Training in progress, step 5000, checkpoint
Browse files- checkpoint-5000/config.json +195 -0
- checkpoint-5000/generation_config.json +4 -0
- checkpoint-5000/model.safetensors +3 -0
- checkpoint-5000/optimizer.pt +3 -0
- checkpoint-5000/rng_state_0.pth +3 -0
- checkpoint-5000/rng_state_1.pth +3 -0
- checkpoint-5000/rng_state_2.pth +3 -0
- checkpoint-5000/rng_state_3.pth +3 -0
- checkpoint-5000/scheduler.pt +3 -0
- checkpoint-5000/trainer_state.json +3601 -0
- checkpoint-5000/training_args.bin +3 -0
checkpoint-5000/config.json
ADDED
|
@@ -0,0 +1,195 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"SrcProberForConditionalGeneration"
|
| 4 |
+
],
|
| 5 |
+
"asm_encoder_config": {
|
| 6 |
+
"_name_or_path": "",
|
| 7 |
+
"add_cross_attention": false,
|
| 8 |
+
"architectures": [
|
| 9 |
+
"LongelmForMaskedLMWithEdgePrediction"
|
| 10 |
+
],
|
| 11 |
+
"attention_probs_dropout_prob": 0.1,
|
| 12 |
+
"bad_words_ids": null,
|
| 13 |
+
"begin_suppress_tokens": null,
|
| 14 |
+
"block_size": 8,
|
| 15 |
+
"bos_token_id": 1,
|
| 16 |
+
"chunk_size_feed_forward": 0,
|
| 17 |
+
"classifier_dropout": null,
|
| 18 |
+
"cross_attention_hidden_size": null,
|
| 19 |
+
"decoder_start_token_id": null,
|
| 20 |
+
"diversity_penalty": 0.0,
|
| 21 |
+
"do_sample": false,
|
| 22 |
+
"early_stopping": false,
|
| 23 |
+
"encoder_no_repeat_ngram_size": 0,
|
| 24 |
+
"eos_token_id": 2,
|
| 25 |
+
"ep_add_linear_projection": true,
|
| 26 |
+
"exponential_decay_length_penalty": null,
|
| 27 |
+
"finetuning_task": null,
|
| 28 |
+
"forced_bos_token_id": null,
|
| 29 |
+
"forced_eos_token_id": null,
|
| 30 |
+
"global_memory_size": 1,
|
| 31 |
+
"hidden_act": "gelu",
|
| 32 |
+
"hidden_dropout_prob": 0.1,
|
| 33 |
+
"hidden_size": 768,
|
| 34 |
+
"id2label": {
|
| 35 |
+
"0": "LABEL_0",
|
| 36 |
+
"1": "LABEL_1"
|
| 37 |
+
},
|
| 38 |
+
"initializer_range": 0.02,
|
| 39 |
+
"intermediate_size": 3072,
|
| 40 |
+
"is_decoder": false,
|
| 41 |
+
"is_encoder_decoder": false,
|
| 42 |
+
"label2id": {
|
| 43 |
+
"LABEL_0": 0,
|
| 44 |
+
"LABEL_1": 1
|
| 45 |
+
},
|
| 46 |
+
"layer_norm_eps": 1e-12,
|
| 47 |
+
"length_penalty": 1.0,
|
| 48 |
+
"max_blocks": 200,
|
| 49 |
+
"max_length": 20,
|
| 50 |
+
"max_position_embeddings": 1805,
|
| 51 |
+
"max_relative_position_embeddings": 8,
|
| 52 |
+
"min_length": 0,
|
| 53 |
+
"model_type": "longelm",
|
| 54 |
+
"no_repeat_ngram_size": 0,
|
| 55 |
+
"node_size": 1,
|
| 56 |
+
"num_attention_heads": 12,
|
| 57 |
+
"num_beam_groups": 1,
|
| 58 |
+
"num_beams": 1,
|
| 59 |
+
"num_hidden_layers": 12,
|
| 60 |
+
"num_return_sequences": 1,
|
| 61 |
+
"output_attentions": false,
|
| 62 |
+
"output_hidden_states": false,
|
| 63 |
+
"output_scores": false,
|
| 64 |
+
"pad_token_id": 3,
|
| 65 |
+
"position_embedding_type": "mixed",
|
| 66 |
+
"prefix": null,
|
| 67 |
+
"problem_type": null,
|
| 68 |
+
"pruned_heads": {},
|
| 69 |
+
"remove_invalid_values": false,
|
| 70 |
+
"repetition_penalty": 1.0,
|
| 71 |
+
"return_dict": true,
|
| 72 |
+
"return_dict_in_generate": false,
|
| 73 |
+
"sep_token_id": null,
|
| 74 |
+
"suppress_tokens": null,
|
| 75 |
+
"task_specific_params": null,
|
| 76 |
+
"temperature": 1.0,
|
| 77 |
+
"tf_legacy_loss": false,
|
| 78 |
+
"tie_encoder_decoder": false,
|
| 79 |
+
"tie_word_embeddings": true,
|
| 80 |
+
"tokenizer_class": null,
|
| 81 |
+
"top_k": 50,
|
| 82 |
+
"top_p": 1.0,
|
| 83 |
+
"torch_dtype": "float32",
|
| 84 |
+
"torchscript": false,
|
| 85 |
+
"type_vocab_size": 2,
|
| 86 |
+
"typical_p": 1.0,
|
| 87 |
+
"use_bfloat16": false,
|
| 88 |
+
"use_cache": true,
|
| 89 |
+
"vocab_size": 50265
|
| 90 |
+
},
|
| 91 |
+
"asm_feature_select_strategy": "nodes",
|
| 92 |
+
"asm_token_index": 32016,
|
| 93 |
+
"ignore_index": -100,
|
| 94 |
+
"model_type": "rad-prober",
|
| 95 |
+
"pad_token_id": 2,
|
| 96 |
+
"projector_hidden_act": "gelu",
|
| 97 |
+
"src_lm_config": {
|
| 98 |
+
"_name_or_path": "codellama/CodeLlama-7b-hf",
|
| 99 |
+
"add_cross_attention": false,
|
| 100 |
+
"architectures": [
|
| 101 |
+
"LlamaForCausalLM"
|
| 102 |
+
],
|
| 103 |
+
"attention_bias": false,
|
| 104 |
+
"attention_dropout": 0.0,
|
| 105 |
+
"bad_words_ids": null,
|
| 106 |
+
"begin_suppress_tokens": null,
|
| 107 |
+
"bos_token_id": 1,
|
| 108 |
+
"chunk_size_feed_forward": 0,
|
| 109 |
+
"cross_attention_hidden_size": null,
|
| 110 |
+
"decoder_start_token_id": null,
|
| 111 |
+
"diversity_penalty": 0.0,
|
| 112 |
+
"do_sample": false,
|
| 113 |
+
"early_stopping": false,
|
| 114 |
+
"encoder_no_repeat_ngram_size": 0,
|
| 115 |
+
"eos_token_id": 2,
|
| 116 |
+
"exponential_decay_length_penalty": null,
|
| 117 |
+
"finetuning_task": null,
|
| 118 |
+
"forced_bos_token_id": null,
|
| 119 |
+
"forced_eos_token_id": null,
|
| 120 |
+
"hidden_act": "silu",
|
| 121 |
+
"hidden_size": 4096,
|
| 122 |
+
"id2label": {
|
| 123 |
+
"0": "LABEL_0",
|
| 124 |
+
"1": "LABEL_1"
|
| 125 |
+
},
|
| 126 |
+
"initializer_range": 0.02,
|
| 127 |
+
"intermediate_size": 11008,
|
| 128 |
+
"is_decoder": false,
|
| 129 |
+
"is_encoder_decoder": false,
|
| 130 |
+
"label2id": {
|
| 131 |
+
"LABEL_0": 0,
|
| 132 |
+
"LABEL_1": 1
|
| 133 |
+
},
|
| 134 |
+
"length_penalty": 1.0,
|
| 135 |
+
"max_length": 20,
|
| 136 |
+
"max_position_embeddings": 16384,
|
| 137 |
+
"min_length": 0,
|
| 138 |
+
"model_type": "llama",
|
| 139 |
+
"no_repeat_ngram_size": 0,
|
| 140 |
+
"num_attention_heads": 32,
|
| 141 |
+
"num_beam_groups": 1,
|
| 142 |
+
"num_beams": 1,
|
| 143 |
+
"num_hidden_layers": 32,
|
| 144 |
+
"num_key_value_heads": 32,
|
| 145 |
+
"num_return_sequences": 1,
|
| 146 |
+
"output_attentions": false,
|
| 147 |
+
"output_hidden_states": false,
|
| 148 |
+
"output_scores": false,
|
| 149 |
+
"pad_token_id": null,
|
| 150 |
+
"prefix": null,
|
| 151 |
+
"pretraining_tp": 1,
|
| 152 |
+
"problem_type": null,
|
| 153 |
+
"pruned_heads": {},
|
| 154 |
+
"quantization_config": {
|
| 155 |
+
"_load_in_4bit": false,
|
| 156 |
+
"_load_in_8bit": true,
|
| 157 |
+
"bnb_4bit_compute_dtype": "float32",
|
| 158 |
+
"bnb_4bit_quant_storage": "uint8",
|
| 159 |
+
"bnb_4bit_quant_type": "fp4",
|
| 160 |
+
"bnb_4bit_use_double_quant": false,
|
| 161 |
+
"llm_int8_enable_fp32_cpu_offload": false,
|
| 162 |
+
"llm_int8_has_fp16_weight": false,
|
| 163 |
+
"llm_int8_skip_modules": null,
|
| 164 |
+
"llm_int8_threshold": 6.0,
|
| 165 |
+
"load_in_4bit": false,
|
| 166 |
+
"load_in_8bit": true,
|
| 167 |
+
"quant_method": "bitsandbytes"
|
| 168 |
+
},
|
| 169 |
+
"remove_invalid_values": false,
|
| 170 |
+
"repetition_penalty": 1.0,
|
| 171 |
+
"return_dict": true,
|
| 172 |
+
"return_dict_in_generate": false,
|
| 173 |
+
"rms_norm_eps": 1e-05,
|
| 174 |
+
"rope_scaling": null,
|
| 175 |
+
"rope_theta": 1000000,
|
| 176 |
+
"sep_token_id": null,
|
| 177 |
+
"suppress_tokens": null,
|
| 178 |
+
"task_specific_params": null,
|
| 179 |
+
"temperature": 1.0,
|
| 180 |
+
"tf_legacy_loss": false,
|
| 181 |
+
"tie_encoder_decoder": false,
|
| 182 |
+
"tie_word_embeddings": false,
|
| 183 |
+
"tokenizer_class": null,
|
| 184 |
+
"top_k": 50,
|
| 185 |
+
"top_p": 1.0,
|
| 186 |
+
"torch_dtype": "bfloat16",
|
| 187 |
+
"torchscript": false,
|
| 188 |
+
"typical_p": 1.0,
|
| 189 |
+
"use_bfloat16": false,
|
| 190 |
+
"use_cache": true,
|
| 191 |
+
"vocab_size": 32017
|
| 192 |
+
},
|
| 193 |
+
"torch_dtype": "float32",
|
| 194 |
+
"transformers_version": "4.39.3"
|
| 195 |
+
}
|
checkpoint-5000/generation_config.json
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"transformers_version": "4.39.3"
|
| 4 |
+
}
|
checkpoint-5000/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e4cbb896df6b65ee49dfe8f0a46c4c7cd6d5bd1a31c4d7c113f620a6311ed101
|
| 3 |
+
size 579945600
|
checkpoint-5000/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:061338ea1f4edcc844ccf7afec6c6c51504650e4a85eed0a9fcfa006f0dcfa51
|
| 3 |
+
size 216170911
|
checkpoint-5000/rng_state_0.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:997f05c38a6359893eee4a5b07b6e6c21d0af2e54ff32cd8ec61aeba7eae7ddb
|
| 3 |
+
size 14960
|
checkpoint-5000/rng_state_1.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6aeeac2fa4c99ec6106b308e017a147d9d39f5045968bd97249031c945f825eb
|
| 3 |
+
size 14960
|
checkpoint-5000/rng_state_2.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bfd4cc6a0c0886257afee402c28b398044f7be658a452ed4a490ebca25cb7fef
|
| 3 |
+
size 14960
|
checkpoint-5000/rng_state_3.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3e2401713a1083d805760ffe227f0a8379bc9ef08e13f0952d4401f14f67aca8
|
| 3 |
+
size 14960
|
checkpoint-5000/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8df647b59e085f1f5d43cccc9e067052484b24a4bcca9410f478960320a180db
|
| 3 |
+
size 1064
|
checkpoint-5000/trainer_state.json
ADDED
|
@@ -0,0 +1,3601 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 2.416626389560174,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 5000,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.0,
|
| 13 |
+
"grad_norm": 75.8236083984375,
|
| 14 |
+
"learning_rate": 4.0000000000000003e-07,
|
| 15 |
+
"loss": 3.7148,
|
| 16 |
+
"step": 10
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.01,
|
| 20 |
+
"grad_norm": 52.23726272583008,
|
| 21 |
+
"learning_rate": 9e-07,
|
| 22 |
+
"loss": 3.2721,
|
| 23 |
+
"step": 20
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.01,
|
| 27 |
+
"grad_norm": 35.391998291015625,
|
| 28 |
+
"learning_rate": 1.4000000000000001e-06,
|
| 29 |
+
"loss": 2.4262,
|
| 30 |
+
"step": 30
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.02,
|
| 34 |
+
"grad_norm": 15.225934028625488,
|
| 35 |
+
"learning_rate": 1.9e-06,
|
| 36 |
+
"loss": 1.8828,
|
| 37 |
+
"step": 40
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.02,
|
| 41 |
+
"grad_norm": 13.488654136657715,
|
| 42 |
+
"learning_rate": 2.4000000000000003e-06,
|
| 43 |
+
"loss": 1.5398,
|
| 44 |
+
"step": 50
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.03,
|
| 48 |
+
"grad_norm": 8.773133277893066,
|
| 49 |
+
"learning_rate": 2.8500000000000002e-06,
|
| 50 |
+
"loss": 1.2772,
|
| 51 |
+
"step": 60
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.03,
|
| 55 |
+
"grad_norm": 6.736795902252197,
|
| 56 |
+
"learning_rate": 3.3500000000000005e-06,
|
| 57 |
+
"loss": 1.1159,
|
| 58 |
+
"step": 70
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.04,
|
| 62 |
+
"grad_norm": 2.9463019371032715,
|
| 63 |
+
"learning_rate": 3.85e-06,
|
| 64 |
+
"loss": 0.9883,
|
| 65 |
+
"step": 80
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.04,
|
| 69 |
+
"grad_norm": 1.3851969242095947,
|
| 70 |
+
"learning_rate": 4.35e-06,
|
| 71 |
+
"loss": 0.902,
|
| 72 |
+
"step": 90
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.05,
|
| 76 |
+
"grad_norm": 1.4642181396484375,
|
| 77 |
+
"learning_rate": 4.85e-06,
|
| 78 |
+
"loss": 0.8701,
|
| 79 |
+
"step": 100
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.05,
|
| 83 |
+
"grad_norm": 0.6514687538146973,
|
| 84 |
+
"learning_rate": 5.3500000000000004e-06,
|
| 85 |
+
"loss": 0.8548,
|
| 86 |
+
"step": 110
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.06,
|
| 90 |
+
"grad_norm": 0.4448617994785309,
|
| 91 |
+
"learning_rate": 5.850000000000001e-06,
|
| 92 |
+
"loss": 0.8038,
|
| 93 |
+
"step": 120
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.06,
|
| 97 |
+
"grad_norm": 0.5425733327865601,
|
| 98 |
+
"learning_rate": 6.35e-06,
|
| 99 |
+
"loss": 0.825,
|
| 100 |
+
"step": 130
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.07,
|
| 104 |
+
"grad_norm": 0.47352057695388794,
|
| 105 |
+
"learning_rate": 6.8500000000000005e-06,
|
| 106 |
+
"loss": 0.812,
|
| 107 |
+
"step": 140
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.07,
|
| 111 |
+
"grad_norm": 0.40401744842529297,
|
| 112 |
+
"learning_rate": 7.35e-06,
|
| 113 |
+
"loss": 0.7912,
|
| 114 |
+
"step": 150
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.08,
|
| 118 |
+
"grad_norm": 0.3112718164920807,
|
| 119 |
+
"learning_rate": 7.850000000000001e-06,
|
| 120 |
+
"loss": 0.8057,
|
| 121 |
+
"step": 160
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.08,
|
| 125 |
+
"grad_norm": 0.45351892709732056,
|
| 126 |
+
"learning_rate": 8.350000000000001e-06,
|
| 127 |
+
"loss": 0.7912,
|
| 128 |
+
"step": 170
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.09,
|
| 132 |
+
"grad_norm": 0.38080641627311707,
|
| 133 |
+
"learning_rate": 8.85e-06,
|
| 134 |
+
"loss": 0.7956,
|
| 135 |
+
"step": 180
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.09,
|
| 139 |
+
"grad_norm": 0.22949431836605072,
|
| 140 |
+
"learning_rate": 9.35e-06,
|
| 141 |
+
"loss": 0.7785,
|
| 142 |
+
"step": 190
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.1,
|
| 146 |
+
"grad_norm": 0.8331744074821472,
|
| 147 |
+
"learning_rate": 9.85e-06,
|
| 148 |
+
"loss": 0.7769,
|
| 149 |
+
"step": 200
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.1,
|
| 153 |
+
"grad_norm": 0.30213871598243713,
|
| 154 |
+
"learning_rate": 1.035e-05,
|
| 155 |
+
"loss": 0.7797,
|
| 156 |
+
"step": 210
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.11,
|
| 160 |
+
"grad_norm": 0.32015591859817505,
|
| 161 |
+
"learning_rate": 1.0850000000000001e-05,
|
| 162 |
+
"loss": 0.7941,
|
| 163 |
+
"step": 220
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.11,
|
| 167 |
+
"grad_norm": 0.22447015345096588,
|
| 168 |
+
"learning_rate": 1.1350000000000001e-05,
|
| 169 |
+
"loss": 0.8014,
|
| 170 |
+
"step": 230
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.12,
|
| 174 |
+
"grad_norm": 0.2546006143093109,
|
| 175 |
+
"learning_rate": 1.185e-05,
|
| 176 |
+
"loss": 0.771,
|
| 177 |
+
"step": 240
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.12,
|
| 181 |
+
"grad_norm": 0.23833389580249786,
|
| 182 |
+
"learning_rate": 1.235e-05,
|
| 183 |
+
"loss": 0.7956,
|
| 184 |
+
"step": 250
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 0.13,
|
| 188 |
+
"grad_norm": 0.1831669956445694,
|
| 189 |
+
"learning_rate": 1.285e-05,
|
| 190 |
+
"loss": 0.7833,
|
| 191 |
+
"step": 260
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.13,
|
| 195 |
+
"grad_norm": 0.19860319793224335,
|
| 196 |
+
"learning_rate": 1.3350000000000001e-05,
|
| 197 |
+
"loss": 0.7956,
|
| 198 |
+
"step": 270
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 0.14,
|
| 202 |
+
"grad_norm": 0.21220380067825317,
|
| 203 |
+
"learning_rate": 1.3850000000000001e-05,
|
| 204 |
+
"loss": 0.7942,
|
| 205 |
+
"step": 280
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 0.14,
|
| 209 |
+
"grad_norm": 0.26025038957595825,
|
| 210 |
+
"learning_rate": 1.435e-05,
|
| 211 |
+
"loss": 0.7877,
|
| 212 |
+
"step": 290
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.14,
|
| 216 |
+
"grad_norm": 0.2029470056295395,
|
| 217 |
+
"learning_rate": 1.485e-05,
|
| 218 |
+
"loss": 0.7637,
|
| 219 |
+
"step": 300
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.15,
|
| 223 |
+
"grad_norm": 0.21639183163642883,
|
| 224 |
+
"learning_rate": 1.535e-05,
|
| 225 |
+
"loss": 0.7885,
|
| 226 |
+
"step": 310
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 0.15,
|
| 230 |
+
"grad_norm": 0.23670387268066406,
|
| 231 |
+
"learning_rate": 1.5850000000000002e-05,
|
| 232 |
+
"loss": 0.7558,
|
| 233 |
+
"step": 320
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 0.16,
|
| 237 |
+
"grad_norm": 0.2855335772037506,
|
| 238 |
+
"learning_rate": 1.635e-05,
|
| 239 |
+
"loss": 0.7854,
|
| 240 |
+
"step": 330
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 0.16,
|
| 244 |
+
"grad_norm": 0.21515759825706482,
|
| 245 |
+
"learning_rate": 1.6850000000000003e-05,
|
| 246 |
+
"loss": 0.7577,
|
| 247 |
+
"step": 340
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 0.17,
|
| 251 |
+
"grad_norm": 0.18981383740901947,
|
| 252 |
+
"learning_rate": 1.7349999999999998e-05,
|
| 253 |
+
"loss": 0.7802,
|
| 254 |
+
"step": 350
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 0.17,
|
| 258 |
+
"grad_norm": 0.2674611508846283,
|
| 259 |
+
"learning_rate": 1.785e-05,
|
| 260 |
+
"loss": 0.7809,
|
| 261 |
+
"step": 360
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 0.18,
|
| 265 |
+
"grad_norm": 0.24821774661540985,
|
| 266 |
+
"learning_rate": 1.8350000000000002e-05,
|
| 267 |
+
"loss": 0.7965,
|
| 268 |
+
"step": 370
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 0.18,
|
| 272 |
+
"grad_norm": 0.3644929528236389,
|
| 273 |
+
"learning_rate": 1.885e-05,
|
| 274 |
+
"loss": 0.7957,
|
| 275 |
+
"step": 380
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 0.19,
|
| 279 |
+
"grad_norm": 0.3568972647190094,
|
| 280 |
+
"learning_rate": 1.9350000000000003e-05,
|
| 281 |
+
"loss": 0.7882,
|
| 282 |
+
"step": 390
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 0.19,
|
| 286 |
+
"grad_norm": 0.3236319422721863,
|
| 287 |
+
"learning_rate": 1.985e-05,
|
| 288 |
+
"loss": 0.7841,
|
| 289 |
+
"step": 400
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 0.2,
|
| 293 |
+
"grad_norm": 0.24553723633289337,
|
| 294 |
+
"learning_rate": 2.035e-05,
|
| 295 |
+
"loss": 0.7824,
|
| 296 |
+
"step": 410
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 0.2,
|
| 300 |
+
"grad_norm": 0.1855400949716568,
|
| 301 |
+
"learning_rate": 2.085e-05,
|
| 302 |
+
"loss": 0.7645,
|
| 303 |
+
"step": 420
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 0.21,
|
| 307 |
+
"grad_norm": 0.26212435960769653,
|
| 308 |
+
"learning_rate": 2.135e-05,
|
| 309 |
+
"loss": 0.7824,
|
| 310 |
+
"step": 430
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 0.21,
|
| 314 |
+
"grad_norm": 0.3167509138584137,
|
| 315 |
+
"learning_rate": 2.1850000000000003e-05,
|
| 316 |
+
"loss": 0.7908,
|
| 317 |
+
"step": 440
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 0.22,
|
| 321 |
+
"grad_norm": 0.21845023334026337,
|
| 322 |
+
"learning_rate": 2.235e-05,
|
| 323 |
+
"loss": 0.7888,
|
| 324 |
+
"step": 450
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 0.22,
|
| 328 |
+
"grad_norm": 0.30318892002105713,
|
| 329 |
+
"learning_rate": 2.2850000000000003e-05,
|
| 330 |
+
"loss": 0.7682,
|
| 331 |
+
"step": 460
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 0.23,
|
| 335 |
+
"grad_norm": 0.28828638792037964,
|
| 336 |
+
"learning_rate": 2.3350000000000002e-05,
|
| 337 |
+
"loss": 0.7588,
|
| 338 |
+
"step": 470
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 0.23,
|
| 342 |
+
"grad_norm": 0.2422240674495697,
|
| 343 |
+
"learning_rate": 2.385e-05,
|
| 344 |
+
"loss": 0.7787,
|
| 345 |
+
"step": 480
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 0.24,
|
| 349 |
+
"grad_norm": 0.3579326272010803,
|
| 350 |
+
"learning_rate": 2.435e-05,
|
| 351 |
+
"loss": 0.7932,
|
| 352 |
+
"step": 490
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 0.24,
|
| 356 |
+
"grad_norm": 0.3549540042877197,
|
| 357 |
+
"learning_rate": 2.485e-05,
|
| 358 |
+
"loss": 0.7634,
|
| 359 |
+
"step": 500
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 0.24,
|
| 363 |
+
"eval_loss": 0.7744565606117249,
|
| 364 |
+
"eval_runtime": 43.9626,
|
| 365 |
+
"eval_samples_per_second": 45.493,
|
| 366 |
+
"eval_steps_per_second": 0.364,
|
| 367 |
+
"step": 500
|
| 368 |
+
},
|
| 369 |
+
{
|
| 370 |
+
"epoch": 0.25,
|
| 371 |
+
"grad_norm": 0.2931281328201294,
|
| 372 |
+
"learning_rate": 2.5350000000000003e-05,
|
| 373 |
+
"loss": 0.7763,
|
| 374 |
+
"step": 510
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 0.25,
|
| 378 |
+
"grad_norm": 0.21228083968162537,
|
| 379 |
+
"learning_rate": 2.585e-05,
|
| 380 |
+
"loss": 0.7748,
|
| 381 |
+
"step": 520
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 0.26,
|
| 385 |
+
"grad_norm": 0.26342302560806274,
|
| 386 |
+
"learning_rate": 2.6350000000000004e-05,
|
| 387 |
+
"loss": 0.789,
|
| 388 |
+
"step": 530
|
| 389 |
+
},
|
| 390 |
+
{
|
| 391 |
+
"epoch": 0.26,
|
| 392 |
+
"grad_norm": 0.2840302288532257,
|
| 393 |
+
"learning_rate": 2.6850000000000002e-05,
|
| 394 |
+
"loss": 0.768,
|
| 395 |
+
"step": 540
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 0.27,
|
| 399 |
+
"grad_norm": 0.273771196603775,
|
| 400 |
+
"learning_rate": 2.7350000000000004e-05,
|
| 401 |
+
"loss": 0.7707,
|
| 402 |
+
"step": 550
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 0.27,
|
| 406 |
+
"grad_norm": 1.6022837162017822,
|
| 407 |
+
"learning_rate": 2.7850000000000003e-05,
|
| 408 |
+
"loss": 0.7705,
|
| 409 |
+
"step": 560
|
| 410 |
+
},
|
| 411 |
+
{
|
| 412 |
+
"epoch": 0.28,
|
| 413 |
+
"grad_norm": 0.3082919716835022,
|
| 414 |
+
"learning_rate": 2.8349999999999998e-05,
|
| 415 |
+
"loss": 0.7849,
|
| 416 |
+
"step": 570
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 0.28,
|
| 420 |
+
"grad_norm": 0.25341132283210754,
|
| 421 |
+
"learning_rate": 2.885e-05,
|
| 422 |
+
"loss": 0.7658,
|
| 423 |
+
"step": 580
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 0.29,
|
| 427 |
+
"grad_norm": 0.2250708043575287,
|
| 428 |
+
"learning_rate": 2.935e-05,
|
| 429 |
+
"loss": 0.756,
|
| 430 |
+
"step": 590
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"epoch": 0.29,
|
| 434 |
+
"grad_norm": 0.23522531986236572,
|
| 435 |
+
"learning_rate": 2.985e-05,
|
| 436 |
+
"loss": 0.7692,
|
| 437 |
+
"step": 600
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 0.29,
|
| 441 |
+
"grad_norm": 0.2448827624320984,
|
| 442 |
+
"learning_rate": 3.035e-05,
|
| 443 |
+
"loss": 0.7635,
|
| 444 |
+
"step": 610
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 0.3,
|
| 448 |
+
"grad_norm": 0.19717586040496826,
|
| 449 |
+
"learning_rate": 3.0850000000000004e-05,
|
| 450 |
+
"loss": 0.7548,
|
| 451 |
+
"step": 620
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"epoch": 0.3,
|
| 455 |
+
"grad_norm": 0.24299098551273346,
|
| 456 |
+
"learning_rate": 3.135e-05,
|
| 457 |
+
"loss": 0.7673,
|
| 458 |
+
"step": 630
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 0.31,
|
| 462 |
+
"grad_norm": 0.2555953562259674,
|
| 463 |
+
"learning_rate": 3.185e-05,
|
| 464 |
+
"loss": 0.7528,
|
| 465 |
+
"step": 640
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 0.31,
|
| 469 |
+
"grad_norm": 0.2102127969264984,
|
| 470 |
+
"learning_rate": 3.235e-05,
|
| 471 |
+
"loss": 0.7678,
|
| 472 |
+
"step": 650
|
| 473 |
+
},
|
| 474 |
+
{
|
| 475 |
+
"epoch": 0.32,
|
| 476 |
+
"grad_norm": 0.21767646074295044,
|
| 477 |
+
"learning_rate": 3.2850000000000006e-05,
|
| 478 |
+
"loss": 0.7564,
|
| 479 |
+
"step": 660
|
| 480 |
+
},
|
| 481 |
+
{
|
| 482 |
+
"epoch": 0.32,
|
| 483 |
+
"grad_norm": 0.3582068085670471,
|
| 484 |
+
"learning_rate": 3.3350000000000004e-05,
|
| 485 |
+
"loss": 0.7645,
|
| 486 |
+
"step": 670
|
| 487 |
+
},
|
| 488 |
+
{
|
| 489 |
+
"epoch": 0.33,
|
| 490 |
+
"grad_norm": 0.27804431319236755,
|
| 491 |
+
"learning_rate": 3.385e-05,
|
| 492 |
+
"loss": 0.7645,
|
| 493 |
+
"step": 680
|
| 494 |
+
},
|
| 495 |
+
{
|
| 496 |
+
"epoch": 0.33,
|
| 497 |
+
"grad_norm": 0.2464047521352768,
|
| 498 |
+
"learning_rate": 3.435e-05,
|
| 499 |
+
"loss": 0.7325,
|
| 500 |
+
"step": 690
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 0.34,
|
| 504 |
+
"grad_norm": 0.22323842346668243,
|
| 505 |
+
"learning_rate": 3.485e-05,
|
| 506 |
+
"loss": 0.7579,
|
| 507 |
+
"step": 700
|
| 508 |
+
},
|
| 509 |
+
{
|
| 510 |
+
"epoch": 0.34,
|
| 511 |
+
"grad_norm": 0.28329703211784363,
|
| 512 |
+
"learning_rate": 3.535e-05,
|
| 513 |
+
"loss": 0.7399,
|
| 514 |
+
"step": 710
|
| 515 |
+
},
|
| 516 |
+
{
|
| 517 |
+
"epoch": 0.35,
|
| 518 |
+
"grad_norm": 0.2471865713596344,
|
| 519 |
+
"learning_rate": 3.585e-05,
|
| 520 |
+
"loss": 0.765,
|
| 521 |
+
"step": 720
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 0.35,
|
| 525 |
+
"grad_norm": 0.314908504486084,
|
| 526 |
+
"learning_rate": 3.635e-05,
|
| 527 |
+
"loss": 0.7529,
|
| 528 |
+
"step": 730
|
| 529 |
+
},
|
| 530 |
+
{
|
| 531 |
+
"epoch": 0.36,
|
| 532 |
+
"grad_norm": 0.21466995775699615,
|
| 533 |
+
"learning_rate": 3.685e-05,
|
| 534 |
+
"loss": 0.7365,
|
| 535 |
+
"step": 740
|
| 536 |
+
},
|
| 537 |
+
{
|
| 538 |
+
"epoch": 0.36,
|
| 539 |
+
"grad_norm": 0.2545580565929413,
|
| 540 |
+
"learning_rate": 3.735e-05,
|
| 541 |
+
"loss": 0.7458,
|
| 542 |
+
"step": 750
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"epoch": 0.37,
|
| 546 |
+
"grad_norm": 0.2651059329509735,
|
| 547 |
+
"learning_rate": 3.7850000000000005e-05,
|
| 548 |
+
"loss": 0.7578,
|
| 549 |
+
"step": 760
|
| 550 |
+
},
|
| 551 |
+
{
|
| 552 |
+
"epoch": 0.37,
|
| 553 |
+
"grad_norm": 0.2408379763364792,
|
| 554 |
+
"learning_rate": 3.8350000000000004e-05,
|
| 555 |
+
"loss": 0.7283,
|
| 556 |
+
"step": 770
|
| 557 |
+
},
|
| 558 |
+
{
|
| 559 |
+
"epoch": 0.38,
|
| 560 |
+
"grad_norm": 0.2575875520706177,
|
| 561 |
+
"learning_rate": 3.885e-05,
|
| 562 |
+
"loss": 0.7367,
|
| 563 |
+
"step": 780
|
| 564 |
+
},
|
| 565 |
+
{
|
| 566 |
+
"epoch": 0.38,
|
| 567 |
+
"grad_norm": 0.28182050585746765,
|
| 568 |
+
"learning_rate": 3.935e-05,
|
| 569 |
+
"loss": 0.7784,
|
| 570 |
+
"step": 790
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 0.39,
|
| 574 |
+
"grad_norm": 0.20579397678375244,
|
| 575 |
+
"learning_rate": 3.9850000000000006e-05,
|
| 576 |
+
"loss": 0.7533,
|
| 577 |
+
"step": 800
|
| 578 |
+
},
|
| 579 |
+
{
|
| 580 |
+
"epoch": 0.39,
|
| 581 |
+
"grad_norm": 0.1906532198190689,
|
| 582 |
+
"learning_rate": 4.0350000000000005e-05,
|
| 583 |
+
"loss": 0.7544,
|
| 584 |
+
"step": 810
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 0.4,
|
| 588 |
+
"grad_norm": 0.18311142921447754,
|
| 589 |
+
"learning_rate": 4.085e-05,
|
| 590 |
+
"loss": 0.75,
|
| 591 |
+
"step": 820
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 0.4,
|
| 595 |
+
"grad_norm": 0.1910839080810547,
|
| 596 |
+
"learning_rate": 4.135e-05,
|
| 597 |
+
"loss": 0.7538,
|
| 598 |
+
"step": 830
|
| 599 |
+
},
|
| 600 |
+
{
|
| 601 |
+
"epoch": 0.41,
|
| 602 |
+
"grad_norm": 0.2178005427122116,
|
| 603 |
+
"learning_rate": 4.185e-05,
|
| 604 |
+
"loss": 0.7456,
|
| 605 |
+
"step": 840
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 0.41,
|
| 609 |
+
"grad_norm": 0.27642378211021423,
|
| 610 |
+
"learning_rate": 4.235e-05,
|
| 611 |
+
"loss": 0.744,
|
| 612 |
+
"step": 850
|
| 613 |
+
},
|
| 614 |
+
{
|
| 615 |
+
"epoch": 0.42,
|
| 616 |
+
"grad_norm": 0.26685312390327454,
|
| 617 |
+
"learning_rate": 4.285e-05,
|
| 618 |
+
"loss": 0.7611,
|
| 619 |
+
"step": 860
|
| 620 |
+
},
|
| 621 |
+
{
|
| 622 |
+
"epoch": 0.42,
|
| 623 |
+
"grad_norm": 0.2021845579147339,
|
| 624 |
+
"learning_rate": 4.335e-05,
|
| 625 |
+
"loss": 0.758,
|
| 626 |
+
"step": 870
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 0.43,
|
| 630 |
+
"grad_norm": 0.20516808331012726,
|
| 631 |
+
"learning_rate": 4.385e-05,
|
| 632 |
+
"loss": 0.7404,
|
| 633 |
+
"step": 880
|
| 634 |
+
},
|
| 635 |
+
{
|
| 636 |
+
"epoch": 0.43,
|
| 637 |
+
"grad_norm": 0.20619668066501617,
|
| 638 |
+
"learning_rate": 4.435e-05,
|
| 639 |
+
"loss": 0.7379,
|
| 640 |
+
"step": 890
|
| 641 |
+
},
|
| 642 |
+
{
|
| 643 |
+
"epoch": 0.43,
|
| 644 |
+
"grad_norm": 0.22439967095851898,
|
| 645 |
+
"learning_rate": 4.4850000000000006e-05,
|
| 646 |
+
"loss": 0.7495,
|
| 647 |
+
"step": 900
|
| 648 |
+
},
|
| 649 |
+
{
|
| 650 |
+
"epoch": 0.44,
|
| 651 |
+
"grad_norm": 0.2192295491695404,
|
| 652 |
+
"learning_rate": 4.5350000000000005e-05,
|
| 653 |
+
"loss": 0.7377,
|
| 654 |
+
"step": 910
|
| 655 |
+
},
|
| 656 |
+
{
|
| 657 |
+
"epoch": 0.44,
|
| 658 |
+
"grad_norm": 0.26503369212150574,
|
| 659 |
+
"learning_rate": 4.585e-05,
|
| 660 |
+
"loss": 0.7481,
|
| 661 |
+
"step": 920
|
| 662 |
+
},
|
| 663 |
+
{
|
| 664 |
+
"epoch": 0.45,
|
| 665 |
+
"grad_norm": 0.2249353975057602,
|
| 666 |
+
"learning_rate": 4.635e-05,
|
| 667 |
+
"loss": 0.742,
|
| 668 |
+
"step": 930
|
| 669 |
+
},
|
| 670 |
+
{
|
| 671 |
+
"epoch": 0.45,
|
| 672 |
+
"grad_norm": 0.21413160860538483,
|
| 673 |
+
"learning_rate": 4.685000000000001e-05,
|
| 674 |
+
"loss": 0.7485,
|
| 675 |
+
"step": 940
|
| 676 |
+
},
|
| 677 |
+
{
|
| 678 |
+
"epoch": 0.46,
|
| 679 |
+
"grad_norm": 0.20971478521823883,
|
| 680 |
+
"learning_rate": 4.735e-05,
|
| 681 |
+
"loss": 0.7339,
|
| 682 |
+
"step": 950
|
| 683 |
+
},
|
| 684 |
+
{
|
| 685 |
+
"epoch": 0.46,
|
| 686 |
+
"grad_norm": 0.20295798778533936,
|
| 687 |
+
"learning_rate": 4.785e-05,
|
| 688 |
+
"loss": 0.722,
|
| 689 |
+
"step": 960
|
| 690 |
+
},
|
| 691 |
+
{
|
| 692 |
+
"epoch": 0.47,
|
| 693 |
+
"grad_norm": 0.1957596242427826,
|
| 694 |
+
"learning_rate": 4.835e-05,
|
| 695 |
+
"loss": 0.7538,
|
| 696 |
+
"step": 970
|
| 697 |
+
},
|
| 698 |
+
{
|
| 699 |
+
"epoch": 0.47,
|
| 700 |
+
"grad_norm": 0.18014560639858246,
|
| 701 |
+
"learning_rate": 4.885e-05,
|
| 702 |
+
"loss": 0.7251,
|
| 703 |
+
"step": 980
|
| 704 |
+
},
|
| 705 |
+
{
|
| 706 |
+
"epoch": 0.48,
|
| 707 |
+
"grad_norm": 0.19334861636161804,
|
| 708 |
+
"learning_rate": 4.935e-05,
|
| 709 |
+
"loss": 0.7444,
|
| 710 |
+
"step": 990
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"epoch": 0.48,
|
| 714 |
+
"grad_norm": 0.1753440499305725,
|
| 715 |
+
"learning_rate": 4.9850000000000006e-05,
|
| 716 |
+
"loss": 0.7376,
|
| 717 |
+
"step": 1000
|
| 718 |
+
},
|
| 719 |
+
{
|
| 720 |
+
"epoch": 0.48,
|
| 721 |
+
"eval_loss": 0.73988938331604,
|
| 722 |
+
"eval_runtime": 42.9535,
|
| 723 |
+
"eval_samples_per_second": 46.562,
|
| 724 |
+
"eval_steps_per_second": 0.372,
|
| 725 |
+
"step": 1000
|
| 726 |
+
},
|
| 727 |
+
{
|
| 728 |
+
"epoch": 0.49,
|
| 729 |
+
"grad_norm": 0.24455028772354126,
|
| 730 |
+
"learning_rate": 4.99999307775404e-05,
|
| 731 |
+
"loss": 0.7404,
|
| 732 |
+
"step": 1010
|
| 733 |
+
},
|
| 734 |
+
{
|
| 735 |
+
"epoch": 0.49,
|
| 736 |
+
"grad_norm": 0.2149570733308792,
|
| 737 |
+
"learning_rate": 4.999959172968145e-05,
|
| 738 |
+
"loss": 0.7342,
|
| 739 |
+
"step": 1020
|
| 740 |
+
},
|
| 741 |
+
{
|
| 742 |
+
"epoch": 0.5,
|
| 743 |
+
"grad_norm": 0.1931283175945282,
|
| 744 |
+
"learning_rate": 4.999897014592085e-05,
|
| 745 |
+
"loss": 0.735,
|
| 746 |
+
"step": 1030
|
| 747 |
+
},
|
| 748 |
+
{
|
| 749 |
+
"epoch": 0.5,
|
| 750 |
+
"grad_norm": 0.2331906110048294,
|
| 751 |
+
"learning_rate": 4.999806603328352e-05,
|
| 752 |
+
"loss": 0.7145,
|
| 753 |
+
"step": 1040
|
| 754 |
+
},
|
| 755 |
+
{
|
| 756 |
+
"epoch": 0.51,
|
| 757 |
+
"grad_norm": 0.21177324652671814,
|
| 758 |
+
"learning_rate": 4.999687940198738e-05,
|
| 759 |
+
"loss": 0.7308,
|
| 760 |
+
"step": 1050
|
| 761 |
+
},
|
| 762 |
+
{
|
| 763 |
+
"epoch": 0.51,
|
| 764 |
+
"grad_norm": 0.2026621401309967,
|
| 765 |
+
"learning_rate": 4.9995410265443286e-05,
|
| 766 |
+
"loss": 0.7445,
|
| 767 |
+
"step": 1060
|
| 768 |
+
},
|
| 769 |
+
{
|
| 770 |
+
"epoch": 0.52,
|
| 771 |
+
"grad_norm": 0.19811251759529114,
|
| 772 |
+
"learning_rate": 4.999365864025487e-05,
|
| 773 |
+
"loss": 0.738,
|
| 774 |
+
"step": 1070
|
| 775 |
+
},
|
| 776 |
+
{
|
| 777 |
+
"epoch": 0.52,
|
| 778 |
+
"grad_norm": 0.1981566846370697,
|
| 779 |
+
"learning_rate": 4.9991624546218334e-05,
|
| 780 |
+
"loss": 0.7286,
|
| 781 |
+
"step": 1080
|
| 782 |
+
},
|
| 783 |
+
{
|
| 784 |
+
"epoch": 0.53,
|
| 785 |
+
"grad_norm": 0.17122291028499603,
|
| 786 |
+
"learning_rate": 4.9989308006322235e-05,
|
| 787 |
+
"loss": 0.737,
|
| 788 |
+
"step": 1090
|
| 789 |
+
},
|
| 790 |
+
{
|
| 791 |
+
"epoch": 0.53,
|
| 792 |
+
"grad_norm": 0.2182038575410843,
|
| 793 |
+
"learning_rate": 4.9986709046747225e-05,
|
| 794 |
+
"loss": 0.7354,
|
| 795 |
+
"step": 1100
|
| 796 |
+
},
|
| 797 |
+
{
|
| 798 |
+
"epoch": 0.54,
|
| 799 |
+
"grad_norm": 0.1823730617761612,
|
| 800 |
+
"learning_rate": 4.9983827696865764e-05,
|
| 801 |
+
"loss": 0.725,
|
| 802 |
+
"step": 1110
|
| 803 |
+
},
|
| 804 |
+
{
|
| 805 |
+
"epoch": 0.54,
|
| 806 |
+
"grad_norm": 0.2195768803358078,
|
| 807 |
+
"learning_rate": 4.998066398924177e-05,
|
| 808 |
+
"loss": 0.7173,
|
| 809 |
+
"step": 1120
|
| 810 |
+
},
|
| 811 |
+
{
|
| 812 |
+
"epoch": 0.55,
|
| 813 |
+
"grad_norm": 0.18349726498126984,
|
| 814 |
+
"learning_rate": 4.997721795963028e-05,
|
| 815 |
+
"loss": 0.7159,
|
| 816 |
+
"step": 1130
|
| 817 |
+
},
|
| 818 |
+
{
|
| 819 |
+
"epoch": 0.55,
|
| 820 |
+
"grad_norm": 0.2440386265516281,
|
| 821 |
+
"learning_rate": 4.997348964697699e-05,
|
| 822 |
+
"loss": 0.7171,
|
| 823 |
+
"step": 1140
|
| 824 |
+
},
|
| 825 |
+
{
|
| 826 |
+
"epoch": 0.56,
|
| 827 |
+
"grad_norm": 0.20371629297733307,
|
| 828 |
+
"learning_rate": 4.9969479093417894e-05,
|
| 829 |
+
"loss": 0.7179,
|
| 830 |
+
"step": 1150
|
| 831 |
+
},
|
| 832 |
+
{
|
| 833 |
+
"epoch": 0.56,
|
| 834 |
+
"grad_norm": 0.2982828617095947,
|
| 835 |
+
"learning_rate": 4.9965186344278746e-05,
|
| 836 |
+
"loss": 0.7222,
|
| 837 |
+
"step": 1160
|
| 838 |
+
},
|
| 839 |
+
{
|
| 840 |
+
"epoch": 0.57,
|
| 841 |
+
"grad_norm": 0.2097097784280777,
|
| 842 |
+
"learning_rate": 4.9960611448074555e-05,
|
| 843 |
+
"loss": 0.7174,
|
| 844 |
+
"step": 1170
|
| 845 |
+
},
|
| 846 |
+
{
|
| 847 |
+
"epoch": 0.57,
|
| 848 |
+
"grad_norm": 0.2264368236064911,
|
| 849 |
+
"learning_rate": 4.995575445650907e-05,
|
| 850 |
+
"loss": 0.7079,
|
| 851 |
+
"step": 1180
|
| 852 |
+
},
|
| 853 |
+
{
|
| 854 |
+
"epoch": 0.58,
|
| 855 |
+
"grad_norm": 0.24737605452537537,
|
| 856 |
+
"learning_rate": 4.995061542447418e-05,
|
| 857 |
+
"loss": 0.7272,
|
| 858 |
+
"step": 1190
|
| 859 |
+
},
|
| 860 |
+
{
|
| 861 |
+
"epoch": 0.58,
|
| 862 |
+
"grad_norm": 0.19530241191387177,
|
| 863 |
+
"learning_rate": 4.9945194410049254e-05,
|
| 864 |
+
"loss": 0.7216,
|
| 865 |
+
"step": 1200
|
| 866 |
+
},
|
| 867 |
+
{
|
| 868 |
+
"epoch": 0.58,
|
| 869 |
+
"grad_norm": 0.2791181802749634,
|
| 870 |
+
"learning_rate": 4.993949147450055e-05,
|
| 871 |
+
"loss": 0.712,
|
| 872 |
+
"step": 1210
|
| 873 |
+
},
|
| 874 |
+
{
|
| 875 |
+
"epoch": 0.59,
|
| 876 |
+
"grad_norm": 0.2095661610364914,
|
| 877 |
+
"learning_rate": 4.993350668228049e-05,
|
| 878 |
+
"loss": 0.7067,
|
| 879 |
+
"step": 1220
|
| 880 |
+
},
|
| 881 |
+
{
|
| 882 |
+
"epoch": 0.59,
|
| 883 |
+
"grad_norm": 0.17129307985305786,
|
| 884 |
+
"learning_rate": 4.9927240101026915e-05,
|
| 885 |
+
"loss": 0.7087,
|
| 886 |
+
"step": 1230
|
| 887 |
+
},
|
| 888 |
+
{
|
| 889 |
+
"epoch": 0.6,
|
| 890 |
+
"grad_norm": 0.2154540866613388,
|
| 891 |
+
"learning_rate": 4.992069180156235e-05,
|
| 892 |
+
"loss": 0.7411,
|
| 893 |
+
"step": 1240
|
| 894 |
+
},
|
| 895 |
+
{
|
| 896 |
+
"epoch": 0.6,
|
| 897 |
+
"grad_norm": 0.22642803192138672,
|
| 898 |
+
"learning_rate": 4.991386185789319e-05,
|
| 899 |
+
"loss": 0.7266,
|
| 900 |
+
"step": 1250
|
| 901 |
+
},
|
| 902 |
+
{
|
| 903 |
+
"epoch": 0.61,
|
| 904 |
+
"grad_norm": 0.19676081836223602,
|
| 905 |
+
"learning_rate": 4.9906750347208866e-05,
|
| 906 |
+
"loss": 0.7012,
|
| 907 |
+
"step": 1260
|
| 908 |
+
},
|
| 909 |
+
{
|
| 910 |
+
"epoch": 0.61,
|
| 911 |
+
"grad_norm": 0.2095811814069748,
|
| 912 |
+
"learning_rate": 4.989935734988098e-05,
|
| 913 |
+
"loss": 0.7162,
|
| 914 |
+
"step": 1270
|
| 915 |
+
},
|
| 916 |
+
{
|
| 917 |
+
"epoch": 0.62,
|
| 918 |
+
"grad_norm": 0.21455398201942444,
|
| 919 |
+
"learning_rate": 4.9891682949462385e-05,
|
| 920 |
+
"loss": 0.7177,
|
| 921 |
+
"step": 1280
|
| 922 |
+
},
|
| 923 |
+
{
|
| 924 |
+
"epoch": 0.62,
|
| 925 |
+
"grad_norm": 0.20205985009670258,
|
| 926 |
+
"learning_rate": 4.988372723268623e-05,
|
| 927 |
+
"loss": 0.718,
|
| 928 |
+
"step": 1290
|
| 929 |
+
},
|
| 930 |
+
{
|
| 931 |
+
"epoch": 0.63,
|
| 932 |
+
"grad_norm": 0.18780440092086792,
|
| 933 |
+
"learning_rate": 4.987549028946502e-05,
|
| 934 |
+
"loss": 0.7103,
|
| 935 |
+
"step": 1300
|
| 936 |
+
},
|
| 937 |
+
{
|
| 938 |
+
"epoch": 0.63,
|
| 939 |
+
"grad_norm": 0.20362792909145355,
|
| 940 |
+
"learning_rate": 4.986697221288956e-05,
|
| 941 |
+
"loss": 0.7304,
|
| 942 |
+
"step": 1310
|
| 943 |
+
},
|
| 944 |
+
{
|
| 945 |
+
"epoch": 0.64,
|
| 946 |
+
"grad_norm": 0.2820493280887604,
|
| 947 |
+
"learning_rate": 4.985817309922792e-05,
|
| 948 |
+
"loss": 0.7182,
|
| 949 |
+
"step": 1320
|
| 950 |
+
},
|
| 951 |
+
{
|
| 952 |
+
"epoch": 0.64,
|
| 953 |
+
"grad_norm": 0.20787598192691803,
|
| 954 |
+
"learning_rate": 4.984909304792435e-05,
|
| 955 |
+
"loss": 0.7142,
|
| 956 |
+
"step": 1330
|
| 957 |
+
},
|
| 958 |
+
{
|
| 959 |
+
"epoch": 0.65,
|
| 960 |
+
"grad_norm": 0.21624509990215302,
|
| 961 |
+
"learning_rate": 4.983973216159813e-05,
|
| 962 |
+
"loss": 0.7208,
|
| 963 |
+
"step": 1340
|
| 964 |
+
},
|
| 965 |
+
{
|
| 966 |
+
"epoch": 0.65,
|
| 967 |
+
"grad_norm": 0.19343602657318115,
|
| 968 |
+
"learning_rate": 4.983009054604246e-05,
|
| 969 |
+
"loss": 0.7097,
|
| 970 |
+
"step": 1350
|
| 971 |
+
},
|
| 972 |
+
{
|
| 973 |
+
"epoch": 0.66,
|
| 974 |
+
"grad_norm": 0.254402756690979,
|
| 975 |
+
"learning_rate": 4.9820168310223215e-05,
|
| 976 |
+
"loss": 0.7193,
|
| 977 |
+
"step": 1360
|
| 978 |
+
},
|
| 979 |
+
{
|
| 980 |
+
"epoch": 0.66,
|
| 981 |
+
"grad_norm": 0.1940561830997467,
|
| 982 |
+
"learning_rate": 4.980996556627774e-05,
|
| 983 |
+
"loss": 0.6988,
|
| 984 |
+
"step": 1370
|
| 985 |
+
},
|
| 986 |
+
{
|
| 987 |
+
"epoch": 0.67,
|
| 988 |
+
"grad_norm": 0.22593462467193604,
|
| 989 |
+
"learning_rate": 4.9799482429513576e-05,
|
| 990 |
+
"loss": 0.7054,
|
| 991 |
+
"step": 1380
|
| 992 |
+
},
|
| 993 |
+
{
|
| 994 |
+
"epoch": 0.67,
|
| 995 |
+
"grad_norm": 0.22020135819911957,
|
| 996 |
+
"learning_rate": 4.978871901840716e-05,
|
| 997 |
+
"loss": 0.7221,
|
| 998 |
+
"step": 1390
|
| 999 |
+
},
|
| 1000 |
+
{
|
| 1001 |
+
"epoch": 0.68,
|
| 1002 |
+
"grad_norm": 0.22807644307613373,
|
| 1003 |
+
"learning_rate": 4.977767545460248e-05,
|
| 1004 |
+
"loss": 0.7213,
|
| 1005 |
+
"step": 1400
|
| 1006 |
+
},
|
| 1007 |
+
{
|
| 1008 |
+
"epoch": 0.68,
|
| 1009 |
+
"grad_norm": 0.1925562173128128,
|
| 1010 |
+
"learning_rate": 4.9766351862909703e-05,
|
| 1011 |
+
"loss": 0.7127,
|
| 1012 |
+
"step": 1410
|
| 1013 |
+
},
|
| 1014 |
+
{
|
| 1015 |
+
"epoch": 0.69,
|
| 1016 |
+
"grad_norm": 0.20845136046409607,
|
| 1017 |
+
"learning_rate": 4.9754748371303775e-05,
|
| 1018 |
+
"loss": 0.7207,
|
| 1019 |
+
"step": 1420
|
| 1020 |
+
},
|
| 1021 |
+
{
|
| 1022 |
+
"epoch": 0.69,
|
| 1023 |
+
"grad_norm": 0.18583528697490692,
|
| 1024 |
+
"learning_rate": 4.974286511092294e-05,
|
| 1025 |
+
"loss": 0.7098,
|
| 1026 |
+
"step": 1430
|
| 1027 |
+
},
|
| 1028 |
+
{
|
| 1029 |
+
"epoch": 0.7,
|
| 1030 |
+
"grad_norm": 0.2019319236278534,
|
| 1031 |
+
"learning_rate": 4.973070221606732e-05,
|
| 1032 |
+
"loss": 0.7029,
|
| 1033 |
+
"step": 1440
|
| 1034 |
+
},
|
| 1035 |
+
{
|
| 1036 |
+
"epoch": 0.7,
|
| 1037 |
+
"grad_norm": 0.1966458261013031,
|
| 1038 |
+
"learning_rate": 4.971825982419731e-05,
|
| 1039 |
+
"loss": 0.7241,
|
| 1040 |
+
"step": 1450
|
| 1041 |
+
},
|
| 1042 |
+
{
|
| 1043 |
+
"epoch": 0.71,
|
| 1044 |
+
"grad_norm": 0.20924623310565948,
|
| 1045 |
+
"learning_rate": 4.970553807593214e-05,
|
| 1046 |
+
"loss": 0.7126,
|
| 1047 |
+
"step": 1460
|
| 1048 |
+
},
|
| 1049 |
+
{
|
| 1050 |
+
"epoch": 0.71,
|
| 1051 |
+
"grad_norm": 0.20655803382396698,
|
| 1052 |
+
"learning_rate": 4.969253711504814e-05,
|
| 1053 |
+
"loss": 0.6903,
|
| 1054 |
+
"step": 1470
|
| 1055 |
+
},
|
| 1056 |
+
{
|
| 1057 |
+
"epoch": 0.72,
|
| 1058 |
+
"grad_norm": 0.2179209142923355,
|
| 1059 |
+
"learning_rate": 4.967925708847727e-05,
|
| 1060 |
+
"loss": 0.683,
|
| 1061 |
+
"step": 1480
|
| 1062 |
+
},
|
| 1063 |
+
{
|
| 1064 |
+
"epoch": 0.72,
|
| 1065 |
+
"grad_norm": 0.2198410928249359,
|
| 1066 |
+
"learning_rate": 4.966569814630534e-05,
|
| 1067 |
+
"loss": 0.7087,
|
| 1068 |
+
"step": 1490
|
| 1069 |
+
},
|
| 1070 |
+
{
|
| 1071 |
+
"epoch": 0.72,
|
| 1072 |
+
"grad_norm": 0.17970815300941467,
|
| 1073 |
+
"learning_rate": 4.9651860441770374e-05,
|
| 1074 |
+
"loss": 0.7006,
|
| 1075 |
+
"step": 1500
|
| 1076 |
+
},
|
| 1077 |
+
{
|
| 1078 |
+
"epoch": 0.72,
|
| 1079 |
+
"eval_loss": 0.7137542366981506,
|
| 1080 |
+
"eval_runtime": 43.0052,
|
| 1081 |
+
"eval_samples_per_second": 46.506,
|
| 1082 |
+
"eval_steps_per_second": 0.372,
|
| 1083 |
+
"step": 1500
|
| 1084 |
+
},
|
| 1085 |
+
{
|
| 1086 |
+
"epoch": 0.73,
|
| 1087 |
+
"grad_norm": 0.1931023746728897,
|
| 1088 |
+
"learning_rate": 4.963774413126086e-05,
|
| 1089 |
+
"loss": 0.7245,
|
| 1090 |
+
"step": 1510
|
| 1091 |
+
},
|
| 1092 |
+
{
|
| 1093 |
+
"epoch": 0.73,
|
| 1094 |
+
"grad_norm": 0.21812495589256287,
|
| 1095 |
+
"learning_rate": 4.9623349374313973e-05,
|
| 1096 |
+
"loss": 0.7119,
|
| 1097 |
+
"step": 1520
|
| 1098 |
+
},
|
| 1099 |
+
{
|
| 1100 |
+
"epoch": 0.74,
|
| 1101 |
+
"grad_norm": 0.20784322917461395,
|
| 1102 |
+
"learning_rate": 4.960867633361381e-05,
|
| 1103 |
+
"loss": 0.704,
|
| 1104 |
+
"step": 1530
|
| 1105 |
+
},
|
| 1106 |
+
{
|
| 1107 |
+
"epoch": 0.74,
|
| 1108 |
+
"grad_norm": 0.18697650730609894,
|
| 1109 |
+
"learning_rate": 4.9593725174989507e-05,
|
| 1110 |
+
"loss": 0.7129,
|
| 1111 |
+
"step": 1540
|
| 1112 |
+
},
|
| 1113 |
+
{
|
| 1114 |
+
"epoch": 0.75,
|
| 1115 |
+
"grad_norm": 0.25061744451522827,
|
| 1116 |
+
"learning_rate": 4.957849606741338e-05,
|
| 1117 |
+
"loss": 0.6816,
|
| 1118 |
+
"step": 1550
|
| 1119 |
+
},
|
| 1120 |
+
{
|
| 1121 |
+
"epoch": 0.75,
|
| 1122 |
+
"grad_norm": 0.1888163685798645,
|
| 1123 |
+
"learning_rate": 4.956298918299903e-05,
|
| 1124 |
+
"loss": 0.6905,
|
| 1125 |
+
"step": 1560
|
| 1126 |
+
},
|
| 1127 |
+
{
|
| 1128 |
+
"epoch": 0.76,
|
| 1129 |
+
"grad_norm": 0.1991235315799713,
|
| 1130 |
+
"learning_rate": 4.954720469699938e-05,
|
| 1131 |
+
"loss": 0.7258,
|
| 1132 |
+
"step": 1570
|
| 1133 |
+
},
|
| 1134 |
+
{
|
| 1135 |
+
"epoch": 0.76,
|
| 1136 |
+
"grad_norm": 0.18779252469539642,
|
| 1137 |
+
"learning_rate": 4.953114278780471e-05,
|
| 1138 |
+
"loss": 0.6918,
|
| 1139 |
+
"step": 1580
|
| 1140 |
+
},
|
| 1141 |
+
{
|
| 1142 |
+
"epoch": 0.77,
|
| 1143 |
+
"grad_norm": 0.21268677711486816,
|
| 1144 |
+
"learning_rate": 4.951480363694061e-05,
|
| 1145 |
+
"loss": 0.6995,
|
| 1146 |
+
"step": 1590
|
| 1147 |
+
},
|
| 1148 |
+
{
|
| 1149 |
+
"epoch": 0.77,
|
| 1150 |
+
"grad_norm": 0.20242677628993988,
|
| 1151 |
+
"learning_rate": 4.949818742906597e-05,
|
| 1152 |
+
"loss": 0.7132,
|
| 1153 |
+
"step": 1600
|
| 1154 |
+
},
|
| 1155 |
+
{
|
| 1156 |
+
"epoch": 0.78,
|
| 1157 |
+
"grad_norm": 0.2314455509185791,
|
| 1158 |
+
"learning_rate": 4.9481294351970874e-05,
|
| 1159 |
+
"loss": 0.6866,
|
| 1160 |
+
"step": 1610
|
| 1161 |
+
},
|
| 1162 |
+
{
|
| 1163 |
+
"epoch": 0.78,
|
| 1164 |
+
"grad_norm": 0.19638539850711823,
|
| 1165 |
+
"learning_rate": 4.9464124596574465e-05,
|
| 1166 |
+
"loss": 0.6993,
|
| 1167 |
+
"step": 1620
|
| 1168 |
+
},
|
| 1169 |
+
{
|
| 1170 |
+
"epoch": 0.79,
|
| 1171 |
+
"grad_norm": 0.185603529214859,
|
| 1172 |
+
"learning_rate": 4.944667835692281e-05,
|
| 1173 |
+
"loss": 0.6971,
|
| 1174 |
+
"step": 1630
|
| 1175 |
+
},
|
| 1176 |
+
{
|
| 1177 |
+
"epoch": 0.79,
|
| 1178 |
+
"grad_norm": 0.1594298928976059,
|
| 1179 |
+
"learning_rate": 4.942895583018669e-05,
|
| 1180 |
+
"loss": 0.7258,
|
| 1181 |
+
"step": 1640
|
| 1182 |
+
},
|
| 1183 |
+
{
|
| 1184 |
+
"epoch": 0.8,
|
| 1185 |
+
"grad_norm": 0.21844029426574707,
|
| 1186 |
+
"learning_rate": 4.9410957216659374e-05,
|
| 1187 |
+
"loss": 0.7022,
|
| 1188 |
+
"step": 1650
|
| 1189 |
+
},
|
| 1190 |
+
{
|
| 1191 |
+
"epoch": 0.8,
|
| 1192 |
+
"grad_norm": 0.19146642088890076,
|
| 1193 |
+
"learning_rate": 4.9392682719754364e-05,
|
| 1194 |
+
"loss": 0.6954,
|
| 1195 |
+
"step": 1660
|
| 1196 |
+
},
|
| 1197 |
+
{
|
| 1198 |
+
"epoch": 0.81,
|
| 1199 |
+
"grad_norm": 0.20112347602844238,
|
| 1200 |
+
"learning_rate": 4.9374132546003096e-05,
|
| 1201 |
+
"loss": 0.7017,
|
| 1202 |
+
"step": 1670
|
| 1203 |
+
},
|
| 1204 |
+
{
|
| 1205 |
+
"epoch": 0.81,
|
| 1206 |
+
"grad_norm": 0.22593769431114197,
|
| 1207 |
+
"learning_rate": 4.935530690505259e-05,
|
| 1208 |
+
"loss": 0.7397,
|
| 1209 |
+
"step": 1680
|
| 1210 |
+
},
|
| 1211 |
+
{
|
| 1212 |
+
"epoch": 0.82,
|
| 1213 |
+
"grad_norm": 0.2611504793167114,
|
| 1214 |
+
"learning_rate": 4.933620600966311e-05,
|
| 1215 |
+
"loss": 0.7048,
|
| 1216 |
+
"step": 1690
|
| 1217 |
+
},
|
| 1218 |
+
{
|
| 1219 |
+
"epoch": 0.82,
|
| 1220 |
+
"grad_norm": 0.23995471000671387,
|
| 1221 |
+
"learning_rate": 4.931683007570571e-05,
|
| 1222 |
+
"loss": 0.709,
|
| 1223 |
+
"step": 1700
|
| 1224 |
+
},
|
| 1225 |
+
{
|
| 1226 |
+
"epoch": 0.83,
|
| 1227 |
+
"grad_norm": 0.22278735041618347,
|
| 1228 |
+
"learning_rate": 4.9297179322159856e-05,
|
| 1229 |
+
"loss": 0.7116,
|
| 1230 |
+
"step": 1710
|
| 1231 |
+
},
|
| 1232 |
+
{
|
| 1233 |
+
"epoch": 0.83,
|
| 1234 |
+
"grad_norm": 0.2096502035856247,
|
| 1235 |
+
"learning_rate": 4.927725397111093e-05,
|
| 1236 |
+
"loss": 0.7061,
|
| 1237 |
+
"step": 1720
|
| 1238 |
+
},
|
| 1239 |
+
{
|
| 1240 |
+
"epoch": 0.84,
|
| 1241 |
+
"grad_norm": 0.22335517406463623,
|
| 1242 |
+
"learning_rate": 4.9257054247747644e-05,
|
| 1243 |
+
"loss": 0.6982,
|
| 1244 |
+
"step": 1730
|
| 1245 |
+
},
|
| 1246 |
+
{
|
| 1247 |
+
"epoch": 0.84,
|
| 1248 |
+
"grad_norm": 0.18597687780857086,
|
| 1249 |
+
"learning_rate": 4.923658038035965e-05,
|
| 1250 |
+
"loss": 0.6927,
|
| 1251 |
+
"step": 1740
|
| 1252 |
+
},
|
| 1253 |
+
{
|
| 1254 |
+
"epoch": 0.85,
|
| 1255 |
+
"grad_norm": 0.1971946507692337,
|
| 1256 |
+
"learning_rate": 4.9215832600334816e-05,
|
| 1257 |
+
"loss": 0.6768,
|
| 1258 |
+
"step": 1750
|
| 1259 |
+
},
|
| 1260 |
+
{
|
| 1261 |
+
"epoch": 0.85,
|
| 1262 |
+
"grad_norm": 0.2101408839225769,
|
| 1263 |
+
"learning_rate": 4.9194811142156674e-05,
|
| 1264 |
+
"loss": 0.6933,
|
| 1265 |
+
"step": 1760
|
| 1266 |
+
},
|
| 1267 |
+
{
|
| 1268 |
+
"epoch": 0.86,
|
| 1269 |
+
"grad_norm": 0.17352430522441864,
|
| 1270 |
+
"learning_rate": 4.917351624340178e-05,
|
| 1271 |
+
"loss": 0.6918,
|
| 1272 |
+
"step": 1770
|
| 1273 |
+
},
|
| 1274 |
+
{
|
| 1275 |
+
"epoch": 0.86,
|
| 1276 |
+
"grad_norm": 0.18568973243236542,
|
| 1277 |
+
"learning_rate": 4.915194814473699e-05,
|
| 1278 |
+
"loss": 0.6711,
|
| 1279 |
+
"step": 1780
|
| 1280 |
+
},
|
| 1281 |
+
{
|
| 1282 |
+
"epoch": 0.87,
|
| 1283 |
+
"grad_norm": 0.22991472482681274,
|
| 1284 |
+
"learning_rate": 4.913010708991679e-05,
|
| 1285 |
+
"loss": 0.6938,
|
| 1286 |
+
"step": 1790
|
| 1287 |
+
},
|
| 1288 |
+
{
|
| 1289 |
+
"epoch": 0.87,
|
| 1290 |
+
"grad_norm": 0.201872780919075,
|
| 1291 |
+
"learning_rate": 4.910799332578048e-05,
|
| 1292 |
+
"loss": 0.7051,
|
| 1293 |
+
"step": 1800
|
| 1294 |
+
},
|
| 1295 |
+
{
|
| 1296 |
+
"epoch": 0.87,
|
| 1297 |
+
"grad_norm": 0.2069864720106125,
|
| 1298 |
+
"learning_rate": 4.908560710224943e-05,
|
| 1299 |
+
"loss": 0.6983,
|
| 1300 |
+
"step": 1810
|
| 1301 |
+
},
|
| 1302 |
+
{
|
| 1303 |
+
"epoch": 0.88,
|
| 1304 |
+
"grad_norm": 0.2075955718755722,
|
| 1305 |
+
"learning_rate": 4.906294867232426e-05,
|
| 1306 |
+
"loss": 0.6996,
|
| 1307 |
+
"step": 1820
|
| 1308 |
+
},
|
| 1309 |
+
{
|
| 1310 |
+
"epoch": 0.88,
|
| 1311 |
+
"grad_norm": 0.19524317979812622,
|
| 1312 |
+
"learning_rate": 4.904001829208194e-05,
|
| 1313 |
+
"loss": 0.691,
|
| 1314 |
+
"step": 1830
|
| 1315 |
+
},
|
| 1316 |
+
{
|
| 1317 |
+
"epoch": 0.89,
|
| 1318 |
+
"grad_norm": 0.1967206597328186,
|
| 1319 |
+
"learning_rate": 4.901681622067293e-05,
|
| 1320 |
+
"loss": 0.6964,
|
| 1321 |
+
"step": 1840
|
| 1322 |
+
},
|
| 1323 |
+
{
|
| 1324 |
+
"epoch": 0.89,
|
| 1325 |
+
"grad_norm": 0.2195650041103363,
|
| 1326 |
+
"learning_rate": 4.899334272031825e-05,
|
| 1327 |
+
"loss": 0.6982,
|
| 1328 |
+
"step": 1850
|
| 1329 |
+
},
|
| 1330 |
+
{
|
| 1331 |
+
"epoch": 0.9,
|
| 1332 |
+
"grad_norm": 0.23072399199008942,
|
| 1333 |
+
"learning_rate": 4.8969598056306475e-05,
|
| 1334 |
+
"loss": 0.6838,
|
| 1335 |
+
"step": 1860
|
| 1336 |
+
},
|
| 1337 |
+
{
|
| 1338 |
+
"epoch": 0.9,
|
| 1339 |
+
"grad_norm": 0.1950792670249939,
|
| 1340 |
+
"learning_rate": 4.89455824969908e-05,
|
| 1341 |
+
"loss": 0.6984,
|
| 1342 |
+
"step": 1870
|
| 1343 |
+
},
|
| 1344 |
+
{
|
| 1345 |
+
"epoch": 0.91,
|
| 1346 |
+
"grad_norm": 0.2289438396692276,
|
| 1347 |
+
"learning_rate": 4.892129631378597e-05,
|
| 1348 |
+
"loss": 0.7012,
|
| 1349 |
+
"step": 1880
|
| 1350 |
+
},
|
| 1351 |
+
{
|
| 1352 |
+
"epoch": 0.91,
|
| 1353 |
+
"grad_norm": 0.22316494584083557,
|
| 1354 |
+
"learning_rate": 4.8896739781165215e-05,
|
| 1355 |
+
"loss": 0.6904,
|
| 1356 |
+
"step": 1890
|
| 1357 |
+
},
|
| 1358 |
+
{
|
| 1359 |
+
"epoch": 0.92,
|
| 1360 |
+
"grad_norm": 0.24066634476184845,
|
| 1361 |
+
"learning_rate": 4.8871913176657135e-05,
|
| 1362 |
+
"loss": 0.6974,
|
| 1363 |
+
"step": 1900
|
| 1364 |
+
},
|
| 1365 |
+
{
|
| 1366 |
+
"epoch": 0.92,
|
| 1367 |
+
"grad_norm": 0.18922199308872223,
|
| 1368 |
+
"learning_rate": 4.8846816780842606e-05,
|
| 1369 |
+
"loss": 0.686,
|
| 1370 |
+
"step": 1910
|
| 1371 |
+
},
|
| 1372 |
+
{
|
| 1373 |
+
"epoch": 0.93,
|
| 1374 |
+
"grad_norm": 0.2425553798675537,
|
| 1375 |
+
"learning_rate": 4.882145087735158e-05,
|
| 1376 |
+
"loss": 0.715,
|
| 1377 |
+
"step": 1920
|
| 1378 |
+
},
|
| 1379 |
+
{
|
| 1380 |
+
"epoch": 0.93,
|
| 1381 |
+
"grad_norm": 0.2267230898141861,
|
| 1382 |
+
"learning_rate": 4.879581575285988e-05,
|
| 1383 |
+
"loss": 0.698,
|
| 1384 |
+
"step": 1930
|
| 1385 |
+
},
|
| 1386 |
+
{
|
| 1387 |
+
"epoch": 0.94,
|
| 1388 |
+
"grad_norm": 0.22119645774364471,
|
| 1389 |
+
"learning_rate": 4.876991169708592e-05,
|
| 1390 |
+
"loss": 0.6942,
|
| 1391 |
+
"step": 1940
|
| 1392 |
+
},
|
| 1393 |
+
{
|
| 1394 |
+
"epoch": 0.94,
|
| 1395 |
+
"grad_norm": 0.22854161262512207,
|
| 1396 |
+
"learning_rate": 4.874373900278756e-05,
|
| 1397 |
+
"loss": 0.6912,
|
| 1398 |
+
"step": 1950
|
| 1399 |
+
},
|
| 1400 |
+
{
|
| 1401 |
+
"epoch": 0.95,
|
| 1402 |
+
"grad_norm": 0.1927136778831482,
|
| 1403 |
+
"learning_rate": 4.871729796575863e-05,
|
| 1404 |
+
"loss": 0.6829,
|
| 1405 |
+
"step": 1960
|
| 1406 |
+
},
|
| 1407 |
+
{
|
| 1408 |
+
"epoch": 0.95,
|
| 1409 |
+
"grad_norm": 0.2238394170999527,
|
| 1410 |
+
"learning_rate": 4.869058888482571e-05,
|
| 1411 |
+
"loss": 0.6831,
|
| 1412 |
+
"step": 1970
|
| 1413 |
+
},
|
| 1414 |
+
{
|
| 1415 |
+
"epoch": 0.96,
|
| 1416 |
+
"grad_norm": 0.17643775045871735,
|
| 1417 |
+
"learning_rate": 4.86636120618447e-05,
|
| 1418 |
+
"loss": 0.6875,
|
| 1419 |
+
"step": 1980
|
| 1420 |
+
},
|
| 1421 |
+
{
|
| 1422 |
+
"epoch": 0.96,
|
| 1423 |
+
"grad_norm": 0.2161882072687149,
|
| 1424 |
+
"learning_rate": 4.863636780169742e-05,
|
| 1425 |
+
"loss": 0.6893,
|
| 1426 |
+
"step": 1990
|
| 1427 |
+
},
|
| 1428 |
+
{
|
| 1429 |
+
"epoch": 0.97,
|
| 1430 |
+
"grad_norm": 0.20689886808395386,
|
| 1431 |
+
"learning_rate": 4.860885641228815e-05,
|
| 1432 |
+
"loss": 0.6721,
|
| 1433 |
+
"step": 2000
|
| 1434 |
+
},
|
| 1435 |
+
{
|
| 1436 |
+
"epoch": 0.97,
|
| 1437 |
+
"eval_loss": 0.701475203037262,
|
| 1438 |
+
"eval_runtime": 43.016,
|
| 1439 |
+
"eval_samples_per_second": 46.494,
|
| 1440 |
+
"eval_steps_per_second": 0.372,
|
| 1441 |
+
"step": 2000
|
| 1442 |
+
},
|
| 1443 |
+
{
|
| 1444 |
+
"epoch": 0.97,
|
| 1445 |
+
"grad_norm": 0.18866655230522156,
|
| 1446 |
+
"learning_rate": 4.8581078204540196e-05,
|
| 1447 |
+
"loss": 0.6941,
|
| 1448 |
+
"step": 2010
|
| 1449 |
+
},
|
| 1450 |
+
{
|
| 1451 |
+
"epoch": 0.98,
|
| 1452 |
+
"grad_norm": 0.20633092522621155,
|
| 1453 |
+
"learning_rate": 4.855303349239231e-05,
|
| 1454 |
+
"loss": 0.6943,
|
| 1455 |
+
"step": 2020
|
| 1456 |
+
},
|
| 1457 |
+
{
|
| 1458 |
+
"epoch": 0.98,
|
| 1459 |
+
"grad_norm": 0.2335944026708603,
|
| 1460 |
+
"learning_rate": 4.85247225927952e-05,
|
| 1461 |
+
"loss": 0.6986,
|
| 1462 |
+
"step": 2030
|
| 1463 |
+
},
|
| 1464 |
+
{
|
| 1465 |
+
"epoch": 0.99,
|
| 1466 |
+
"grad_norm": 0.18950659036636353,
|
| 1467 |
+
"learning_rate": 4.8496145825707905e-05,
|
| 1468 |
+
"loss": 0.6894,
|
| 1469 |
+
"step": 2040
|
| 1470 |
+
},
|
| 1471 |
+
{
|
| 1472 |
+
"epoch": 0.99,
|
| 1473 |
+
"grad_norm": 0.22117875516414642,
|
| 1474 |
+
"learning_rate": 4.8467303514094204e-05,
|
| 1475 |
+
"loss": 0.6956,
|
| 1476 |
+
"step": 2050
|
| 1477 |
+
},
|
| 1478 |
+
{
|
| 1479 |
+
"epoch": 1.0,
|
| 1480 |
+
"grad_norm": 0.23478396236896515,
|
| 1481 |
+
"learning_rate": 4.8438195983918967e-05,
|
| 1482 |
+
"loss": 0.6919,
|
| 1483 |
+
"step": 2060
|
| 1484 |
+
},
|
| 1485 |
+
{
|
| 1486 |
+
"epoch": 1.0,
|
| 1487 |
+
"grad_norm": 0.24754443764686584,
|
| 1488 |
+
"learning_rate": 4.8408823564144454e-05,
|
| 1489 |
+
"loss": 0.6904,
|
| 1490 |
+
"step": 2070
|
| 1491 |
+
},
|
| 1492 |
+
{
|
| 1493 |
+
"epoch": 1.01,
|
| 1494 |
+
"grad_norm": 0.19141903519630432,
|
| 1495 |
+
"learning_rate": 4.837918658672661e-05,
|
| 1496 |
+
"loss": 0.6914,
|
| 1497 |
+
"step": 2080
|
| 1498 |
+
},
|
| 1499 |
+
{
|
| 1500 |
+
"epoch": 1.01,
|
| 1501 |
+
"grad_norm": 0.21387813985347748,
|
| 1502 |
+
"learning_rate": 4.834928538661131e-05,
|
| 1503 |
+
"loss": 0.6965,
|
| 1504 |
+
"step": 2090
|
| 1505 |
+
},
|
| 1506 |
+
{
|
| 1507 |
+
"epoch": 1.01,
|
| 1508 |
+
"grad_norm": 0.20495550334453583,
|
| 1509 |
+
"learning_rate": 4.831912030173058e-05,
|
| 1510 |
+
"loss": 0.6949,
|
| 1511 |
+
"step": 2100
|
| 1512 |
+
},
|
| 1513 |
+
{
|
| 1514 |
+
"epoch": 1.02,
|
| 1515 |
+
"grad_norm": 0.35174649953842163,
|
| 1516 |
+
"learning_rate": 4.8288691672998765e-05,
|
| 1517 |
+
"loss": 0.6813,
|
| 1518 |
+
"step": 2110
|
| 1519 |
+
},
|
| 1520 |
+
{
|
| 1521 |
+
"epoch": 1.02,
|
| 1522 |
+
"grad_norm": 0.2461618334054947,
|
| 1523 |
+
"learning_rate": 4.825799984430867e-05,
|
| 1524 |
+
"loss": 0.6687,
|
| 1525 |
+
"step": 2120
|
| 1526 |
+
},
|
| 1527 |
+
{
|
| 1528 |
+
"epoch": 1.03,
|
| 1529 |
+
"grad_norm": 0.20039792358875275,
|
| 1530 |
+
"learning_rate": 4.8227045162527714e-05,
|
| 1531 |
+
"loss": 0.6737,
|
| 1532 |
+
"step": 2130
|
| 1533 |
+
},
|
| 1534 |
+
{
|
| 1535 |
+
"epoch": 1.03,
|
| 1536 |
+
"grad_norm": 0.19774436950683594,
|
| 1537 |
+
"learning_rate": 4.8195827977493955e-05,
|
| 1538 |
+
"loss": 0.6815,
|
| 1539 |
+
"step": 2140
|
| 1540 |
+
},
|
| 1541 |
+
{
|
| 1542 |
+
"epoch": 1.04,
|
| 1543 |
+
"grad_norm": 0.21472251415252686,
|
| 1544 |
+
"learning_rate": 4.8164348642012194e-05,
|
| 1545 |
+
"loss": 0.6957,
|
| 1546 |
+
"step": 2150
|
| 1547 |
+
},
|
| 1548 |
+
{
|
| 1549 |
+
"epoch": 1.04,
|
| 1550 |
+
"grad_norm": 0.1990274041891098,
|
| 1551 |
+
"learning_rate": 4.813260751184992e-05,
|
| 1552 |
+
"loss": 0.6916,
|
| 1553 |
+
"step": 2160
|
| 1554 |
+
},
|
| 1555 |
+
{
|
| 1556 |
+
"epoch": 1.05,
|
| 1557 |
+
"grad_norm": 0.20387563109397888,
|
| 1558 |
+
"learning_rate": 4.810060494573335e-05,
|
| 1559 |
+
"loss": 0.6814,
|
| 1560 |
+
"step": 2170
|
| 1561 |
+
},
|
| 1562 |
+
{
|
| 1563 |
+
"epoch": 1.05,
|
| 1564 |
+
"grad_norm": 0.1792985051870346,
|
| 1565 |
+
"learning_rate": 4.806834130534336e-05,
|
| 1566 |
+
"loss": 0.698,
|
| 1567 |
+
"step": 2180
|
| 1568 |
+
},
|
| 1569 |
+
{
|
| 1570 |
+
"epoch": 1.06,
|
| 1571 |
+
"grad_norm": 0.22255714237689972,
|
| 1572 |
+
"learning_rate": 4.803581695531134e-05,
|
| 1573 |
+
"loss": 0.6765,
|
| 1574 |
+
"step": 2190
|
| 1575 |
+
},
|
| 1576 |
+
{
|
| 1577 |
+
"epoch": 1.06,
|
| 1578 |
+
"grad_norm": 0.19549421966075897,
|
| 1579 |
+
"learning_rate": 4.8003032263215185e-05,
|
| 1580 |
+
"loss": 0.6867,
|
| 1581 |
+
"step": 2200
|
| 1582 |
+
},
|
| 1583 |
+
{
|
| 1584 |
+
"epoch": 1.07,
|
| 1585 |
+
"grad_norm": 0.1929677277803421,
|
| 1586 |
+
"learning_rate": 4.796998759957504e-05,
|
| 1587 |
+
"loss": 0.6935,
|
| 1588 |
+
"step": 2210
|
| 1589 |
+
},
|
| 1590 |
+
{
|
| 1591 |
+
"epoch": 1.07,
|
| 1592 |
+
"grad_norm": 0.22705228626728058,
|
| 1593 |
+
"learning_rate": 4.793668333784915e-05,
|
| 1594 |
+
"loss": 0.6897,
|
| 1595 |
+
"step": 2220
|
| 1596 |
+
},
|
| 1597 |
+
{
|
| 1598 |
+
"epoch": 1.08,
|
| 1599 |
+
"grad_norm": 0.21798522770404816,
|
| 1600 |
+
"learning_rate": 4.790311985442966e-05,
|
| 1601 |
+
"loss": 0.6694,
|
| 1602 |
+
"step": 2230
|
| 1603 |
+
},
|
| 1604 |
+
{
|
| 1605 |
+
"epoch": 1.08,
|
| 1606 |
+
"grad_norm": 0.19095788896083832,
|
| 1607 |
+
"learning_rate": 4.7869297528638315e-05,
|
| 1608 |
+
"loss": 0.6699,
|
| 1609 |
+
"step": 2240
|
| 1610 |
+
},
|
| 1611 |
+
{
|
| 1612 |
+
"epoch": 1.09,
|
| 1613 |
+
"grad_norm": 0.23002374172210693,
|
| 1614 |
+
"learning_rate": 4.7835216742722225e-05,
|
| 1615 |
+
"loss": 0.6807,
|
| 1616 |
+
"step": 2250
|
| 1617 |
+
},
|
| 1618 |
+
{
|
| 1619 |
+
"epoch": 1.09,
|
| 1620 |
+
"grad_norm": 0.2107260823249817,
|
| 1621 |
+
"learning_rate": 4.780087788184947e-05,
|
| 1622 |
+
"loss": 0.6855,
|
| 1623 |
+
"step": 2260
|
| 1624 |
+
},
|
| 1625 |
+
{
|
| 1626 |
+
"epoch": 1.1,
|
| 1627 |
+
"grad_norm": 0.23853424191474915,
|
| 1628 |
+
"learning_rate": 4.776628133410487e-05,
|
| 1629 |
+
"loss": 0.6946,
|
| 1630 |
+
"step": 2270
|
| 1631 |
+
},
|
| 1632 |
+
{
|
| 1633 |
+
"epoch": 1.1,
|
| 1634 |
+
"grad_norm": 0.25372380018234253,
|
| 1635 |
+
"learning_rate": 4.7731427490485455e-05,
|
| 1636 |
+
"loss": 0.6724,
|
| 1637 |
+
"step": 2280
|
| 1638 |
+
},
|
| 1639 |
+
{
|
| 1640 |
+
"epoch": 1.11,
|
| 1641 |
+
"grad_norm": 0.182255819439888,
|
| 1642 |
+
"learning_rate": 4.7696316744896146e-05,
|
| 1643 |
+
"loss": 0.6976,
|
| 1644 |
+
"step": 2290
|
| 1645 |
+
},
|
| 1646 |
+
{
|
| 1647 |
+
"epoch": 1.11,
|
| 1648 |
+
"grad_norm": 0.20137862861156464,
|
| 1649 |
+
"learning_rate": 4.7660949494145276e-05,
|
| 1650 |
+
"loss": 0.6853,
|
| 1651 |
+
"step": 2300
|
| 1652 |
+
},
|
| 1653 |
+
{
|
| 1654 |
+
"epoch": 1.12,
|
| 1655 |
+
"grad_norm": 0.19899927079677582,
|
| 1656 |
+
"learning_rate": 4.7625326137940106e-05,
|
| 1657 |
+
"loss": 0.6696,
|
| 1658 |
+
"step": 2310
|
| 1659 |
+
},
|
| 1660 |
+
{
|
| 1661 |
+
"epoch": 1.12,
|
| 1662 |
+
"grad_norm": 0.24147948622703552,
|
| 1663 |
+
"learning_rate": 4.758944707888228e-05,
|
| 1664 |
+
"loss": 0.6615,
|
| 1665 |
+
"step": 2320
|
| 1666 |
+
},
|
| 1667 |
+
{
|
| 1668 |
+
"epoch": 1.13,
|
| 1669 |
+
"grad_norm": 0.19519510865211487,
|
| 1670 |
+
"learning_rate": 4.7553312722463305e-05,
|
| 1671 |
+
"loss": 0.685,
|
| 1672 |
+
"step": 2330
|
| 1673 |
+
},
|
| 1674 |
+
{
|
| 1675 |
+
"epoch": 1.13,
|
| 1676 |
+
"grad_norm": 0.20128916203975677,
|
| 1677 |
+
"learning_rate": 4.751692347705998e-05,
|
| 1678 |
+
"loss": 0.6829,
|
| 1679 |
+
"step": 2340
|
| 1680 |
+
},
|
| 1681 |
+
{
|
| 1682 |
+
"epoch": 1.14,
|
| 1683 |
+
"grad_norm": 0.16112156212329865,
|
| 1684 |
+
"learning_rate": 4.748027975392976e-05,
|
| 1685 |
+
"loss": 0.6714,
|
| 1686 |
+
"step": 2350
|
| 1687 |
+
},
|
| 1688 |
+
{
|
| 1689 |
+
"epoch": 1.14,
|
| 1690 |
+
"grad_norm": 0.2659178674221039,
|
| 1691 |
+
"learning_rate": 4.744338196720608e-05,
|
| 1692 |
+
"loss": 0.6834,
|
| 1693 |
+
"step": 2360
|
| 1694 |
+
},
|
| 1695 |
+
{
|
| 1696 |
+
"epoch": 1.15,
|
| 1697 |
+
"grad_norm": 0.20477250218391418,
|
| 1698 |
+
"learning_rate": 4.740623053389374e-05,
|
| 1699 |
+
"loss": 0.6664,
|
| 1700 |
+
"step": 2370
|
| 1701 |
+
},
|
| 1702 |
+
{
|
| 1703 |
+
"epoch": 1.15,
|
| 1704 |
+
"grad_norm": 0.18069259822368622,
|
| 1705 |
+
"learning_rate": 4.7368825873864154e-05,
|
| 1706 |
+
"loss": 0.669,
|
| 1707 |
+
"step": 2380
|
| 1708 |
+
},
|
| 1709 |
+
{
|
| 1710 |
+
"epoch": 1.16,
|
| 1711 |
+
"grad_norm": 0.2146090418100357,
|
| 1712 |
+
"learning_rate": 4.733116840985058e-05,
|
| 1713 |
+
"loss": 0.6836,
|
| 1714 |
+
"step": 2390
|
| 1715 |
+
},
|
| 1716 |
+
{
|
| 1717 |
+
"epoch": 1.16,
|
| 1718 |
+
"grad_norm": 0.20656266808509827,
|
| 1719 |
+
"learning_rate": 4.729325856744341e-05,
|
| 1720 |
+
"loss": 0.6818,
|
| 1721 |
+
"step": 2400
|
| 1722 |
+
},
|
| 1723 |
+
{
|
| 1724 |
+
"epoch": 1.16,
|
| 1725 |
+
"grad_norm": 0.1764717549085617,
|
| 1726 |
+
"learning_rate": 4.725509677508528e-05,
|
| 1727 |
+
"loss": 0.7012,
|
| 1728 |
+
"step": 2410
|
| 1729 |
+
},
|
| 1730 |
+
{
|
| 1731 |
+
"epoch": 1.17,
|
| 1732 |
+
"grad_norm": 0.19059453904628754,
|
| 1733 |
+
"learning_rate": 4.721668346406631e-05,
|
| 1734 |
+
"loss": 0.6885,
|
| 1735 |
+
"step": 2420
|
| 1736 |
+
},
|
| 1737 |
+
{
|
| 1738 |
+
"epoch": 1.17,
|
| 1739 |
+
"grad_norm": 0.1867195963859558,
|
| 1740 |
+
"learning_rate": 4.7178019068519165e-05,
|
| 1741 |
+
"loss": 0.6704,
|
| 1742 |
+
"step": 2430
|
| 1743 |
+
},
|
| 1744 |
+
{
|
| 1745 |
+
"epoch": 1.18,
|
| 1746 |
+
"grad_norm": 0.19844096899032593,
|
| 1747 |
+
"learning_rate": 4.713910402541416e-05,
|
| 1748 |
+
"loss": 0.6746,
|
| 1749 |
+
"step": 2440
|
| 1750 |
+
},
|
| 1751 |
+
{
|
| 1752 |
+
"epoch": 1.18,
|
| 1753 |
+
"grad_norm": 0.21426193416118622,
|
| 1754 |
+
"learning_rate": 4.709993877455436e-05,
|
| 1755 |
+
"loss": 0.6627,
|
| 1756 |
+
"step": 2450
|
| 1757 |
+
},
|
| 1758 |
+
{
|
| 1759 |
+
"epoch": 1.19,
|
| 1760 |
+
"grad_norm": 0.19326262176036835,
|
| 1761 |
+
"learning_rate": 4.706052375857058e-05,
|
| 1762 |
+
"loss": 0.6652,
|
| 1763 |
+
"step": 2460
|
| 1764 |
+
},
|
| 1765 |
+
{
|
| 1766 |
+
"epoch": 1.19,
|
| 1767 |
+
"grad_norm": 0.229305237531662,
|
| 1768 |
+
"learning_rate": 4.7020859422916365e-05,
|
| 1769 |
+
"loss": 0.6746,
|
| 1770 |
+
"step": 2470
|
| 1771 |
+
},
|
| 1772 |
+
{
|
| 1773 |
+
"epoch": 1.2,
|
| 1774 |
+
"grad_norm": 0.20060321688652039,
|
| 1775 |
+
"learning_rate": 4.698094621586299e-05,
|
| 1776 |
+
"loss": 0.6658,
|
| 1777 |
+
"step": 2480
|
| 1778 |
+
},
|
| 1779 |
+
{
|
| 1780 |
+
"epoch": 1.2,
|
| 1781 |
+
"grad_norm": 0.21455462276935577,
|
| 1782 |
+
"learning_rate": 4.694078458849438e-05,
|
| 1783 |
+
"loss": 0.6966,
|
| 1784 |
+
"step": 2490
|
| 1785 |
+
},
|
| 1786 |
+
{
|
| 1787 |
+
"epoch": 1.21,
|
| 1788 |
+
"grad_norm": 0.18379837274551392,
|
| 1789 |
+
"learning_rate": 4.690037499470202e-05,
|
| 1790 |
+
"loss": 0.6753,
|
| 1791 |
+
"step": 2500
|
| 1792 |
+
},
|
| 1793 |
+
{
|
| 1794 |
+
"epoch": 1.21,
|
| 1795 |
+
"eval_loss": 0.6940956711769104,
|
| 1796 |
+
"eval_runtime": 42.7889,
|
| 1797 |
+
"eval_samples_per_second": 46.741,
|
| 1798 |
+
"eval_steps_per_second": 0.374,
|
| 1799 |
+
"step": 2500
|
| 1800 |
+
},
|
| 1801 |
+
{
|
| 1802 |
+
"epoch": 1.21,
|
| 1803 |
+
"grad_norm": 0.19967205822467804,
|
| 1804 |
+
"learning_rate": 4.68597178911798e-05,
|
| 1805 |
+
"loss": 0.697,
|
| 1806 |
+
"step": 2510
|
| 1807 |
+
},
|
| 1808 |
+
{
|
| 1809 |
+
"epoch": 1.22,
|
| 1810 |
+
"grad_norm": 0.1688542366027832,
|
| 1811 |
+
"learning_rate": 4.681881373741888e-05,
|
| 1812 |
+
"loss": 0.681,
|
| 1813 |
+
"step": 2520
|
| 1814 |
+
},
|
| 1815 |
+
{
|
| 1816 |
+
"epoch": 1.22,
|
| 1817 |
+
"grad_norm": 0.19124309718608856,
|
| 1818 |
+
"learning_rate": 4.67776629957025e-05,
|
| 1819 |
+
"loss": 0.6855,
|
| 1820 |
+
"step": 2530
|
| 1821 |
+
},
|
| 1822 |
+
{
|
| 1823 |
+
"epoch": 1.23,
|
| 1824 |
+
"grad_norm": 0.22720417380332947,
|
| 1825 |
+
"learning_rate": 4.6736266131100706e-05,
|
| 1826 |
+
"loss": 0.6747,
|
| 1827 |
+
"step": 2540
|
| 1828 |
+
},
|
| 1829 |
+
{
|
| 1830 |
+
"epoch": 1.23,
|
| 1831 |
+
"grad_norm": 0.21285779774188995,
|
| 1832 |
+
"learning_rate": 4.6694623611465185e-05,
|
| 1833 |
+
"loss": 0.687,
|
| 1834 |
+
"step": 2550
|
| 1835 |
+
},
|
| 1836 |
+
{
|
| 1837 |
+
"epoch": 1.24,
|
| 1838 |
+
"grad_norm": 0.1932476907968521,
|
| 1839 |
+
"learning_rate": 4.6652735907423886e-05,
|
| 1840 |
+
"loss": 0.6745,
|
| 1841 |
+
"step": 2560
|
| 1842 |
+
},
|
| 1843 |
+
{
|
| 1844 |
+
"epoch": 1.24,
|
| 1845 |
+
"grad_norm": 0.2050684541463852,
|
| 1846 |
+
"learning_rate": 4.661060349237574e-05,
|
| 1847 |
+
"loss": 0.6865,
|
| 1848 |
+
"step": 2570
|
| 1849 |
+
},
|
| 1850 |
+
{
|
| 1851 |
+
"epoch": 1.25,
|
| 1852 |
+
"grad_norm": 0.20403894782066345,
|
| 1853 |
+
"learning_rate": 4.656822684248533e-05,
|
| 1854 |
+
"loss": 0.6897,
|
| 1855 |
+
"step": 2580
|
| 1856 |
+
},
|
| 1857 |
+
{
|
| 1858 |
+
"epoch": 1.25,
|
| 1859 |
+
"grad_norm": 0.20080254971981049,
|
| 1860 |
+
"learning_rate": 4.652560643667747e-05,
|
| 1861 |
+
"loss": 0.6768,
|
| 1862 |
+
"step": 2590
|
| 1863 |
+
},
|
| 1864 |
+
{
|
| 1865 |
+
"epoch": 1.26,
|
| 1866 |
+
"grad_norm": 0.20147019624710083,
|
| 1867 |
+
"learning_rate": 4.648274275663183e-05,
|
| 1868 |
+
"loss": 0.6911,
|
| 1869 |
+
"step": 2600
|
| 1870 |
+
},
|
| 1871 |
+
{
|
| 1872 |
+
"epoch": 1.26,
|
| 1873 |
+
"grad_norm": 0.17825543880462646,
|
| 1874 |
+
"learning_rate": 4.643963628677743e-05,
|
| 1875 |
+
"loss": 0.6635,
|
| 1876 |
+
"step": 2610
|
| 1877 |
+
},
|
| 1878 |
+
{
|
| 1879 |
+
"epoch": 1.27,
|
| 1880 |
+
"grad_norm": 0.20095126330852509,
|
| 1881 |
+
"learning_rate": 4.6396287514287275e-05,
|
| 1882 |
+
"loss": 0.664,
|
| 1883 |
+
"step": 2620
|
| 1884 |
+
},
|
| 1885 |
+
{
|
| 1886 |
+
"epoch": 1.27,
|
| 1887 |
+
"grad_norm": 0.20084308087825775,
|
| 1888 |
+
"learning_rate": 4.6352696929072727e-05,
|
| 1889 |
+
"loss": 0.6653,
|
| 1890 |
+
"step": 2630
|
| 1891 |
+
},
|
| 1892 |
+
{
|
| 1893 |
+
"epoch": 1.28,
|
| 1894 |
+
"grad_norm": 0.21178288757801056,
|
| 1895 |
+
"learning_rate": 4.630886502377805e-05,
|
| 1896 |
+
"loss": 0.6981,
|
| 1897 |
+
"step": 2640
|
| 1898 |
+
},
|
| 1899 |
+
{
|
| 1900 |
+
"epoch": 1.28,
|
| 1901 |
+
"grad_norm": 0.1963459551334381,
|
| 1902 |
+
"learning_rate": 4.62647922937748e-05,
|
| 1903 |
+
"loss": 0.6666,
|
| 1904 |
+
"step": 2650
|
| 1905 |
+
},
|
| 1906 |
+
{
|
| 1907 |
+
"epoch": 1.29,
|
| 1908 |
+
"grad_norm": 0.21702295541763306,
|
| 1909 |
+
"learning_rate": 4.6220479237156254e-05,
|
| 1910 |
+
"loss": 0.6868,
|
| 1911 |
+
"step": 2660
|
| 1912 |
+
},
|
| 1913 |
+
{
|
| 1914 |
+
"epoch": 1.29,
|
| 1915 |
+
"grad_norm": 0.20558403432369232,
|
| 1916 |
+
"learning_rate": 4.6175926354731785e-05,
|
| 1917 |
+
"loss": 0.6794,
|
| 1918 |
+
"step": 2670
|
| 1919 |
+
},
|
| 1920 |
+
{
|
| 1921 |
+
"epoch": 1.3,
|
| 1922 |
+
"grad_norm": 0.20398521423339844,
|
| 1923 |
+
"learning_rate": 4.613113415002115e-05,
|
| 1924 |
+
"loss": 0.69,
|
| 1925 |
+
"step": 2680
|
| 1926 |
+
},
|
| 1927 |
+
{
|
| 1928 |
+
"epoch": 1.3,
|
| 1929 |
+
"grad_norm": 0.2166917473077774,
|
| 1930 |
+
"learning_rate": 4.6086103129248846e-05,
|
| 1931 |
+
"loss": 0.6604,
|
| 1932 |
+
"step": 2690
|
| 1933 |
+
},
|
| 1934 |
+
{
|
| 1935 |
+
"epoch": 1.3,
|
| 1936 |
+
"grad_norm": 0.2121194452047348,
|
| 1937 |
+
"learning_rate": 4.604083380133841e-05,
|
| 1938 |
+
"loss": 0.6653,
|
| 1939 |
+
"step": 2700
|
| 1940 |
+
},
|
| 1941 |
+
{
|
| 1942 |
+
"epoch": 1.31,
|
| 1943 |
+
"grad_norm": 0.252469927072525,
|
| 1944 |
+
"learning_rate": 4.5995326677906605e-05,
|
| 1945 |
+
"loss": 0.6678,
|
| 1946 |
+
"step": 2710
|
| 1947 |
+
},
|
| 1948 |
+
{
|
| 1949 |
+
"epoch": 1.31,
|
| 1950 |
+
"grad_norm": 0.1864558607339859,
|
| 1951 |
+
"learning_rate": 4.5949582273257656e-05,
|
| 1952 |
+
"loss": 0.6806,
|
| 1953 |
+
"step": 2720
|
| 1954 |
+
},
|
| 1955 |
+
{
|
| 1956 |
+
"epoch": 1.32,
|
| 1957 |
+
"grad_norm": 0.19438904523849487,
|
| 1958 |
+
"learning_rate": 4.59036011043775e-05,
|
| 1959 |
+
"loss": 0.6832,
|
| 1960 |
+
"step": 2730
|
| 1961 |
+
},
|
| 1962 |
+
{
|
| 1963 |
+
"epoch": 1.32,
|
| 1964 |
+
"grad_norm": 0.1954311728477478,
|
| 1965 |
+
"learning_rate": 4.5857383690927844e-05,
|
| 1966 |
+
"loss": 0.6772,
|
| 1967 |
+
"step": 2740
|
| 1968 |
+
},
|
| 1969 |
+
{
|
| 1970 |
+
"epoch": 1.33,
|
| 1971 |
+
"grad_norm": 0.38669708371162415,
|
| 1972 |
+
"learning_rate": 4.5810930555240364e-05,
|
| 1973 |
+
"loss": 0.6663,
|
| 1974 |
+
"step": 2750
|
| 1975 |
+
},
|
| 1976 |
+
{
|
| 1977 |
+
"epoch": 1.33,
|
| 1978 |
+
"grad_norm": 0.5850951075553894,
|
| 1979 |
+
"learning_rate": 4.576424222231078e-05,
|
| 1980 |
+
"loss": 0.6578,
|
| 1981 |
+
"step": 2760
|
| 1982 |
+
},
|
| 1983 |
+
{
|
| 1984 |
+
"epoch": 1.34,
|
| 1985 |
+
"grad_norm": 0.22347845137119293,
|
| 1986 |
+
"learning_rate": 4.571731921979292e-05,
|
| 1987 |
+
"loss": 0.6735,
|
| 1988 |
+
"step": 2770
|
| 1989 |
+
},
|
| 1990 |
+
{
|
| 1991 |
+
"epoch": 1.34,
|
| 1992 |
+
"grad_norm": 0.22810417413711548,
|
| 1993 |
+
"learning_rate": 4.567016207799276e-05,
|
| 1994 |
+
"loss": 0.6628,
|
| 1995 |
+
"step": 2780
|
| 1996 |
+
},
|
| 1997 |
+
{
|
| 1998 |
+
"epoch": 1.35,
|
| 1999 |
+
"grad_norm": 0.18823856115341187,
|
| 2000 |
+
"learning_rate": 4.562277132986241e-05,
|
| 2001 |
+
"loss": 0.6803,
|
| 2002 |
+
"step": 2790
|
| 2003 |
+
},
|
| 2004 |
+
{
|
| 2005 |
+
"epoch": 1.35,
|
| 2006 |
+
"grad_norm": 0.219554141163826,
|
| 2007 |
+
"learning_rate": 4.557514751099415e-05,
|
| 2008 |
+
"loss": 0.6701,
|
| 2009 |
+
"step": 2800
|
| 2010 |
+
},
|
| 2011 |
+
{
|
| 2012 |
+
"epoch": 1.36,
|
| 2013 |
+
"grad_norm": 0.1830976903438568,
|
| 2014 |
+
"learning_rate": 4.55272911596143e-05,
|
| 2015 |
+
"loss": 0.6864,
|
| 2016 |
+
"step": 2810
|
| 2017 |
+
},
|
| 2018 |
+
{
|
| 2019 |
+
"epoch": 1.36,
|
| 2020 |
+
"grad_norm": 0.18995565176010132,
|
| 2021 |
+
"learning_rate": 4.5479202816577195e-05,
|
| 2022 |
+
"loss": 0.6683,
|
| 2023 |
+
"step": 2820
|
| 2024 |
+
},
|
| 2025 |
+
{
|
| 2026 |
+
"epoch": 1.37,
|
| 2027 |
+
"grad_norm": 0.19047056138515472,
|
| 2028 |
+
"learning_rate": 4.543088302535903e-05,
|
| 2029 |
+
"loss": 0.6855,
|
| 2030 |
+
"step": 2830
|
| 2031 |
+
},
|
| 2032 |
+
{
|
| 2033 |
+
"epoch": 1.37,
|
| 2034 |
+
"grad_norm": 0.18707235157489777,
|
| 2035 |
+
"learning_rate": 4.538233233205177e-05,
|
| 2036 |
+
"loss": 0.6786,
|
| 2037 |
+
"step": 2840
|
| 2038 |
+
},
|
| 2039 |
+
{
|
| 2040 |
+
"epoch": 1.38,
|
| 2041 |
+
"grad_norm": 0.19992856681346893,
|
| 2042 |
+
"learning_rate": 4.533355128535693e-05,
|
| 2043 |
+
"loss": 0.6676,
|
| 2044 |
+
"step": 2850
|
| 2045 |
+
},
|
| 2046 |
+
{
|
| 2047 |
+
"epoch": 1.38,
|
| 2048 |
+
"grad_norm": 0.20344853401184082,
|
| 2049 |
+
"learning_rate": 4.5284540436579395e-05,
|
| 2050 |
+
"loss": 0.6938,
|
| 2051 |
+
"step": 2860
|
| 2052 |
+
},
|
| 2053 |
+
{
|
| 2054 |
+
"epoch": 1.39,
|
| 2055 |
+
"grad_norm": 0.1867518275976181,
|
| 2056 |
+
"learning_rate": 4.5235300339621164e-05,
|
| 2057 |
+
"loss": 0.6736,
|
| 2058 |
+
"step": 2870
|
| 2059 |
+
},
|
| 2060 |
+
{
|
| 2061 |
+
"epoch": 1.39,
|
| 2062 |
+
"grad_norm": 0.23014211654663086,
|
| 2063 |
+
"learning_rate": 4.518583155097517e-05,
|
| 2064 |
+
"loss": 0.674,
|
| 2065 |
+
"step": 2880
|
| 2066 |
+
},
|
| 2067 |
+
{
|
| 2068 |
+
"epoch": 1.4,
|
| 2069 |
+
"grad_norm": 0.1905904859304428,
|
| 2070 |
+
"learning_rate": 4.5136134629718855e-05,
|
| 2071 |
+
"loss": 0.6704,
|
| 2072 |
+
"step": 2890
|
| 2073 |
+
},
|
| 2074 |
+
{
|
| 2075 |
+
"epoch": 1.4,
|
| 2076 |
+
"grad_norm": 0.2236865758895874,
|
| 2077 |
+
"learning_rate": 4.5086210137508e-05,
|
| 2078 |
+
"loss": 0.6633,
|
| 2079 |
+
"step": 2900
|
| 2080 |
+
},
|
| 2081 |
+
{
|
| 2082 |
+
"epoch": 1.41,
|
| 2083 |
+
"grad_norm": 0.19701044261455536,
|
| 2084 |
+
"learning_rate": 4.5036058638570264e-05,
|
| 2085 |
+
"loss": 0.6626,
|
| 2086 |
+
"step": 2910
|
| 2087 |
+
},
|
| 2088 |
+
{
|
| 2089 |
+
"epoch": 1.41,
|
| 2090 |
+
"grad_norm": 0.19464708864688873,
|
| 2091 |
+
"learning_rate": 4.4985680699698855e-05,
|
| 2092 |
+
"loss": 0.6595,
|
| 2093 |
+
"step": 2920
|
| 2094 |
+
},
|
| 2095 |
+
{
|
| 2096 |
+
"epoch": 1.42,
|
| 2097 |
+
"grad_norm": 0.19034789502620697,
|
| 2098 |
+
"learning_rate": 4.493507689024614e-05,
|
| 2099 |
+
"loss": 0.6688,
|
| 2100 |
+
"step": 2930
|
| 2101 |
+
},
|
| 2102 |
+
{
|
| 2103 |
+
"epoch": 1.42,
|
| 2104 |
+
"grad_norm": 0.19750766456127167,
|
| 2105 |
+
"learning_rate": 4.488424778211717e-05,
|
| 2106 |
+
"loss": 0.6521,
|
| 2107 |
+
"step": 2940
|
| 2108 |
+
},
|
| 2109 |
+
{
|
| 2110 |
+
"epoch": 1.43,
|
| 2111 |
+
"grad_norm": 0.20544354617595673,
|
| 2112 |
+
"learning_rate": 4.483319394976325e-05,
|
| 2113 |
+
"loss": 0.6947,
|
| 2114 |
+
"step": 2950
|
| 2115 |
+
},
|
| 2116 |
+
{
|
| 2117 |
+
"epoch": 1.43,
|
| 2118 |
+
"grad_norm": 0.22409361600875854,
|
| 2119 |
+
"learning_rate": 4.478191597017541e-05,
|
| 2120 |
+
"loss": 0.674,
|
| 2121 |
+
"step": 2960
|
| 2122 |
+
},
|
| 2123 |
+
{
|
| 2124 |
+
"epoch": 1.44,
|
| 2125 |
+
"grad_norm": 0.19409336149692535,
|
| 2126 |
+
"learning_rate": 4.473041442287793e-05,
|
| 2127 |
+
"loss": 0.6978,
|
| 2128 |
+
"step": 2970
|
| 2129 |
+
},
|
| 2130 |
+
{
|
| 2131 |
+
"epoch": 1.44,
|
| 2132 |
+
"grad_norm": 0.20303764939308167,
|
| 2133 |
+
"learning_rate": 4.4678689889921755e-05,
|
| 2134 |
+
"loss": 0.6771,
|
| 2135 |
+
"step": 2980
|
| 2136 |
+
},
|
| 2137 |
+
{
|
| 2138 |
+
"epoch": 1.45,
|
| 2139 |
+
"grad_norm": 0.193495512008667,
|
| 2140 |
+
"learning_rate": 4.462674295587794e-05,
|
| 2141 |
+
"loss": 0.6693,
|
| 2142 |
+
"step": 2990
|
| 2143 |
+
},
|
| 2144 |
+
{
|
| 2145 |
+
"epoch": 1.45,
|
| 2146 |
+
"grad_norm": 0.18171487748622894,
|
| 2147 |
+
"learning_rate": 4.457457420783103e-05,
|
| 2148 |
+
"loss": 0.6716,
|
| 2149 |
+
"step": 3000
|
| 2150 |
+
},
|
| 2151 |
+
{
|
| 2152 |
+
"epoch": 1.45,
|
| 2153 |
+
"eval_loss": 0.6894034147262573,
|
| 2154 |
+
"eval_runtime": 43.0285,
|
| 2155 |
+
"eval_samples_per_second": 46.481,
|
| 2156 |
+
"eval_steps_per_second": 0.372,
|
| 2157 |
+
"step": 3000
|
| 2158 |
+
},
|
| 2159 |
+
{
|
| 2160 |
+
"epoch": 1.45,
|
| 2161 |
+
"grad_norm": 0.22247907519340515,
|
| 2162 |
+
"learning_rate": 4.452218423537241e-05,
|
| 2163 |
+
"loss": 0.6753,
|
| 2164 |
+
"step": 3010
|
| 2165 |
+
},
|
| 2166 |
+
{
|
| 2167 |
+
"epoch": 1.46,
|
| 2168 |
+
"grad_norm": 0.2469698041677475,
|
| 2169 |
+
"learning_rate": 4.4469573630593686e-05,
|
| 2170 |
+
"loss": 0.6715,
|
| 2171 |
+
"step": 3020
|
| 2172 |
+
},
|
| 2173 |
+
{
|
| 2174 |
+
"epoch": 1.46,
|
| 2175 |
+
"grad_norm": 0.18804265558719635,
|
| 2176 |
+
"learning_rate": 4.4416742988079945e-05,
|
| 2177 |
+
"loss": 0.6546,
|
| 2178 |
+
"step": 3030
|
| 2179 |
+
},
|
| 2180 |
+
{
|
| 2181 |
+
"epoch": 1.47,
|
| 2182 |
+
"grad_norm": 0.19240662455558777,
|
| 2183 |
+
"learning_rate": 4.436369290490307e-05,
|
| 2184 |
+
"loss": 0.6857,
|
| 2185 |
+
"step": 3040
|
| 2186 |
+
},
|
| 2187 |
+
{
|
| 2188 |
+
"epoch": 1.47,
|
| 2189 |
+
"grad_norm": 0.22342869639396667,
|
| 2190 |
+
"learning_rate": 4.431042398061499e-05,
|
| 2191 |
+
"loss": 0.6938,
|
| 2192 |
+
"step": 3050
|
| 2193 |
+
},
|
| 2194 |
+
{
|
| 2195 |
+
"epoch": 1.48,
|
| 2196 |
+
"grad_norm": 0.20553608238697052,
|
| 2197 |
+
"learning_rate": 4.425693681724086e-05,
|
| 2198 |
+
"loss": 0.6687,
|
| 2199 |
+
"step": 3060
|
| 2200 |
+
},
|
| 2201 |
+
{
|
| 2202 |
+
"epoch": 1.48,
|
| 2203 |
+
"grad_norm": 0.19881366193294525,
|
| 2204 |
+
"learning_rate": 4.420323201927231e-05,
|
| 2205 |
+
"loss": 0.6644,
|
| 2206 |
+
"step": 3070
|
| 2207 |
+
},
|
| 2208 |
+
{
|
| 2209 |
+
"epoch": 1.49,
|
| 2210 |
+
"grad_norm": 0.18151846528053284,
|
| 2211 |
+
"learning_rate": 4.41493101936606e-05,
|
| 2212 |
+
"loss": 0.6667,
|
| 2213 |
+
"step": 3080
|
| 2214 |
+
},
|
| 2215 |
+
{
|
| 2216 |
+
"epoch": 1.49,
|
| 2217 |
+
"grad_norm": 0.1906978040933609,
|
| 2218 |
+
"learning_rate": 4.409517194980974e-05,
|
| 2219 |
+
"loss": 0.6578,
|
| 2220 |
+
"step": 3090
|
| 2221 |
+
},
|
| 2222 |
+
{
|
| 2223 |
+
"epoch": 1.5,
|
| 2224 |
+
"grad_norm": 0.18123480677604675,
|
| 2225 |
+
"learning_rate": 4.4040817899569644e-05,
|
| 2226 |
+
"loss": 0.681,
|
| 2227 |
+
"step": 3100
|
| 2228 |
+
},
|
| 2229 |
+
{
|
| 2230 |
+
"epoch": 1.5,
|
| 2231 |
+
"grad_norm": 0.18974031507968903,
|
| 2232 |
+
"learning_rate": 4.3986248657229134e-05,
|
| 2233 |
+
"loss": 0.6645,
|
| 2234 |
+
"step": 3110
|
| 2235 |
+
},
|
| 2236 |
+
{
|
| 2237 |
+
"epoch": 1.51,
|
| 2238 |
+
"grad_norm": 0.2028564214706421,
|
| 2239 |
+
"learning_rate": 4.3931464839509105e-05,
|
| 2240 |
+
"loss": 0.6913,
|
| 2241 |
+
"step": 3120
|
| 2242 |
+
},
|
| 2243 |
+
{
|
| 2244 |
+
"epoch": 1.51,
|
| 2245 |
+
"grad_norm": 0.17814776301383972,
|
| 2246 |
+
"learning_rate": 4.387646706555548e-05,
|
| 2247 |
+
"loss": 0.6949,
|
| 2248 |
+
"step": 3130
|
| 2249 |
+
},
|
| 2250 |
+
{
|
| 2251 |
+
"epoch": 1.52,
|
| 2252 |
+
"grad_norm": 0.21407385170459747,
|
| 2253 |
+
"learning_rate": 4.382125595693224e-05,
|
| 2254 |
+
"loss": 0.6656,
|
| 2255 |
+
"step": 3140
|
| 2256 |
+
},
|
| 2257 |
+
{
|
| 2258 |
+
"epoch": 1.52,
|
| 2259 |
+
"grad_norm": 0.21102961897850037,
|
| 2260 |
+
"learning_rate": 4.376583213761438e-05,
|
| 2261 |
+
"loss": 0.6612,
|
| 2262 |
+
"step": 3150
|
| 2263 |
+
},
|
| 2264 |
+
{
|
| 2265 |
+
"epoch": 1.53,
|
| 2266 |
+
"grad_norm": 0.19947603344917297,
|
| 2267 |
+
"learning_rate": 4.371019623398088e-05,
|
| 2268 |
+
"loss": 0.6894,
|
| 2269 |
+
"step": 3160
|
| 2270 |
+
},
|
| 2271 |
+
{
|
| 2272 |
+
"epoch": 1.53,
|
| 2273 |
+
"grad_norm": 0.20861291885375977,
|
| 2274 |
+
"learning_rate": 4.365434887480763e-05,
|
| 2275 |
+
"loss": 0.6739,
|
| 2276 |
+
"step": 3170
|
| 2277 |
+
},
|
| 2278 |
+
{
|
| 2279 |
+
"epoch": 1.54,
|
| 2280 |
+
"grad_norm": 0.2098263055086136,
|
| 2281 |
+
"learning_rate": 4.359829069126028e-05,
|
| 2282 |
+
"loss": 0.6739,
|
| 2283 |
+
"step": 3180
|
| 2284 |
+
},
|
| 2285 |
+
{
|
| 2286 |
+
"epoch": 1.54,
|
| 2287 |
+
"grad_norm": 0.19079270958900452,
|
| 2288 |
+
"learning_rate": 4.3542022316887166e-05,
|
| 2289 |
+
"loss": 0.6739,
|
| 2290 |
+
"step": 3190
|
| 2291 |
+
},
|
| 2292 |
+
{
|
| 2293 |
+
"epoch": 1.55,
|
| 2294 |
+
"grad_norm": 0.21104255318641663,
|
| 2295 |
+
"learning_rate": 4.34855443876121e-05,
|
| 2296 |
+
"loss": 0.652,
|
| 2297 |
+
"step": 3200
|
| 2298 |
+
},
|
| 2299 |
+
{
|
| 2300 |
+
"epoch": 1.55,
|
| 2301 |
+
"grad_norm": 0.19791875779628754,
|
| 2302 |
+
"learning_rate": 4.342885754172721e-05,
|
| 2303 |
+
"loss": 0.6551,
|
| 2304 |
+
"step": 3210
|
| 2305 |
+
},
|
| 2306 |
+
{
|
| 2307 |
+
"epoch": 1.56,
|
| 2308 |
+
"grad_norm": 0.22481437027454376,
|
| 2309 |
+
"learning_rate": 4.337196241988573e-05,
|
| 2310 |
+
"loss": 0.6649,
|
| 2311 |
+
"step": 3220
|
| 2312 |
+
},
|
| 2313 |
+
{
|
| 2314 |
+
"epoch": 1.56,
|
| 2315 |
+
"grad_norm": 0.19483722746372223,
|
| 2316 |
+
"learning_rate": 4.3314859665094745e-05,
|
| 2317 |
+
"loss": 0.6762,
|
| 2318 |
+
"step": 3230
|
| 2319 |
+
},
|
| 2320 |
+
{
|
| 2321 |
+
"epoch": 1.57,
|
| 2322 |
+
"grad_norm": 0.18499700725078583,
|
| 2323 |
+
"learning_rate": 4.3257549922707926e-05,
|
| 2324 |
+
"loss": 0.6754,
|
| 2325 |
+
"step": 3240
|
| 2326 |
+
},
|
| 2327 |
+
{
|
| 2328 |
+
"epoch": 1.57,
|
| 2329 |
+
"grad_norm": 0.21884921193122864,
|
| 2330 |
+
"learning_rate": 4.320003384041823e-05,
|
| 2331 |
+
"loss": 0.6757,
|
| 2332 |
+
"step": 3250
|
| 2333 |
+
},
|
| 2334 |
+
{
|
| 2335 |
+
"epoch": 1.58,
|
| 2336 |
+
"grad_norm": 0.20222313702106476,
|
| 2337 |
+
"learning_rate": 4.314231206825061e-05,
|
| 2338 |
+
"loss": 0.6527,
|
| 2339 |
+
"step": 3260
|
| 2340 |
+
},
|
| 2341 |
+
{
|
| 2342 |
+
"epoch": 1.58,
|
| 2343 |
+
"grad_norm": 0.18140584230422974,
|
| 2344 |
+
"learning_rate": 4.3084385258554635e-05,
|
| 2345 |
+
"loss": 0.6731,
|
| 2346 |
+
"step": 3270
|
| 2347 |
+
},
|
| 2348 |
+
{
|
| 2349 |
+
"epoch": 1.59,
|
| 2350 |
+
"grad_norm": 0.21039867401123047,
|
| 2351 |
+
"learning_rate": 4.302625406599713e-05,
|
| 2352 |
+
"loss": 0.6722,
|
| 2353 |
+
"step": 3280
|
| 2354 |
+
},
|
| 2355 |
+
{
|
| 2356 |
+
"epoch": 1.59,
|
| 2357 |
+
"grad_norm": 0.18162797391414642,
|
| 2358 |
+
"learning_rate": 4.296791914755478e-05,
|
| 2359 |
+
"loss": 0.6563,
|
| 2360 |
+
"step": 3290
|
| 2361 |
+
},
|
| 2362 |
+
{
|
| 2363 |
+
"epoch": 1.59,
|
| 2364 |
+
"grad_norm": 0.178864985704422,
|
| 2365 |
+
"learning_rate": 4.29093811625067e-05,
|
| 2366 |
+
"loss": 0.6666,
|
| 2367 |
+
"step": 3300
|
| 2368 |
+
},
|
| 2369 |
+
{
|
| 2370 |
+
"epoch": 1.6,
|
| 2371 |
+
"grad_norm": 0.21808697283267975,
|
| 2372 |
+
"learning_rate": 4.285064077242699e-05,
|
| 2373 |
+
"loss": 0.6689,
|
| 2374 |
+
"step": 3310
|
| 2375 |
+
},
|
| 2376 |
+
{
|
| 2377 |
+
"epoch": 1.6,
|
| 2378 |
+
"grad_norm": 0.20632699131965637,
|
| 2379 |
+
"learning_rate": 4.279169864117727e-05,
|
| 2380 |
+
"loss": 0.6664,
|
| 2381 |
+
"step": 3320
|
| 2382 |
+
},
|
| 2383 |
+
{
|
| 2384 |
+
"epoch": 1.61,
|
| 2385 |
+
"grad_norm": 0.20482878386974335,
|
| 2386 |
+
"learning_rate": 4.273255543489912e-05,
|
| 2387 |
+
"loss": 0.6407,
|
| 2388 |
+
"step": 3330
|
| 2389 |
+
},
|
| 2390 |
+
{
|
| 2391 |
+
"epoch": 1.61,
|
| 2392 |
+
"grad_norm": 0.18613804876804352,
|
| 2393 |
+
"learning_rate": 4.267321182200664e-05,
|
| 2394 |
+
"loss": 0.666,
|
| 2395 |
+
"step": 3340
|
| 2396 |
+
},
|
| 2397 |
+
{
|
| 2398 |
+
"epoch": 1.62,
|
| 2399 |
+
"grad_norm": 0.23219124972820282,
|
| 2400 |
+
"learning_rate": 4.2613668473178836e-05,
|
| 2401 |
+
"loss": 0.6802,
|
| 2402 |
+
"step": 3350
|
| 2403 |
+
},
|
| 2404 |
+
{
|
| 2405 |
+
"epoch": 1.62,
|
| 2406 |
+
"grad_norm": 0.17973752319812775,
|
| 2407 |
+
"learning_rate": 4.255392606135202e-05,
|
| 2408 |
+
"loss": 0.6571,
|
| 2409 |
+
"step": 3360
|
| 2410 |
+
},
|
| 2411 |
+
{
|
| 2412 |
+
"epoch": 1.63,
|
| 2413 |
+
"grad_norm": 0.21650458872318268,
|
| 2414 |
+
"learning_rate": 4.2493985261712285e-05,
|
| 2415 |
+
"loss": 0.6727,
|
| 2416 |
+
"step": 3370
|
| 2417 |
+
},
|
| 2418 |
+
{
|
| 2419 |
+
"epoch": 1.63,
|
| 2420 |
+
"grad_norm": 0.19476266205310822,
|
| 2421 |
+
"learning_rate": 4.2433846751687815e-05,
|
| 2422 |
+
"loss": 0.6836,
|
| 2423 |
+
"step": 3380
|
| 2424 |
+
},
|
| 2425 |
+
{
|
| 2426 |
+
"epoch": 1.64,
|
| 2427 |
+
"grad_norm": 0.20223549008369446,
|
| 2428 |
+
"learning_rate": 4.237351121094121e-05,
|
| 2429 |
+
"loss": 0.6666,
|
| 2430 |
+
"step": 3390
|
| 2431 |
+
},
|
| 2432 |
+
{
|
| 2433 |
+
"epoch": 1.64,
|
| 2434 |
+
"grad_norm": 0.2078579217195511,
|
| 2435 |
+
"learning_rate": 4.231297932136189e-05,
|
| 2436 |
+
"loss": 0.673,
|
| 2437 |
+
"step": 3400
|
| 2438 |
+
},
|
| 2439 |
+
{
|
| 2440 |
+
"epoch": 1.65,
|
| 2441 |
+
"grad_norm": 0.193430095911026,
|
| 2442 |
+
"learning_rate": 4.225225176705829e-05,
|
| 2443 |
+
"loss": 0.6718,
|
| 2444 |
+
"step": 3410
|
| 2445 |
+
},
|
| 2446 |
+
{
|
| 2447 |
+
"epoch": 1.65,
|
| 2448 |
+
"grad_norm": 0.18017272651195526,
|
| 2449 |
+
"learning_rate": 4.2191329234350194e-05,
|
| 2450 |
+
"loss": 0.6806,
|
| 2451 |
+
"step": 3420
|
| 2452 |
+
},
|
| 2453 |
+
{
|
| 2454 |
+
"epoch": 1.66,
|
| 2455 |
+
"grad_norm": 0.20289075374603271,
|
| 2456 |
+
"learning_rate": 4.213021241176096e-05,
|
| 2457 |
+
"loss": 0.667,
|
| 2458 |
+
"step": 3430
|
| 2459 |
+
},
|
| 2460 |
+
{
|
| 2461 |
+
"epoch": 1.66,
|
| 2462 |
+
"grad_norm": 0.2014080286026001,
|
| 2463 |
+
"learning_rate": 4.2068901990009726e-05,
|
| 2464 |
+
"loss": 0.6441,
|
| 2465 |
+
"step": 3440
|
| 2466 |
+
},
|
| 2467 |
+
{
|
| 2468 |
+
"epoch": 1.67,
|
| 2469 |
+
"grad_norm": 0.17385190725326538,
|
| 2470 |
+
"learning_rate": 4.200739866200363e-05,
|
| 2471 |
+
"loss": 0.6564,
|
| 2472 |
+
"step": 3450
|
| 2473 |
+
},
|
| 2474 |
+
{
|
| 2475 |
+
"epoch": 1.67,
|
| 2476 |
+
"grad_norm": 0.20427776873111725,
|
| 2477 |
+
"learning_rate": 4.1945703122829924e-05,
|
| 2478 |
+
"loss": 0.6509,
|
| 2479 |
+
"step": 3460
|
| 2480 |
+
},
|
| 2481 |
+
{
|
| 2482 |
+
"epoch": 1.68,
|
| 2483 |
+
"grad_norm": 0.2093549370765686,
|
| 2484 |
+
"learning_rate": 4.1883816069748214e-05,
|
| 2485 |
+
"loss": 0.6741,
|
| 2486 |
+
"step": 3470
|
| 2487 |
+
},
|
| 2488 |
+
{
|
| 2489 |
+
"epoch": 1.68,
|
| 2490 |
+
"grad_norm": 0.21946479380130768,
|
| 2491 |
+
"learning_rate": 4.182173820218249e-05,
|
| 2492 |
+
"loss": 0.6778,
|
| 2493 |
+
"step": 3480
|
| 2494 |
+
},
|
| 2495 |
+
{
|
| 2496 |
+
"epoch": 1.69,
|
| 2497 |
+
"grad_norm": 0.2244766503572464,
|
| 2498 |
+
"learning_rate": 4.175947022171326e-05,
|
| 2499 |
+
"loss": 0.681,
|
| 2500 |
+
"step": 3490
|
| 2501 |
+
},
|
| 2502 |
+
{
|
| 2503 |
+
"epoch": 1.69,
|
| 2504 |
+
"grad_norm": 0.22939437627792358,
|
| 2505 |
+
"learning_rate": 4.169701283206961e-05,
|
| 2506 |
+
"loss": 0.6595,
|
| 2507 |
+
"step": 3500
|
| 2508 |
+
},
|
| 2509 |
+
{
|
| 2510 |
+
"epoch": 1.69,
|
| 2511 |
+
"eval_loss": 0.6864724159240723,
|
| 2512 |
+
"eval_runtime": 43.0148,
|
| 2513 |
+
"eval_samples_per_second": 46.496,
|
| 2514 |
+
"eval_steps_per_second": 0.372,
|
| 2515 |
+
"step": 3500
|
| 2516 |
+
},
|
| 2517 |
+
{
|
| 2518 |
+
"epoch": 1.7,
|
| 2519 |
+
"grad_norm": 0.2838324010372162,
|
| 2520 |
+
"learning_rate": 4.163436673912127e-05,
|
| 2521 |
+
"loss": 0.666,
|
| 2522 |
+
"step": 3510
|
| 2523 |
+
},
|
| 2524 |
+
{
|
| 2525 |
+
"epoch": 1.7,
|
| 2526 |
+
"grad_norm": 0.1862134337425232,
|
| 2527 |
+
"learning_rate": 4.1571532650870614e-05,
|
| 2528 |
+
"loss": 0.6671,
|
| 2529 |
+
"step": 3520
|
| 2530 |
+
},
|
| 2531 |
+
{
|
| 2532 |
+
"epoch": 1.71,
|
| 2533 |
+
"grad_norm": 0.2170250117778778,
|
| 2534 |
+
"learning_rate": 4.1508511277444674e-05,
|
| 2535 |
+
"loss": 0.6566,
|
| 2536 |
+
"step": 3530
|
| 2537 |
+
},
|
| 2538 |
+
{
|
| 2539 |
+
"epoch": 1.71,
|
| 2540 |
+
"grad_norm": 0.17831502854824066,
|
| 2541 |
+
"learning_rate": 4.1445303331087096e-05,
|
| 2542 |
+
"loss": 0.6776,
|
| 2543 |
+
"step": 3540
|
| 2544 |
+
},
|
| 2545 |
+
{
|
| 2546 |
+
"epoch": 1.72,
|
| 2547 |
+
"grad_norm": 0.17921501398086548,
|
| 2548 |
+
"learning_rate": 4.138190952615012e-05,
|
| 2549 |
+
"loss": 0.6876,
|
| 2550 |
+
"step": 3550
|
| 2551 |
+
},
|
| 2552 |
+
{
|
| 2553 |
+
"epoch": 1.72,
|
| 2554 |
+
"grad_norm": 0.19673947989940643,
|
| 2555 |
+
"learning_rate": 4.131833057908648e-05,
|
| 2556 |
+
"loss": 0.6596,
|
| 2557 |
+
"step": 3560
|
| 2558 |
+
},
|
| 2559 |
+
{
|
| 2560 |
+
"epoch": 1.73,
|
| 2561 |
+
"grad_norm": 0.1829831749200821,
|
| 2562 |
+
"learning_rate": 4.1254567208441296e-05,
|
| 2563 |
+
"loss": 0.6712,
|
| 2564 |
+
"step": 3570
|
| 2565 |
+
},
|
| 2566 |
+
{
|
| 2567 |
+
"epoch": 1.73,
|
| 2568 |
+
"grad_norm": 0.3023044764995575,
|
| 2569 |
+
"learning_rate": 4.119062013484402e-05,
|
| 2570 |
+
"loss": 0.6747,
|
| 2571 |
+
"step": 3580
|
| 2572 |
+
},
|
| 2573 |
+
{
|
| 2574 |
+
"epoch": 1.74,
|
| 2575 |
+
"grad_norm": 0.21133002638816833,
|
| 2576 |
+
"learning_rate": 4.11264900810002e-05,
|
| 2577 |
+
"loss": 0.674,
|
| 2578 |
+
"step": 3590
|
| 2579 |
+
},
|
| 2580 |
+
{
|
| 2581 |
+
"epoch": 1.74,
|
| 2582 |
+
"grad_norm": 0.19868247210979462,
|
| 2583 |
+
"learning_rate": 4.106217777168339e-05,
|
| 2584 |
+
"loss": 0.68,
|
| 2585 |
+
"step": 3600
|
| 2586 |
+
},
|
| 2587 |
+
{
|
| 2588 |
+
"epoch": 1.74,
|
| 2589 |
+
"grad_norm": 0.21643079817295074,
|
| 2590 |
+
"learning_rate": 4.0997683933726894e-05,
|
| 2591 |
+
"loss": 0.6555,
|
| 2592 |
+
"step": 3610
|
| 2593 |
+
},
|
| 2594 |
+
{
|
| 2595 |
+
"epoch": 1.75,
|
| 2596 |
+
"grad_norm": 0.1953793615102768,
|
| 2597 |
+
"learning_rate": 4.093300929601562e-05,
|
| 2598 |
+
"loss": 0.6704,
|
| 2599 |
+
"step": 3620
|
| 2600 |
+
},
|
| 2601 |
+
{
|
| 2602 |
+
"epoch": 1.75,
|
| 2603 |
+
"grad_norm": 0.21795640885829926,
|
| 2604 |
+
"learning_rate": 4.086815458947777e-05,
|
| 2605 |
+
"loss": 0.6583,
|
| 2606 |
+
"step": 3630
|
| 2607 |
+
},
|
| 2608 |
+
{
|
| 2609 |
+
"epoch": 1.76,
|
| 2610 |
+
"grad_norm": 0.22441154718399048,
|
| 2611 |
+
"learning_rate": 4.080312054707665e-05,
|
| 2612 |
+
"loss": 0.6772,
|
| 2613 |
+
"step": 3640
|
| 2614 |
+
},
|
| 2615 |
+
{
|
| 2616 |
+
"epoch": 1.76,
|
| 2617 |
+
"grad_norm": 0.20651431381702423,
|
| 2618 |
+
"learning_rate": 4.073790790380232e-05,
|
| 2619 |
+
"loss": 0.6793,
|
| 2620 |
+
"step": 3650
|
| 2621 |
+
},
|
| 2622 |
+
{
|
| 2623 |
+
"epoch": 1.77,
|
| 2624 |
+
"grad_norm": 0.21724598109722137,
|
| 2625 |
+
"learning_rate": 4.0672517396663354e-05,
|
| 2626 |
+
"loss": 0.6742,
|
| 2627 |
+
"step": 3660
|
| 2628 |
+
},
|
| 2629 |
+
{
|
| 2630 |
+
"epoch": 1.77,
|
| 2631 |
+
"grad_norm": 0.27277424931526184,
|
| 2632 |
+
"learning_rate": 4.0606949764678434e-05,
|
| 2633 |
+
"loss": 0.6495,
|
| 2634 |
+
"step": 3670
|
| 2635 |
+
},
|
| 2636 |
+
{
|
| 2637 |
+
"epoch": 1.78,
|
| 2638 |
+
"grad_norm": 0.21489045023918152,
|
| 2639 |
+
"learning_rate": 4.054120574886808e-05,
|
| 2640 |
+
"loss": 0.6516,
|
| 2641 |
+
"step": 3680
|
| 2642 |
+
},
|
| 2643 |
+
{
|
| 2644 |
+
"epoch": 1.78,
|
| 2645 |
+
"grad_norm": 0.19597062468528748,
|
| 2646 |
+
"learning_rate": 4.0475286092246215e-05,
|
| 2647 |
+
"loss": 0.6498,
|
| 2648 |
+
"step": 3690
|
| 2649 |
+
},
|
| 2650 |
+
{
|
| 2651 |
+
"epoch": 1.79,
|
| 2652 |
+
"grad_norm": 0.20840667188167572,
|
| 2653 |
+
"learning_rate": 4.0409191539811774e-05,
|
| 2654 |
+
"loss": 0.6394,
|
| 2655 |
+
"step": 3700
|
| 2656 |
+
},
|
| 2657 |
+
{
|
| 2658 |
+
"epoch": 1.79,
|
| 2659 |
+
"grad_norm": 0.23823177814483643,
|
| 2660 |
+
"learning_rate": 4.0342922838540334e-05,
|
| 2661 |
+
"loss": 0.6798,
|
| 2662 |
+
"step": 3710
|
| 2663 |
+
},
|
| 2664 |
+
{
|
| 2665 |
+
"epoch": 1.8,
|
| 2666 |
+
"grad_norm": 0.20505908131599426,
|
| 2667 |
+
"learning_rate": 4.0276480737375606e-05,
|
| 2668 |
+
"loss": 0.6607,
|
| 2669 |
+
"step": 3720
|
| 2670 |
+
},
|
| 2671 |
+
{
|
| 2672 |
+
"epoch": 1.8,
|
| 2673 |
+
"grad_norm": 0.28554779291152954,
|
| 2674 |
+
"learning_rate": 4.0209865987221014e-05,
|
| 2675 |
+
"loss": 0.6467,
|
| 2676 |
+
"step": 3730
|
| 2677 |
+
},
|
| 2678 |
+
{
|
| 2679 |
+
"epoch": 1.81,
|
| 2680 |
+
"grad_norm": 0.24168336391448975,
|
| 2681 |
+
"learning_rate": 4.014307934093119e-05,
|
| 2682 |
+
"loss": 0.6625,
|
| 2683 |
+
"step": 3740
|
| 2684 |
+
},
|
| 2685 |
+
{
|
| 2686 |
+
"epoch": 1.81,
|
| 2687 |
+
"grad_norm": 0.21519850194454193,
|
| 2688 |
+
"learning_rate": 4.007612155330348e-05,
|
| 2689 |
+
"loss": 0.6431,
|
| 2690 |
+
"step": 3750
|
| 2691 |
+
},
|
| 2692 |
+
{
|
| 2693 |
+
"epoch": 1.82,
|
| 2694 |
+
"grad_norm": 0.1954280287027359,
|
| 2695 |
+
"learning_rate": 4.000899338106939e-05,
|
| 2696 |
+
"loss": 0.6669,
|
| 2697 |
+
"step": 3760
|
| 2698 |
+
},
|
| 2699 |
+
{
|
| 2700 |
+
"epoch": 1.82,
|
| 2701 |
+
"grad_norm": 0.22829805314540863,
|
| 2702 |
+
"learning_rate": 3.9941695582886065e-05,
|
| 2703 |
+
"loss": 0.6507,
|
| 2704 |
+
"step": 3770
|
| 2705 |
+
},
|
| 2706 |
+
{
|
| 2707 |
+
"epoch": 1.83,
|
| 2708 |
+
"grad_norm": 0.30064237117767334,
|
| 2709 |
+
"learning_rate": 3.9874228919327685e-05,
|
| 2710 |
+
"loss": 0.664,
|
| 2711 |
+
"step": 3780
|
| 2712 |
+
},
|
| 2713 |
+
{
|
| 2714 |
+
"epoch": 1.83,
|
| 2715 |
+
"grad_norm": 0.21391743421554565,
|
| 2716 |
+
"learning_rate": 3.980659415287689e-05,
|
| 2717 |
+
"loss": 0.6577,
|
| 2718 |
+
"step": 3790
|
| 2719 |
+
},
|
| 2720 |
+
{
|
| 2721 |
+
"epoch": 1.84,
|
| 2722 |
+
"grad_norm": 0.237900048494339,
|
| 2723 |
+
"learning_rate": 3.9738792047916143e-05,
|
| 2724 |
+
"loss": 0.6678,
|
| 2725 |
+
"step": 3800
|
| 2726 |
+
},
|
| 2727 |
+
{
|
| 2728 |
+
"epoch": 1.84,
|
| 2729 |
+
"grad_norm": 0.2035730481147766,
|
| 2730 |
+
"learning_rate": 3.967082337071911e-05,
|
| 2731 |
+
"loss": 0.6822,
|
| 2732 |
+
"step": 3810
|
| 2733 |
+
},
|
| 2734 |
+
{
|
| 2735 |
+
"epoch": 1.85,
|
| 2736 |
+
"grad_norm": 0.25883620977401733,
|
| 2737 |
+
"learning_rate": 3.960268888944202e-05,
|
| 2738 |
+
"loss": 0.6657,
|
| 2739 |
+
"step": 3820
|
| 2740 |
+
},
|
| 2741 |
+
{
|
| 2742 |
+
"epoch": 1.85,
|
| 2743 |
+
"grad_norm": 0.21861082315444946,
|
| 2744 |
+
"learning_rate": 3.9534389374114905e-05,
|
| 2745 |
+
"loss": 0.6608,
|
| 2746 |
+
"step": 3830
|
| 2747 |
+
},
|
| 2748 |
+
{
|
| 2749 |
+
"epoch": 1.86,
|
| 2750 |
+
"grad_norm": 0.2185363620519638,
|
| 2751 |
+
"learning_rate": 3.946592559663299e-05,
|
| 2752 |
+
"loss": 0.6763,
|
| 2753 |
+
"step": 3840
|
| 2754 |
+
},
|
| 2755 |
+
{
|
| 2756 |
+
"epoch": 1.86,
|
| 2757 |
+
"grad_norm": 0.2056983858346939,
|
| 2758 |
+
"learning_rate": 3.9397298330747905e-05,
|
| 2759 |
+
"loss": 0.6703,
|
| 2760 |
+
"step": 3850
|
| 2761 |
+
},
|
| 2762 |
+
{
|
| 2763 |
+
"epoch": 1.87,
|
| 2764 |
+
"grad_norm": 0.19903923571109772,
|
| 2765 |
+
"learning_rate": 3.932850835205899e-05,
|
| 2766 |
+
"loss": 0.6887,
|
| 2767 |
+
"step": 3860
|
| 2768 |
+
},
|
| 2769 |
+
{
|
| 2770 |
+
"epoch": 1.87,
|
| 2771 |
+
"grad_norm": 0.19114772975444794,
|
| 2772 |
+
"learning_rate": 3.9259556438004476e-05,
|
| 2773 |
+
"loss": 0.6563,
|
| 2774 |
+
"step": 3870
|
| 2775 |
+
},
|
| 2776 |
+
{
|
| 2777 |
+
"epoch": 1.88,
|
| 2778 |
+
"grad_norm": 0.20320531725883484,
|
| 2779 |
+
"learning_rate": 3.9190443367852736e-05,
|
| 2780 |
+
"loss": 0.6471,
|
| 2781 |
+
"step": 3880
|
| 2782 |
+
},
|
| 2783 |
+
{
|
| 2784 |
+
"epoch": 1.88,
|
| 2785 |
+
"grad_norm": 0.23587201535701752,
|
| 2786 |
+
"learning_rate": 3.912116992269348e-05,
|
| 2787 |
+
"loss": 0.6705,
|
| 2788 |
+
"step": 3890
|
| 2789 |
+
},
|
| 2790 |
+
{
|
| 2791 |
+
"epoch": 1.88,
|
| 2792 |
+
"grad_norm": 0.19107288122177124,
|
| 2793 |
+
"learning_rate": 3.9051736885428886e-05,
|
| 2794 |
+
"loss": 0.6696,
|
| 2795 |
+
"step": 3900
|
| 2796 |
+
},
|
| 2797 |
+
{
|
| 2798 |
+
"epoch": 1.89,
|
| 2799 |
+
"grad_norm": 0.20316600799560547,
|
| 2800 |
+
"learning_rate": 3.898214504076482e-05,
|
| 2801 |
+
"loss": 0.6724,
|
| 2802 |
+
"step": 3910
|
| 2803 |
+
},
|
| 2804 |
+
{
|
| 2805 |
+
"epoch": 1.89,
|
| 2806 |
+
"grad_norm": 0.2201535403728485,
|
| 2807 |
+
"learning_rate": 3.89123951752019e-05,
|
| 2808 |
+
"loss": 0.658,
|
| 2809 |
+
"step": 3920
|
| 2810 |
+
},
|
| 2811 |
+
{
|
| 2812 |
+
"epoch": 1.9,
|
| 2813 |
+
"grad_norm": 0.20604528486728668,
|
| 2814 |
+
"learning_rate": 3.884248807702665e-05,
|
| 2815 |
+
"loss": 0.6746,
|
| 2816 |
+
"step": 3930
|
| 2817 |
+
},
|
| 2818 |
+
{
|
| 2819 |
+
"epoch": 1.9,
|
| 2820 |
+
"grad_norm": 0.24204471707344055,
|
| 2821 |
+
"learning_rate": 3.8772424536302564e-05,
|
| 2822 |
+
"loss": 0.6737,
|
| 2823 |
+
"step": 3940
|
| 2824 |
+
},
|
| 2825 |
+
{
|
| 2826 |
+
"epoch": 1.91,
|
| 2827 |
+
"grad_norm": 0.20363375544548035,
|
| 2828 |
+
"learning_rate": 3.870220534486121e-05,
|
| 2829 |
+
"loss": 0.669,
|
| 2830 |
+
"step": 3950
|
| 2831 |
+
},
|
| 2832 |
+
{
|
| 2833 |
+
"epoch": 1.91,
|
| 2834 |
+
"grad_norm": 0.22277967631816864,
|
| 2835 |
+
"learning_rate": 3.8631831296293246e-05,
|
| 2836 |
+
"loss": 0.6676,
|
| 2837 |
+
"step": 3960
|
| 2838 |
+
},
|
| 2839 |
+
{
|
| 2840 |
+
"epoch": 1.92,
|
| 2841 |
+
"grad_norm": 0.18391238152980804,
|
| 2842 |
+
"learning_rate": 3.856130318593947e-05,
|
| 2843 |
+
"loss": 0.6651,
|
| 2844 |
+
"step": 3970
|
| 2845 |
+
},
|
| 2846 |
+
{
|
| 2847 |
+
"epoch": 1.92,
|
| 2848 |
+
"grad_norm": 0.185078427195549,
|
| 2849 |
+
"learning_rate": 3.849062181088183e-05,
|
| 2850 |
+
"loss": 0.6432,
|
| 2851 |
+
"step": 3980
|
| 2852 |
+
},
|
| 2853 |
+
{
|
| 2854 |
+
"epoch": 1.93,
|
| 2855 |
+
"grad_norm": 0.2277977466583252,
|
| 2856 |
+
"learning_rate": 3.841978796993442e-05,
|
| 2857 |
+
"loss": 0.6518,
|
| 2858 |
+
"step": 3990
|
| 2859 |
+
},
|
| 2860 |
+
{
|
| 2861 |
+
"epoch": 1.93,
|
| 2862 |
+
"grad_norm": 0.22232377529144287,
|
| 2863 |
+
"learning_rate": 3.834880246363443e-05,
|
| 2864 |
+
"loss": 0.6743,
|
| 2865 |
+
"step": 4000
|
| 2866 |
+
},
|
| 2867 |
+
{
|
| 2868 |
+
"epoch": 1.93,
|
| 2869 |
+
"eval_loss": 0.6847629547119141,
|
| 2870 |
+
"eval_runtime": 42.7658,
|
| 2871 |
+
"eval_samples_per_second": 46.766,
|
| 2872 |
+
"eval_steps_per_second": 0.374,
|
| 2873 |
+
"step": 4000
|
| 2874 |
+
},
|
| 2875 |
+
{
|
| 2876 |
+
"epoch": 1.94,
|
| 2877 |
+
"grad_norm": 0.20745177567005157,
|
| 2878 |
+
"learning_rate": 3.8277666094233115e-05,
|
| 2879 |
+
"loss": 0.6787,
|
| 2880 |
+
"step": 4010
|
| 2881 |
+
},
|
| 2882 |
+
{
|
| 2883 |
+
"epoch": 1.94,
|
| 2884 |
+
"grad_norm": 0.21468785405158997,
|
| 2885 |
+
"learning_rate": 3.820637966568675e-05,
|
| 2886 |
+
"loss": 0.6603,
|
| 2887 |
+
"step": 4020
|
| 2888 |
+
},
|
| 2889 |
+
{
|
| 2890 |
+
"epoch": 1.95,
|
| 2891 |
+
"grad_norm": 0.18202567100524902,
|
| 2892 |
+
"learning_rate": 3.81349439836475e-05,
|
| 2893 |
+
"loss": 0.6487,
|
| 2894 |
+
"step": 4030
|
| 2895 |
+
},
|
| 2896 |
+
{
|
| 2897 |
+
"epoch": 1.95,
|
| 2898 |
+
"grad_norm": 0.21424496173858643,
|
| 2899 |
+
"learning_rate": 3.806335985545434e-05,
|
| 2900 |
+
"loss": 0.6674,
|
| 2901 |
+
"step": 4040
|
| 2902 |
+
},
|
| 2903 |
+
{
|
| 2904 |
+
"epoch": 1.96,
|
| 2905 |
+
"grad_norm": 0.19061969220638275,
|
| 2906 |
+
"learning_rate": 3.7991628090123933e-05,
|
| 2907 |
+
"loss": 0.651,
|
| 2908 |
+
"step": 4050
|
| 2909 |
+
},
|
| 2910 |
+
{
|
| 2911 |
+
"epoch": 1.96,
|
| 2912 |
+
"grad_norm": 0.20192697644233704,
|
| 2913 |
+
"learning_rate": 3.7919749498341477e-05,
|
| 2914 |
+
"loss": 0.661,
|
| 2915 |
+
"step": 4060
|
| 2916 |
+
},
|
| 2917 |
+
{
|
| 2918 |
+
"epoch": 1.97,
|
| 2919 |
+
"grad_norm": 0.1942390650510788,
|
| 2920 |
+
"learning_rate": 3.784772489245155e-05,
|
| 2921 |
+
"loss": 0.6688,
|
| 2922 |
+
"step": 4070
|
| 2923 |
+
},
|
| 2924 |
+
{
|
| 2925 |
+
"epoch": 1.97,
|
| 2926 |
+
"grad_norm": 0.19686420261859894,
|
| 2927 |
+
"learning_rate": 3.777555508644893e-05,
|
| 2928 |
+
"loss": 0.6492,
|
| 2929 |
+
"step": 4080
|
| 2930 |
+
},
|
| 2931 |
+
{
|
| 2932 |
+
"epoch": 1.98,
|
| 2933 |
+
"grad_norm": 0.2590291202068329,
|
| 2934 |
+
"learning_rate": 3.770324089596937e-05,
|
| 2935 |
+
"loss": 0.6597,
|
| 2936 |
+
"step": 4090
|
| 2937 |
+
},
|
| 2938 |
+
{
|
| 2939 |
+
"epoch": 1.98,
|
| 2940 |
+
"grad_norm": 0.208131343126297,
|
| 2941 |
+
"learning_rate": 3.763078313828043e-05,
|
| 2942 |
+
"loss": 0.6695,
|
| 2943 |
+
"step": 4100
|
| 2944 |
+
},
|
| 2945 |
+
{
|
| 2946 |
+
"epoch": 1.99,
|
| 2947 |
+
"grad_norm": 0.215104341506958,
|
| 2948 |
+
"learning_rate": 3.755818263227219e-05,
|
| 2949 |
+
"loss": 0.6521,
|
| 2950 |
+
"step": 4110
|
| 2951 |
+
},
|
| 2952 |
+
{
|
| 2953 |
+
"epoch": 1.99,
|
| 2954 |
+
"grad_norm": 0.22334003448486328,
|
| 2955 |
+
"learning_rate": 3.748544019844803e-05,
|
| 2956 |
+
"loss": 0.6775,
|
| 2957 |
+
"step": 4120
|
| 2958 |
+
},
|
| 2959 |
+
{
|
| 2960 |
+
"epoch": 2.0,
|
| 2961 |
+
"grad_norm": 0.2614120841026306,
|
| 2962 |
+
"learning_rate": 3.741255665891534e-05,
|
| 2963 |
+
"loss": 0.6643,
|
| 2964 |
+
"step": 4130
|
| 2965 |
+
},
|
| 2966 |
+
{
|
| 2967 |
+
"epoch": 2.0,
|
| 2968 |
+
"grad_norm": 0.22348462045192719,
|
| 2969 |
+
"learning_rate": 3.733953283737625e-05,
|
| 2970 |
+
"loss": 0.6598,
|
| 2971 |
+
"step": 4140
|
| 2972 |
+
},
|
| 2973 |
+
{
|
| 2974 |
+
"epoch": 2.01,
|
| 2975 |
+
"grad_norm": 0.21082797646522522,
|
| 2976 |
+
"learning_rate": 3.726636955911825e-05,
|
| 2977 |
+
"loss": 0.6697,
|
| 2978 |
+
"step": 4150
|
| 2979 |
+
},
|
| 2980 |
+
{
|
| 2981 |
+
"epoch": 2.01,
|
| 2982 |
+
"grad_norm": 0.20834925770759583,
|
| 2983 |
+
"learning_rate": 3.719306765100499e-05,
|
| 2984 |
+
"loss": 0.6562,
|
| 2985 |
+
"step": 4160
|
| 2986 |
+
},
|
| 2987 |
+
{
|
| 2988 |
+
"epoch": 2.02,
|
| 2989 |
+
"grad_norm": 0.223398357629776,
|
| 2990 |
+
"learning_rate": 3.711962794146682e-05,
|
| 2991 |
+
"loss": 0.6403,
|
| 2992 |
+
"step": 4170
|
| 2993 |
+
},
|
| 2994 |
+
{
|
| 2995 |
+
"epoch": 2.02,
|
| 2996 |
+
"grad_norm": 0.1990179866552353,
|
| 2997 |
+
"learning_rate": 3.704605126049147e-05,
|
| 2998 |
+
"loss": 0.6662,
|
| 2999 |
+
"step": 4180
|
| 3000 |
+
},
|
| 3001 |
+
{
|
| 3002 |
+
"epoch": 2.03,
|
| 3003 |
+
"grad_norm": 0.20885860919952393,
|
| 3004 |
+
"learning_rate": 3.6972338439614676e-05,
|
| 3005 |
+
"loss": 0.6669,
|
| 3006 |
+
"step": 4190
|
| 3007 |
+
},
|
| 3008 |
+
{
|
| 3009 |
+
"epoch": 2.03,
|
| 3010 |
+
"grad_norm": 0.21816882491111755,
|
| 3011 |
+
"learning_rate": 3.6898490311910774e-05,
|
| 3012 |
+
"loss": 0.6378,
|
| 3013 |
+
"step": 4200
|
| 3014 |
+
},
|
| 3015 |
+
{
|
| 3016 |
+
"epoch": 2.03,
|
| 3017 |
+
"grad_norm": 0.21286895871162415,
|
| 3018 |
+
"learning_rate": 3.6824507711983294e-05,
|
| 3019 |
+
"loss": 0.633,
|
| 3020 |
+
"step": 4210
|
| 3021 |
+
},
|
| 3022 |
+
{
|
| 3023 |
+
"epoch": 2.04,
|
| 3024 |
+
"grad_norm": 0.20113909244537354,
|
| 3025 |
+
"learning_rate": 3.6750391475955506e-05,
|
| 3026 |
+
"loss": 0.6561,
|
| 3027 |
+
"step": 4220
|
| 3028 |
+
},
|
| 3029 |
+
{
|
| 3030 |
+
"epoch": 2.04,
|
| 3031 |
+
"grad_norm": 0.1805492788553238,
|
| 3032 |
+
"learning_rate": 3.6676142441461e-05,
|
| 3033 |
+
"loss": 0.6478,
|
| 3034 |
+
"step": 4230
|
| 3035 |
+
},
|
| 3036 |
+
{
|
| 3037 |
+
"epoch": 2.05,
|
| 3038 |
+
"grad_norm": 0.198676198720932,
|
| 3039 |
+
"learning_rate": 3.66017614476342e-05,
|
| 3040 |
+
"loss": 0.6477,
|
| 3041 |
+
"step": 4240
|
| 3042 |
+
},
|
| 3043 |
+
{
|
| 3044 |
+
"epoch": 2.05,
|
| 3045 |
+
"grad_norm": 0.18248610198497772,
|
| 3046 |
+
"learning_rate": 3.6527249335100856e-05,
|
| 3047 |
+
"loss": 0.6476,
|
| 3048 |
+
"step": 4250
|
| 3049 |
+
},
|
| 3050 |
+
{
|
| 3051 |
+
"epoch": 2.06,
|
| 3052 |
+
"grad_norm": 0.20229819416999817,
|
| 3053 |
+
"learning_rate": 3.645260694596862e-05,
|
| 3054 |
+
"loss": 0.6675,
|
| 3055 |
+
"step": 4260
|
| 3056 |
+
},
|
| 3057 |
+
{
|
| 3058 |
+
"epoch": 2.06,
|
| 3059 |
+
"grad_norm": 0.24611905217170715,
|
| 3060 |
+
"learning_rate": 3.637783512381745e-05,
|
| 3061 |
+
"loss": 0.6546,
|
| 3062 |
+
"step": 4270
|
| 3063 |
+
},
|
| 3064 |
+
{
|
| 3065 |
+
"epoch": 2.07,
|
| 3066 |
+
"grad_norm": 0.1821327954530716,
|
| 3067 |
+
"learning_rate": 3.6302934713690114e-05,
|
| 3068 |
+
"loss": 0.6482,
|
| 3069 |
+
"step": 4280
|
| 3070 |
+
},
|
| 3071 |
+
{
|
| 3072 |
+
"epoch": 2.07,
|
| 3073 |
+
"grad_norm": 0.19002540409564972,
|
| 3074 |
+
"learning_rate": 3.622790656208263e-05,
|
| 3075 |
+
"loss": 0.6468,
|
| 3076 |
+
"step": 4290
|
| 3077 |
+
},
|
| 3078 |
+
{
|
| 3079 |
+
"epoch": 2.08,
|
| 3080 |
+
"grad_norm": 0.20899777114391327,
|
| 3081 |
+
"learning_rate": 3.615275151693471e-05,
|
| 3082 |
+
"loss": 0.6649,
|
| 3083 |
+
"step": 4300
|
| 3084 |
+
},
|
| 3085 |
+
{
|
| 3086 |
+
"epoch": 2.08,
|
| 3087 |
+
"grad_norm": 0.1918490082025528,
|
| 3088 |
+
"learning_rate": 3.607747042762016e-05,
|
| 3089 |
+
"loss": 0.6554,
|
| 3090 |
+
"step": 4310
|
| 3091 |
+
},
|
| 3092 |
+
{
|
| 3093 |
+
"epoch": 2.09,
|
| 3094 |
+
"grad_norm": 0.2790839970111847,
|
| 3095 |
+
"learning_rate": 3.600206414493728e-05,
|
| 3096 |
+
"loss": 0.6607,
|
| 3097 |
+
"step": 4320
|
| 3098 |
+
},
|
| 3099 |
+
{
|
| 3100 |
+
"epoch": 2.09,
|
| 3101 |
+
"grad_norm": 0.21416689455509186,
|
| 3102 |
+
"learning_rate": 3.592653352109929e-05,
|
| 3103 |
+
"loss": 0.6537,
|
| 3104 |
+
"step": 4330
|
| 3105 |
+
},
|
| 3106 |
+
{
|
| 3107 |
+
"epoch": 2.1,
|
| 3108 |
+
"grad_norm": 0.19238290190696716,
|
| 3109 |
+
"learning_rate": 3.5850879409724624e-05,
|
| 3110 |
+
"loss": 0.6566,
|
| 3111 |
+
"step": 4340
|
| 3112 |
+
},
|
| 3113 |
+
{
|
| 3114 |
+
"epoch": 2.1,
|
| 3115 |
+
"grad_norm": 0.24673143029212952,
|
| 3116 |
+
"learning_rate": 3.577510266582737e-05,
|
| 3117 |
+
"loss": 0.6599,
|
| 3118 |
+
"step": 4350
|
| 3119 |
+
},
|
| 3120 |
+
{
|
| 3121 |
+
"epoch": 2.11,
|
| 3122 |
+
"grad_norm": 0.1863541454076767,
|
| 3123 |
+
"learning_rate": 3.569920414580754e-05,
|
| 3124 |
+
"loss": 0.6593,
|
| 3125 |
+
"step": 4360
|
| 3126 |
+
},
|
| 3127 |
+
{
|
| 3128 |
+
"epoch": 2.11,
|
| 3129 |
+
"grad_norm": 0.2196236401796341,
|
| 3130 |
+
"learning_rate": 3.56231847074414e-05,
|
| 3131 |
+
"loss": 0.6483,
|
| 3132 |
+
"step": 4370
|
| 3133 |
+
},
|
| 3134 |
+
{
|
| 3135 |
+
"epoch": 2.12,
|
| 3136 |
+
"grad_norm": 0.18300732970237732,
|
| 3137 |
+
"learning_rate": 3.5547045209871806e-05,
|
| 3138 |
+
"loss": 0.6359,
|
| 3139 |
+
"step": 4380
|
| 3140 |
+
},
|
| 3141 |
+
{
|
| 3142 |
+
"epoch": 2.12,
|
| 3143 |
+
"grad_norm": 0.18719661235809326,
|
| 3144 |
+
"learning_rate": 3.5470786513598476e-05,
|
| 3145 |
+
"loss": 0.6707,
|
| 3146 |
+
"step": 4390
|
| 3147 |
+
},
|
| 3148 |
+
{
|
| 3149 |
+
"epoch": 2.13,
|
| 3150 |
+
"grad_norm": 0.1748167872428894,
|
| 3151 |
+
"learning_rate": 3.539440948046827e-05,
|
| 3152 |
+
"loss": 0.6516,
|
| 3153 |
+
"step": 4400
|
| 3154 |
+
},
|
| 3155 |
+
{
|
| 3156 |
+
"epoch": 2.13,
|
| 3157 |
+
"grad_norm": 0.21993610262870789,
|
| 3158 |
+
"learning_rate": 3.531791497366543e-05,
|
| 3159 |
+
"loss": 0.6539,
|
| 3160 |
+
"step": 4410
|
| 3161 |
+
},
|
| 3162 |
+
{
|
| 3163 |
+
"epoch": 2.14,
|
| 3164 |
+
"grad_norm": 0.20704199373722076,
|
| 3165 |
+
"learning_rate": 3.524130385770186e-05,
|
| 3166 |
+
"loss": 0.6734,
|
| 3167 |
+
"step": 4420
|
| 3168 |
+
},
|
| 3169 |
+
{
|
| 3170 |
+
"epoch": 2.14,
|
| 3171 |
+
"grad_norm": 0.23367135226726532,
|
| 3172 |
+
"learning_rate": 3.516457699840733e-05,
|
| 3173 |
+
"loss": 0.6855,
|
| 3174 |
+
"step": 4430
|
| 3175 |
+
},
|
| 3176 |
+
{
|
| 3177 |
+
"epoch": 2.15,
|
| 3178 |
+
"grad_norm": 0.1824340671300888,
|
| 3179 |
+
"learning_rate": 3.50877352629197e-05,
|
| 3180 |
+
"loss": 0.6575,
|
| 3181 |
+
"step": 4440
|
| 3182 |
+
},
|
| 3183 |
+
{
|
| 3184 |
+
"epoch": 2.15,
|
| 3185 |
+
"grad_norm": 0.22375932335853577,
|
| 3186 |
+
"learning_rate": 3.50107795196751e-05,
|
| 3187 |
+
"loss": 0.6487,
|
| 3188 |
+
"step": 4450
|
| 3189 |
+
},
|
| 3190 |
+
{
|
| 3191 |
+
"epoch": 2.16,
|
| 3192 |
+
"grad_norm": 0.23603610694408417,
|
| 3193 |
+
"learning_rate": 3.4933710638398156e-05,
|
| 3194 |
+
"loss": 0.6505,
|
| 3195 |
+
"step": 4460
|
| 3196 |
+
},
|
| 3197 |
+
{
|
| 3198 |
+
"epoch": 2.16,
|
| 3199 |
+
"grad_norm": 0.22663302719593048,
|
| 3200 |
+
"learning_rate": 3.485652949009212e-05,
|
| 3201 |
+
"loss": 0.6569,
|
| 3202 |
+
"step": 4470
|
| 3203 |
+
},
|
| 3204 |
+
{
|
| 3205 |
+
"epoch": 2.17,
|
| 3206 |
+
"grad_norm": 0.21095499396324158,
|
| 3207 |
+
"learning_rate": 3.4779236947029055e-05,
|
| 3208 |
+
"loss": 0.6657,
|
| 3209 |
+
"step": 4480
|
| 3210 |
+
},
|
| 3211 |
+
{
|
| 3212 |
+
"epoch": 2.17,
|
| 3213 |
+
"grad_norm": 0.2422657608985901,
|
| 3214 |
+
"learning_rate": 3.470183388273995e-05,
|
| 3215 |
+
"loss": 0.645,
|
| 3216 |
+
"step": 4490
|
| 3217 |
+
},
|
| 3218 |
+
{
|
| 3219 |
+
"epoch": 2.17,
|
| 3220 |
+
"grad_norm": 0.19883093237876892,
|
| 3221 |
+
"learning_rate": 3.462432117200489e-05,
|
| 3222 |
+
"loss": 0.6647,
|
| 3223 |
+
"step": 4500
|
| 3224 |
+
},
|
| 3225 |
+
{
|
| 3226 |
+
"epoch": 2.17,
|
| 3227 |
+
"eval_loss": 0.6818509697914124,
|
| 3228 |
+
"eval_runtime": 42.9789,
|
| 3229 |
+
"eval_samples_per_second": 46.534,
|
| 3230 |
+
"eval_steps_per_second": 0.372,
|
| 3231 |
+
"step": 4500
|
| 3232 |
+
},
|
| 3233 |
+
{
|
| 3234 |
+
"epoch": 2.18,
|
| 3235 |
+
"grad_norm": 0.23546861112117767,
|
| 3236 |
+
"learning_rate": 3.454669969084312e-05,
|
| 3237 |
+
"loss": 0.6594,
|
| 3238 |
+
"step": 4510
|
| 3239 |
+
},
|
| 3240 |
+
{
|
| 3241 |
+
"epoch": 2.18,
|
| 3242 |
+
"grad_norm": 0.20284776389598846,
|
| 3243 |
+
"learning_rate": 3.446897031650316e-05,
|
| 3244 |
+
"loss": 0.65,
|
| 3245 |
+
"step": 4520
|
| 3246 |
+
},
|
| 3247 |
+
{
|
| 3248 |
+
"epoch": 2.19,
|
| 3249 |
+
"grad_norm": 0.19946908950805664,
|
| 3250 |
+
"learning_rate": 3.4391133927452925e-05,
|
| 3251 |
+
"loss": 0.6573,
|
| 3252 |
+
"step": 4530
|
| 3253 |
+
},
|
| 3254 |
+
{
|
| 3255 |
+
"epoch": 2.19,
|
| 3256 |
+
"grad_norm": 0.2393037974834442,
|
| 3257 |
+
"learning_rate": 3.431319140336975e-05,
|
| 3258 |
+
"loss": 0.6502,
|
| 3259 |
+
"step": 4540
|
| 3260 |
+
},
|
| 3261 |
+
{
|
| 3262 |
+
"epoch": 2.2,
|
| 3263 |
+
"grad_norm": 0.2206243872642517,
|
| 3264 |
+
"learning_rate": 3.423514362513048e-05,
|
| 3265 |
+
"loss": 0.6704,
|
| 3266 |
+
"step": 4550
|
| 3267 |
+
},
|
| 3268 |
+
{
|
| 3269 |
+
"epoch": 2.2,
|
| 3270 |
+
"grad_norm": 0.20536164939403534,
|
| 3271 |
+
"learning_rate": 3.415699147480149e-05,
|
| 3272 |
+
"loss": 0.6629,
|
| 3273 |
+
"step": 4560
|
| 3274 |
+
},
|
| 3275 |
+
{
|
| 3276 |
+
"epoch": 2.21,
|
| 3277 |
+
"grad_norm": 0.22283408045768738,
|
| 3278 |
+
"learning_rate": 3.407873583562873e-05,
|
| 3279 |
+
"loss": 0.6789,
|
| 3280 |
+
"step": 4570
|
| 3281 |
+
},
|
| 3282 |
+
{
|
| 3283 |
+
"epoch": 2.21,
|
| 3284 |
+
"grad_norm": 0.21526776254177094,
|
| 3285 |
+
"learning_rate": 3.4000377592027754e-05,
|
| 3286 |
+
"loss": 0.6608,
|
| 3287 |
+
"step": 4580
|
| 3288 |
+
},
|
| 3289 |
+
{
|
| 3290 |
+
"epoch": 2.22,
|
| 3291 |
+
"grad_norm": 0.2566728889942169,
|
| 3292 |
+
"learning_rate": 3.3921917629573695e-05,
|
| 3293 |
+
"loss": 0.6624,
|
| 3294 |
+
"step": 4590
|
| 3295 |
+
},
|
| 3296 |
+
{
|
| 3297 |
+
"epoch": 2.22,
|
| 3298 |
+
"grad_norm": 0.21391907334327698,
|
| 3299 |
+
"learning_rate": 3.384335683499129e-05,
|
| 3300 |
+
"loss": 0.6536,
|
| 3301 |
+
"step": 4600
|
| 3302 |
+
},
|
| 3303 |
+
{
|
| 3304 |
+
"epoch": 2.23,
|
| 3305 |
+
"grad_norm": 0.21451455354690552,
|
| 3306 |
+
"learning_rate": 3.376469609614484e-05,
|
| 3307 |
+
"loss": 0.648,
|
| 3308 |
+
"step": 4610
|
| 3309 |
+
},
|
| 3310 |
+
{
|
| 3311 |
+
"epoch": 2.23,
|
| 3312 |
+
"grad_norm": 0.19541354477405548,
|
| 3313 |
+
"learning_rate": 3.368593630202818e-05,
|
| 3314 |
+
"loss": 0.657,
|
| 3315 |
+
"step": 4620
|
| 3316 |
+
},
|
| 3317 |
+
{
|
| 3318 |
+
"epoch": 2.24,
|
| 3319 |
+
"grad_norm": 0.2338065356016159,
|
| 3320 |
+
"learning_rate": 3.360707834275459e-05,
|
| 3321 |
+
"loss": 0.6686,
|
| 3322 |
+
"step": 4630
|
| 3323 |
+
},
|
| 3324 |
+
{
|
| 3325 |
+
"epoch": 2.24,
|
| 3326 |
+
"grad_norm": 0.1928481012582779,
|
| 3327 |
+
"learning_rate": 3.3528123109546844e-05,
|
| 3328 |
+
"loss": 0.6496,
|
| 3329 |
+
"step": 4640
|
| 3330 |
+
},
|
| 3331 |
+
{
|
| 3332 |
+
"epoch": 2.25,
|
| 3333 |
+
"grad_norm": 0.23110058903694153,
|
| 3334 |
+
"learning_rate": 3.344907149472702e-05,
|
| 3335 |
+
"loss": 0.6556,
|
| 3336 |
+
"step": 4650
|
| 3337 |
+
},
|
| 3338 |
+
{
|
| 3339 |
+
"epoch": 2.25,
|
| 3340 |
+
"grad_norm": 0.22316649556159973,
|
| 3341 |
+
"learning_rate": 3.336992439170649e-05,
|
| 3342 |
+
"loss": 0.663,
|
| 3343 |
+
"step": 4660
|
| 3344 |
+
},
|
| 3345 |
+
{
|
| 3346 |
+
"epoch": 2.26,
|
| 3347 |
+
"grad_norm": 0.1999579668045044,
|
| 3348 |
+
"learning_rate": 3.3290682694975775e-05,
|
| 3349 |
+
"loss": 0.6436,
|
| 3350 |
+
"step": 4670
|
| 3351 |
+
},
|
| 3352 |
+
{
|
| 3353 |
+
"epoch": 2.26,
|
| 3354 |
+
"grad_norm": 0.276755154132843,
|
| 3355 |
+
"learning_rate": 3.321134730009446e-05,
|
| 3356 |
+
"loss": 0.6355,
|
| 3357 |
+
"step": 4680
|
| 3358 |
+
},
|
| 3359 |
+
{
|
| 3360 |
+
"epoch": 2.27,
|
| 3361 |
+
"grad_norm": 0.24972842633724213,
|
| 3362 |
+
"learning_rate": 3.313191910368111e-05,
|
| 3363 |
+
"loss": 0.6454,
|
| 3364 |
+
"step": 4690
|
| 3365 |
+
},
|
| 3366 |
+
{
|
| 3367 |
+
"epoch": 2.27,
|
| 3368 |
+
"grad_norm": 0.2169172465801239,
|
| 3369 |
+
"learning_rate": 3.3052399003403046e-05,
|
| 3370 |
+
"loss": 0.6419,
|
| 3371 |
+
"step": 4700
|
| 3372 |
+
},
|
| 3373 |
+
{
|
| 3374 |
+
"epoch": 2.28,
|
| 3375 |
+
"grad_norm": 0.20602068305015564,
|
| 3376 |
+
"learning_rate": 3.297278789796629e-05,
|
| 3377 |
+
"loss": 0.6459,
|
| 3378 |
+
"step": 4710
|
| 3379 |
+
},
|
| 3380 |
+
{
|
| 3381 |
+
"epoch": 2.28,
|
| 3382 |
+
"grad_norm": 0.25669389963150024,
|
| 3383 |
+
"learning_rate": 3.289308668710532e-05,
|
| 3384 |
+
"loss": 0.6675,
|
| 3385 |
+
"step": 4720
|
| 3386 |
+
},
|
| 3387 |
+
{
|
| 3388 |
+
"epoch": 2.29,
|
| 3389 |
+
"grad_norm": 0.21008487045764923,
|
| 3390 |
+
"learning_rate": 3.281329627157302e-05,
|
| 3391 |
+
"loss": 0.642,
|
| 3392 |
+
"step": 4730
|
| 3393 |
+
},
|
| 3394 |
+
{
|
| 3395 |
+
"epoch": 2.29,
|
| 3396 |
+
"grad_norm": 0.21287119388580322,
|
| 3397 |
+
"learning_rate": 3.2733417553130384e-05,
|
| 3398 |
+
"loss": 0.6348,
|
| 3399 |
+
"step": 4740
|
| 3400 |
+
},
|
| 3401 |
+
{
|
| 3402 |
+
"epoch": 2.3,
|
| 3403 |
+
"grad_norm": 0.21862877905368805,
|
| 3404 |
+
"learning_rate": 3.2653451434536394e-05,
|
| 3405 |
+
"loss": 0.6579,
|
| 3406 |
+
"step": 4750
|
| 3407 |
+
},
|
| 3408 |
+
{
|
| 3409 |
+
"epoch": 2.3,
|
| 3410 |
+
"grad_norm": 0.19740484654903412,
|
| 3411 |
+
"learning_rate": 3.2573398819537767e-05,
|
| 3412 |
+
"loss": 0.6428,
|
| 3413 |
+
"step": 4760
|
| 3414 |
+
},
|
| 3415 |
+
{
|
| 3416 |
+
"epoch": 2.31,
|
| 3417 |
+
"grad_norm": 0.2695826292037964,
|
| 3418 |
+
"learning_rate": 3.2493260612858803e-05,
|
| 3419 |
+
"loss": 0.658,
|
| 3420 |
+
"step": 4770
|
| 3421 |
+
},
|
| 3422 |
+
{
|
| 3423 |
+
"epoch": 2.31,
|
| 3424 |
+
"grad_norm": 0.19435593485832214,
|
| 3425 |
+
"learning_rate": 3.2413037720191096e-05,
|
| 3426 |
+
"loss": 0.6615,
|
| 3427 |
+
"step": 4780
|
| 3428 |
+
},
|
| 3429 |
+
{
|
| 3430 |
+
"epoch": 2.32,
|
| 3431 |
+
"grad_norm": 0.21996192634105682,
|
| 3432 |
+
"learning_rate": 3.233273104818337e-05,
|
| 3433 |
+
"loss": 0.6588,
|
| 3434 |
+
"step": 4790
|
| 3435 |
+
},
|
| 3436 |
+
{
|
| 3437 |
+
"epoch": 2.32,
|
| 3438 |
+
"grad_norm": 0.26496437191963196,
|
| 3439 |
+
"learning_rate": 3.225234150443114e-05,
|
| 3440 |
+
"loss": 0.6548,
|
| 3441 |
+
"step": 4800
|
| 3442 |
+
},
|
| 3443 |
+
{
|
| 3444 |
+
"epoch": 2.32,
|
| 3445 |
+
"grad_norm": 0.2110251486301422,
|
| 3446 |
+
"learning_rate": 3.217186999746654e-05,
|
| 3447 |
+
"loss": 0.6618,
|
| 3448 |
+
"step": 4810
|
| 3449 |
+
},
|
| 3450 |
+
{
|
| 3451 |
+
"epoch": 2.33,
|
| 3452 |
+
"grad_norm": 0.19939462840557098,
|
| 3453 |
+
"learning_rate": 3.209131743674803e-05,
|
| 3454 |
+
"loss": 0.6531,
|
| 3455 |
+
"step": 4820
|
| 3456 |
+
},
|
| 3457 |
+
{
|
| 3458 |
+
"epoch": 2.33,
|
| 3459 |
+
"grad_norm": 0.19813968241214752,
|
| 3460 |
+
"learning_rate": 3.201068473265007e-05,
|
| 3461 |
+
"loss": 0.6484,
|
| 3462 |
+
"step": 4830
|
| 3463 |
+
},
|
| 3464 |
+
{
|
| 3465 |
+
"epoch": 2.34,
|
| 3466 |
+
"grad_norm": 0.2121964991092682,
|
| 3467 |
+
"learning_rate": 3.192997279645291e-05,
|
| 3468 |
+
"loss": 0.6556,
|
| 3469 |
+
"step": 4840
|
| 3470 |
+
},
|
| 3471 |
+
{
|
| 3472 |
+
"epoch": 2.34,
|
| 3473 |
+
"grad_norm": 0.19998233020305634,
|
| 3474 |
+
"learning_rate": 3.1849182540332214e-05,
|
| 3475 |
+
"loss": 0.6554,
|
| 3476 |
+
"step": 4850
|
| 3477 |
+
},
|
| 3478 |
+
{
|
| 3479 |
+
"epoch": 2.35,
|
| 3480 |
+
"grad_norm": 0.23478324711322784,
|
| 3481 |
+
"learning_rate": 3.176831487734882e-05,
|
| 3482 |
+
"loss": 0.637,
|
| 3483 |
+
"step": 4860
|
| 3484 |
+
},
|
| 3485 |
+
{
|
| 3486 |
+
"epoch": 2.35,
|
| 3487 |
+
"grad_norm": 0.19482719898223877,
|
| 3488 |
+
"learning_rate": 3.168737072143838e-05,
|
| 3489 |
+
"loss": 0.6464,
|
| 3490 |
+
"step": 4870
|
| 3491 |
+
},
|
| 3492 |
+
{
|
| 3493 |
+
"epoch": 2.36,
|
| 3494 |
+
"grad_norm": 0.21184729039669037,
|
| 3495 |
+
"learning_rate": 3.160635098740103e-05,
|
| 3496 |
+
"loss": 0.6584,
|
| 3497 |
+
"step": 4880
|
| 3498 |
+
},
|
| 3499 |
+
{
|
| 3500 |
+
"epoch": 2.36,
|
| 3501 |
+
"grad_norm": 0.27235257625579834,
|
| 3502 |
+
"learning_rate": 3.152525659089106e-05,
|
| 3503 |
+
"loss": 0.6597,
|
| 3504 |
+
"step": 4890
|
| 3505 |
+
},
|
| 3506 |
+
{
|
| 3507 |
+
"epoch": 2.37,
|
| 3508 |
+
"grad_norm": 0.22343479096889496,
|
| 3509 |
+
"learning_rate": 3.1444088448406584e-05,
|
| 3510 |
+
"loss": 0.6673,
|
| 3511 |
+
"step": 4900
|
| 3512 |
+
},
|
| 3513 |
+
{
|
| 3514 |
+
"epoch": 2.37,
|
| 3515 |
+
"grad_norm": 0.19164462387561798,
|
| 3516 |
+
"learning_rate": 3.136284747727916e-05,
|
| 3517 |
+
"loss": 0.6617,
|
| 3518 |
+
"step": 4910
|
| 3519 |
+
},
|
| 3520 |
+
{
|
| 3521 |
+
"epoch": 2.38,
|
| 3522 |
+
"grad_norm": 0.21662816405296326,
|
| 3523 |
+
"learning_rate": 3.128153459566341e-05,
|
| 3524 |
+
"loss": 0.6505,
|
| 3525 |
+
"step": 4920
|
| 3526 |
+
},
|
| 3527 |
+
{
|
| 3528 |
+
"epoch": 2.38,
|
| 3529 |
+
"grad_norm": 0.23168237507343292,
|
| 3530 |
+
"learning_rate": 3.1200150722526697e-05,
|
| 3531 |
+
"loss": 0.6479,
|
| 3532 |
+
"step": 4930
|
| 3533 |
+
},
|
| 3534 |
+
{
|
| 3535 |
+
"epoch": 2.39,
|
| 3536 |
+
"grad_norm": 0.19140580296516418,
|
| 3537 |
+
"learning_rate": 3.111869677763865e-05,
|
| 3538 |
+
"loss": 0.6413,
|
| 3539 |
+
"step": 4940
|
| 3540 |
+
},
|
| 3541 |
+
{
|
| 3542 |
+
"epoch": 2.39,
|
| 3543 |
+
"grad_norm": 0.25583407282829285,
|
| 3544 |
+
"learning_rate": 3.1037173681560874e-05,
|
| 3545 |
+
"loss": 0.6443,
|
| 3546 |
+
"step": 4950
|
| 3547 |
+
},
|
| 3548 |
+
{
|
| 3549 |
+
"epoch": 2.4,
|
| 3550 |
+
"grad_norm": 0.1979406476020813,
|
| 3551 |
+
"learning_rate": 3.095558235563647e-05,
|
| 3552 |
+
"loss": 0.6668,
|
| 3553 |
+
"step": 4960
|
| 3554 |
+
},
|
| 3555 |
+
{
|
| 3556 |
+
"epoch": 2.4,
|
| 3557 |
+
"grad_norm": 0.21006809175014496,
|
| 3558 |
+
"learning_rate": 3.0873923721979645e-05,
|
| 3559 |
+
"loss": 0.6505,
|
| 3560 |
+
"step": 4970
|
| 3561 |
+
},
|
| 3562 |
+
{
|
| 3563 |
+
"epoch": 2.41,
|
| 3564 |
+
"grad_norm": 0.2352473884820938,
|
| 3565 |
+
"learning_rate": 3.07921987034653e-05,
|
| 3566 |
+
"loss": 0.6552,
|
| 3567 |
+
"step": 4980
|
| 3568 |
+
},
|
| 3569 |
+
{
|
| 3570 |
+
"epoch": 2.41,
|
| 3571 |
+
"grad_norm": 0.22581614553928375,
|
| 3572 |
+
"learning_rate": 3.07104082237186e-05,
|
| 3573 |
+
"loss": 0.6489,
|
| 3574 |
+
"step": 4990
|
| 3575 |
+
},
|
| 3576 |
+
{
|
| 3577 |
+
"epoch": 2.42,
|
| 3578 |
+
"grad_norm": 0.21772272884845734,
|
| 3579 |
+
"learning_rate": 3.06285532071045e-05,
|
| 3580 |
+
"loss": 0.6721,
|
| 3581 |
+
"step": 5000
|
| 3582 |
+
},
|
| 3583 |
+
{
|
| 3584 |
+
"epoch": 2.42,
|
| 3585 |
+
"eval_loss": 0.6797133684158325,
|
| 3586 |
+
"eval_runtime": 43.0653,
|
| 3587 |
+
"eval_samples_per_second": 46.441,
|
| 3588 |
+
"eval_steps_per_second": 0.372,
|
| 3589 |
+
"step": 5000
|
| 3590 |
+
}
|
| 3591 |
+
],
|
| 3592 |
+
"logging_steps": 10,
|
| 3593 |
+
"max_steps": 10345,
|
| 3594 |
+
"num_input_tokens_seen": 0,
|
| 3595 |
+
"num_train_epochs": 5,
|
| 3596 |
+
"save_steps": 500,
|
| 3597 |
+
"total_flos": 1.2657613455646261e+19,
|
| 3598 |
+
"train_batch_size": 8,
|
| 3599 |
+
"trial_name": null,
|
| 3600 |
+
"trial_params": null
|
| 3601 |
+
}
|
checkpoint-5000/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3814e1058daec6f70a62fab0452b08b4d1c663bae76d77a07b33001875b2afcd
|
| 3 |
+
size 5048
|