+
},
|
| 1202 |
+
{
|
| 1203 |
+
"epoch": 1.29,
|
| 1204 |
+
"learning_rate": 0.0001705281827473427,
|
| 1205 |
+
"loss": 4.3952,
|
| 1206 |
+
"step": 576
|
| 1207 |
+
},
|
| 1208 |
+
{
|
| 1209 |
+
"epoch": 1.3,
|
| 1210 |
+
"learning_rate": 0.00017008582614554666,
|
| 1211 |
+
"loss": 4.2903,
|
| 1212 |
+
"step": 579
|
| 1213 |
+
},
|
| 1214 |
+
{
|
| 1215 |
+
"epoch": 1.31,
|
| 1216 |
+
"learning_rate": 0.0001696468942495628,
|
| 1217 |
+
"loss": 4.5144,
|
| 1218 |
+
"step": 582
|
| 1219 |
+
},
|
| 1220 |
+
{
|
| 1221 |
+
"epoch": 1.31,
|
| 1222 |
+
"learning_rate": 0.0001692113430963735,
|
| 1223 |
+
"loss": 4.3821,
|
| 1224 |
+
"step": 585
|
| 1225 |
+
},
|
| 1226 |
+
{
|
| 1227 |
+
"epoch": 1.32,
|
| 1228 |
+
"learning_rate": 0.00016877912950902176,
|
| 1229 |
+
"loss": 4.5597,
|
| 1230 |
+
"step": 588
|
| 1231 |
+
},
|
| 1232 |
+
{
|
| 1233 |
+
"epoch": 1.33,
|
| 1234 |
+
"learning_rate": 0.00016835021107863206,
|
| 1235 |
+
"loss": 4.4296,
|
| 1236 |
+
"step": 591
|
| 1237 |
+
},
|
| 1238 |
+
{
|
| 1239 |
+
"epoch": 1.33,
|
| 1240 |
+
"learning_rate": 0.00016792454614693233,
|
| 1241 |
+
"loss": 4.2632,
|
| 1242 |
+
"step": 594
|
| 1243 |
+
},
|
| 1244 |
+
{
|
| 1245 |
+
"epoch": 1.34,
|
| 1246 |
+
"learning_rate": 0.00016750209378925862,
|
| 1247 |
+
"loss": 4.2681,
|
| 1248 |
+
"step": 597
|
| 1249 |
+
},
|
| 1250 |
+
{
|
| 1251 |
+
"epoch": 1.35,
|
| 1252 |
+
"learning_rate": 0.00016708281379802854,
|
| 1253 |
+
"loss": 4.4893,
|
| 1254 |
+
"step": 600
|
| 1255 |
+
},
|
| 1256 |
+
{
|
| 1257 |
+
"epoch": 1.35,
|
| 1258 |
+
"eval_accuracy": 0.3719882755251588,
|
| 1259 |
+
"eval_loss": 4.1261677742004395,
|
| 1260 |
+
"eval_runtime": 15.1896,
|
| 1261 |
+
"eval_samples_per_second": 32.917,
|
| 1262 |
+
"eval_steps_per_second": 16.459,
|
| 1263 |
+
"step": 600
|
| 1264 |
+
},
|
| 1265 |
+
{
|
| 1266 |
+
"epoch": 1.35,
|
| 1267 |
+
"learning_rate": 0.00016666666666666666,
|
| 1268 |
+
"loss": 4.4189,
|
| 1269 |
+
"step": 603
|
| 1270 |
+
},
|
| 1271 |
+
{
|
| 1272 |
+
"epoch": 1.36,
|
| 1273 |
+
"learning_rate": 0.00016625361357396908,
|
| 1274 |
+
"loss": 4.3687,
|
| 1275 |
+
"step": 606
|
| 1276 |
+
},
|
| 1277 |
+
{
|
| 1278 |
+
"epoch": 1.37,
|
| 1279 |
+
"learning_rate": 0.0001658436163688913,
|
| 1280 |
+
"loss": 4.5189,
|
| 1281 |
+
"step": 609
|
| 1282 |
+
},
|
| 1283 |
+
{
|
| 1284 |
+
"epoch": 1.37,
|
| 1285 |
+
"learning_rate": 0.0001654366375557471,
|
| 1286 |
+
"loss": 4.3339,
|
| 1287 |
+
"step": 612
|
| 1288 |
+
},
|
| 1289 |
+
{
|
| 1290 |
+
"epoch": 1.38,
|
| 1291 |
+
"learning_rate": 0.00016503264027980518,
|
| 1292 |
+
"loss": 4.3293,
|
| 1293 |
+
"step": 615
|
| 1294 |
+
},
|
| 1295 |
+
{
|
| 1296 |
+
"epoch": 1.39,
|
| 1297 |
+
"learning_rate": 0.00016463158831327043,
|
| 1298 |
+
"loss": 4.4765,
|
| 1299 |
+
"step": 618
|
| 1300 |
+
},
|
| 1301 |
+
{
|
| 1302 |
+
"epoch": 1.4,
|
| 1303 |
+
"learning_rate": 0.00016423344604163842,
|
| 1304 |
+
"loss": 4.4114,
|
| 1305 |
+
"step": 621
|
| 1306 |
+
},
|
| 1307 |
+
{
|
| 1308 |
+
"epoch": 1.4,
|
| 1309 |
+
"learning_rate": 0.000163838178450411,
|
| 1310 |
+
"loss": 4.4124,
|
| 1311 |
+
"step": 624
|
| 1312 |
+
},
|
| 1313 |
+
{
|
| 1314 |
+
"epoch": 1.41,
|
| 1315 |
+
"learning_rate": 0.00016344575111216204,
|
| 1316 |
+
"loss": 4.4381,
|
| 1317 |
+
"step": 627
|
| 1318 |
+
},
|
| 1319 |
+
{
|
| 1320 |
+
"epoch": 1.42,
|
| 1321 |
+
"learning_rate": 0.00016305613017394223,
|
| 1322 |
+
"loss": 4.3048,
|
| 1323 |
+
"step": 630
|
| 1324 |
+
},
|
| 1325 |
+
{
|
| 1326 |
+
"epoch": 1.42,
|
| 1327 |
+
"learning_rate": 0.0001626692823450125,
|
| 1328 |
+
"loss": 4.4025,
|
| 1329 |
+
"step": 633
|
| 1330 |
+
},
|
| 1331 |
+
{
|
| 1332 |
+
"epoch": 1.43,
|
| 1333 |
+
"learning_rate": 0.00016228517488489633,
|
| 1334 |
+
"loss": 4.4779,
|
| 1335 |
+
"step": 636
|
| 1336 |
+
},
|
| 1337 |
+
{
|
| 1338 |
+
"epoch": 1.44,
|
| 1339 |
+
"learning_rate": 0.00016190377559174065,
|
| 1340 |
+
"loss": 4.3395,
|
| 1341 |
+
"step": 639
|
| 1342 |
+
},
|
| 1343 |
+
{
|
| 1344 |
+
"epoch": 1.44,
|
| 1345 |
+
"learning_rate": 0.00016152505279097643,
|
| 1346 |
+
"loss": 4.4437,
|
| 1347 |
+
"step": 642
|
| 1348 |
+
},
|
| 1349 |
+
{
|
| 1350 |
+
"epoch": 1.45,
|
| 1351 |
+
"learning_rate": 0.00016114897532426946,
|
| 1352 |
+
"loss": 4.4231,
|
| 1353 |
+
"step": 645
|
| 1354 |
+
},
|
| 1355 |
+
{
|
| 1356 |
+
"epoch": 1.46,
|
| 1357 |
+
"learning_rate": 0.00016077551253875313,
|
| 1358 |
+
"loss": 4.284,
|
| 1359 |
+
"step": 648
|
| 1360 |
+
},
|
| 1361 |
+
{
|
| 1362 |
+
"epoch": 1.46,
|
| 1363 |
+
"learning_rate": 0.00016040463427653402,
|
| 1364 |
+
"loss": 4.2703,
|
| 1365 |
+
"step": 651
|
| 1366 |
+
},
|
| 1367 |
+
{
|
| 1368 |
+
"epoch": 1.47,
|
| 1369 |
+
"learning_rate": 0.00016003631086446298,
|
| 1370 |
+
"loss": 4.5442,
|
| 1371 |
+
"step": 654
|
| 1372 |
+
},
|
| 1373 |
+
{
|
| 1374 |
+
"epoch": 1.48,
|
| 1375 |
+
"learning_rate": 0.00015967051310416313,
|
| 1376 |
+
"loss": 4.4264,
|
| 1377 |
+
"step": 657
|
| 1378 |
+
},
|
| 1379 |
+
{
|
| 1380 |
+
"epoch": 1.48,
|
| 1381 |
+
"learning_rate": 0.00015930721226230747,
|
| 1382 |
+
"loss": 4.4124,
|
| 1383 |
+
"step": 660
|
| 1384 |
+
},
|
| 1385 |
+
{
|
| 1386 |
+
"epoch": 1.49,
|
| 1387 |
+
"learning_rate": 0.00015894638006113876,
|
| 1388 |
+
"loss": 4.2462,
|
| 1389 |
+
"step": 663
|
| 1390 |
+
},
|
| 1391 |
+
{
|
| 1392 |
+
"epoch": 1.5,
|
| 1393 |
+
"learning_rate": 0.0001585879886692247,
|
| 1394 |
+
"loss": 4.4239,
|
| 1395 |
+
"step": 666
|
| 1396 |
+
},
|
| 1397 |
+
{
|
| 1398 |
+
"epoch": 1.5,
|
| 1399 |
+
"learning_rate": 0.00015823201069244109,
|
| 1400 |
+
"loss": 4.3737,
|
| 1401 |
+
"step": 669
|
| 1402 |
+
},
|
| 1403 |
+
{
|
| 1404 |
+
"epoch": 1.51,
|
| 1405 |
+
"learning_rate": 0.00015787841916517674,
|
| 1406 |
+
"loss": 4.3488,
|
| 1407 |
+
"step": 672
|
| 1408 |
+
},
|
| 1409 |
+
{
|
| 1410 |
+
"epoch": 1.52,
|
| 1411 |
+
"learning_rate": 0.00015752718754175364,
|
| 1412 |
+
"loss": 4.3232,
|
| 1413 |
+
"step": 675
|
| 1414 |
+
},
|
| 1415 |
+
{
|
| 1416 |
+
"epoch": 1.52,
|
| 1417 |
+
"learning_rate": 0.0001571782896880563,
|
| 1418 |
+
"loss": 4.3468,
|
| 1419 |
+
"step": 678
|
| 1420 |
+
},
|
| 1421 |
+
{
|
| 1422 |
+
"epoch": 1.53,
|
| 1423 |
+
"learning_rate": 0.00015683169987336384,
|
| 1424 |
+
"loss": 4.2461,
|
| 1425 |
+
"step": 681
|
| 1426 |
+
},
|
| 1427 |
+
{
|
| 1428 |
+
"epoch": 1.54,
|
| 1429 |
+
"learning_rate": 0.00015648739276237958,
|
| 1430 |
+
"loss": 4.3453,
|
| 1431 |
+
"step": 684
|
| 1432 |
+
},
|
| 1433 |
+
{
|
| 1434 |
+
"epoch": 1.54,
|
| 1435 |
+
"learning_rate": 0.00015614534340745214,
|
| 1436 |
+
"loss": 4.3133,
|
| 1437 |
+
"step": 687
|
| 1438 |
+
},
|
| 1439 |
+
{
|
| 1440 |
+
"epoch": 1.55,
|
| 1441 |
+
"learning_rate": 0.00015580552724098266,
|
| 1442 |
+
"loss": 4.4003,
|
| 1443 |
+
"step": 690
|
| 1444 |
+
},
|
| 1445 |
+
{
|
| 1446 |
+
"epoch": 1.56,
|
| 1447 |
+
"learning_rate": 0.0001554679200680133,
|
| 1448 |
+
"loss": 4.4224,
|
| 1449 |
+
"step": 693
|
| 1450 |
+
},
|
| 1451 |
+
{
|
| 1452 |
+
"epoch": 1.56,
|
| 1453 |
+
"learning_rate": 0.00015513249805899147,
|
| 1454 |
+
"loss": 4.3176,
|
| 1455 |
+
"step": 696
|
| 1456 |
+
},
|
| 1457 |
+
{
|
| 1458 |
+
"epoch": 1.57,
|
| 1459 |
+
"learning_rate": 0.00015479923774270487,
|
| 1460 |
+
"loss": 4.346,
|
| 1461 |
+
"step": 699
|
| 1462 |
+
},
|
| 1463 |
+
{
|
| 1464 |
+
"epoch": 1.57,
|
| 1465 |
+
"eval_accuracy": 0.3792750366389839,
|
| 1466 |
+
"eval_loss": 4.030762672424316,
|
| 1467 |
+
"eval_runtime": 15.1012,
|
| 1468 |
+
"eval_samples_per_second": 33.11,
|
| 1469 |
+
"eval_steps_per_second": 16.555,
|
| 1470 |
+
"step": 700
|
| 1471 |
+
},
|
| 1472 |
+
{
|
| 1473 |
+
"epoch": 1.58,
|
| 1474 |
+
"learning_rate": 0.00015446811599938306,
|
| 1475 |
+
"loss": 4.4625,
|
| 1476 |
+
"step": 702
|
| 1477 |
+
},
|
| 1478 |
+
{
|
| 1479 |
+
"epoch": 1.58,
|
| 1480 |
+
"learning_rate": 0.00015413911005396052,
|
| 1481 |
+
"loss": 4.3274,
|
| 1482 |
+
"step": 705
|
| 1483 |
+
},
|
| 1484 |
+
{
|
| 1485 |
+
"epoch": 1.59,
|
| 1486 |
+
"learning_rate": 0.0001538121974694968,
|
| 1487 |
+
"loss": 4.4441,
|
| 1488 |
+
"step": 708
|
| 1489 |
+
},
|
| 1490 |
+
{
|
| 1491 |
+
"epoch": 1.6,
|
| 1492 |
+
"learning_rate": 0.00015348735614074976,
|
| 1493 |
+
"loss": 4.1558,
|
| 1494 |
+
"step": 711
|
| 1495 |
+
},
|
| 1496 |
+
{
|
| 1497 |
+
"epoch": 1.6,
|
| 1498 |
+
"learning_rate": 0.0001531645642878972,
|
| 1499 |
+
"loss": 4.3941,
|
| 1500 |
+
"step": 714
|
| 1501 |
+
},
|
| 1502 |
+
{
|
| 1503 |
+
"epoch": 1.61,
|
| 1504 |
+
"learning_rate": 0.0001528438004504034,
|
| 1505 |
+
"loss": 4.1691,
|
| 1506 |
+
"step": 717
|
| 1507 |
+
},
|
| 1508 |
+
{
|
| 1509 |
+
"epoch": 1.62,
|
| 1510 |
+
"learning_rate": 0.00015252504348102605,
|
| 1511 |
+
"loss": 4.4237,
|
| 1512 |
+
"step": 720
|
| 1513 |
+
},
|
| 1514 |
+
{
|
| 1515 |
+
"epoch": 1.62,
|
| 1516 |
+
"learning_rate": 0.0001522082725399605,
|
| 1517 |
+
"loss": 4.314,
|
| 1518 |
+
"step": 723
|
| 1519 |
+
},
|
| 1520 |
+
{
|
| 1521 |
+
"epoch": 1.63,
|
| 1522 |
+
"learning_rate": 0.00015189346708911682,
|
| 1523 |
+
"loss": 4.2329,
|
| 1524 |
+
"step": 726
|
| 1525 |
+
},
|
| 1526 |
+
{
|
| 1527 |
+
"epoch": 1.64,
|
| 1528 |
+
"learning_rate": 0.00015158060688652685,
|
| 1529 |
+
"loss": 4.2591,
|
| 1530 |
+
"step": 729
|
| 1531 |
+
},
|
| 1532 |
+
{
|
| 1533 |
+
"epoch": 1.64,
|
| 1534 |
+
"learning_rate": 0.0001512696719808772,
|
| 1535 |
+
"loss": 4.3707,
|
| 1536 |
+
"step": 732
|
| 1537 |
+
},
|
| 1538 |
+
{
|
| 1539 |
+
"epoch": 1.65,
|
| 1540 |
+
"learning_rate": 0.00015096064270616534,
|
| 1541 |
+
"loss": 4.3054,
|
| 1542 |
+
"step": 735
|
| 1543 |
+
},
|
| 1544 |
+
{
|
| 1545 |
+
"epoch": 1.66,
|
| 1546 |
+
"learning_rate": 0.000150653499676475,
|
| 1547 |
+
"loss": 4.466,
|
| 1548 |
+
"step": 738
|
| 1549 |
+
},
|
| 1550 |
+
{
|
| 1551 |
+
"epoch": 1.66,
|
| 1552 |
+
"learning_rate": 0.00015034822378086837,
|
| 1553 |
+
"loss": 4.2339,
|
| 1554 |
+
"step": 741
|
| 1555 |
+
},
|
| 1556 |
+
{
|
| 1557 |
+
"epoch": 1.67,
|
| 1558 |
+
"learning_rate": 0.0001500447961783915,
|
| 1559 |
+
"loss": 4.2401,
|
| 1560 |
+
"step": 744
|
| 1561 |
+
},
|
| 1562 |
+
{
|
| 1563 |
+
"epoch": 1.68,
|
| 1564 |
+
"learning_rate": 0.00014974319829319003,
|
| 1565 |
+
"loss": 4.1819,
|
| 1566 |
+
"step": 747
|
| 1567 |
+
},
|
| 1568 |
+
{
|
| 1569 |
+
"epoch": 1.68,
|
| 1570 |
+
"learning_rate": 0.00014944341180973263,
|
| 1571 |
+
"loss": 4.2786,
|
| 1572 |
+
"step": 750
|
| 1573 |
+
},
|
| 1574 |
+
{
|
| 1575 |
+
"epoch": 1.69,
|
| 1576 |
+
"learning_rate": 0.0001491454186681393,
|
| 1577 |
+
"loss": 4.3168,
|
| 1578 |
+
"step": 753
|
| 1579 |
+
},
|
| 1580 |
+
{
|
| 1581 |
+
"epoch": 1.7,
|
| 1582 |
+
"learning_rate": 0.00014884920105961153,
|
| 1583 |
+
"loss": 4.266,
|
| 1584 |
+
"step": 756
|
| 1585 |
+
},
|
| 1586 |
+
{
|
| 1587 |
+
"epoch": 1.71,
|
| 1588 |
+
"learning_rate": 0.00014855474142196195,
|
| 1589 |
+
"loss": 4.1603,
|
| 1590 |
+
"step": 759
|
| 1591 |
+
},
|
| 1592 |
+
{
|
| 1593 |
+
"epoch": 1.71,
|
| 1594 |
+
"learning_rate": 0.00014826202243524108,
|
| 1595 |
+
"loss": 4.2068,
|
| 1596 |
+
"step": 762
|
| 1597 |
+
},
|
| 1598 |
+
{
|
| 1599 |
+
"epoch": 1.72,
|
| 1600 |
+
"learning_rate": 0.00014797102701745806,
|
| 1601 |
+
"loss": 4.1314,
|
| 1602 |
+
"step": 765
|
| 1603 |
+
},
|
| 1604 |
+
{
|
| 1605 |
+
"epoch": 1.73,
|
| 1606 |
+
"learning_rate": 0.000147681738320394,
|
| 1607 |
+
"loss": 4.201,
|
| 1608 |
+
"step": 768
|
| 1609 |
+
},
|
| 1610 |
+
{
|
| 1611 |
+
"epoch": 1.73,
|
| 1612 |
+
"learning_rate": 0.00014739413972550443,
|
| 1613 |
+
"loss": 4.1408,
|
| 1614 |
+
"step": 771
|
| 1615 |
+
},
|
| 1616 |
+
{
|
| 1617 |
+
"epoch": 1.74,
|
| 1618 |
+
"learning_rate": 0.00014710821483990966,
|
| 1619 |
+
"loss": 4.1985,
|
| 1620 |
+
"step": 774
|
| 1621 |
+
},
|
| 1622 |
+
{
|
| 1623 |
+
"epoch": 1.75,
|
| 1624 |
+
"learning_rate": 0.0001468239474924699,
|
| 1625 |
+
"loss": 4.3132,
|
| 1626 |
+
"step": 777
|
| 1627 |
+
},
|
| 1628 |
+
{
|
| 1629 |
+
"epoch": 1.75,
|
| 1630 |
+
"learning_rate": 0.00014654132172994404,
|
| 1631 |
+
"loss": 4.1763,
|
| 1632 |
+
"step": 780
|
| 1633 |
+
},
|
| 1634 |
+
{
|
| 1635 |
+
"epoch": 1.76,
|
| 1636 |
+
"learning_rate": 0.00014626032181322903,
|
| 1637 |
+
"loss": 4.2122,
|
| 1638 |
+
"step": 783
|
| 1639 |
+
},
|
| 1640 |
+
{
|
| 1641 |
+
"epoch": 1.77,
|
| 1642 |
+
"learning_rate": 0.00014598093221367836,
|
| 1643 |
+
"loss": 4.0161,
|
| 1644 |
+
"step": 786
|
| 1645 |
+
},
|
| 1646 |
+
{
|
| 1647 |
+
"epoch": 1.77,
|
| 1648 |
+
"learning_rate": 0.0001457031376094977,
|
| 1649 |
+
"loss": 4.3279,
|
| 1650 |
+
"step": 789
|
| 1651 |
+
},
|
| 1652 |
+
{
|
| 1653 |
+
"epoch": 1.78,
|
| 1654 |
+
"learning_rate": 0.00014542692288221565,
|
| 1655 |
+
"loss": 4.26,
|
| 1656 |
+
"step": 792
|
| 1657 |
+
},
|
| 1658 |
+
{
|
| 1659 |
+
"epoch": 1.79,
|
| 1660 |
+
"learning_rate": 0.0001451522731132279,
|
| 1661 |
+
"loss": 4.2826,
|
| 1662 |
+
"step": 795
|
| 1663 |
+
},
|
| 1664 |
+
{
|
| 1665 |
+
"epoch": 1.79,
|
| 1666 |
+
"learning_rate": 0.00014487917358041273,
|
| 1667 |
+
"loss": 4.1878,
|
| 1668 |
+
"step": 798
|
| 1669 |
+
},
|
| 1670 |
+
{
|
| 1671 |
+
"epoch": 1.8,
|
| 1672 |
+
"eval_accuracy": 0.3845920859794822,
|
| 1673 |
+
"eval_loss": 3.957355499267578,
|
| 1674 |
+
"eval_runtime": 15.1878,
|
| 1675 |
+
"eval_samples_per_second": 32.921,
|
| 1676 |
+
"eval_steps_per_second": 16.461,
|
| 1677 |
+
"step": 800
|
| 1678 |
+
},
|
| 1679 |
+
{
|
| 1680 |
+
"epoch": 1.8,
|
| 1681 |
+
"learning_rate": 0.00014460760975481632,
|
| 1682 |
+
"loss": 4.3063,
|
| 1683 |
+
"step": 801
|
| 1684 |
+
},
|
| 1685 |
+
{
|
| 1686 |
+
"epoch": 1.81,
|
| 1687 |
+
"learning_rate": 0.00014433756729740648,
|
| 1688 |
+
"loss": 4.1148,
|
| 1689 |
+
"step": 804
|
| 1690 |
+
},
|
| 1691 |
+
{
|
| 1692 |
+
"epoch": 1.81,
|
| 1693 |
+
"learning_rate": 0.00014406903205589218,
|
| 1694 |
+
"loss": 4.1089,
|
| 1695 |
+
"step": 807
|
| 1696 |
+
},
|
| 1697 |
+
{
|
| 1698 |
+
"epoch": 1.82,
|
| 1699 |
+
"learning_rate": 0.00014380199006160872,
|
| 1700 |
+
"loss": 4.1745,
|
| 1701 |
+
"step": 810
|
| 1702 |
+
},
|
| 1703 |
+
{
|
| 1704 |
+
"epoch": 1.83,
|
| 1705 |
+
"learning_rate": 0.00014353642752646544,
|
| 1706 |
+
"loss": 4.2486,
|
| 1707 |
+
"step": 813
|
| 1708 |
+
},
|
| 1709 |
+
{
|
| 1710 |
+
"epoch": 1.83,
|
| 1711 |
+
"learning_rate": 0.00014327233083995573,
|
| 1712 |
+
"loss": 4.2344,
|
| 1713 |
+
"step": 816
|
| 1714 |
+
},
|
| 1715 |
+
{
|
| 1716 |
+
"epoch": 1.84,
|
| 1717 |
+
"learning_rate": 0.00014300968656622687,
|
| 1718 |
+
"loss": 4.0578,
|
| 1719 |
+
"step": 819
|
| 1720 |
+
},
|
| 1721 |
+
{
|
| 1722 |
+
"epoch": 1.85,
|
| 1723 |
+
"learning_rate": 0.00014274848144120935,
|
| 1724 |
+
"loss": 4.2833,
|
| 1725 |
+
"step": 822
|
| 1726 |
+
},
|
| 1727 |
+
{
|
| 1728 |
+
"epoch": 1.85,
|
| 1729 |
+
"learning_rate": 0.000142488702369803,
|
| 1730 |
+
"loss": 4.1856,
|
| 1731 |
+
"step": 825
|
| 1732 |
+
},
|
| 1733 |
+
{
|
| 1734 |
+
"epoch": 1.86,
|
| 1735 |
+
"learning_rate": 0.00014223033642311972,
|
| 1736 |
+
"loss": 4.2869,
|
| 1737 |
+
"step": 828
|
| 1738 |
+
},
|
| 1739 |
+
{
|
| 1740 |
+
"epoch": 1.87,
|
| 1741 |
+
"learning_rate": 0.0001419733708357808,
|
| 1742 |
+
"loss": 4.1484,
|
| 1743 |
+
"step": 831
|
| 1744 |
+
},
|
| 1745 |
+
{
|
| 1746 |
+
"epoch": 1.87,
|
| 1747 |
+
"learning_rate": 0.00014171779300326768,
|
| 1748 |
+
"loss": 4.3338,
|
| 1749 |
+
"step": 834
|
| 1750 |
+
},
|
| 1751 |
+
{
|
| 1752 |
+
"epoch": 1.88,
|
| 1753 |
+
"learning_rate": 0.00014146359047932533,
|
| 1754 |
+
"loss": 4.0804,
|
| 1755 |
+
"step": 837
|
| 1756 |
+
},
|
| 1757 |
+
{
|
| 1758 |
+
"epoch": 1.89,
|
| 1759 |
+
"learning_rate": 0.0001412107509734163,
|
| 1760 |
+
"loss": 4.2786,
|
| 1761 |
+
"step": 840
|
| 1762 |
+
},
|
| 1763 |
+
{
|
| 1764 |
+
"epoch": 1.89,
|
| 1765 |
+
"learning_rate": 0.0001409592623482247,
|
| 1766 |
+
"loss": 4.2871,
|
| 1767 |
+
"step": 843
|
| 1768 |
+
},
|
| 1769 |
+
{
|
| 1770 |
+
"epoch": 1.9,
|
| 1771 |
+
"learning_rate": 0.0001407091126172092,
|
| 1772 |
+
"loss": 4.4272,
|
| 1773 |
+
"step": 846
|
| 1774 |
+
},
|
| 1775 |
+
{
|
| 1776 |
+
"epoch": 1.91,
|
| 1777 |
+
"learning_rate": 0.0001404602899422033,
|
| 1778 |
+
"loss": 4.1707,
|
| 1779 |
+
"step": 849
|
| 1780 |
+
},
|
| 1781 |
+
{
|
| 1782 |
+
"epoch": 1.91,
|
| 1783 |
+
"learning_rate": 0.00014021278263106235,
|
| 1784 |
+
"loss": 4.1172,
|
| 1785 |
+
"step": 852
|
| 1786 |
+
},
|
| 1787 |
+
{
|
| 1788 |
+
"epoch": 1.92,
|
| 1789 |
+
"learning_rate": 0.00013996657913535574,
|
| 1790 |
+
"loss": 4.3611,
|
| 1791 |
+
"step": 855
|
| 1792 |
+
},
|
| 1793 |
+
{
|
| 1794 |
+
"epoch": 1.93,
|
| 1795 |
+
"learning_rate": 0.00013972166804810385,
|
| 1796 |
+
"loss": 4.2268,
|
| 1797 |
+
"step": 858
|
| 1798 |
+
},
|
| 1799 |
+
{
|
| 1800 |
+
"epoch": 1.93,
|
| 1801 |
+
"learning_rate": 0.00013947803810155813,
|
| 1802 |
+
"loss": 4.1159,
|
| 1803 |
+
"step": 861
|
| 1804 |
+
},
|
| 1805 |
+
{
|
| 1806 |
+
"epoch": 1.94,
|
| 1807 |
+
"learning_rate": 0.0001392356781650238,
|
| 1808 |
+
"loss": 4.3072,
|
| 1809 |
+
"step": 864
|
| 1810 |
+
},
|
| 1811 |
+
{
|
| 1812 |
+
"epoch": 1.95,
|
| 1813 |
+
"learning_rate": 0.00013899457724272379,
|
| 1814 |
+
"loss": 4.1207,
|
| 1815 |
+
"step": 867
|
| 1816 |
+
},
|
| 1817 |
+
{
|
| 1818 |
+
"epoch": 1.95,
|
| 1819 |
+
"learning_rate": 0.00013875472447170365,
|
| 1820 |
+
"loss": 4.2149,
|
| 1821 |
+
"step": 870
|
| 1822 |
+
},
|
| 1823 |
+
{
|
| 1824 |
+
"epoch": 1.96,
|
| 1825 |
+
"learning_rate": 0.0001385161091197755,
|
| 1826 |
+
"loss": 4.2332,
|
| 1827 |
+
"step": 873
|
| 1828 |
+
},
|
| 1829 |
+
{
|
| 1830 |
+
"epoch": 1.97,
|
| 1831 |
+
"learning_rate": 0.00013827872058350135,
|
| 1832 |
+
"loss": 4.3785,
|
| 1833 |
+
"step": 876
|
| 1834 |
+
},
|
| 1835 |
+
{
|
| 1836 |
+
"epoch": 1.97,
|
| 1837 |
+
"learning_rate": 0.00013804254838621383,
|
| 1838 |
+
"loss": 4.2428,
|
| 1839 |
+
"step": 879
|
| 1840 |
+
},
|
| 1841 |
+
{
|
| 1842 |
+
"epoch": 1.98,
|
| 1843 |
+
"learning_rate": 0.0001378075821760741,
|
| 1844 |
+
"loss": 4.0385,
|
| 1845 |
+
"step": 882
|
| 1846 |
+
},
|
| 1847 |
+
{
|
| 1848 |
+
"epoch": 1.99,
|
| 1849 |
+
"learning_rate": 0.0001375738117241664,
|
| 1850 |
+
"loss": 4.3084,
|
| 1851 |
+
"step": 885
|
| 1852 |
+
},
|
| 1853 |
+
{
|
| 1854 |
+
"epoch": 1.99,
|
| 1855 |
+
"learning_rate": 0.00013734122692262733,
|
| 1856 |
+
"loss": 4.1674,
|
| 1857 |
+
"step": 888
|
| 1858 |
+
},
|
| 1859 |
+
{
|
| 1860 |
+
"epoch": 2.0,
|
| 1861 |
+
"learning_rate": 0.0001371098177828104,
|
| 1862 |
+
"loss": 4.2508,
|
| 1863 |
+
"step": 891
|
| 1864 |
+
},
|
| 1865 |
+
{
|
| 1866 |
+
"epoch": 2.01,
|
| 1867 |
+
"learning_rate": 0.00013687957443348414,
|
| 1868 |
+
"loss": 4.246,
|
| 1869 |
+
"step": 894
|
| 1870 |
+
},
|
| 1871 |
+
{
|
| 1872 |
+
"epoch": 2.02,
|
| 1873 |
+
"learning_rate": 0.0001366504871190636,
|
| 1874 |
+
"loss": 4.125,
|
| 1875 |
+
"step": 897
|
| 1876 |
+
},
|
| 1877 |
+
{
|
| 1878 |
+
"epoch": 2.02,
|
| 1879 |
+
"learning_rate": 0.00013642254619787418,
|
| 1880 |
+
"loss": 4.2311,
|
| 1881 |
+
"step": 900
|
| 1882 |
+
},
|
| 1883 |
+
{
|
| 1884 |
+
"epoch": 2.02,
|
| 1885 |
+
"eval_accuracy": 0.38997361993160723,
|
| 1886 |
+
"eval_loss": 3.894345283508301,
|
| 1887 |
+
"eval_runtime": 15.1182,
|
| 1888 |
+
"eval_samples_per_second": 33.073,
|
| 1889 |
+
"eval_steps_per_second": 16.536,
|
| 1890 |
+
"step": 900
|
| 1891 |
+
},
|
| 1892 |
+
{
|
| 1893 |
+
"epoch": 2.03,
|
| 1894 |
+
"learning_rate": 0.00013619574214044708,
|
| 1895 |
+
"loss": 3.9819,
|
| 1896 |
+
"step": 903
|
| 1897 |
+
},
|
| 1898 |
+
{
|
| 1899 |
+
"epoch": 2.04,
|
| 1900 |
+
"learning_rate": 0.00013597006552784624,
|
| 1901 |
+
"loss": 4.1381,
|
| 1902 |
+
"step": 906
|
| 1903 |
+
},
|
| 1904 |
+
{
|
| 1905 |
+
"epoch": 2.04,
|
| 1906 |
+
"learning_rate": 0.00013574550705002514,
|
| 1907 |
+
"loss": 4.1994,
|
| 1908 |
+
"step": 909
|
| 1909 |
+
},
|
| 1910 |
+
{
|
| 1911 |
+
"epoch": 2.05,
|
| 1912 |
+
"learning_rate": 0.0001355220575042138,
|
| 1913 |
+
"loss": 4.3326,
|
| 1914 |
+
"step": 912
|
| 1915 |
+
},
|
| 1916 |
+
{
|
| 1917 |
+
"epoch": 2.06,
|
| 1918 |
+
"learning_rate": 0.00013529970779333468,
|
| 1919 |
+
"loss": 4.09,
|
| 1920 |
+
"step": 915
|
| 1921 |
+
},
|
| 1922 |
+
{
|
| 1923 |
+
"epoch": 2.06,
|
| 1924 |
+
"learning_rate": 0.00013507844892444694,
|
| 1925 |
+
"loss": 4.1256,
|
| 1926 |
+
"step": 918
|
| 1927 |
+
},
|
| 1928 |
+
{
|
| 1929 |
+
"epoch": 2.07,
|
| 1930 |
+
"learning_rate": 0.000134858272007219,
|
| 1931 |
+
"loss": 4.043,
|
| 1932 |
+
"step": 921
|
| 1933 |
+
},
|
| 1934 |
+
{
|
| 1935 |
+
"epoch": 2.08,
|
| 1936 |
+
"learning_rate": 0.00013463916825242806,
|
| 1937 |
+
"loss": 4.1771,
|
| 1938 |
+
"step": 924
|
| 1939 |
+
},
|
| 1940 |
+
{
|
| 1941 |
+
"epoch": 2.08,
|
| 1942 |
+
"learning_rate": 0.00013442112897048627,
|
| 1943 |
+
"loss": 4.175,
|
| 1944 |
+
"step": 927
|
| 1945 |
+
},
|
| 1946 |
+
{
|
| 1947 |
+
"epoch": 2.09,
|
| 1948 |
+
"learning_rate": 0.00013420414556999363,
|
| 1949 |
+
"loss": 4.1617,
|
| 1950 |
+
"step": 930
|
| 1951 |
+
},
|
| 1952 |
+
{
|
| 1953 |
+
"epoch": 2.1,
|
| 1954 |
+
"learning_rate": 0.00013398820955631575,
|
| 1955 |
+
"loss": 4.1036,
|
| 1956 |
+
"step": 933
|
| 1957 |
+
},
|
| 1958 |
+
{
|
| 1959 |
+
"epoch": 2.1,
|
| 1960 |
+
"learning_rate": 0.00013377331253018723,
|
| 1961 |
+
"loss": 4.1814,
|
| 1962 |
+
"step": 936
|
| 1963 |
+
},
|
| 1964 |
+
{
|
| 1965 |
+
"epoch": 2.11,
|
| 1966 |
+
"learning_rate": 0.00013355944618633945,
|
| 1967 |
+
"loss": 4.1713,
|
| 1968 |
+
"step": 939
|
| 1969 |
+
},
|
| 1970 |
+
{
|
| 1971 |
+
"epoch": 2.12,
|
| 1972 |
+
"learning_rate": 0.0001333466023121524,
|
| 1973 |
+
"loss": 3.9674,
|
| 1974 |
+
"step": 942
|
| 1975 |
+
},
|
| 1976 |
+
{
|
| 1977 |
+
"epoch": 2.12,
|
| 1978 |
+
"learning_rate": 0.00013313477278633005,
|
| 1979 |
+
"loss": 4.1862,
|
| 1980 |
+
"step": 945
|
| 1981 |
+
},
|
| 1982 |
+
{
|
| 1983 |
+
"epoch": 2.13,
|
| 1984 |
+
"learning_rate": 0.00013292394957759875,
|
| 1985 |
+
"loss": 3.9531,
|
| 1986 |
+
"step": 948
|
| 1987 |
+
},
|
| 1988 |
+
{
|
| 1989 |
+
"epoch": 2.14,
|
| 1990 |
+
"learning_rate": 0.0001327141247434285,
|
| 1991 |
+
"loss": 4.2624,
|
| 1992 |
+
"step": 951
|
| 1993 |
+
},
|
| 1994 |
+
{
|
| 1995 |
+
"epoch": 2.14,
|
| 1996 |
+
"learning_rate": 0.0001325052904287759,
|
| 1997 |
+
"loss": 4.2659,
|
| 1998 |
+
"step": 954
|
| 1999 |
+
},
|
| 2000 |
+
{
|
| 2001 |
+
"epoch": 2.15,
|
| 2002 |
+
"learning_rate": 0.0001322974388648493,
|
| 2003 |
+
"loss": 4.1861,
|
| 2004 |
+
"step": 957
|
| 2005 |
+
},
|
| 2006 |
+
{
|
| 2007 |
+
"epoch": 2.16,
|
| 2008 |
+
"learning_rate": 0.00013209056236789465,
|
| 2009 |
+
"loss": 4.1348,
|
| 2010 |
+
"step": 960
|
| 2011 |
+
},
|
| 2012 |
+
{
|
| 2013 |
+
"epoch": 2.16,
|
| 2014 |
+
"learning_rate": 0.0001318846533380027,
|
| 2015 |
+
"loss": 4.0551,
|
| 2016 |
+
"step": 963
|
| 2017 |
+
},
|
| 2018 |
+
{
|
| 2019 |
+
"epoch": 2.17,
|
| 2020 |
+
"learning_rate": 0.00013167970425793625,
|
| 2021 |
+
"loss": 4.1224,
|
| 2022 |
+
"step": 966
|
| 2023 |
+
},
|
| 2024 |
+
{
|
| 2025 |
+
"epoch": 2.18,
|
| 2026 |
+
"learning_rate": 0.00013147570769197746,
|
| 2027 |
+
"loss": 4.223,
|
| 2028 |
+
"step": 969
|
| 2029 |
+
},
|
| 2030 |
+
{
|
| 2031 |
+
"epoch": 2.18,
|
| 2032 |
+
"learning_rate": 0.00013127265628479467,
|
| 2033 |
+
"loss": 4.2638,
|
| 2034 |
+
"step": 972
|
| 2035 |
+
},
|
| 2036 |
+
{
|
| 2037 |
+
"epoch": 2.19,
|
| 2038 |
+
"learning_rate": 0.00013107054276032882,
|
| 2039 |
+
"loss": 4.187,
|
| 2040 |
+
"step": 975
|
| 2041 |
+
},
|
| 2042 |
+
{
|
| 2043 |
+
"epoch": 2.2,
|
| 2044 |
+
"learning_rate": 0.0001308693599206979,
|
| 2045 |
+
"loss": 4.2086,
|
| 2046 |
+
"step": 978
|
| 2047 |
+
},
|
| 2048 |
+
{
|
| 2049 |
+
"epoch": 2.2,
|
| 2050 |
+
"learning_rate": 0.00013066910064512072,
|
| 2051 |
+
"loss": 4.0953,
|
| 2052 |
+
"step": 981
|
| 2053 |
+
},
|
| 2054 |
+
{
|
| 2055 |
+
"epoch": 2.21,
|
| 2056 |
+
"learning_rate": 0.00013046975788885806,
|
| 2057 |
+
"loss": 4.0066,
|
| 2058 |
+
"step": 984
|
| 2059 |
+
},
|
| 2060 |
+
{
|
| 2061 |
+
"epoch": 2.22,
|
| 2062 |
+
"learning_rate": 0.0001302713246821718,
|
| 2063 |
+
"loss": 4.0972,
|
| 2064 |
+
"step": 987
|
| 2065 |
+
},
|
| 2066 |
+
{
|
| 2067 |
+
"epoch": 2.22,
|
| 2068 |
+
"learning_rate": 0.00013007379412930154,
|
| 2069 |
+
"loss": 4.0935,
|
| 2070 |
+
"step": 990
|
| 2071 |
+
},
|
| 2072 |
+
{
|
| 2073 |
+
"epoch": 2.23,
|
| 2074 |
+
"learning_rate": 0.00012987715940745797,
|
| 2075 |
+
"loss": 4.2207,
|
| 2076 |
+
"step": 993
|
| 2077 |
+
},
|
| 2078 |
+
{
|
| 2079 |
+
"epoch": 2.24,
|
| 2080 |
+
"learning_rate": 0.00012968141376583318,
|
| 2081 |
+
"loss": 4.2459,
|
| 2082 |
+
"step": 996
|
| 2083 |
+
},
|
| 2084 |
+
{
|
| 2085 |
+
"epoch": 2.24,
|
| 2086 |
+
"learning_rate": 0.00012948655052462697,
|
| 2087 |
+
"loss": 3.9241,
|
| 2088 |
+
"step": 999
|
| 2089 |
+
},
|
| 2090 |
+
{
|
| 2091 |
+
"epoch": 2.25,
|
| 2092 |
+
"eval_accuracy": 0.3940625305324866,
|
| 2093 |
+
"eval_loss": 3.8381006717681885,
|
| 2094 |
+
"eval_runtime": 15.2257,
|
| 2095 |
+
"eval_samples_per_second": 32.839,
|
| 2096 |
+
"eval_steps_per_second": 16.42,
|
| 2097 |
+
"step": 1000
|
| 2098 |
+
},
|
| 2099 |
+
{
|
| 2100 |
+
"epoch": 2.25,
|
| 2101 |
+
"learning_rate": 0.0001292925630740897,
|
| 2102 |
+
"loss": 3.9667,
|
| 2103 |
+
"step": 1002
|
| 2104 |
+
},
|
| 2105 |
+
{
|
| 2106 |
+
"epoch": 2.26,
|
| 2107 |
+
"learning_rate": 0.00012909944487358055,
|
| 2108 |
+
"loss": 3.9541,
|
| 2109 |
+
"step": 1005
|
| 2110 |
+
},
|
| 2111 |
+
{
|
| 2112 |
+
"epoch": 2.26,
|
| 2113 |
+
"learning_rate": 0.00012890718945064115,
|
| 2114 |
+
"loss": 4.17,
|
| 2115 |
+
"step": 1008
|
| 2116 |
+
},
|
| 2117 |
+
{
|
| 2118 |
+
"epoch": 2.27,
|
| 2119 |
+
"learning_rate": 0.00012871579040008455,
|
| 2120 |
+
"loss": 4.2002,
|
| 2121 |
+
"step": 1011
|
| 2122 |
+
},
|
| 2123 |
+
{
|
| 2124 |
+
"epoch": 2.28,
|
| 2125 |
+
"learning_rate": 0.00012852524138309883,
|
| 2126 |
+
"loss": 3.8889,
|
| 2127 |
+
"step": 1014
|
| 2128 |
+
},
|
| 2129 |
+
{
|
| 2130 |
+
"epoch": 2.28,
|
| 2131 |
+
"learning_rate": 0.00012833553612636562,
|
| 2132 |
+
"loss": 4.1517,
|
| 2133 |
+
"step": 1017
|
| 2134 |
+
},
|
| 2135 |
+
{
|
| 2136 |
+
"epoch": 2.29,
|
| 2137 |
+
"learning_rate": 0.00012814666842119222,
|
| 2138 |
+
"loss": 4.0006,
|
| 2139 |
+
"step": 1020
|
| 2140 |
+
},
|
| 2141 |
+
{
|
| 2142 |
+
"epoch": 2.3,
|
| 2143 |
+
"learning_rate": 0.0001279586321226585,
|
| 2144 |
+
"loss": 4.1701,
|
| 2145 |
+
"step": 1023
|
| 2146 |
+
},
|
| 2147 |
+
{
|
| 2148 |
+
"epoch": 2.3,
|
| 2149 |
+
"learning_rate": 0.0001277714211487771,
|
| 2150 |
+
"loss": 4.0948,
|
| 2151 |
+
"step": 1026
|
| 2152 |
+
},
|
| 2153 |
+
{
|
| 2154 |
+
"epoch": 2.31,
|
| 2155 |
+
"learning_rate": 0.00012758502947966702,
|
| 2156 |
+
"loss": 3.8545,
|
| 2157 |
+
"step": 1029
|
| 2158 |
+
},
|
| 2159 |
+
{
|
| 2160 |
+
"epoch": 2.32,
|
| 2161 |
+
"learning_rate": 0.0001273994511567407,
|
| 2162 |
+
"loss": 4.0275,
|
| 2163 |
+
"step": 1032
|
| 2164 |
+
},
|
| 2165 |
+
{
|
| 2166 |
+
"epoch": 2.33,
|
| 2167 |
+
"learning_rate": 0.000127214680281904,
|
| 2168 |
+
"loss": 4.0691,
|
| 2169 |
+
"step": 1035
|
| 2170 |
+
},
|
| 2171 |
+
{
|
| 2172 |
+
"epoch": 2.33,
|
| 2173 |
+
"learning_rate": 0.00012703071101676877,
|
| 2174 |
+
"loss": 4.2064,
|
| 2175 |
+
"step": 1038
|
| 2176 |
+
},
|
| 2177 |
+
{
|
| 2178 |
+
"epoch": 2.34,
|
| 2179 |
+
"learning_rate": 0.00012684753758187807,
|
| 2180 |
+
"loss": 4.0849,
|
| 2181 |
+
"step": 1041
|
| 2182 |
+
},
|
| 2183 |
+
{
|
| 2184 |
+
"epoch": 2.35,
|
| 2185 |
+
"learning_rate": 0.0001266651542559436,
|
| 2186 |
+
"loss": 4.07,
|
| 2187 |
+
"step": 1044
|
| 2188 |
+
},
|
| 2189 |
+
{
|
| 2190 |
+
"epoch": 2.35,
|
| 2191 |
+
"learning_rate": 0.00012648355537509508,
|
| 2192 |
+
"loss": 4.0875,
|
| 2193 |
+
"step": 1047
|
| 2194 |
+
},
|
| 2195 |
+
{
|
| 2196 |
+
"epoch": 2.36,
|
| 2197 |
+
"learning_rate": 0.00012630273533214138,
|
| 2198 |
+
"loss": 4.1563,
|
| 2199 |
+
"step": 1050
|
| 2200 |
+
},
|
| 2201 |
+
{
|
| 2202 |
+
"epoch": 2.37,
|
| 2203 |
+
"learning_rate": 0.00012612268857584364,
|
| 2204 |
+
"loss": 3.9259,
|
| 2205 |
+
"step": 1053
|
| 2206 |
+
},
|
| 2207 |
+
{
|
| 2208 |
+
"epoch": 2.37,
|
| 2209 |
+
"learning_rate": 0.00012594340961019924,
|
| 2210 |
+
"loss": 4.0386,
|
| 2211 |
+
"step": 1056
|
| 2212 |
+
},
|
| 2213 |
+
{
|
| 2214 |
+
"epoch": 2.38,
|
| 2215 |
+
"learning_rate": 0.00012576489299373717,
|
| 2216 |
+
"loss": 4.1156,
|
| 2217 |
+
"step": 1059
|
| 2218 |
+
},
|
| 2219 |
+
{
|
| 2220 |
+
"epoch": 2.39,
|
| 2221 |
+
"learning_rate": 0.00012558713333882439,
|
| 2222 |
+
"loss": 4.1451,
|
| 2223 |
+
"step": 1062
|
| 2224 |
+
},
|
| 2225 |
+
{
|
| 2226 |
+
"epoch": 2.39,
|
| 2227 |
+
"learning_rate": 0.0001254101253109829,
|
| 2228 |
+
"loss": 4.1658,
|
| 2229 |
+
"step": 1065
|
| 2230 |
+
},
|
| 2231 |
+
{
|
| 2232 |
+
"epoch": 2.4,
|
| 2233 |
+
"learning_rate": 0.00012523386362821735,
|
| 2234 |
+
"loss": 3.9714,
|
| 2235 |
+
"step": 1068
|
| 2236 |
+
},
|
| 2237 |
+
{
|
| 2238 |
+
"epoch": 2.41,
|
| 2239 |
+
"learning_rate": 0.00012505834306035296,
|
| 2240 |
+
"loss": 4.054,
|
| 2241 |
+
"step": 1071
|
| 2242 |
+
},
|
| 2243 |
+
{
|
| 2244 |
+
"epoch": 2.41,
|
| 2245 |
+
"learning_rate": 0.00012488355842838386,
|
| 2246 |
+
"loss": 4.3048,
|
| 2247 |
+
"step": 1074
|
| 2248 |
+
},
|
| 2249 |
+
{
|
| 2250 |
+
"epoch": 2.42,
|
| 2251 |
+
"learning_rate": 0.00012470950460383105,
|
| 2252 |
+
"loss": 4.1463,
|
| 2253 |
+
"step": 1077
|
| 2254 |
+
},
|
| 2255 |
+
{
|
| 2256 |
+
"epoch": 2.43,
|
| 2257 |
+
"learning_rate": 0.00012453617650811052,
|
| 2258 |
+
"loss": 4.1869,
|
| 2259 |
+
"step": 1080
|
| 2260 |
+
},
|
| 2261 |
+
{
|
| 2262 |
+
"epoch": 2.43,
|
| 2263 |
+
"learning_rate": 0.00012436356911191076,
|
| 2264 |
+
"loss": 4.1841,
|
| 2265 |
+
"step": 1083
|
| 2266 |
+
},
|
| 2267 |
+
{
|
| 2268 |
+
"epoch": 2.44,
|
| 2269 |
+
"learning_rate": 0.00012419167743457984,
|
| 2270 |
+
"loss": 4.1018,
|
| 2271 |
+
"step": 1086
|
| 2272 |
+
},
|
| 2273 |
+
{
|
| 2274 |
+
"epoch": 2.45,
|
| 2275 |
+
"learning_rate": 0.00012402049654352198,
|
| 2276 |
+
"loss": 4.0625,
|
| 2277 |
+
"step": 1089
|
| 2278 |
+
},
|
| 2279 |
+
{
|
| 2280 |
+
"epoch": 2.45,
|
| 2281 |
+
"learning_rate": 0.00012385002155360265,
|
| 2282 |
+
"loss": 3.9801,
|
| 2283 |
+
"step": 1092
|
| 2284 |
+
},
|
| 2285 |
+
{
|
| 2286 |
+
"epoch": 2.46,
|
| 2287 |
+
"learning_rate": 0.0001236802476265634,
|
| 2288 |
+
"loss": 3.8948,
|
| 2289 |
+
"step": 1095
|
| 2290 |
+
},
|
| 2291 |
+
{
|
| 2292 |
+
"epoch": 2.47,
|
| 2293 |
+
"learning_rate": 0.0001235111699704449,
|
| 2294 |
+
"loss": 4.0892,
|
| 2295 |
+
"step": 1098
|
| 2296 |
+
},
|
| 2297 |
+
{
|
| 2298 |
+
"epoch": 2.47,
|
| 2299 |
+
"eval_accuracy": 0.40057449926722033,
|
| 2300 |
+
"eval_loss": 3.7851128578186035,
|
| 2301 |
+
"eval_runtime": 15.1297,
|
| 2302 |
+
"eval_samples_per_second": 33.047,
|
| 2303 |
+
"eval_steps_per_second": 16.524,
|
| 2304 |
+
"step": 1100
|
| 2305 |
+
},
|
| 2306 |
+
{
|
| 2307 |
+
"epoch": 2.47,
|
| 2308 |
+
"learning_rate": 0.00012334278383901892,
|
| 2309 |
+
"loss": 4.1253,
|
| 2310 |
+
"step": 1101
|
| 2311 |
+
},
|
| 2312 |
+
{
|
| 2313 |
+
"epoch": 2.48,
|
| 2314 |
+
"learning_rate": 0.0001231750845312288,
|
| 2315 |
+
"loss": 4.1474,
|
| 2316 |
+
"step": 1104
|
| 2317 |
+
},
|
| 2318 |
+
{
|
| 2319 |
+
"epoch": 2.49,
|
| 2320 |
+
"learning_rate": 0.0001230080673906381,
|
| 2321 |
+
"loss": 3.9774,
|
| 2322 |
+
"step": 1107
|
| 2323 |
+
},
|
| 2324 |
+
{
|
| 2325 |
+
"epoch": 2.49,
|
| 2326 |
+
"learning_rate": 0.00012284172780488756,
|
| 2327 |
+
"loss": 3.9692,
|
| 2328 |
+
"step": 1110
|
| 2329 |
+
},
|
| 2330 |
+
{
|
| 2331 |
+
"epoch": 2.5,
|
| 2332 |
+
"learning_rate": 0.00012267606120516025,
|
| 2333 |
+
"loss": 4.1343,
|
| 2334 |
+
"step": 1113
|
| 2335 |
+
},
|
| 2336 |
+
{
|
| 2337 |
+
"epoch": 2.51,
|
| 2338 |
+
"learning_rate": 0.0001225110630656542,
|
| 2339 |
+
"loss": 3.9415,
|
| 2340 |
+
"step": 1116
|
| 2341 |
+
},
|
| 2342 |
+
{
|
| 2343 |
+
"epoch": 2.51,
|
| 2344 |
+
"learning_rate": 0.00012234672890306351,
|
| 2345 |
+
"loss": 4.1099,
|
| 2346 |
+
"step": 1119
|
| 2347 |
+
},
|
| 2348 |
+
{
|
| 2349 |
+
"epoch": 2.52,
|
| 2350 |
+
"learning_rate": 0.0001221830542760663,
|
| 2351 |
+
"loss": 4.1696,
|
| 2352 |
+
"step": 1122
|
| 2353 |
+
},
|
| 2354 |
+
{
|
| 2355 |
+
"epoch": 2.53,
|
| 2356 |
+
"learning_rate": 0.00012202003478482084,
|
| 2357 |
+
"loss": 4.078,
|
| 2358 |
+
"step": 1125
|
| 2359 |
+
},
|
| 2360 |
+
{
|
| 2361 |
+
"epoch": 2.53,
|
| 2362 |
+
"learning_rate": 0.00012185766607046863,
|
| 2363 |
+
"loss": 4.0812,
|
| 2364 |
+
"step": 1128
|
| 2365 |
+
},
|
| 2366 |
+
{
|
| 2367 |
+
"epoch": 2.54,
|
| 2368 |
+
"learning_rate": 0.00012169594381464496,
|
| 2369 |
+
"loss": 3.9068,
|
| 2370 |
+
"step": 1131
|
| 2371 |
+
},
|
| 2372 |
+
{
|
| 2373 |
+
"epoch": 2.55,
|
| 2374 |
+
"learning_rate": 0.00012153486373899648,
|
| 2375 |
+
"loss": 4.1278,
|
| 2376 |
+
"step": 1134
|
| 2377 |
+
},
|
| 2378 |
+
{
|
| 2379 |
+
"epoch": 2.55,
|
| 2380 |
+
"learning_rate": 0.00012137442160470578,
|
| 2381 |
+
"loss": 3.9715,
|
| 2382 |
+
"step": 1137
|
| 2383 |
+
},
|
| 2384 |
+
{
|
| 2385 |
+
"epoch": 2.56,
|
| 2386 |
+
"learning_rate": 0.00012121461321202305,
|
| 2387 |
+
"loss": 4.1367,
|
| 2388 |
+
"step": 1140
|
| 2389 |
+
},
|
| 2390 |
+
{
|
| 2391 |
+
"epoch": 2.57,
|
| 2392 |
+
"learning_rate": 0.00012105543439980414,
|
| 2393 |
+
"loss": 4.0155,
|
| 2394 |
+
"step": 1143
|
| 2395 |
+
},
|
| 2396 |
+
{
|
| 2397 |
+
"epoch": 2.57,
|
| 2398 |
+
"learning_rate": 0.00012089688104505568,
|
| 2399 |
+
"loss": 3.9383,
|
| 2400 |
+
"step": 1146
|
| 2401 |
+
},
|
| 2402 |
+
{
|
| 2403 |
+
"epoch": 2.58,
|
| 2404 |
+
"learning_rate": 0.00012073894906248632,
|
| 2405 |
+
"loss": 4.0753,
|
| 2406 |
+
"step": 1149
|
| 2407 |
+
},
|
| 2408 |
+
{
|
| 2409 |
+
"epoch": 2.59,
|
| 2410 |
+
"learning_rate": 0.00012058163440406483,
|
| 2411 |
+
"loss": 3.9593,
|
| 2412 |
+
"step": 1152
|
| 2413 |
+
},
|
| 2414 |
+
{
|
| 2415 |
+
"epoch": 2.59,
|
| 2416 |
+
"learning_rate": 0.00012042493305858426,
|
| 2417 |
+
"loss": 4.022,
|
| 2418 |
+
"step": 1155
|
| 2419 |
+
},
|
| 2420 |
+
{
|
| 2421 |
+
"epoch": 2.6,
|
| 2422 |
+
"learning_rate": 0.00012026884105123223,
|
| 2423 |
+
"loss": 3.9807,
|
| 2424 |
+
"step": 1158
|
| 2425 |
+
},
|
| 2426 |
+
{
|
| 2427 |
+
"epoch": 2.61,
|
| 2428 |
+
"learning_rate": 0.00012011335444316761,
|
| 2429 |
+
"loss": 3.956,
|
| 2430 |
+
"step": 1161
|
| 2431 |
+
},
|
| 2432 |
+
{
|
| 2433 |
+
"epoch": 2.61,
|
| 2434 |
+
"learning_rate": 0.00011995846933110294,
|
| 2435 |
+
"loss": 3.9439,
|
| 2436 |
+
"step": 1164
|
| 2437 |
+
},
|
| 2438 |
+
{
|
| 2439 |
+
"epoch": 2.62,
|
| 2440 |
+
"learning_rate": 0.0001198041818468931,
|
| 2441 |
+
"loss": 3.8425,
|
| 2442 |
+
"step": 1167
|
| 2443 |
+
},
|
| 2444 |
+
{
|
| 2445 |
+
"epoch": 2.63,
|
| 2446 |
+
"learning_rate": 0.00011965048815712919,
|
| 2447 |
+
"loss": 3.7483,
|
| 2448 |
+
"step": 1170
|
| 2449 |
+
},
|
| 2450 |
+
{
|
| 2451 |
+
"epoch": 2.64,
|
| 2452 |
+
"learning_rate": 0.00011949738446273892,
|
| 2453 |
+
"loss": 3.8322,
|
| 2454 |
+
"step": 1173
|
| 2455 |
+
},
|
| 2456 |
+
{
|
| 2457 |
+
"epoch": 2.64,
|
| 2458 |
+
"learning_rate": 0.00011934486699859179,
|
| 2459 |
+
"loss": 4.0349,
|
| 2460 |
+
"step": 1176
|
| 2461 |
+
},
|
| 2462 |
+
{
|
| 2463 |
+
"epoch": 2.65,
|
| 2464 |
+
"learning_rate": 0.00011919293203311051,
|
| 2465 |
+
"loss": 4.0348,
|
| 2466 |
+
"step": 1179
|
| 2467 |
+
},
|
| 2468 |
+
{
|
| 2469 |
+
"epoch": 2.66,
|
| 2470 |
+
"learning_rate": 0.00011904157586788735,
|
| 2471 |
+
"loss": 3.9782,
|
| 2472 |
+
"step": 1182
|
| 2473 |
+
},
|
| 2474 |
+
{
|
| 2475 |
+
"epoch": 2.66,
|
| 2476 |
+
"learning_rate": 0.0001188907948373061,
|
| 2477 |
+
"loss": 4.0214,
|
| 2478 |
+
"step": 1185
|
| 2479 |
+
},
|
| 2480 |
+
{
|
| 2481 |
+
"epoch": 2.67,
|
| 2482 |
+
"learning_rate": 0.00011874058530816918,
|
| 2483 |
+
"loss": 4.03,
|
| 2484 |
+
"step": 1188
|
| 2485 |
+
},
|
| 2486 |
+
{
|
| 2487 |
+
"epoch": 2.68,
|
| 2488 |
+
"learning_rate": 0.00011859094367932986,
|
| 2489 |
+
"loss": 3.8793,
|
| 2490 |
+
"step": 1191
|
| 2491 |
+
},
|
| 2492 |
+
{
|
| 2493 |
+
"epoch": 2.68,
|
| 2494 |
+
"learning_rate": 0.00011844186638132986,
|
| 2495 |
+
"loss": 4.0513,
|
| 2496 |
+
"step": 1194
|
| 2497 |
+
},
|
| 2498 |
+
{
|
| 2499 |
+
"epoch": 2.69,
|
| 2500 |
+
"learning_rate": 0.00011829334987604151,
|
| 2501 |
+
"loss": 3.9717,
|
| 2502 |
+
"step": 1197
|
| 2503 |
+
},
|
| 2504 |
+
{
|
| 2505 |
+
"epoch": 2.7,
|
| 2506 |
+
"learning_rate": 0.00011814539065631521,
|
| 2507 |
+
"loss": 3.8988,
|
| 2508 |
+
"step": 1200
|
| 2509 |
+
},
|
| 2510 |
+
{
|
| 2511 |
+
"epoch": 2.7,
|
| 2512 |
+
"eval_accuracy": 0.40605862237420615,
|
| 2513 |
+
"eval_loss": 3.735245704650879,
|
| 2514 |
+
"eval_runtime": 15.2272,
|
| 2515 |
+
"eval_samples_per_second": 32.836,
|
| 2516 |
+
"eval_steps_per_second": 16.418,
|
| 2517 |
+
"step": 1200
|
| 2518 |
+
},
|
| 2519 |
+
{
|
| 2520 |
+
"epoch": 2.7,
|
| 2521 |
+
"learning_rate": 0.00011799798524563149,
|
| 2522 |
+
"loss": 4.0729,
|
| 2523 |
+
"step": 1203
|
| 2524 |
+
},
|
| 2525 |
+
{
|
| 2526 |
+
"epoch": 2.71,
|
| 2527 |
+
"learning_rate": 0.00011785113019775794,
|
| 2528 |
+
"loss": 3.9832,
|
| 2529 |
+
"step": 1206
|
| 2530 |
+
},
|
| 2531 |
+
{
|
| 2532 |
+
"epoch": 2.72,
|
| 2533 |
+
"learning_rate": 0.00011770482209641084,
|
| 2534 |
+
"loss": 4.0265,
|
| 2535 |
+
"step": 1209
|
| 2536 |
+
},
|
| 2537 |
+
{
|
| 2538 |
+
"epoch": 2.72,
|
| 2539 |
+
"learning_rate": 0.0001175590575549214,
|
| 2540 |
+
"loss": 3.8835,
|
| 2541 |
+
"step": 1212
|
| 2542 |
+
},
|
| 2543 |
+
{
|
| 2544 |
+
"epoch": 2.73,
|
| 2545 |
+
"learning_rate": 0.00011741383321590637,
|
| 2546 |
+
"loss": 4.047,
|
| 2547 |
+
"step": 1215
|
| 2548 |
+
},
|
| 2549 |
+
{
|
| 2550 |
+
"epoch": 2.74,
|
| 2551 |
+
"learning_rate": 0.00011726914575094334,
|
| 2552 |
+
"loss": 3.9129,
|
| 2553 |
+
"step": 1218
|
| 2554 |
+
},
|
| 2555 |
+
{
|
| 2556 |
+
"epoch": 2.74,
|
| 2557 |
+
"learning_rate": 0.00011712499186025038,
|
| 2558 |
+
"loss": 4.1231,
|
| 2559 |
+
"step": 1221
|
| 2560 |
+
},
|
| 2561 |
+
{
|
| 2562 |
+
"epoch": 2.75,
|
| 2563 |
+
"learning_rate": 0.00011698136827236986,
|
| 2564 |
+
"loss": 3.909,
|
| 2565 |
+
"step": 1224
|
| 2566 |
+
},
|
| 2567 |
+
{
|
| 2568 |
+
"epoch": 2.76,
|
| 2569 |
+
"learning_rate": 0.00011683827174385659,
|
| 2570 |
+
"loss": 3.9995,
|
| 2571 |
+
"step": 1227
|
| 2572 |
+
},
|
| 2573 |
+
{
|
| 2574 |
+
"epoch": 2.76,
|
| 2575 |
+
"learning_rate": 0.00011669569905897041,
|
| 2576 |
+
"loss": 3.8527,
|
| 2577 |
+
"step": 1230
|
| 2578 |
+
},
|
| 2579 |
+
{
|
| 2580 |
+
"epoch": 2.77,
|
| 2581 |
+
"learning_rate": 0.00011655364702937239,
|
| 2582 |
+
"loss": 3.943,
|
| 2583 |
+
"step": 1233
|
| 2584 |
+
},
|
| 2585 |
+
{
|
| 2586 |
+
"epoch": 2.78,
|
| 2587 |
+
"learning_rate": 0.00011641211249382548,
|
| 2588 |
+
"loss": 3.9862,
|
| 2589 |
+
"step": 1236
|
| 2590 |
+
},
|
| 2591 |
+
{
|
| 2592 |
+
"epoch": 2.78,
|
| 2593 |
+
"learning_rate": 0.0001162710923178991,
|
| 2594 |
+
"loss": 4.0563,
|
| 2595 |
+
"step": 1239
|
| 2596 |
+
},
|
| 2597 |
+
{
|
| 2598 |
+
"epoch": 2.79,
|
| 2599 |
+
"learning_rate": 0.00011613058339367746,
|
| 2600 |
+
"loss": 3.8894,
|
| 2601 |
+
"step": 1242
|
| 2602 |
+
},
|
| 2603 |
+
{
|
| 2604 |
+
"epoch": 2.8,
|
| 2605 |
+
"learning_rate": 0.00011599058263947197,
|
| 2606 |
+
"loss": 4.0139,
|
| 2607 |
+
"step": 1245
|
| 2608 |
+
},
|
| 2609 |
+
{
|
| 2610 |
+
"epoch": 2.8,
|
| 2611 |
+
"learning_rate": 0.0001158510869995373,
|
| 2612 |
+
"loss": 4.077,
|
| 2613 |
+
"step": 1248
|
| 2614 |
+
},
|
| 2615 |
+
{
|
| 2616 |
+
"epoch": 2.81,
|
| 2617 |
+
"learning_rate": 0.00011571209344379127,
|
| 2618 |
+
"loss": 3.997,
|
| 2619 |
+
"step": 1251
|
| 2620 |
+
},
|
| 2621 |
+
{
|
| 2622 |
+
"epoch": 2.82,
|
| 2623 |
+
"learning_rate": 0.00011557359896753848,
|
| 2624 |
+
"loss": 4.1008,
|
| 2625 |
+
"step": 1254
|
| 2626 |
+
},
|
| 2627 |
+
{
|
| 2628 |
+
"epoch": 2.82,
|
| 2629 |
+
"learning_rate": 0.00011543560059119733,
|
| 2630 |
+
"loss": 3.9626,
|
| 2631 |
+
"step": 1257
|
| 2632 |
+
},
|
| 2633 |
+
{
|
| 2634 |
+
"epoch": 2.83,
|
| 2635 |
+
"learning_rate": 0.00011529809536003097,
|
| 2636 |
+
"loss": 4.166,
|
| 2637 |
+
"step": 1260
|
| 2638 |
+
},
|
| 2639 |
+
{
|
| 2640 |
+
"epoch": 2.84,
|
| 2641 |
+
"learning_rate": 0.00011516108034388144,
|
| 2642 |
+
"loss": 3.9516,
|
| 2643 |
+
"step": 1263
|
| 2644 |
+
},
|
| 2645 |
+
{
|
| 2646 |
+
"epoch": 2.84,
|
| 2647 |
+
"learning_rate": 0.00011502455263690746,
|
| 2648 |
+
"loss": 3.8293,
|
| 2649 |
+
"step": 1266
|
| 2650 |
+
},
|
| 2651 |
+
{
|
| 2652 |
+
"epoch": 2.85,
|
| 2653 |
+
"learning_rate": 0.00011488850935732566,
|
| 2654 |
+
"loss": 3.9151,
|
| 2655 |
+
"step": 1269
|
| 2656 |
+
},
|
| 2657 |
+
{
|
| 2658 |
+
"epoch": 2.86,
|
| 2659 |
+
"learning_rate": 0.00011475294764715498,
|
| 2660 |
+
"loss": 3.8377,
|
| 2661 |
+
"step": 1272
|
| 2662 |
+
},
|
| 2663 |
+
{
|
| 2664 |
+
"epoch": 2.86,
|
| 2665 |
+
"learning_rate": 0.00011461786467196458,
|
| 2666 |
+
"loss": 3.9941,
|
| 2667 |
+
"step": 1275
|
| 2668 |
+
},
|
| 2669 |
+
{
|
| 2670 |
+
"epoch": 2.87,
|
| 2671 |
+
"learning_rate": 0.00011448325762062485,
|
| 2672 |
+
"loss": 3.9573,
|
| 2673 |
+
"step": 1278
|
| 2674 |
+
},
|
| 2675 |
+
{
|
| 2676 |
+
"epoch": 2.88,
|
| 2677 |
+
"learning_rate": 0.00011434912370506185,
|
| 2678 |
+
"loss": 4.0494,
|
| 2679 |
+
"step": 1281
|
| 2680 |
+
},
|
| 2681 |
+
{
|
| 2682 |
+
"epoch": 2.88,
|
| 2683 |
+
"learning_rate": 0.00011421546016001452,
|
| 2684 |
+
"loss": 4.0166,
|
| 2685 |
+
"step": 1284
|
| 2686 |
+
},
|
| 2687 |
+
{
|
| 2688 |
+
"epoch": 2.89,
|
| 2689 |
+
"learning_rate": 0.00011408226424279549,
|
| 2690 |
+
"loss": 4.0949,
|
| 2691 |
+
"step": 1287
|
| 2692 |
+
},
|
| 2693 |
+
{
|
| 2694 |
+
"epoch": 2.9,
|
| 2695 |
+
"learning_rate": 0.00011394953323305457,
|
| 2696 |
+
"loss": 4.0741,
|
| 2697 |
+
"step": 1290
|
| 2698 |
+
},
|
| 2699 |
+
{
|
| 2700 |
+
"epoch": 2.9,
|
| 2701 |
+
"learning_rate": 0.00011381726443254541,
|
| 2702 |
+
"loss": 3.9583,
|
| 2703 |
+
"step": 1293
|
| 2704 |
+
},
|
| 2705 |
+
{
|
| 2706 |
+
"epoch": 2.91,
|
| 2707 |
+
"learning_rate": 0.00011368545516489513,
|
| 2708 |
+
"loss": 3.9649,
|
| 2709 |
+
"step": 1296
|
| 2710 |
+
},
|
| 2711 |
+
{
|
| 2712 |
+
"epoch": 2.92,
|
| 2713 |
+
"learning_rate": 0.00011355410277537692,
|
| 2714 |
+
"loss": 3.9169,
|
| 2715 |
+
"step": 1299
|
| 2716 |
+
},
|
| 2717 |
+
{
|
| 2718 |
+
"epoch": 2.92,
|
| 2719 |
+
"eval_accuracy": 0.4101592574499267,
|
| 2720 |
+
"eval_loss": 3.6907660961151123,
|
| 2721 |
+
"eval_runtime": 15.2368,
|
| 2722 |
+
"eval_samples_per_second": 32.815,
|
| 2723 |
+
"eval_steps_per_second": 16.408,
|
| 2724 |
+
"step": 1300
|
| 2725 |
+
},
|
| 2726 |
+
{
|
| 2727 |
+
"epoch": 2.93,
|
| 2728 |
+
"learning_rate": 0.00011342320463068534,
|
| 2729 |
+
"loss": 4.0254,
|
| 2730 |
+
"step": 1302
|
| 2731 |
+
},
|
| 2732 |
+
{
|
| 2733 |
+
"epoch": 2.93,
|
| 2734 |
+
"learning_rate": 0.00011329275811871468,
|
| 2735 |
+
"loss": 3.9481,
|
| 2736 |
+
"step": 1305
|
| 2737 |
+
},
|
| 2738 |
+
{
|
| 2739 |
+
"epoch": 2.94,
|
| 2740 |
+
"learning_rate": 0.00011316276064834012,
|
| 2741 |
+
"loss": 3.8534,
|
| 2742 |
+
"step": 1308
|
| 2743 |
+
},
|
| 2744 |
+
{
|
| 2745 |
+
"epoch": 2.95,
|
| 2746 |
+
"learning_rate": 0.00011303320964920135,
|
| 2747 |
+
"loss": 3.8253,
|
| 2748 |
+
"step": 1311
|
| 2749 |
+
},
|
| 2750 |
+
{
|
| 2751 |
+
"epoch": 2.95,
|
| 2752 |
+
"learning_rate": 0.00011290410257148924,
|
| 2753 |
+
"loss": 3.8843,
|
| 2754 |
+
"step": 1314
|
| 2755 |
+
},
|
| 2756 |
+
{
|
| 2757 |
+
"epoch": 2.96,
|
| 2758 |
+
"learning_rate": 0.00011277543688573506,
|
| 2759 |
+
"loss": 3.987,
|
| 2760 |
+
"step": 1317
|
| 2761 |
+
},
|
| 2762 |
+
{
|
| 2763 |
+
"epoch": 2.97,
|
| 2764 |
+
"learning_rate": 0.00011264721008260231,
|
| 2765 |
+
"loss": 3.9692,
|
| 2766 |
+
"step": 1320
|
| 2767 |
+
},
|
| 2768 |
+
{
|
| 2769 |
+
"epoch": 2.97,
|
| 2770 |
+
"learning_rate": 0.00011251941967268115,
|
| 2771 |
+
"loss": 3.8917,
|
| 2772 |
+
"step": 1323
|
| 2773 |
+
},
|
| 2774 |
+
{
|
| 2775 |
+
"epoch": 2.98,
|
| 2776 |
+
"learning_rate": 0.00011239206318628546,
|
| 2777 |
+
"loss": 4.0324,
|
| 2778 |
+
"step": 1326
|
| 2779 |
+
},
|
| 2780 |
+
{
|
| 2781 |
+
"epoch": 2.99,
|
| 2782 |
+
"learning_rate": 0.00011226513817325236,
|
| 2783 |
+
"loss": 3.8372,
|
| 2784 |
+
"step": 1329
|
| 2785 |
+
},
|
| 2786 |
+
{
|
| 2787 |
+
"epoch": 2.99,
|
| 2788 |
+
"learning_rate": 0.00011213864220274417,
|
| 2789 |
+
"loss": 3.9239,
|
| 2790 |
+
"step": 1332
|
| 2791 |
+
},
|
| 2792 |
+
{
|
| 2793 |
+
"epoch": 3.0,
|
| 2794 |
+
"learning_rate": 0.00011201257286305297,
|
| 2795 |
+
"loss": 3.8253,
|
| 2796 |
+
"step": 1335
|
| 2797 |
+
},
|
| 2798 |
+
{
|
| 2799 |
+
"epoch": 3.0,
|
| 2800 |
+
"step": 1335,
|
| 2801 |
+
"total_flos": 1.849574515802112e+16,
|
| 2802 |
+
"train_loss": 4.728262927737576,
|
| 2803 |
+
"train_runtime": 4788.6915,
|
| 2804 |
+
"train_samples_per_second": 17.847,
|
| 2805 |
+
"train_steps_per_second": 0.279
|
| 2806 |
+
}
|
| 2807 |
+
],
|
| 2808 |
+
"logging_steps": 3,
|
| 2809 |
+
"max_steps": 1335,
|
| 2810 |
+
"num_train_epochs": 3,
|
| 2811 |
+
"save_steps": 100,
|
| 2812 |
+
"total_flos": 1.849574515802112e+16,
|
| 2813 |
+
"trial_name": null,
|
| 2814 |
+
"trial_params": null
|
| 2815 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5f9d2cdeb00ce3eaecc2b86ad66abe416e6e1fc68d7ec65dad0628704c7adc7b
|
| 3 |
+
size 4664
|