lets put an actual model on here

7B-2nd-train/added_tokens.json

@@ -0,0 +1,3 @@
+{
+  "[PAD]": 32000
+}

7B-2nd-train/config.json

@@ -0,0 +1,23 @@
+{
+  "_name_or_path": "./llama-7b-hf",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "bos_token_id": 0,
+  "eos_token_id": 1,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 11008,
+  "max_sequence_length": 2048,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "pad_token_id": -1,
+  "rms_norm_eps": 1e-06,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.28.0.dev0",
+  "use_cache": true,
+  "vocab_size": 32001
+}

7B-2nd-train/generation_config.json

@@ -0,0 +1,7 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.28.0.dev0"
+}

7B-2nd-train/pytorch_model-00001-of-00003.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c8f33623390a7c1a05c07e9d3038e040ea7acf34683e3aa83fd62db5b75197c6
+size 9878005970

7B-2nd-train/pytorch_model-00002-of-00003.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:252e2f83c3cd0938eb2e2e6796c51c4b1e4e5419dc0bf784f4993b9a786f8b73
+size 9894801014

7B-2nd-train/pytorch_model-00003-of-00003.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:562ee5b7651343c6824846d78a5e3687c711a4beec8dd78f8805060515b87a51
+size 7181007033

7B-2nd-train/pytorch_model.bin.index.json

@@ -0,0 +1,330 @@
+{
+  "metadata": {
+    "total_size": 26953703424
+  },
+  "weight_map": {
+    "lm_head.weight": "pytorch_model-00003-of-00003.bin",
+    "model.embed_tokens.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.0.input_layernorm.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.0.mlp.down_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.0.mlp.gate_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.0.mlp.up_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.0.post_attention_layernorm.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.0.self_attn.k_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.0.self_attn.o_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.0.self_attn.q_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.0.self_attn.rotary_emb.inv_freq": "pytorch_model-00001-of-00003.bin",
+    "model.layers.0.self_attn.v_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.1.input_layernorm.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.1.mlp.down_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.1.mlp.gate_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.1.mlp.up_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.1.post_attention_layernorm.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.1.self_attn.k_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.1.self_attn.o_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.1.self_attn.q_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.1.self_attn.rotary_emb.inv_freq": "pytorch_model-00001-of-00003.bin",
+    "model.layers.1.self_attn.v_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.10.input_layernorm.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.10.mlp.down_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.10.mlp.gate_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.10.mlp.up_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.10.post_attention_layernorm.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.10.self_attn.k_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.10.self_attn.o_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.10.self_attn.q_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.10.self_attn.rotary_emb.inv_freq": "pytorch_model-00001-of-00003.bin",
+    "model.layers.10.self_attn.v_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.11.input_layernorm.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.11.mlp.down_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.11.mlp.gate_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.11.mlp.up_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.11.post_attention_layernorm.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.11.self_attn.k_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.11.self_attn.o_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.11.self_attn.q_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.11.self_attn.rotary_emb.inv_freq": "pytorch_model-00001-of-00003.bin",
+    "model.layers.11.self_attn.v_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.12.input_layernorm.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.12.mlp.down_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.12.mlp.gate_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.12.mlp.up_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.12.post_attention_layernorm.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.12.self_attn.k_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.12.self_attn.o_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.12.self_attn.q_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.12.self_attn.rotary_emb.inv_freq": "pytorch_model-00002-of-00003.bin",
+    "model.layers.12.self_attn.v_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.13.input_layernorm.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.13.mlp.down_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.13.mlp.gate_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.13.mlp.up_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.13.post_attention_layernorm.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.13.self_attn.k_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.13.self_attn.o_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.13.self_attn.q_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.13.self_attn.rotary_emb.inv_freq": "pytorch_model-00002-of-00003.bin",
+    "model.layers.13.self_attn.v_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.14.input_layernorm.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.14.mlp.down_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.14.mlp.gate_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.14.mlp.up_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.14.post_attention_layernorm.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.14.self_attn.k_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.14.self_attn.o_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.14.self_attn.q_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.14.self_attn.rotary_emb.inv_freq": "pytorch_model-00002-of-00003.bin",
+    "model.layers.14.self_attn.v_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.15.input_layernorm.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.15.mlp.down_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.15.mlp.gate_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.15.mlp.up_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.15.post_attention_layernorm.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.15.self_attn.k_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.15.self_attn.o_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.15.self_attn.q_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.15.self_attn.rotary_emb.inv_freq": "pytorch_model-00002-of-00003.bin",
+    "model.layers.15.self_attn.v_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.16.input_layernorm.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.16.mlp.down_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.16.mlp.gate_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.16.mlp.up_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.16.post_attention_layernorm.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.16.self_attn.k_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.16.self_attn.o_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.16.self_attn.q_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.16.self_attn.rotary_emb.inv_freq": "pytorch_model-00002-of-00003.bin",
+    "model.layers.16.self_attn.v_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.17.input_layernorm.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.17.mlp.down_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.17.mlp.gate_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.17.mlp.up_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.17.post_attention_layernorm.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.17.self_attn.k_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.17.self_attn.o_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.17.self_attn.q_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.17.self_attn.rotary_emb.inv_freq": "pytorch_model-00002-of-00003.bin",
+    "model.layers.17.self_attn.v_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.18.input_layernorm.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.18.mlp.down_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.18.mlp.gate_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.18.mlp.up_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.18.post_attention_layernorm.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.18.self_attn.k_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.18.self_attn.o_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.18.self_attn.q_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.18.self_attn.rotary_emb.inv_freq": "pytorch_model-00002-of-00003.bin",
+    "model.layers.18.self_attn.v_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.19.input_layernorm.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.19.mlp.down_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.19.mlp.gate_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.19.mlp.up_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.19.post_attention_layernorm.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.19.self_attn.k_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.19.self_attn.o_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.19.self_attn.q_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.19.self_attn.rotary_emb.inv_freq": "pytorch_model-00002-of-00003.bin",
+    "model.layers.19.self_attn.v_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.2.input_layernorm.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.2.mlp.down_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.2.mlp.gate_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.2.mlp.up_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.2.post_attention_layernorm.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.2.self_attn.k_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.2.self_attn.o_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.2.self_attn.q_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.2.self_attn.rotary_emb.inv_freq": "pytorch_model-00001-of-00003.bin",
+    "model.layers.2.self_attn.v_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.20.input_layernorm.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.20.mlp.down_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.20.mlp.gate_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.20.mlp.up_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.20.post_attention_layernorm.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.20.self_attn.k_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.20.self_attn.o_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.20.self_attn.q_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.20.self_attn.rotary_emb.inv_freq": "pytorch_model-00002-of-00003.bin",
+    "model.layers.20.self_attn.v_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.21.input_layernorm.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.21.mlp.down_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.21.mlp.gate_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.21.mlp.up_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.21.post_attention_layernorm.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.21.self_attn.k_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.21.self_attn.o_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.21.self_attn.q_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.21.self_attn.rotary_emb.inv_freq": "pytorch_model-00002-of-00003.bin",
+    "model.layers.21.self_attn.v_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.22.input_layernorm.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.22.mlp.down_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.22.mlp.gate_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.22.mlp.up_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.22.post_attention_layernorm.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.22.self_attn.k_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.22.self_attn.o_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.22.self_attn.q_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.22.self_attn.rotary_emb.inv_freq": "pytorch_model-00002-of-00003.bin",
+    "model.layers.22.self_attn.v_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.23.input_layernorm.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.23.mlp.down_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.23.mlp.gate_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.23.mlp.up_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.23.post_attention_layernorm.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.23.self_attn.k_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.23.self_attn.o_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.23.self_attn.q_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.23.self_attn.rotary_emb.inv_freq": "pytorch_model-00002-of-00003.bin",
+    "model.layers.23.self_attn.v_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.24.input_layernorm.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.24.mlp.down_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.24.mlp.gate_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.24.mlp.up_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.24.post_attention_layernorm.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.24.self_attn.k_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.24.self_attn.o_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.24.self_attn.q_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.24.self_attn.rotary_emb.inv_freq": "pytorch_model-00003-of-00003.bin",
+    "model.layers.24.self_attn.v_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.25.input_layernorm.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.25.mlp.down_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.25.mlp.gate_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.25.mlp.up_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.25.post_attention_layernorm.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.25.self_attn.k_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.25.self_attn.o_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.25.self_attn.q_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.25.self_attn.rotary_emb.inv_freq": "pytorch_model-00003-of-00003.bin",
+    "model.layers.25.self_attn.v_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.26.input_layernorm.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.26.mlp.down_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.26.mlp.gate_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.26.mlp.up_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.26.post_attention_layernorm.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.26.self_attn.k_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.26.self_attn.o_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.26.self_attn.q_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.26.self_attn.rotary_emb.inv_freq": "pytorch_model-00003-of-00003.bin",
+    "model.layers.26.self_attn.v_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.27.input_layernorm.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.27.mlp.down_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.27.mlp.gate_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.27.mlp.up_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.27.post_attention_layernorm.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.27.self_attn.k_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.27.self_attn.o_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.27.self_attn.q_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.27.self_attn.rotary_emb.inv_freq": "pytorch_model-00003-of-00003.bin",
+    "model.layers.27.self_attn.v_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.28.input_layernorm.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.28.mlp.down_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.28.mlp.gate_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.28.mlp.up_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.28.post_attention_layernorm.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.28.self_attn.k_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.28.self_attn.o_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.28.self_attn.q_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.28.self_attn.rotary_emb.inv_freq": "pytorch_model-00003-of-00003.bin",
+    "model.layers.28.self_attn.v_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.29.input_layernorm.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.29.mlp.down_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.29.mlp.gate_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.29.mlp.up_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.29.post_attention_layernorm.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.29.self_attn.k_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.29.self_attn.o_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.29.self_attn.q_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.29.self_attn.rotary_emb.inv_freq": "pytorch_model-00003-of-00003.bin",
+    "model.layers.29.self_attn.v_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.3.input_layernorm.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.3.mlp.down_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.3.mlp.gate_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.3.mlp.up_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.3.post_attention_layernorm.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.3.self_attn.k_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.3.self_attn.o_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.3.self_attn.q_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.3.self_attn.rotary_emb.inv_freq": "pytorch_model-00001-of-00003.bin",
+    "model.layers.3.self_attn.v_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.30.input_layernorm.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.30.mlp.down_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.30.mlp.gate_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.30.mlp.up_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.30.post_attention_layernorm.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.30.self_attn.k_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.30.self_attn.o_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.30.self_attn.q_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.30.self_attn.rotary_emb.inv_freq": "pytorch_model-00003-of-00003.bin",
+    "model.layers.30.self_attn.v_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.31.input_layernorm.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.31.mlp.down_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.31.mlp.gate_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.31.mlp.up_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.31.post_attention_layernorm.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.31.self_attn.k_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.31.self_attn.o_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.31.self_attn.q_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.31.self_attn.rotary_emb.inv_freq": "pytorch_model-00003-of-00003.bin",
+    "model.layers.31.self_attn.v_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.4.input_layernorm.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.4.mlp.down_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.4.mlp.gate_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.4.mlp.up_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.4.post_attention_layernorm.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.4.self_attn.k_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.4.self_attn.o_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.4.self_attn.q_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.4.self_attn.rotary_emb.inv_freq": "pytorch_model-00001-of-00003.bin",
+    "model.layers.4.self_attn.v_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.5.input_layernorm.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.5.mlp.down_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.5.mlp.gate_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.5.mlp.up_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.5.post_attention_layernorm.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.5.self_attn.k_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.5.self_attn.o_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.5.self_attn.q_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.5.self_attn.rotary_emb.inv_freq": "pytorch_model-00001-of-00003.bin",
+    "model.layers.5.self_attn.v_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.6.input_layernorm.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.6.mlp.down_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.6.mlp.gate_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.6.mlp.up_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.6.post_attention_layernorm.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.6.self_attn.k_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.6.self_attn.o_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.6.self_attn.q_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.6.self_attn.rotary_emb.inv_freq": "pytorch_model-00001-of-00003.bin",
+    "model.layers.6.self_attn.v_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.7.input_layernorm.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.7.mlp.down_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.7.mlp.gate_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.7.mlp.up_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.7.post_attention_layernorm.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.7.self_attn.k_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.7.self_attn.o_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.7.self_attn.q_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.7.self_attn.rotary_emb.inv_freq": "pytorch_model-00001-of-00003.bin",
+    "model.layers.7.self_attn.v_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.8.input_layernorm.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.8.mlp.down_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.8.mlp.gate_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.8.mlp.up_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.8.post_attention_layernorm.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.8.self_attn.k_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.8.self_attn.o_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.8.self_attn.q_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.8.self_attn.rotary_emb.inv_freq": "pytorch_model-00001-of-00003.bin",
+    "model.layers.8.self_attn.v_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.9.input_layernorm.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.9.mlp.down_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.9.mlp.gate_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.9.mlp.up_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.9.post_attention_layernorm.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.9.self_attn.k_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.9.self_attn.o_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.9.self_attn.q_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.9.self_attn.rotary_emb.inv_freq": "pytorch_model-00001-of-00003.bin",
+    "model.layers.9.self_attn.v_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.norm.weight": "pytorch_model-00003-of-00003.bin"
+  }
+}

7B-2nd-train/special_tokens_map.json

@@ -0,0 +1,6 @@
+{
+  "bos_token": "</s>",
+  "eos_token": "</s>",
+  "pad_token": "[PAD]",
+  "unk_token": "</s>"
+}

7B-2nd-train/tokenizer.model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
+size 499723

7B-2nd-train/tokenizer_config.json

@@ -0,0 +1,9 @@
+{
+  "bos_token": "",
+  "eos_token": "",
+  "model_max_length": 512,
+  "padding_side": "right",
+  "special_tokens_map_file": "./llama-7b-hf/special_tokens_map.json",
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": ""
+}

7B-2nd-train/trainer_state.json

@@ -0,0 +1,2545 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 2.995319812792512,
+  "global_step": 420,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.01,
+      "learning_rate": 0.0,
+      "loss": 1.4861,
+      "step": 1
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 0.0,
+      "loss": 1.4901,
+      "step": 2
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.5384615384615387e-06,
+      "loss": 1.4646,
+      "step": 3
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 3.0769230769230774e-06,
+      "loss": 1.44,
+      "step": 4
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 4.615384615384616e-06,
+      "loss": 1.4355,
+      "step": 5
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 6.153846153846155e-06,
+      "loss": 1.1764,
+      "step": 6
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 7.692307692307694e-06,
+      "loss": 1.0584,
+      "step": 7
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 9.230769230769232e-06,
+      "loss": 1.0187,
+      "step": 8
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.076923076923077e-05,
+      "loss": 1.0039,
+      "step": 9
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.230769230769231e-05,
+      "loss": 0.9911,
+      "step": 10
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.3846153846153847e-05,
+      "loss": 0.972,
+      "step": 11
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.5384615384615387e-05,
+      "loss": 0.9573,
+      "step": 12
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.6923076923076924e-05,
+      "loss": 0.9277,
+      "step": 13
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.8461538461538465e-05,
+      "loss": 0.8686,
+      "step": 14
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 2e-05,
+      "loss": 0.9066,
+      "step": 15
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9999702094326033e-05,
+      "loss": 0.9442,
+      "step": 16
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9998808395053687e-05,
+      "loss": 0.8849,
+      "step": 17
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.999731895543058e-05,
+      "loss": 0.8767,
+      "step": 18
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9995233864199213e-05,
+      "loss": 0.9332,
+      "step": 19
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9992553245591694e-05,
+      "loss": 0.9058,
+      "step": 20
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9989277259322314e-05,
+      "loss": 0.9563,
+      "step": 21
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.998540610057806e-05,
+      "loss": 0.9188,
+      "step": 22
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9980940000006956e-05,
+      "loss": 0.9445,
+      "step": 23
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.997587922370434e-05,
+      "loss": 0.8958,
+      "step": 24
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.997022407319702e-05,
+      "loss": 0.8969,
+      "step": 25
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.9963974885425267e-05,
+      "loss": 0.9201,
+      "step": 26
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.9957132032722787e-05,
+      "loss": 0.8686,
+      "step": 27
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.9949695922794508e-05,
+      "loss": 0.8845,
+      "step": 28
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.99416669986923e-05,
+      "loss": 0.9125,
+      "step": 29
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.9933045738788564e-05,
+      "loss": 0.9097,
+      "step": 30
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.992383265674776e-05,
+      "loss": 0.886,
+      "step": 31
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.991402830149576e-05,
+      "loss": 0.9274,
+      "step": 32
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.9903633257187186e-05,
+      "loss": 0.9153,
+      "step": 33
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.9892648143170565e-05,
+      "loss": 0.9458,
+      "step": 34
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.9881073613951464e-05,
+      "loss": 0.9064,
+      "step": 35
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.986891035915346e-05,
+      "loss": 0.8758,
+      "step": 36
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.9856159103477085e-05,
+      "loss": 0.8764,
+      "step": 37
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.984282060665662e-05,
+      "loss": 0.9475,
+      "step": 38
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.9828895663414838e-05,
+      "loss": 0.883,
+      "step": 39
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.9814385103415662e-05,
+      "loss": 0.8835,
+      "step": 40
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.9799289791214725e-05,
+      "loss": 0.8706,
+      "step": 41
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.9783610626207855e-05,
+      "loss": 0.923,
+      "step": 42
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.9767348542577496e-05,
+      "loss": 0.8666,
+      "step": 43
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.9750504509237046e-05,
+      "loss": 0.882,
+      "step": 44
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.9733079529773123e-05,
+      "loss": 0.8919,
+      "step": 45
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.9715074642385785e-05,
+      "loss": 0.911,
+      "step": 46
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.9696490919826647e-05,
+      "loss": 0.9278,
+      "step": 47
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.967732946933499e-05,
+      "loss": 0.8796,
+      "step": 48
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.965759143257178e-05,
+      "loss": 0.9192,
+      "step": 49
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.9637277985551643e-05,
+      "loss": 0.8925,
+      "step": 50
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.9616390338572805e-05,
+      "loss": 0.9026,
+      "step": 51
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.9594929736144978e-05,
+      "loss": 0.8203,
+      "step": 52
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.95728974569152e-05,
+      "loss": 0.8867,
+      "step": 53
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.9550294813591685e-05,
+      "loss": 0.8783,
+      "step": 54
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.9527123152865562e-05,
+      "loss": 0.897,
+      "step": 55
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.950338385533067e-05,
+      "loss": 0.8365,
+      "step": 56
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.9479078335401297e-05,
+      "loss": 0.8951,
+      "step": 57
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.9454208041227905e-05,
+      "loss": 0.8633,
+      "step": 58
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.9428774454610845e-05,
+      "loss": 0.9022,
+      "step": 59
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.940277909091206e-05,
+      "loss": 0.885,
+      "step": 60
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.937622349896483e-05,
+      "loss": 0.8765,
+      "step": 61
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.9349109260981455e-05,
+      "loss": 0.8465,
+      "step": 62
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.9321437992458996e-05,
+      "loss": 0.8642,
+      "step": 63
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.929321134208304e-05,
+      "loss": 0.8872,
+      "step": 64
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.9264430991629447e-05,
+      "loss": 0.9043,
+      "step": 65
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.9235098655864156e-05,
+      "loss": 0.9398,
+      "step": 66
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.920521608244102e-05,
+      "loss": 0.9099,
+      "step": 67
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.9174785051797668e-05,
+      "loss": 0.8736,
+      "step": 68
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.9143807377049443e-05,
+      "loss": 0.7984,
+      "step": 69
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.911228490388136e-05,
+      "loss": 0.8401,
+      "step": 70
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.9080219510438137e-05,
+      "loss": 0.8782,
+      "step": 71
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.9047613107212314e-05,
+      "loss": 0.8569,
+      "step": 72
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 1.9014467636930387e-05,
+      "loss": 0.8467,
+      "step": 73
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 1.8980785074437095e-05,
+      "loss": 0.8492,
+      "step": 74
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 1.8946567426577724e-05,
+      "loss": 0.8786,
+      "step": 75
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 1.8911816732078577e-05,
+      "loss": 0.8782,
+      "step": 76
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 1.8876535061425454e-05,
+      "loss": 0.8979,
+      "step": 77
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 1.884072451674034e-05,
+      "loss": 0.906,
+      "step": 78
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 1.880438723165612e-05,
+      "loss": 0.9005,
+      "step": 79
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 1.8767525371189473e-05,
+      "loss": 0.828,
+      "step": 80
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 1.8730141131611882e-05,
+      "loss": 0.8725,
+      "step": 81
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 1.869223674031876e-05,
+      "loss": 0.8478,
+      "step": 82
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 1.865381445569676e-05,
+      "loss": 0.8932,
+      "step": 83
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 1.861487656698919e-05,
+      "loss": 0.8847,
+      "step": 84
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 1.8575425394159653e-05,
+      "loss": 0.9109,
+      "step": 85
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 1.8535463287753797e-05,
+      "loss": 0.8571,
+      "step": 86
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 1.849499262875927e-05,
+      "loss": 0.8681,
+      "step": 87
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 1.845401582846385e-05,
+      "loss": 0.8969,
+      "step": 88
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 1.8412535328311813e-05,
+      "loss": 0.8889,
+      "step": 89
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 1.8370553599758424e-05,
+      "loss": 0.8971,
+      "step": 90
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 1.8328073144122708e-05,
+      "loss": 0.8818,
+      "step": 91
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 1.8285096492438424e-05,
+      "loss": 0.8723,
+      "step": 92
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 1.8241626205303245e-05,
+      "loss": 0.8822,
+      "step": 93
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 1.8197664872726206e-05,
+      "loss": 0.852,
+      "step": 94
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 1.8153215113973398e-05,
+      "loss": 0.8946,
+      "step": 95
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 1.810827957741188e-05,
+      "loss": 0.8812,
+      "step": 96
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 1.8062860940351916e-05,
+      "loss": 0.8572,
+      "step": 97
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 1.8016961908887444e-05,
+      "loss": 0.8703,
+      "step": 98
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 1.7970585217734843e-05,
+      "loss": 0.8565,
+      "step": 99
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 1.792373363007e-05,
+      "loss": 0.8724,
+      "step": 100
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 1.7876409937363677e-05,
+      "loss": 0.8421,
+      "step": 101
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 1.7828616959215185e-05,
+      "loss": 0.8504,
+      "step": 102
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 1.7780357543184396e-05,
+      "loss": 0.8842,
+      "step": 103
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 1.7731634564622087e-05,
+      "loss": 0.8467,
+      "step": 104
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 1.768245092649861e-05,
+      "loss": 0.893,
+      "step": 105
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 1.763280955923093e-05,
+      "loss": 0.8401,
+      "step": 106
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 1.7582713420508052e-05,
+      "loss": 0.8824,
+      "step": 107
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 1.7532165495114765e-05,
+      "loss": 0.8969,
+      "step": 108
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 1.748116879475383e-05,
+      "loss": 0.8517,
+      "step": 109
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 1.7429726357866516e-05,
+      "loss": 0.9263,
+      "step": 110
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 1.7377841249451596e-05,
+      "loss": 0.8942,
+      "step": 111
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.7325516560882706e-05,
+      "loss": 0.8849,
+      "step": 112
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.727275540972417e-05,
+      "loss": 0.8786,
+      "step": 113
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7219560939545246e-05,
+      "loss": 0.8361,
+      "step": 114
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.7165936319732833e-05,
+      "loss": 0.8518,
+      "step": 115
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.711188474530263e-05,
+      "loss": 0.8686,
+      "step": 116
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.7057409436708783e-05,
+      "loss": 0.8457,
+      "step": 117
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.700251363965199e-05,
+      "loss": 0.8331,
+      "step": 118
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.6947200624886145e-05,
+      "loss": 0.8336,
+      "step": 119
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.6891473688023425e-05,
+      "loss": 0.8896,
+      "step": 120
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.6835336149337976e-05,
+      "loss": 0.8698,
+      "step": 121
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 1.677879135356805e-05,
+      "loss": 0.8493,
+      "step": 122
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 1.6721842669716752e-05,
+      "loss": 0.8637,
+      "step": 123
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 1.666449349085129e-05,
+      "loss": 0.8614,
+      "step": 124
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 1.6606747233900816e-05,
+      "loss": 0.8878,
+      "step": 125
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 1.6548607339452853e-05,
+      "loss": 0.8685,
+      "step": 126
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 1.6490077271548287e-05,
+      "loss": 0.8429,
+      "step": 127
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 1.6431160517474986e-05,
+      "loss": 0.8828,
+      "step": 128
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 1.637186058756001e-05,
+      "loss": 0.8589,
+      "step": 129
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 1.6312181014960483e-05,
+      "loss": 0.864,
+      "step": 130
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 1.6252125355453058e-05,
+      "loss": 0.8906,
+      "step": 131
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.619169718722209e-05,
+      "loss": 0.854,
+      "step": 132
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.6130900110646404e-05,
+      "loss": 0.9064,
+      "step": 133
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 1.6069737748084823e-05,
+      "loss": 0.9017,
+      "step": 134
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 1.600821374366031e-05,
+      "loss": 0.8955,
+      "step": 135
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 1.594633176304287e-05,
+      "loss": 0.8569,
+      "step": 136
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.5884095493231123e-05,
+      "loss": 0.8699,
+      "step": 137
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.582150864233266e-05,
+      "loss": 0.8945,
+      "step": 138
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.5758574939343073e-05,
+      "loss": 0.8861,
+      "step": 139
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 1.569529813392381e-05,
+      "loss": 0.8806,
+      "step": 140
+    },
+    {
+      "epoch": 1.01,
+      "learning_rate": 1.5631681996178735e-05,
+      "loss": 0.7215,
+      "step": 141
+    },
+    {
+      "epoch": 1.01,
+      "learning_rate": 1.5567730316429536e-05,
+      "loss": 0.6521,
+      "step": 142
+    },
+    {
+      "epoch": 1.02,
+      "learning_rate": 1.5503446904989856e-05,
+      "loss": 0.6706,
+      "step": 143
+    },
+    {
+      "epoch": 1.03,
+      "learning_rate": 1.54388355919383e-05,
+      "loss": 0.6824,
+      "step": 144
+    },
+    {
+      "epoch": 1.03,
+      "learning_rate": 1.537390022689022e-05,
+      "loss": 0.6543,
+      "step": 145
+    },
+    {
+      "epoch": 1.04,
+      "learning_rate": 1.530864467876836e-05,
+      "loss": 0.6559,
+      "step": 146
+    },
+    {
+      "epoch": 1.05,
+      "learning_rate": 1.5243072835572319e-05,
+      "loss": 0.6764,
+      "step": 147
+    },
+    {
+      "epoch": 1.06,
+      "learning_rate": 1.5177188604146929e-05,
+      "loss": 0.6662,
+      "step": 148
+    },
+    {
+      "epoch": 1.06,
+      "learning_rate": 1.5110995909949465e-05,
+      "loss": 0.6668,
+      "step": 149
+    },
+    {
+      "epoch": 1.07,
+      "learning_rate": 1.504449869681576e-05,
+      "loss": 0.6746,
+      "step": 150
+    },
+    {
+      "epoch": 1.08,
+      "learning_rate": 1.4977700926725231e-05,
+      "loss": 0.6726,
+      "step": 151
+    },
+    {
+      "epoch": 1.08,
+      "learning_rate": 1.4910606579564827e-05,
+      "loss": 0.6261,
+      "step": 152
+    },
+    {
+      "epoch": 1.09,
+      "learning_rate": 1.4843219652891889e-05,
+      "loss": 0.6561,
+      "step": 153
+    },
+    {
+      "epoch": 1.1,
+      "learning_rate": 1.4775544161695975e-05,
+      "loss": 0.6725,
+      "step": 154
+    },
+    {
+      "epoch": 1.11,
+      "learning_rate": 1.4707584138159652e-05,
+      "loss": 0.6421,
+      "step": 155
+    },
+    {
+      "epoch": 1.11,
+      "learning_rate": 1.4639343631418239e-05,
+      "loss": 0.6568,
+      "step": 156
+    },
+    {
+      "epoch": 1.12,
+      "learning_rate": 1.457082670731857e-05,
+      "loss": 0.6381,
+      "step": 157
+    },
+    {
+      "epoch": 1.13,
+      "learning_rate": 1.4502037448176734e-05,
+      "loss": 0.6663,
+      "step": 158
+    },
+    {
+      "epoch": 1.13,
+      "learning_rate": 1.4432979952534853e-05,
+      "loss": 0.6344,
+      "step": 159
+    },
+    {
+      "epoch": 1.14,
+      "learning_rate": 1.4363658334916883e-05,
+      "loss": 0.6778,
+      "step": 160
+    },
+    {
+      "epoch": 1.15,
+      "learning_rate": 1.4294076725583463e-05,
+      "loss": 0.6412,
+      "step": 161
+    },
+    {
+      "epoch": 1.16,
+      "learning_rate": 1.4224239270285847e-05,
+      "loss": 0.6905,
+      "step": 162
+    },
+    {
+      "epoch": 1.16,
+      "learning_rate": 1.4154150130018867e-05,
+      "loss": 0.6732,
+      "step": 163
+    },
+    {
+      "epoch": 1.17,
+      "learning_rate": 1.4083813480773036e-05,
+      "loss": 0.6823,
+      "step": 164
+    },
+    {
+      "epoch": 1.18,
+      "learning_rate": 1.4013233513285734e-05,
+      "loss": 0.6621,
+      "step": 165
+    },
+    {
+      "epoch": 1.18,
+      "learning_rate": 1.394241443279152e-05,
+      "loss": 0.6802,
+      "step": 166
+    },
+    {
+      "epoch": 1.19,
+      "learning_rate": 1.3871360458771575e-05,
+      "loss": 0.6327,
+      "step": 167
+    },
+    {
+      "epoch": 1.2,
+      "learning_rate": 1.38000758247023e-05,
+      "loss": 0.6688,
+      "step": 168
+    },
+    {
+      "epoch": 1.21,
+      "learning_rate": 1.3728564777803089e-05,
+      "loss": 0.6781,
+      "step": 169
+    },
+    {
+      "epoch": 1.21,
+      "learning_rate": 1.3656831578783263e-05,
+      "loss": 0.6387,
+      "step": 170
+    },
+    {
+      "epoch": 1.22,
+      "learning_rate": 1.3584880501588225e-05,
+      "loss": 0.6211,
+      "step": 171
+    },
+    {
+      "epoch": 1.23,
+      "learning_rate": 1.35127158331448e-05,
+      "loss": 0.6674,
+      "step": 172
+    },
+    {
+      "epoch": 1.23,
+      "learning_rate": 1.3440341873105834e-05,
+      "loss": 0.664,
+      "step": 173
+    },
+    {
+      "epoch": 1.24,
+      "learning_rate": 1.3367762933593989e-05,
+      "loss": 0.6374,
+      "step": 174
+    },
+    {
+      "epoch": 1.25,
+      "learning_rate": 1.3294983338944842e-05,
+      "loss": 0.7106,
+      "step": 175
+    },
+    {
+      "epoch": 1.26,
+      "learning_rate": 1.3222007425449234e-05,
+      "loss": 0.6743,
+      "step": 176
+    },
+    {
+      "epoch": 1.26,
+      "learning_rate": 1.314883954109491e-05,
+      "loss": 0.6266,
+      "step": 177
+    },
+    {
+      "epoch": 1.27,
+      "learning_rate": 1.3075484045307443e-05,
+      "loss": 0.6409,
+      "step": 178
+    },
+    {
+      "epoch": 1.28,
+      "learning_rate": 1.3001945308690514e-05,
+      "loss": 0.696,
+      "step": 179
+    },
+    {
+      "epoch": 1.28,
+      "learning_rate": 1.2928227712765504e-05,
+      "loss": 0.6427,
+      "step": 180
+    },
+    {
+      "epoch": 1.29,
+      "learning_rate": 1.2854335649710436e-05,
+      "loss": 0.687,
+      "step": 181
+    },
+    {
+      "epoch": 1.3,
+      "learning_rate": 1.2780273522098276e-05,
+      "loss": 0.624,
+      "step": 182
+    },
+    {
+      "epoch": 1.31,
+      "learning_rate": 1.2706045742634637e-05,
+      "loss": 0.6444,
+      "step": 183
+    },
+    {
+      "epoch": 1.31,
+      "learning_rate": 1.2631656733894842e-05,
+      "loss": 0.64,
+      "step": 184
+    },
+    {
+      "epoch": 1.32,
+      "learning_rate": 1.2557110928060456e-05,
+      "loss": 0.6345,
+      "step": 185
+    },
+    {
+      "epoch": 1.33,
+      "learning_rate": 1.2482412766655183e-05,
+      "loss": 0.6863,
+      "step": 186
+    },
+    {
+      "epoch": 1.33,
+      "learning_rate": 1.2407566700280247e-05,
+      "loss": 0.6546,
+      "step": 187
+    },
+    {
+      "epoch": 1.34,
+      "learning_rate": 1.2332577188349217e-05,
+      "loss": 0.6767,
+      "step": 188
+    },
+    {
+      "epoch": 1.35,
+      "learning_rate": 1.2257448698822314e-05,
+      "loss": 0.6265,
+      "step": 189
+    },
+    {
+      "epoch": 1.36,
+      "learning_rate": 1.2182185707940196e-05,
+      "loss": 0.6039,
+      "step": 190
+    },
+    {
+      "epoch": 1.36,
+      "learning_rate": 1.2106792699957264e-05,
+      "loss": 0.6537,
+      "step": 191
+    },
+    {
+      "epoch": 1.37,
+      "learning_rate": 1.2031274166874498e-05,
+      "loss": 0.671,
+      "step": 192
+    },
+    {
+      "epoch": 1.38,
+      "learning_rate": 1.1955634608171792e-05,
+      "loss": 0.6542,
+      "step": 193
+    },
+    {
+      "epoch": 1.38,
+      "learning_rate": 1.187987853053989e-05,
+      "loss": 0.6243,
+      "step": 194
+    },
+    {
+      "epoch": 1.39,
+      "learning_rate": 1.1804010447611862e-05,
+      "loss": 0.6399,
+      "step": 195
+    },
+    {
+      "epoch": 1.4,
+      "learning_rate": 1.1728034879694185e-05,
+      "loss": 0.6114,
+      "step": 196
+    },
+    {
+      "epoch": 1.4,
+      "learning_rate": 1.1651956353497418e-05,
+      "loss": 0.6876,
+      "step": 197
+    },
+    {
+      "epoch": 1.41,
+      "learning_rate": 1.1575779401866475e-05,
+      "loss": 0.6567,
+      "step": 198
+    },
+    {
+      "epoch": 1.42,
+      "learning_rate": 1.1499508563510587e-05,
+      "loss": 0.6602,
+      "step": 199
+    },
+    {
+      "epoch": 1.43,
+      "learning_rate": 1.1423148382732854e-05,
+      "loss": 0.6618,
+      "step": 200
+    },
+    {
+      "epoch": 1.43,
+      "learning_rate": 1.1346703409159495e-05,
+      "loss": 0.6235,
+      "step": 201
+    },
+    {
+      "epoch": 1.44,
+      "learning_rate": 1.1270178197468788e-05,
+      "loss": 0.6743,
+      "step": 202
+    },
+    {
+      "epoch": 1.45,
+      "learning_rate": 1.1193577307119687e-05,
+      "loss": 0.676,
+      "step": 203
+    },
+    {
+      "epoch": 1.45,
+      "learning_rate": 1.1116905302080163e-05,
+      "loss": 0.6091,
+      "step": 204
+    },
+    {
+      "epoch": 1.46,
+      "learning_rate": 1.1040166750555288e-05,
+      "loss": 0.6412,
+      "step": 205
+    },
+    {
+      "epoch": 1.47,
+      "learning_rate": 1.0963366224715035e-05,
+      "loss": 0.6593,
+      "step": 206
+    },
+    {
+      "epoch": 1.48,
+      "learning_rate": 1.0886508300421892e-05,
+      "loss": 0.6369,
+      "step": 207
+    },
+    {
+      "epoch": 1.48,
+      "learning_rate": 1.080959755695821e-05,
+      "loss": 0.7025,
+      "step": 208
+    },
+    {
+      "epoch": 1.49,
+      "learning_rate": 1.0732638576753355e-05,
+      "loss": 0.6387,
+      "step": 209
+    },
+    {
+      "epoch": 1.5,
+      "learning_rate": 1.0655635945110705e-05,
+      "loss": 0.6821,
+      "step": 210
+    },
+    {
+      "epoch": 1.5,
+      "learning_rate": 1.0578594249934433e-05,
+      "loss": 0.673,
+      "step": 211
+    },
+    {
+      "epoch": 1.51,
+      "learning_rate": 1.0501518081456164e-05,
+      "loss": 0.6481,
+      "step": 212
+    },
+    {
+      "epoch": 1.52,
+      "learning_rate": 1.0424412031961485e-05,
+      "loss": 0.6704,
+      "step": 213
+    },
+    {
+      "epoch": 1.53,
+      "learning_rate": 1.0347280695516319e-05,
+      "loss": 0.6656,
+      "step": 214
+    },
+    {
+      "epoch": 1.53,
+      "learning_rate": 1.0270128667693225e-05,
+      "loss": 0.644,
+      "step": 215
+    },
+    {
+      "epoch": 1.54,
+      "learning_rate": 1.0192960545297568e-05,
+      "loss": 0.6596,
+      "step": 216
+    },
+    {
+      "epoch": 1.55,
+      "learning_rate": 1.011578092609365e-05,
+      "loss": 0.6377,
+      "step": 217
+    },
+    {
+      "epoch": 1.55,
+      "learning_rate": 1.0038594408530768e-05,
+      "loss": 0.6317,
+      "step": 218
+    },
+    {
+      "epoch": 1.56,
+      "learning_rate": 9.96140559146923e-06,
+      "loss": 0.6491,
+      "step": 219
+    },
+    {
+      "epoch": 1.57,
+      "learning_rate": 9.884219073906353e-06,
+      "loss": 0.6474,
+      "step": 220
+    },
+    {
+      "epoch": 1.58,
+      "learning_rate": 9.807039454702436e-06,
+      "loss": 0.6897,
+      "step": 221
+    },
+    {
+      "epoch": 1.58,
+      "learning_rate": 9.729871332306775e-06,
+      "loss": 0.6109,
+      "step": 222
+    },
+    {
+      "epoch": 1.59,
+      "learning_rate": 9.652719304483683e-06,
+      "loss": 0.6783,
+      "step": 223
+    },
+    {
+      "epoch": 1.6,
+      "learning_rate": 9.57558796803852e-06,
+      "loss": 0.6471,
+      "step": 224
+    },
+    {
+      "epoch": 1.6,
+      "learning_rate": 9.498481918543836e-06,
+      "loss": 0.6259,
+      "step": 225
+    },
+    {
+      "epoch": 1.61,
+      "learning_rate": 9.42140575006557e-06,
+      "loss": 0.6444,
+      "step": 226
+    },
+    {
+      "epoch": 1.62,
+      "learning_rate": 9.344364054889298e-06,
+      "loss": 0.6624,
+      "step": 227
+    },
+    {
+      "epoch": 1.63,
+      "learning_rate": 9.267361423246645e-06,
+      "loss": 0.6863,
+      "step": 228
+    },
+    {
+      "epoch": 1.63,
+      "learning_rate": 9.190402443041792e-06,
+      "loss": 0.643,
+      "step": 229
+    },
+    {
+      "epoch": 1.64,
+      "learning_rate": 9.11349169957811e-06,
+      "loss": 0.6617,
+      "step": 230
+    },
+    {
+      "epoch": 1.65,
+      "learning_rate": 9.036633775284968e-06,
+      "loss": 0.6689,
+      "step": 231
+    },
+    {
+      "epoch": 1.65,
+      "learning_rate": 8.959833249444715e-06,
+      "loss": 0.6269,
+      "step": 232
+    },
+    {
+      "epoch": 1.66,
+      "learning_rate": 8.883094697919839e-06,
+      "loss": 0.6601,
+      "step": 233
+    },
+    {
+      "epoch": 1.67,
+      "learning_rate": 8.806422692880318e-06,
+      "loss": 0.6672,
+      "step": 234
+    },
+    {
+      "epoch": 1.68,
+      "learning_rate": 8.729821802531213e-06,
+      "loss": 0.6126,
+      "step": 235
+    },
+    {
+      "epoch": 1.68,
+      "learning_rate": 8.653296590840509e-06,
+      "loss": 0.6506,
+      "step": 236
+    },
+    {
+      "epoch": 1.69,
+      "learning_rate": 8.576851617267151e-06,
+      "loss": 0.6503,
+      "step": 237
+    },
+    {
+      "epoch": 1.7,
+      "learning_rate": 8.500491436489413e-06,
+      "loss": 0.6969,
+      "step": 238
+    },
+    {
+      "epoch": 1.7,
+      "learning_rate": 8.424220598133526e-06,
+      "loss": 0.6609,
+      "step": 239
+    },
+    {
+      "epoch": 1.71,
+      "learning_rate": 8.348043646502588e-06,
+      "loss": 0.648,
+      "step": 240
+    },
+    {
+      "epoch": 1.72,
+      "learning_rate": 8.271965120305815e-06,
+      "loss": 0.7073,
+      "step": 241
+    },
+    {
+      "epoch": 1.73,
+      "learning_rate": 8.19598955238814e-06,
+      "loss": 0.6661,
+      "step": 242
+    },
+    {
+      "epoch": 1.73,
+      "learning_rate": 8.120121469460114e-06,
+      "loss": 0.727,
+      "step": 243
+    },
+    {
+      "epoch": 1.74,
+      "learning_rate": 8.04436539182821e-06,
+      "loss": 0.6866,
+      "step": 244
+    },
+    {
+      "epoch": 1.75,
+      "learning_rate": 7.968725833125505e-06,
+      "loss": 0.6556,
+      "step": 245
+    },
+    {
+      "epoch": 1.75,
+      "learning_rate": 7.89320730004274e-06,
+      "loss": 0.6132,
+      "step": 246
+    },
+    {
+      "epoch": 1.76,
+      "learning_rate": 7.81781429205981e-06,
+      "loss": 0.6601,
+      "step": 247
+    },
+    {
+      "epoch": 1.77,
+      "learning_rate": 7.74255130117769e-06,
+      "loss": 0.6627,
+      "step": 248
+    },
+    {
+      "epoch": 1.78,
+      "learning_rate": 7.667422811650786e-06,
+      "loss": 0.6766,
+      "step": 249
+    },
+    {
+      "epoch": 1.78,
+      "learning_rate": 7.592433299719757e-06,
+      "loss": 0.6407,
+      "step": 250
+    },
+    {
+      "epoch": 1.79,
+      "learning_rate": 7.51758723334482e-06,
+      "loss": 0.6199,
+      "step": 251
+    },
+    {
+      "epoch": 1.8,
+      "learning_rate": 7.442889071939548e-06,
+      "loss": 0.665,
+      "step": 252
+    },
+    {
+      "epoch": 1.8,
+      "learning_rate": 7.368343266105162e-06,
+      "loss": 0.671,
+      "step": 253
+    },
+    {
+      "epoch": 1.81,
+      "learning_rate": 7.293954257365368e-06,
+      "loss": 0.6747,
+      "step": 254
+    },
+    {
+      "epoch": 1.82,
+      "learning_rate": 7.2197264779017275e-06,
+      "loss": 0.6633,
+      "step": 255
+    },
+    {
+      "epoch": 1.83,
+      "learning_rate": 7.145664350289566e-06,
+      "loss": 0.6527,
+      "step": 256
+    },
+    {
+      "epoch": 1.83,
+      "learning_rate": 7.071772287234497e-06,
+      "loss": 0.6978,
+      "step": 257
+    },
+    {
+      "epoch": 1.84,
+      "learning_rate": 6.998054691309489e-06,
+      "loss": 0.6754,
+      "step": 258
+    },
+    {
+      "epoch": 1.85,
+      "learning_rate": 6.924515954692563e-06,
+      "loss": 0.66,
+      "step": 259
+    },
+    {
+      "epoch": 1.85,
+      "learning_rate": 6.851160458905093e-06,
+      "loss": 0.6229,
+      "step": 260
+    },
+    {
+      "epoch": 1.86,
+      "learning_rate": 6.777992574550767e-06,
+      "loss": 0.6619,
+      "step": 261
+    },
+    {
+      "epoch": 1.87,
+      "learning_rate": 6.705016661055162e-06,
+      "loss": 0.6291,
+      "step": 262
+    },
+    {
+      "epoch": 1.88,
+      "learning_rate": 6.632237066406014e-06,
+      "loss": 0.6353,
+      "step": 263
+    },
+    {
+      "epoch": 1.88,
+      "learning_rate": 6.559658126894169e-06,
+      "loss": 0.6533,
+      "step": 264
+    },
+    {
+      "epoch": 1.89,
+      "learning_rate": 6.487284166855203e-06,
+      "loss": 0.6381,
+      "step": 265
+    },
+    {
+      "epoch": 1.9,
+      "learning_rate": 6.4151194984117774e-06,
+      "loss": 0.6156,
+      "step": 266
+    },
+    {
+      "epoch": 1.9,
+      "learning_rate": 6.343168421216741e-06,
+      "loss": 0.6582,
+      "step": 267
+    },
+    {
+      "epoch": 1.91,
+      "learning_rate": 6.2714352221969155e-06,
+      "loss": 0.6862,
+      "step": 268
+    },
+    {
+      "epoch": 1.92,
+      "learning_rate": 6.199924175297701e-06,
+      "loss": 0.6487,
+      "step": 269
+    },
+    {
+      "epoch": 1.93,
+      "learning_rate": 6.128639541228427e-06,
+      "loss": 0.6534,
+      "step": 270
+    },
+    {
+      "epoch": 1.93,
+      "learning_rate": 6.057585567208484e-06,
+      "loss": 0.6827,
+      "step": 271
+    },
+    {
+      "epoch": 1.94,
+      "learning_rate": 5.986766486714268e-06,
+      "loss": 0.6595,
+      "step": 272
+    },
+    {
+      "epoch": 1.95,
+      "learning_rate": 5.916186519226966e-06,
+      "loss": 0.6754,
+      "step": 273
+    },
+    {
+      "epoch": 1.95,
+      "learning_rate": 5.845849869981137e-06,
+      "loss": 0.6635,
+      "step": 274
+    },
+    {
+      "epoch": 1.96,
+      "learning_rate": 5.775760729714155e-06,
+      "loss": 0.6604,
+      "step": 275
+    },
+    {
+      "epoch": 1.97,
+      "learning_rate": 5.705923274416536e-06,
+      "loss": 0.6956,
+      "step": 276
+    },
+    {
+      "epoch": 1.98,
+      "learning_rate": 5.636341665083121e-06,
+      "loss": 0.6262,
+      "step": 277
+    },
+    {
+      "epoch": 1.98,
+      "learning_rate": 5.5670200474651505e-06,
+      "loss": 0.6186,
+      "step": 278
+    },
+    {
+      "epoch": 1.99,
+      "learning_rate": 5.497962551823266e-06,
+      "loss": 0.6558,
+      "step": 279
+    },
+    {
+      "epoch": 2.0,
+      "learning_rate": 5.429173292681433e-06,
+      "loss": 0.7025,
+      "step": 280
+    },
+    {
+      "epoch": 2.0,
+      "learning_rate": 5.3606563685817646e-06,
+      "loss": 0.5535,
+      "step": 281
+    },
+    {
+      "epoch": 2.01,
+      "learning_rate": 5.29241586184035e-06,
+      "loss": 0.5372,
+      "step": 282
+    },
+    {
+      "epoch": 2.02,
+      "learning_rate": 5.224455838304028e-06,
+      "loss": 0.5183,
+      "step": 283
+    },
+    {
+      "epoch": 2.03,
+      "learning_rate": 5.1567803471081164e-06,
+      "loss": 0.5192,
+      "step": 284
+    },
+    {
+      "epoch": 2.03,
+      "learning_rate": 5.089393420435176e-06,
+      "loss": 0.5072,
+      "step": 285
+    },
+    {
+      "epoch": 2.04,
+      "learning_rate": 5.022299073274769e-06,
+      "loss": 0.5038,
+      "step": 286
+    },
+    {
+      "epoch": 2.05,
+      "learning_rate": 4.9555013031842445e-06,
+      "loss": 0.5133,
+      "step": 287
+    },
+    {
+      "epoch": 2.05,
+      "learning_rate": 4.889004090050536e-06,
+      "loss": 0.483,
+      "step": 288
+    },
+    {
+      "epoch": 2.06,
+      "learning_rate": 4.822811395853073e-06,
+      "loss": 0.478,
+      "step": 289
+    },
+    {
+      "epoch": 2.07,
+      "learning_rate": 4.756927164427685e-06,
+      "loss": 0.491,
+      "step": 290
+    },
+    {
+      "epoch": 2.08,
+      "learning_rate": 4.691355321231645e-06,
+      "loss": 0.5153,
+      "step": 291
+    },
+    {
+      "epoch": 2.08,
+      "learning_rate": 4.62609977310978e-06,
+      "loss": 0.5066,
+      "step": 292
+    },
+    {
+      "epoch": 2.09,
+      "learning_rate": 4.561164408061703e-06,
+      "loss": 0.495,
+      "step": 293
+    },
+    {
+      "epoch": 2.1,
+      "learning_rate": 4.496553095010147e-06,
+      "loss": 0.5069,
+      "step": 294
+    },
+    {
+      "epoch": 2.1,
+      "learning_rate": 4.432269683570469e-06,
+      "loss": 0.4724,
+      "step": 295
+    },
+    {
+      "epoch": 2.11,
+      "learning_rate": 4.368318003821266e-06,
+      "loss": 0.4922,
+      "step": 296
+    },
+    {
+      "epoch": 2.12,
+      "learning_rate": 4.304701866076194e-06,
+      "loss": 0.495,
+      "step": 297
+    },
+    {
+      "epoch": 2.13,
+      "learning_rate": 4.241425060656927e-06,
+      "loss": 0.5082,
+      "step": 298
+    },
+    {
+      "epoch": 2.13,
+      "learning_rate": 4.178491357667342e-06,
+      "loss": 0.4689,
+      "step": 299
+    },
+    {
+      "epoch": 2.14,
+      "learning_rate": 4.11590450676888e-06,
+      "loss": 0.4802,
+      "step": 300
+    },
+    {
+      "epoch": 2.15,
+      "learning_rate": 4.053668236957135e-06,
+      "loss": 0.4662,
+      "step": 301
+    },
+    {
+      "epoch": 2.15,
+      "learning_rate": 3.991786256339692e-06,
+      "loss": 0.529,
+      "step": 302
+    },
+    {
+      "epoch": 2.16,
+      "learning_rate": 3.930262251915181e-06,
+      "loss": 0.5224,
+      "step": 303
+    },
+    {
+      "epoch": 2.17,
+      "learning_rate": 3.869099889353597e-06,
+      "loss": 0.5176,
+      "step": 304
+    },
+    {
+      "epoch": 2.18,
+      "learning_rate": 3.8083028127779143e-06,
+      "loss": 0.5094,
+      "step": 305
+    },
+    {
+      "epoch": 2.18,
+      "learning_rate": 3.7478746445469415e-06,
+      "loss": 0.4926,
+      "step": 306
+    },
+    {
+      "epoch": 2.19,
+      "learning_rate": 3.6878189850395186e-06,
+      "loss": 0.4941,
+      "step": 307
+    },
+    {
+      "epoch": 2.2,
+      "learning_rate": 3.628139412439993e-06,
+      "loss": 0.5487,
+      "step": 308
+    },
+    {
+      "epoch": 2.2,
+      "learning_rate": 3.5688394825250193e-06,
+      "loss": 0.5081,
+      "step": 309
+    },
+    {
+      "epoch": 2.21,
+      "learning_rate": 3.5099227284517145e-06,
+      "loss": 0.4889,
+      "step": 310
+    },
+    {
+      "epoch": 2.22,
+      "learning_rate": 3.4513926605471504e-06,
+      "loss": 0.4938,
+      "step": 311
+    },
+    {
+      "epoch": 2.23,
+      "learning_rate": 3.3932527660991877e-06,
+      "loss": 0.4837,
+      "step": 312
+    },
+    {
+      "epoch": 2.23,
+      "learning_rate": 3.335506509148716e-06,
+      "loss": 0.4979,
+      "step": 313
+    },
+    {
+      "epoch": 2.24,
+      "learning_rate": 3.2781573302832493e-06,
+      "loss": 0.4936,
+      "step": 314
+    },
+    {
+      "epoch": 2.25,
+      "learning_rate": 3.221208646431949e-06,
+      "loss": 0.4766,
+      "step": 315
+    },
+    {
+      "epoch": 2.25,
+      "learning_rate": 3.1646638506620265e-06,
+      "loss": 0.5223,
+      "step": 316
+    },
+    {
+      "epoch": 2.26,
+      "learning_rate": 3.108526311976574e-06,
+      "loss": 0.498,
+      "step": 317
+    },
+    {
+      "epoch": 2.27,
+      "learning_rate": 3.0527993751138575e-06,
+      "loss": 0.4948,
+      "step": 318
+    },
+    {
+      "epoch": 2.28,
+      "learning_rate": 2.997486360348011e-06,
+      "loss": 0.4607,
+      "step": 319
+    },
+    {
+      "epoch": 2.28,
+      "learning_rate": 2.942590563291219e-06,
+      "loss": 0.5286,
+      "step": 320
+    },
+    {
+      "epoch": 2.29,
+      "learning_rate": 2.888115254697371e-06,
+      "loss": 0.5225,
+      "step": 321
+    },
+    {
+      "epoch": 2.3,
+      "learning_rate": 2.8340636802671716e-06,
+      "loss": 0.4547,
+      "step": 322
+    },
+    {
+      "epoch": 2.3,
+      "learning_rate": 2.780439060454756e-06,
+      "loss": 0.4879,
+      "step": 323
+    },
+    {
+      "epoch": 2.31,
+      "learning_rate": 2.727244590275834e-06,
+      "loss": 0.5063,
+      "step": 324
+    },
+    {
+      "epoch": 2.32,
+      "learning_rate": 2.674483439117296e-06,
+      "loss": 0.5119,
+      "step": 325
+    },
+    {
+      "epoch": 2.32,
+      "learning_rate": 2.622158750548407e-06,
+      "loss": 0.5264,
+      "step": 326
+    },
+    {
+      "epoch": 2.33,
+      "learning_rate": 2.5702736421334853e-06,
+      "loss": 0.5035,
+      "step": 327
+    },
+    {
+      "epoch": 2.34,
+      "learning_rate": 2.518831205246174e-06,
+      "loss": 0.5364,
+      "step": 328
+    },
+    {
+      "epoch": 2.35,
+      "learning_rate": 2.4678345048852326e-06,
+      "loss": 0.4828,
+      "step": 329
+    },
+    {
+      "epoch": 2.35,
+      "learning_rate": 2.4172865794919477e-06,
+      "loss": 0.4919,
+      "step": 330
+    },
+    {
+      "epoch": 2.36,
+      "learning_rate": 2.3671904407690704e-06,
+      "loss": 0.5037,
+      "step": 331
+    },
+    {
+      "epoch": 2.37,
+      "learning_rate": 2.317549073501396e-06,
+      "loss": 0.5387,
+      "step": 332
+    },
+    {
+      "epoch": 2.37,
+      "learning_rate": 2.268365435377915e-06,
+      "loss": 0.4866,
+      "step": 333
+    },
+    {
+      "epoch": 2.38,
+      "learning_rate": 2.2196424568156073e-06,
+      "loss": 0.5168,
+      "step": 334
+    },
+    {
+      "epoch": 2.39,
+      "learning_rate": 2.171383040784819e-06,
+      "loss": 0.5497,
+      "step": 335
+    },
+    {
+      "epoch": 2.4,
+      "learning_rate": 2.123590062636328e-06,
+      "loss": 0.4872,
+      "step": 336
+    },
+    {
+      "epoch": 2.4,
+      "learning_rate": 2.076266369930002e-06,
+      "loss": 0.4733,
+      "step": 337
+    },
+    {
+      "epoch": 2.41,
+      "learning_rate": 2.02941478226516e-06,
+      "loss": 0.4585,
+      "step": 338
+    },
+    {
+      "epoch": 2.42,
+      "learning_rate": 1.983038091112558e-06,
+      "loss": 0.5143,
+      "step": 339
+    },
+    {
+      "epoch": 2.42,
+      "learning_rate": 1.9371390596480865e-06,
+      "loss": 0.5329,
+      "step": 340
+    },
+    {
+      "epoch": 2.43,
+      "learning_rate": 1.8917204225881236e-06,
+      "loss": 0.4934,
+      "step": 341
+    },
+    {
+      "epoch": 2.44,
+      "learning_rate": 1.8467848860266047e-06,
+      "loss": 0.5128,
+      "step": 342
+    },
+    {
+      "epoch": 2.45,
+      "learning_rate": 1.8023351272737955e-06,
+      "loss": 0.5159,
+      "step": 343
+    },
+    {
+      "epoch": 2.45,
+      "learning_rate": 1.7583737946967606e-06,
+      "loss": 0.5194,
+      "step": 344
+    },
+    {
+      "epoch": 2.46,
+      "learning_rate": 1.7149035075615795e-06,
+      "loss": 0.5457,
+      "step": 345
+    },
+    {
+      "epoch": 2.47,
+      "learning_rate": 1.6719268558772927e-06,
+      "loss": 0.4861,
+      "step": 346
+    },
+    {
+      "epoch": 2.47,
+      "learning_rate": 1.6294464002415789e-06,
+      "loss": 0.4779,
+      "step": 347
+    },
+    {
+      "epoch": 2.48,
+      "learning_rate": 1.587464671688187e-06,
+      "loss": 0.4923,
+      "step": 348
+    },
+    {
+      "epoch": 2.49,
+      "learning_rate": 1.54598417153615e-06,
+      "loss": 0.4961,
+      "step": 349
+    },
+    {
+      "epoch": 2.5,
+      "learning_rate": 1.5050073712407354e-06,
+      "loss": 0.5059,
+      "step": 350
+    },
+    {
+      "epoch": 2.5,
+      "learning_rate": 1.464536712246205e-06,
+      "loss": 0.504,
+      "step": 351
+    },
+    {
+      "epoch": 2.51,
+      "learning_rate": 1.4245746058403464e-06,
+      "loss": 0.489,
+      "step": 352
+    },
+    {
+      "epoch": 2.52,
+      "learning_rate": 1.385123433010812e-06,
+      "loss": 0.4703,
+      "step": 353
+    },
+    {
+      "epoch": 2.52,
+      "learning_rate": 1.3461855443032456e-06,
+      "loss": 0.5223,
+      "step": 354
+    },
+    {
+      "epoch": 2.53,
+      "learning_rate": 1.3077632596812407e-06,
+      "loss": 0.4904,
+      "step": 355
+    },
+    {
+      "epoch": 2.54,
+      "learning_rate": 1.2698588683881185e-06,
+      "loss": 0.4623,
+      "step": 356
+    },
+    {
+      "epoch": 2.55,
+      "learning_rate": 1.2324746288105272e-06,
+      "loss": 0.5149,
+      "step": 357
+    },
+    {
+      "epoch": 2.55,
+      "learning_rate": 1.1956127683438822e-06,
+      "loss": 0.4923,
+      "step": 358
+    },
+    {
+      "epoch": 2.56,
+      "learning_rate": 1.1592754832596632e-06,
+      "loss": 0.5164,
+      "step": 359
+    },
+    {
+      "epoch": 2.57,
+      "learning_rate": 1.1234649385745488e-06,
+      "loss": 0.5093,
+      "step": 360
+    },
+    {
+      "epoch": 2.57,
+      "learning_rate": 1.0881832679214276e-06,
+      "loss": 0.4929,
+      "step": 361
+    },
+    {
+      "epoch": 2.58,
+      "learning_rate": 1.0534325734222773e-06,
+      "loss": 0.5419,
+      "step": 362
+    },
+    {
+      "epoch": 2.59,
+      "learning_rate": 1.0192149255629114e-06,
+      "loss": 0.5164,
+      "step": 363
+    },
+    {
+      "epoch": 2.6,
+      "learning_rate": 9.855323630696146e-07,
+      "loss": 0.4707,
+      "step": 364
+    },
+    {
+      "epoch": 2.6,
+      "learning_rate": 9.523868927876889e-07,
+      "loss": 0.4744,
+      "step": 365
+    },
+    {
+      "epoch": 2.61,
+      "learning_rate": 9.197804895618623e-07,
+      "loss": 0.4753,
+      "step": 366
+    },
+    {
+      "epoch": 2.62,
+      "learning_rate": 8.87715096118642e-07,
+      "loss": 0.4882,
+      "step": 367
+    },
+    {
+      "epoch": 2.62,
+      "learning_rate": 8.561926229505601e-07,
+      "loss": 0.4818,
+      "step": 368
+    },
+    {
+      "epoch": 2.63,
+      "learning_rate": 8.252149482023363e-07,
+      "loss": 0.4743,
+      "step": 369
+    },
+    {
+      "epoch": 2.64,
+      "learning_rate": 7.947839175589845e-07,
+      "loss": 0.4877,
+      "step": 370
+    },
+    {
+      "epoch": 2.65,
+      "learning_rate": 7.649013441358466e-07,
+      "loss": 0.5093,
+      "step": 371
+    },
+    {
+      "epoch": 2.65,
+      "learning_rate": 7.355690083705547e-07,
+      "loss": 0.4711,
+      "step": 372
+    },
+    {
+      "epoch": 2.66,
+      "learning_rate": 7.067886579169625e-07,
+      "loss": 0.477,
+      "step": 373
+    },
+    {
+      "epoch": 2.67,
+      "learning_rate": 6.78562007541006e-07,
+      "loss": 0.4992,
+      "step": 374
+    },
+    {
+      "epoch": 2.67,
+      "learning_rate": 6.508907390185504e-07,
+      "loss": 0.4993,
+      "step": 375
+    },
+    {
+      "epoch": 2.68,
+      "learning_rate": 6.237765010351715e-07,
+      "loss": 0.466,
+      "step": 376
+    },
+    {
+      "epoch": 2.69,
+      "learning_rate": 5.972209090879389e-07,
+      "loss": 0.4727,
+      "step": 377
+    },
+    {
+      "epoch": 2.7,
+      "learning_rate": 5.71225545389158e-07,
+      "loss": 0.4927,
+      "step": 378
+    },
+    {
+      "epoch": 2.7,
+      "learning_rate": 5.457919587720961e-07,
+      "loss": 0.5099,
+      "step": 379
+    },
+    {
+      "epoch": 2.71,
+      "learning_rate": 5.209216645987036e-07,
+      "loss": 0.5217,
+      "step": 380
+    },
+    {
+      "epoch": 2.72,
+      "learning_rate": 4.966161446693329e-07,
+      "loss": 0.5118,
+      "step": 381
+    },
+    {
+      "epoch": 2.72,
+      "learning_rate": 4.728768471344425e-07,
+      "loss": 0.5118,
+      "step": 382
+    },
+    {
+      "epoch": 2.73,
+      "learning_rate": 4.4970518640831687e-07,
+      "loss": 0.5028,
+      "step": 383
+    },
+    {
+      "epoch": 2.74,
+      "learning_rate": 4.271025430847986e-07,
+      "loss": 0.4986,
+      "step": 384
+    },
+    {
+      "epoch": 2.75,
+      "learning_rate": 4.0507026385502747e-07,
+      "loss": 0.4744,
+      "step": 385
+    },
+    {
+      "epoch": 2.75,
+      "learning_rate": 3.836096614271989e-07,
+      "loss": 0.4928,
+      "step": 386
+    },
+    {
+      "epoch": 2.76,
+      "learning_rate": 3.6272201444836006e-07,
+      "loss": 0.467,
+      "step": 387
+    },
+    {
+      "epoch": 2.77,
+      "learning_rate": 3.424085674282229e-07,
+      "loss": 0.4756,
+      "step": 388
+    },
+    {
+      "epoch": 2.77,
+      "learning_rate": 3.226705306650113e-07,
+      "loss": 0.5302,
+      "step": 389
+    },
+    {
+      "epoch": 2.78,
+      "learning_rate": 3.0350908017335423e-07,
+      "loss": 0.4687,
+      "step": 390
+    },
+    {
+      "epoch": 2.79,
+      "learning_rate": 2.8492535761421635e-07,
+      "loss": 0.4699,
+      "step": 391
+    },
+    {
+      "epoch": 2.8,
+      "learning_rate": 2.6692047022687684e-07,
+      "loss": 0.472,
+      "step": 392
+    },
+    {
+      "epoch": 2.8,
+      "learning_rate": 2.494954907629565e-07,
+      "loss": 0.5102,
+      "step": 393
+    },
+    {
+      "epoch": 2.81,
+      "learning_rate": 2.3265145742250694e-07,
+      "loss": 0.4985,
+      "step": 394
+    },
+    {
+      "epoch": 2.82,
+      "learning_rate": 2.1638937379214852e-07,
+      "loss": 0.4999,
+      "step": 395
+    },
+    {
+      "epoch": 2.82,
+      "learning_rate": 2.0071020878527857e-07,
+      "loss": 0.4821,
+      "step": 396
+    },
+    {
+      "epoch": 2.83,
+      "learning_rate": 1.8561489658433963e-07,
+      "loss": 0.5049,
+      "step": 397
+    },
+    {
+      "epoch": 2.84,
+      "learning_rate": 1.711043365851639e-07,
+      "loss": 0.4672,
+      "step": 398
+    },
+    {
+      "epoch": 2.85,
+      "learning_rate": 1.5717939334338184e-07,
+      "loss": 0.5159,
+      "step": 399
+    },
+    {
+      "epoch": 2.85,
+      "learning_rate": 1.4384089652291544e-07,
+      "loss": 0.4481,
+      "step": 400
+    },
+    {
+      "epoch": 2.86,
+      "learning_rate": 1.310896408465401e-07,
+      "loss": 0.4825,
+      "step": 401
+    },
+    {
+      "epoch": 2.87,
+      "learning_rate": 1.1892638604853901e-07,
+      "loss": 0.4974,
+      "step": 402
+    },
+    {
+      "epoch": 2.87,
+      "learning_rate": 1.0735185682943628e-07,
+      "loss": 0.5136,
+      "step": 403
+    },
+    {
+      "epoch": 2.88,
+      "learning_rate": 9.636674281281788e-08,
+      "loss": 0.4991,
+      "step": 404
+    },
+    {
+      "epoch": 2.89,
+      "learning_rate": 8.597169850424136e-08,
+      "loss": 0.4636,
+      "step": 405
+    },
+    {
+      "epoch": 2.9,
+      "learning_rate": 7.616734325224473e-08,
+      "loss": 0.5009,
+      "step": 406
+    },
+    {
+      "epoch": 2.9,
+      "learning_rate": 6.69542612114371e-08,
+      "loss": 0.4814,
+      "step": 407
+    },
+    {
+      "epoch": 2.91,
+      "learning_rate": 5.833300130770436e-08,
+      "loss": 0.4765,
+      "step": 408
+    },
+    {
+      "epoch": 2.92,
+      "learning_rate": 5.030407720549413e-08,
+      "loss": 0.4909,
+      "step": 409
+    },
+    {
+      "epoch": 2.92,
+      "learning_rate": 4.286796727721476e-08,
+      "loss": 0.4783,
+      "step": 410
+    },
+    {
+      "epoch": 2.93,
+      "learning_rate": 3.602511457473479e-08,
+      "loss": 0.493,
+      "step": 411
+    },
+    {
+      "epoch": 2.94,
+      "learning_rate": 2.9775926802984022e-08,
+      "loss": 0.4648,
+      "step": 412
+    },
+    {
+      "epoch": 2.95,
+      "learning_rate": 2.4120776295659675e-08,
+      "loss": 0.4917,
+      "step": 413
+    },
+    {
+      "epoch": 2.95,
+      "learning_rate": 1.905999999304853e-08,
+      "loss": 0.4844,
+      "step": 414
+    },
+    {
+      "epoch": 2.96,
+      "learning_rate": 1.4593899421943003e-08,
+      "loss": 0.4925,
+      "step": 415
+    },
+    {
+      "epoch": 2.97,
+      "learning_rate": 1.0722740677685529e-08,
+      "loss": 0.4803,
+      "step": 416
+    },
+    {
+      "epoch": 2.97,
+      "learning_rate": 7.4467544083067776e-09,
+      "loss": 0.4579,
+      "step": 417
+    },
+    {
+      "epoch": 2.98,
+      "learning_rate": 4.766135800785554e-09,
+      "loss": 0.4739,
+      "step": 418
+    },
+    {
+      "epoch": 2.99,
+      "learning_rate": 2.68104456942031e-09,
+      "loss": 0.5126,
+      "step": 419
+    },
+    {
+      "epoch": 3.0,
+      "learning_rate": 1.1916049463134293e-09,
+      "loss": 0.4761,
+      "step": 420
+    },
+    {
+      "epoch": 3.0,
+      "step": 420,
+      "total_flos": 1.7711353317818368e+17,
+      "train_loss": 0.6881538674944923,
+      "train_runtime": 11850.5144,
+      "train_samples_per_second": 18.172,
+      "train_steps_per_second": 0.035
+    }
+  ],
+  "max_steps": 420,
+  "num_train_epochs": 3,
+  "total_flos": 1.7711353317818368e+17,
+  "trial_name": null,
+  "trial_params": null
+}

7B-2nd-train/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d393098e52facaab695c8a5a28ff25d2c56b92016e757bdb1c154c1835d15399
+size 3707