Model save

README.md

@@ -0,0 +1,60 @@
+---
+license: apache-2.0
+base_model: alignment-handbook/zephyr-7b-sft-full
+tags:
+- trl
+- dpo
+- generated_from_trainer
+model-index:
+- name: zephyr-7b-DPOBS128Base-full
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# zephyr-7b-DPOBS128Base-full
+
+This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on an unknown dataset.
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-07
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 128
+- total_eval_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 1
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

all_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 0.998691442030882,
+    "total_flos": 0.0,
+    "train_loss": 0.6349887008187156,
+    "train_runtime": 13807.6715,
+    "train_samples": 61135,
+    "train_samples_per_second": 4.428,
+    "train_steps_per_second": 0.035
+}

config.json

@@ -0,0 +1,26 @@
+{
+  "_name_or_path": "alignment-handbook/zephyr-7b-sft-full",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.41.2",
+  "use_cache": false,
+  "vocab_size": 32000
+}

generation_config.json

@@ -0,0 +1,6 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.41.2"
+}

model-00001-of-00003.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:118a4a71a39f2e3ad1444fb53b15f9f6669bf6b0b6e268a679bb9a5266972547
+size 4943162336

model-00002-of-00003.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c556dd707e179bad13b9418a8816820d965e8f8053c49ba44dc2bd9e5d8ff8e2
+size 4999819336

model-00003-of-00003.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cdd838cf12f681078dde6b6eb6069acb3bfa242ada76ed068ad282e01d2e9d3a
+size 4540516344

model.safetensors.index.json

@@ -0,0 +1,298 @@
+{
+  "metadata": {
+    "total_size": 14483464192
+  },
+  "weight_map": {
+    "lm_head.weight": "model-00003-of-00003.safetensors",
+    "model.embed_tokens.weight": "model-00001-of-00003.safetensors",
+    "model.layers.0.input_layernorm.weight": "model-00001-of-00003.safetensors",
+    "model.layers.0.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.0.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
+    "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.1.input_layernorm.weight": "model-00001-of-00003.safetensors",
+    "model.layers.1.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.1.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
+    "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.10.input_layernorm.weight": "model-00002-of-00003.safetensors",
+    "model.layers.10.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.10.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.10.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.10.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
+    "model.layers.10.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.10.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.10.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.10.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.11.input_layernorm.weight": "model-00002-of-00003.safetensors",
+    "model.layers.11.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.11.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.11.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.11.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
+    "model.layers.11.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.11.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.11.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.11.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.12.input_layernorm.weight": "model-00002-of-00003.safetensors",
+    "model.layers.12.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.12.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.12.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.12.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
+    "model.layers.12.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.12.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.12.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.12.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.13.input_layernorm.weight": "model-00002-of-00003.safetensors",
+    "model.layers.13.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.13.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.13.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.13.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
+    "model.layers.13.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.13.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.13.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.13.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.14.input_layernorm.weight": "model-00002-of-00003.safetensors",
+    "model.layers.14.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.14.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.14.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.14.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
+    "model.layers.14.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.14.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.14.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.14.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.15.input_layernorm.weight": "model-00002-of-00003.safetensors",
+    "model.layers.15.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.15.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.15.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.15.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
+    "model.layers.15.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.15.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.15.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.15.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.16.input_layernorm.weight": "model-00002-of-00003.safetensors",
+    "model.layers.16.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.16.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.16.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.16.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
+    "model.layers.16.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.16.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.16.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.16.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.17.input_layernorm.weight": "model-00002-of-00003.safetensors",
+    "model.layers.17.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.17.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.17.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.17.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
+    "model.layers.17.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.17.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.17.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.17.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.18.input_layernorm.weight": "model-00002-of-00003.safetensors",
+    "model.layers.18.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.18.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.18.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.18.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
+    "model.layers.18.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.18.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.18.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.18.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.19.input_layernorm.weight": "model-00002-of-00003.safetensors",
+    "model.layers.19.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.19.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.19.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.19.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
+    "model.layers.19.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.19.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.19.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.19.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.2.input_layernorm.weight": "model-00001-of-00003.safetensors",
+    "model.layers.2.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.2.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
+    "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.20.input_layernorm.weight": "model-00002-of-00003.safetensors",
+    "model.layers.20.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.20.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.20.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.20.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
+    "model.layers.20.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.20.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.20.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.20.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.21.input_layernorm.weight": "model-00002-of-00003.safetensors",
+    "model.layers.21.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.21.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.21.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.21.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
+    "model.layers.21.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.21.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.21.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.21.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.22.input_layernorm.weight": "model-00003-of-00003.safetensors",
+    "model.layers.22.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.22.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.22.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.22.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
+    "model.layers.22.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.22.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.22.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.22.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.23.input_layernorm.weight": "model-00003-of-00003.safetensors",
+    "model.layers.23.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.23.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.23.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.23.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
+    "model.layers.23.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.23.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.23.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.23.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.24.input_layernorm.weight": "model-00003-of-00003.safetensors",
+    "model.layers.24.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.24.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.24.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.24.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
+    "model.layers.24.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.24.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.24.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.24.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.25.input_layernorm.weight": "model-00003-of-00003.safetensors",
+    "model.layers.25.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.25.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.25.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.25.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
+    "model.layers.25.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.25.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.25.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.25.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.26.input_layernorm.weight": "model-00003-of-00003.safetensors",
+    "model.layers.26.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.26.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.26.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.26.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
+    "model.layers.26.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.26.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.26.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.26.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.27.input_layernorm.weight": "model-00003-of-00003.safetensors",
+    "model.layers.27.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.27.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.27.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.27.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
+    "model.layers.27.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.27.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.27.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.27.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.28.input_layernorm.weight": "model-00003-of-00003.safetensors",
+    "model.layers.28.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.28.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.28.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.28.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
+    "model.layers.28.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.28.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.28.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.28.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.29.input_layernorm.weight": "model-00003-of-00003.safetensors",
+    "model.layers.29.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.29.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.29.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.29.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
+    "model.layers.29.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.29.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.29.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.29.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.3.input_layernorm.weight": "model-00001-of-00003.safetensors",
+    "model.layers.3.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.3.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
+    "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.30.input_layernorm.weight": "model-00003-of-00003.safetensors",
+    "model.layers.30.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.30.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.30.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.30.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
+    "model.layers.30.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.30.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.30.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.30.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.31.input_layernorm.weight": "model-00003-of-00003.safetensors",
+    "model.layers.31.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.31.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.31.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.31.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
+    "model.layers.31.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.31.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.31.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.31.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.4.input_layernorm.weight": "model-00001-of-00003.safetensors",
+    "model.layers.4.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.4.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.4.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
+    "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.5.input_layernorm.weight": "model-00001-of-00003.safetensors",
+    "model.layers.5.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.5.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.5.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.5.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
+    "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.6.input_layernorm.weight": "model-00001-of-00003.safetensors",
+    "model.layers.6.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.6.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.6.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.6.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
+    "model.layers.6.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.6.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.6.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.6.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.7.input_layernorm.weight": "model-00001-of-00003.safetensors",
+    "model.layers.7.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.7.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.7.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.7.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
+    "model.layers.7.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.7.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.7.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.7.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.8.input_layernorm.weight": "model-00001-of-00003.safetensors",
+    "model.layers.8.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.8.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.8.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.8.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
+    "model.layers.8.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.8.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.8.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.8.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.9.input_layernorm.weight": "model-00001-of-00003.safetensors",
+    "model.layers.9.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.9.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.9.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.9.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
+    "model.layers.9.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.9.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.9.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.9.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
+    "model.norm.weight": "model-00003-of-00003.safetensors"
+  }
+}

special_tokens_map.json

@@ -0,0 +1,30 @@
+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

@@ -0,0 +1,43 @@
+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [],
+  "bos_token": "<s>",
+  "chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n'  + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "legacy": true,
+  "model_max_length": 2048,
+  "pad_token": "</s>",
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 0.998691442030882,
+    "total_flos": 0.0,
+    "train_loss": 0.6349887008187156,
+    "train_runtime": 13807.6715,
+    "train_samples": 61135,
+    "train_samples_per_second": 4.428,
+    "train_steps_per_second": 0.035
+}

trainer_state.json

@@ -0,0 +1,762 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 0.998691442030882,
+  "eval_steps": 500,
+  "global_step": 477,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.002093692750588851,
+      "grad_norm": 4.60470009024502,
+      "learning_rate": 1.0416666666666666e-08,
+      "logits/chosen": 5002.53564453125,
+      "logits/rejected": 4591.72021484375,
+      "logps/chosen": -265.6396789550781,
+      "logps/rejected": -206.22401428222656,
+      "loss": 0.6931,
+      "rewards/accuracies": 0.0,
+      "rewards/chosen": 0.0,
+      "rewards/margins": 0.0,
+      "rewards/rejected": 0.0,
+      "step": 1
+    },
+    {
+      "epoch": 0.02093692750588851,
+      "grad_norm": 3.9004836147811037,
+      "learning_rate": 1.0416666666666667e-07,
+      "logits/chosen": 5977.43212890625,
+      "logits/rejected": 5015.40087890625,
+      "logps/chosen": -292.5469970703125,
+      "logps/rejected": -259.3294677734375,
+      "loss": 0.6931,
+      "rewards/accuracies": 0.4618055522441864,
+      "rewards/chosen": 0.00013807312643621117,
+      "rewards/margins": 0.00019646011060103774,
+      "rewards/rejected": -5.838695869897492e-05,
+      "step": 10
+    },
+    {
+      "epoch": 0.04187385501177702,
+      "grad_norm": 4.409000344379127,
+      "learning_rate": 2.0833333333333333e-07,
+      "logits/chosen": 5877.6181640625,
+      "logits/rejected": 4855.9072265625,
+      "logps/chosen": -290.42059326171875,
+      "logps/rejected": -249.79830932617188,
+      "loss": 0.6926,
+      "rewards/accuracies": 0.6343749761581421,
+      "rewards/chosen": 0.0017289689276367426,
+      "rewards/margins": 0.002378009492531419,
+      "rewards/rejected": -0.000649040739517659,
+      "step": 20
+    },
+    {
+      "epoch": 0.06281078251766553,
+      "grad_norm": 4.1115595198104895,
+      "learning_rate": 3.1249999999999997e-07,
+      "logits/chosen": 5644.3134765625,
+      "logits/rejected": 4922.59326171875,
+      "logps/chosen": -270.7469787597656,
+      "logps/rejected": -238.15133666992188,
+      "loss": 0.6907,
+      "rewards/accuracies": 0.581250011920929,
+      "rewards/chosen": 0.014904869720339775,
+      "rewards/margins": 0.008396080695092678,
+      "rewards/rejected": 0.00650878855958581,
+      "step": 30
+    },
+    {
+      "epoch": 0.08374771002355404,
+      "grad_norm": 3.9812692815534487,
+      "learning_rate": 4.1666666666666667e-07,
+      "logits/chosen": 5738.85693359375,
+      "logits/rejected": 4991.9970703125,
+      "logps/chosen": -269.1136169433594,
+      "logps/rejected": -256.45672607421875,
+      "loss": 0.6855,
+      "rewards/accuracies": 0.6781250238418579,
+      "rewards/chosen": 0.04843459650874138,
+      "rewards/margins": 0.0284621212631464,
+      "rewards/rejected": 0.01997247338294983,
+      "step": 40
+    },
+    {
+      "epoch": 0.10468463752944256,
+      "grad_norm": 4.46544140589733,
+      "learning_rate": 4.999731868769026e-07,
+      "logits/chosen": 6019.5712890625,
+      "logits/rejected": 5225.3515625,
+      "logps/chosen": -276.187744140625,
+      "logps/rejected": -271.6847839355469,
+      "loss": 0.6789,
+      "rewards/accuracies": 0.6812499761581421,
+      "rewards/chosen": 0.02429984137415886,
+      "rewards/margins": 0.0659550279378891,
+      "rewards/rejected": -0.04165518283843994,
+      "step": 50
+    },
+    {
+      "epoch": 0.12562156503533106,
+      "grad_norm": 4.993454825378816,
+      "learning_rate": 4.990353313429303e-07,
+      "logits/chosen": 5790.12646484375,
+      "logits/rejected": 4928.04296875,
+      "logps/chosen": -284.0537109375,
+      "logps/rejected": -269.0484313964844,
+      "loss": 0.6716,
+      "rewards/accuracies": 0.6781250238418579,
+      "rewards/chosen": -0.05631242319941521,
+      "rewards/margins": 0.11938270181417465,
+      "rewards/rejected": -0.17569510638713837,
+      "step": 60
+    },
+    {
+      "epoch": 0.14655849254121958,
+      "grad_norm": 6.738341247222451,
+      "learning_rate": 4.967625656594781e-07,
+      "logits/chosen": 5591.57421875,
+      "logits/rejected": 5146.23779296875,
+      "logps/chosen": -288.3265380859375,
+      "logps/rejected": -293.3169860839844,
+      "loss": 0.664,
+      "rewards/accuracies": 0.659375011920929,
+      "rewards/chosen": -0.1001863032579422,
+      "rewards/margins": 0.16495101153850555,
+      "rewards/rejected": -0.26513734459877014,
+      "step": 70
+    },
+    {
+      "epoch": 0.16749542004710807,
+      "grad_norm": 6.195725545958302,
+      "learning_rate": 4.93167072587771e-07,
+      "logits/chosen": 5745.04443359375,
+      "logits/rejected": 4929.4033203125,
+      "logps/chosen": -285.25628662109375,
+      "logps/rejected": -284.0039367675781,
+      "loss": 0.6578,
+      "rewards/accuracies": 0.6781250238418579,
+      "rewards/chosen": -0.09169374406337738,
+      "rewards/margins": 0.2176208794116974,
+      "rewards/rejected": -0.30931463837623596,
+      "step": 80
+    },
+    {
+      "epoch": 0.1884323475529966,
+      "grad_norm": 8.253469662871487,
+      "learning_rate": 4.882681251368548e-07,
+      "logits/chosen": 5881.85693359375,
+      "logits/rejected": 4956.69482421875,
+      "logps/chosen": -295.1579895019531,
+      "logps/rejected": -297.10235595703125,
+      "loss": 0.654,
+      "rewards/accuracies": 0.684374988079071,
+      "rewards/chosen": -0.1745041012763977,
+      "rewards/margins": 0.24678310751914978,
+      "rewards/rejected": -0.4212872087955475,
+      "step": 90
+    },
+    {
+      "epoch": 0.2093692750588851,
+      "grad_norm": 9.862843851151778,
+      "learning_rate": 4.820919832540181e-07,
+      "logits/chosen": 5971.64794921875,
+      "logits/rejected": 5451.3154296875,
+      "logps/chosen": -310.86712646484375,
+      "logps/rejected": -344.1552734375,
+      "loss": 0.6478,
+      "rewards/accuracies": 0.6875,
+      "rewards/chosen": -0.3099839687347412,
+      "rewards/margins": 0.38641446828842163,
+      "rewards/rejected": -0.6963984370231628,
+      "step": 100
+    },
+    {
+      "epoch": 0.23030620256477363,
+      "grad_norm": 7.664167361758326,
+      "learning_rate": 4.7467175306295647e-07,
+      "logits/chosen": 6156.85791015625,
+      "logits/rejected": 4974.04296875,
+      "logps/chosen": -305.1463317871094,
+      "logps/rejected": -332.91363525390625,
+      "loss": 0.6379,
+      "rewards/accuracies": 0.7124999761581421,
+      "rewards/chosen": -0.3052375018596649,
+      "rewards/margins": 0.4351824223995209,
+      "rewards/rejected": -0.7404199838638306,
+      "step": 110
+    },
+    {
+      "epoch": 0.2512431300706621,
+      "grad_norm": 8.556770009207627,
+      "learning_rate": 4.6604720940421207e-07,
+      "logits/chosen": 5761.1591796875,
+      "logits/rejected": 5308.05224609375,
+      "logps/chosen": -308.85296630859375,
+      "logps/rejected": -346.0533447265625,
+      "loss": 0.6438,
+      "rewards/accuracies": 0.699999988079071,
+      "rewards/chosen": -0.41673964262008667,
+      "rewards/margins": 0.37503576278686523,
+      "rewards/rejected": -0.7917754054069519,
+      "step": 120
+    },
+    {
+      "epoch": 0.2721800575765506,
+      "grad_norm": 11.15595897330077,
+      "learning_rate": 4.5626458262912735e-07,
+      "logits/chosen": 5819.66357421875,
+      "logits/rejected": 5165.65771484375,
+      "logps/chosen": -305.6595458984375,
+      "logps/rejected": -344.2333679199219,
+      "loss": 0.6412,
+      "rewards/accuracies": 0.690625011920929,
+      "rewards/chosen": -0.37142214179039,
+      "rewards/margins": 0.38082534074783325,
+      "rewards/rejected": -0.7522474527359009,
+      "step": 130
+    },
+    {
+      "epoch": 0.29311698508243916,
+      "grad_norm": 8.207443336589154,
+      "learning_rate": 4.453763107901675e-07,
+      "logits/chosen": 5615.36279296875,
+      "logits/rejected": 4947.9091796875,
+      "logps/chosen": -302.700927734375,
+      "logps/rejected": -326.2046203613281,
+      "loss": 0.6425,
+      "rewards/accuracies": 0.7124999761581421,
+      "rewards/chosen": -0.30796128511428833,
+      "rewards/margins": 0.4427562654018402,
+      "rewards/rejected": -0.7507175207138062,
+      "step": 140
+    },
+    {
+      "epoch": 0.31405391258832765,
+      "grad_norm": 11.288023963328941,
+      "learning_rate": 4.3344075855595097e-07,
+      "logits/chosen": 6199.8349609375,
+      "logits/rejected": 5057.89990234375,
+      "logps/chosen": -339.68829345703125,
+      "logps/rejected": -355.90643310546875,
+      "loss": 0.636,
+      "rewards/accuracies": 0.7437499761581421,
+      "rewards/chosen": -0.5057331323623657,
+      "rewards/margins": 0.5384237766265869,
+      "rewards/rejected": -1.044156789779663,
+      "step": 150
+    },
+    {
+      "epoch": 0.33499084009421615,
+      "grad_norm": 10.16845225583156,
+      "learning_rate": 4.2052190435769554e-07,
+      "logits/chosen": 5847.75634765625,
+      "logits/rejected": 4841.6728515625,
+      "logps/chosen": -347.44244384765625,
+      "logps/rejected": -371.6456604003906,
+      "loss": 0.6265,
+      "rewards/accuracies": 0.7406250238418579,
+      "rewards/chosen": -0.6284831762313843,
+      "rewards/margins": 0.5241909027099609,
+      "rewards/rejected": -1.1526740789413452,
+      "step": 160
+    },
+    {
+      "epoch": 0.3559277676001047,
+      "grad_norm": 12.422675446136871,
+      "learning_rate": 4.0668899744407567e-07,
+      "logits/chosen": 6190.0078125,
+      "logits/rejected": 5228.7177734375,
+      "logps/chosen": -333.79241943359375,
+      "logps/rejected": -341.86968994140625,
+      "loss": 0.6269,
+      "rewards/accuracies": 0.7250000238418579,
+      "rewards/chosen": -0.5147669911384583,
+      "rewards/margins": 0.4974791407585144,
+      "rewards/rejected": -1.012246012687683,
+      "step": 170
+    },
+    {
+      "epoch": 0.3768646951059932,
+      "grad_norm": 8.193752614141884,
+      "learning_rate": 3.920161866827889e-07,
+      "logits/chosen": 5827.63427734375,
+      "logits/rejected": 4925.3046875,
+      "logps/chosen": -342.14068603515625,
+      "logps/rejected": -365.3731689453125,
+      "loss": 0.6314,
+      "rewards/accuracies": 0.7437499761581421,
+      "rewards/chosen": -0.548454225063324,
+      "rewards/margins": 0.6054696440696716,
+      "rewards/rejected": -1.1539238691329956,
+      "step": 180
+    },
+    {
+      "epoch": 0.39780162261188173,
+      "grad_norm": 11.037520790820944,
+      "learning_rate": 3.765821230985757e-07,
+      "logits/chosen": 5962.33056640625,
+      "logits/rejected": 4930.44091796875,
+      "logps/chosen": -310.32427978515625,
+      "logps/rejected": -358.37774658203125,
+      "loss": 0.6203,
+      "rewards/accuracies": 0.7593749761581421,
+      "rewards/chosen": -0.40572792291641235,
+      "rewards/margins": 0.6992164850234985,
+      "rewards/rejected": -1.1049444675445557,
+      "step": 190
+    },
+    {
+      "epoch": 0.4187385501177702,
+      "grad_norm": 9.527716723410062,
+      "learning_rate": 3.604695382782159e-07,
+      "logits/chosen": 5604.3310546875,
+      "logits/rejected": 4814.98828125,
+      "logps/chosen": -303.8848876953125,
+      "logps/rejected": -348.39678955078125,
+      "loss": 0.6349,
+      "rewards/accuracies": 0.7250000238418579,
+      "rewards/chosen": -0.495340496301651,
+      "rewards/margins": 0.5600203275680542,
+      "rewards/rejected": -1.0553607940673828,
+      "step": 200
+    },
+    {
+      "epoch": 0.4396754776236587,
+      "grad_norm": 12.016875634198213,
+      "learning_rate": 3.4376480090239047e-07,
+      "logits/chosen": 6233.3984375,
+      "logits/rejected": 5250.013671875,
+      "logps/chosen": -342.68585205078125,
+      "logps/rejected": -369.70904541015625,
+      "loss": 0.63,
+      "rewards/accuracies": 0.7124999761581421,
+      "rewards/chosen": -0.5591845512390137,
+      "rewards/margins": 0.5208701491355896,
+      "rewards/rejected": -1.0800548791885376,
+      "step": 210
+    },
+    {
+      "epoch": 0.46061240512954726,
+      "grad_norm": 12.10521639246573,
+      "learning_rate": 3.265574537815398e-07,
+      "logits/chosen": 5601.2353515625,
+      "logits/rejected": 5141.3740234375,
+      "logps/chosen": -329.7219543457031,
+      "logps/rejected": -389.0228271484375,
+      "loss": 0.6191,
+      "rewards/accuracies": 0.778124988079071,
+      "rewards/chosen": -0.5860620737075806,
+      "rewards/margins": 0.7007312178611755,
+      "rewards/rejected": -1.2867933511734009,
+      "step": 220
+    },
+    {
+      "epoch": 0.48154933263543576,
+      "grad_norm": 10.132071032109883,
+      "learning_rate": 3.0893973387735683e-07,
+      "logits/chosen": 5776.4091796875,
+      "logits/rejected": 4840.046875,
+      "logps/chosen": -335.4309997558594,
+      "logps/rejected": -385.7275695800781,
+      "loss": 0.619,
+      "rewards/accuracies": 0.7749999761581421,
+      "rewards/chosen": -0.6716222763061523,
+      "rewards/margins": 0.7313363552093506,
+      "rewards/rejected": -1.402958631515503,
+      "step": 230
+    },
+    {
+      "epoch": 0.5024862601413242,
+      "grad_norm": 11.646693213650721,
+      "learning_rate": 2.910060778827554e-07,
+      "logits/chosen": 5956.8095703125,
+      "logits/rejected": 4968.13232421875,
+      "logps/chosen": -334.1136779785156,
+      "logps/rejected": -376.6734619140625,
+      "loss": 0.6266,
+      "rewards/accuracies": 0.7281249761581421,
+      "rewards/chosen": -0.6853675246238708,
+      "rewards/margins": 0.5835575461387634,
+      "rewards/rejected": -1.2689251899719238,
+      "step": 240
+    },
+    {
+      "epoch": 0.5234231876472127,
+      "grad_norm": 9.693640002493433,
+      "learning_rate": 2.7285261601056697e-07,
+      "logits/chosen": 6025.3310546875,
+      "logits/rejected": 5018.666015625,
+      "logps/chosen": -362.75250244140625,
+      "logps/rejected": -400.90155029296875,
+      "loss": 0.6285,
+      "rewards/accuracies": 0.7250000238418579,
+      "rewards/chosen": -0.7680386304855347,
+      "rewards/margins": 0.6202248334884644,
+      "rewards/rejected": -1.3882635831832886,
+      "step": 250
+    },
+    {
+      "epoch": 0.5443601151531012,
+      "grad_norm": 12.110581184936667,
+      "learning_rate": 2.5457665670441937e-07,
+      "logits/chosen": 5841.02197265625,
+      "logits/rejected": 5221.95703125,
+      "logps/chosen": -350.9548034667969,
+      "logps/rejected": -391.574951171875,
+      "loss": 0.6227,
+      "rewards/accuracies": 0.7875000238418579,
+      "rewards/chosen": -0.6488569974899292,
+      "rewards/margins": 0.6560698747634888,
+      "rewards/rejected": -1.304926872253418,
+      "step": 260
+    },
+    {
+      "epoch": 0.5652970426589898,
+      "grad_norm": 11.095733736590391,
+      "learning_rate": 2.3627616503391812e-07,
+      "logits/chosen": 5896.1123046875,
+      "logits/rejected": 5345.4794921875,
+      "logps/chosen": -338.3013000488281,
+      "logps/rejected": -395.18365478515625,
+      "loss": 0.6222,
+      "rewards/accuracies": 0.784375011920929,
+      "rewards/chosen": -0.6368743777275085,
+      "rewards/margins": 0.7109971046447754,
+      "rewards/rejected": -1.3478715419769287,
+      "step": 270
+    },
+    {
+      "epoch": 0.5862339701648783,
+      "grad_norm": 9.899171422824232,
+      "learning_rate": 2.1804923757009882e-07,
+      "logits/chosen": 5956.20751953125,
+      "logits/rejected": 4884.17724609375,
+      "logps/chosen": -336.65655517578125,
+      "logps/rejected": -378.20257568359375,
+      "loss": 0.6209,
+      "rewards/accuracies": 0.737500011920929,
+      "rewards/chosen": -0.5593088269233704,
+      "rewards/margins": 0.7548757791519165,
+      "rewards/rejected": -1.314184546470642,
+      "step": 280
+    },
+    {
+      "epoch": 0.6071708976707668,
+      "grad_norm": 14.00097312046503,
+      "learning_rate": 1.9999357655598891e-07,
+      "logits/chosen": 6179.2138671875,
+      "logits/rejected": 5698.1767578125,
+      "logps/chosen": -375.6763000488281,
+      "logps/rejected": -440.81805419921875,
+      "loss": 0.6268,
+      "rewards/accuracies": 0.715624988079071,
+      "rewards/chosen": -0.8424223065376282,
+      "rewards/margins": 0.5865424275398254,
+      "rewards/rejected": -1.4289648532867432,
+      "step": 290
+    },
+    {
+      "epoch": 0.6281078251766553,
+      "grad_norm": 14.203557312456628,
+      "learning_rate": 1.8220596619089573e-07,
+      "logits/chosen": 5657.166015625,
+      "logits/rejected": 5264.8466796875,
+      "logps/chosen": -350.72784423828125,
+      "logps/rejected": -411.1917419433594,
+      "loss": 0.6231,
+      "rewards/accuracies": 0.721875011920929,
+      "rewards/chosen": -0.7937782406806946,
+      "rewards/margins": 0.6089503765106201,
+      "rewards/rejected": -1.40272855758667,
+      "step": 300
+    },
+    {
+      "epoch": 0.6490447526825438,
+      "grad_norm": 10.770674638912404,
+      "learning_rate": 1.647817538357072e-07,
+      "logits/chosen": 6337.3076171875,
+      "logits/rejected": 5510.4892578125,
+      "logps/chosen": -360.8718566894531,
+      "logps/rejected": -397.1591796875,
+      "loss": 0.6192,
+      "rewards/accuracies": 0.765625,
+      "rewards/chosen": -0.7004226446151733,
+      "rewards/margins": 0.5756019353866577,
+      "rewards/rejected": -1.2760246992111206,
+      "step": 310
+    },
+    {
+      "epoch": 0.6699816801884323,
+      "grad_norm": 12.586206352705796,
+      "learning_rate": 1.478143389201113e-07,
+      "logits/chosen": 5900.0009765625,
+      "logits/rejected": 5053.62744140625,
+      "logps/chosen": -338.50836181640625,
+      "logps/rejected": -400.8262023925781,
+      "loss": 0.6206,
+      "rewards/accuracies": 0.7437499761581421,
+      "rewards/chosen": -0.666448712348938,
+      "rewards/margins": 0.7436891198158264,
+      "rewards/rejected": -1.4101378917694092,
+      "step": 320
+    },
+    {
+      "epoch": 0.6909186076943209,
+      "grad_norm": 11.467937206667434,
+      "learning_rate": 1.3139467229135998e-07,
+      "logits/chosen": 5687.28564453125,
+      "logits/rejected": 5192.236328125,
+      "logps/chosen": -344.19000244140625,
+      "logps/rejected": -401.15484619140625,
+      "loss": 0.6266,
+      "rewards/accuracies": 0.768750011920929,
+      "rewards/chosen": -0.6740574240684509,
+      "rewards/margins": 0.6941967010498047,
+      "rewards/rejected": -1.3682540655136108,
+      "step": 330
+    },
+    {
+      "epoch": 0.7118555352002094,
+      "grad_norm": 12.06333657205332,
+      "learning_rate": 1.1561076868822755e-07,
+      "logits/chosen": 5517.1494140625,
+      "logits/rejected": 4742.1181640625,
+      "logps/chosen": -323.6866760253906,
+      "logps/rejected": -374.42169189453125,
+      "loss": 0.6239,
+      "rewards/accuracies": 0.7281249761581421,
+      "rewards/chosen": -0.6611974239349365,
+      "rewards/margins": 0.6709928512573242,
+      "rewards/rejected": -1.3321901559829712,
+      "step": 340
+    },
+    {
+      "epoch": 0.7327924627060979,
+      "grad_norm": 11.532722063890231,
+      "learning_rate": 1.0054723495346482e-07,
+      "logits/chosen": 6202.3583984375,
+      "logits/rejected": 4977.18115234375,
+      "logps/chosen": -362.2864990234375,
+      "logps/rejected": -393.2933349609375,
+      "loss": 0.6251,
+      "rewards/accuracies": 0.768750011920929,
+      "rewards/chosen": -0.6137198209762573,
+      "rewards/margins": 0.635828971862793,
+      "rewards/rejected": -1.2495489120483398,
+      "step": 350
+    },
+    {
+      "epoch": 0.7537293902119864,
+      "grad_norm": 12.827074983628805,
+      "learning_rate": 8.628481651367875e-08,
+      "logits/chosen": 5883.3125,
+      "logits/rejected": 5070.5986328125,
+      "logps/chosen": -341.68011474609375,
+      "logps/rejected": -390.2152099609375,
+      "loss": 0.6263,
+      "rewards/accuracies": 0.737500011920929,
+      "rewards/chosen": -0.6395655870437622,
+      "rewards/margins": 0.6800642013549805,
+      "rewards/rejected": -1.3196299076080322,
+      "step": 360
+    },
+    {
+      "epoch": 0.7746663177178749,
+      "grad_norm": 9.251136847302337,
+      "learning_rate": 7.289996455765748e-08,
+      "logits/chosen": 5781.0732421875,
+      "logits/rejected": 4854.42333984375,
+      "logps/chosen": -352.7303161621094,
+      "logps/rejected": -394.6329345703125,
+      "loss": 0.6134,
+      "rewards/accuracies": 0.778124988079071,
+      "rewards/chosen": -0.639372706413269,
+      "rewards/margins": 0.7373119592666626,
+      "rewards/rejected": -1.376684546470642,
+      "step": 370
+    },
+    {
+      "epoch": 0.7956032452237635,
+      "grad_norm": 12.098049848889806,
+      "learning_rate": 6.046442623320145e-08,
+      "logits/chosen": 6060.8408203125,
+      "logits/rejected": 5173.55126953125,
+      "logps/chosen": -345.76519775390625,
+      "logps/rejected": -371.1272888183594,
+      "loss": 0.6248,
+      "rewards/accuracies": 0.753125011920929,
+      "rewards/chosen": -0.6106373071670532,
+      "rewards/margins": 0.5920594334602356,
+      "rewards/rejected": -1.202696681022644,
+      "step": 380
+    },
+    {
+      "epoch": 0.816540172729652,
+      "grad_norm": 9.994672177952491,
+      "learning_rate": 4.904486005914027e-08,
+      "logits/chosen": 6291.39501953125,
+      "logits/rejected": 5494.92431640625,
+      "logps/chosen": -351.2883605957031,
+      "logps/rejected": -405.6934814453125,
+      "loss": 0.6161,
+      "rewards/accuracies": 0.7562500238418579,
+      "rewards/chosen": -0.5953892469406128,
+      "rewards/margins": 0.7137786746025085,
+      "rewards/rejected": -1.3091679811477661,
+      "step": 390
+    },
+    {
+      "epoch": 0.8374771002355405,
+      "grad_norm": 10.018943299981588,
+      "learning_rate": 3.8702478614051345e-08,
+      "logits/chosen": 5870.2626953125,
+      "logits/rejected": 5131.064453125,
+      "logps/chosen": -352.17132568359375,
+      "logps/rejected": -379.8227233886719,
+      "loss": 0.6228,
+      "rewards/accuracies": 0.75,
+      "rewards/chosen": -0.6126725673675537,
+      "rewards/margins": 0.626976490020752,
+      "rewards/rejected": -1.2396490573883057,
+      "step": 400
+    },
+    {
+      "epoch": 0.8584140277414289,
+      "grad_norm": 12.50787678673054,
+      "learning_rate": 2.9492720416985e-08,
+      "logits/chosen": 5846.2509765625,
+      "logits/rejected": 5063.88818359375,
+      "logps/chosen": -348.4322814941406,
+      "logps/rejected": -408.62237548828125,
+      "loss": 0.6161,
+      "rewards/accuracies": 0.71875,
+      "rewards/chosen": -0.6656492948532104,
+      "rewards/margins": 0.6094722151756287,
+      "rewards/rejected": -1.2751215696334839,
+      "step": 410
+    },
+    {
+      "epoch": 0.8793509552473174,
+      "grad_norm": 13.503737918548683,
+      "learning_rate": 2.1464952759020856e-08,
+      "logits/chosen": 6236.7607421875,
+      "logits/rejected": 5383.3154296875,
+      "logps/chosen": -355.6968994140625,
+      "logps/rejected": -402.67681884765625,
+      "loss": 0.6183,
+      "rewards/accuracies": 0.746874988079071,
+      "rewards/chosen": -0.6371773481369019,
+      "rewards/margins": 0.6647071242332458,
+      "rewards/rejected": -1.3018845319747925,
+      "step": 420
+    },
+    {
+      "epoch": 0.9002878827532059,
+      "grad_norm": 12.19770327814421,
+      "learning_rate": 1.4662207078575684e-08,
+      "logits/chosen": 6165.9990234375,
+      "logits/rejected": 4889.5029296875,
+      "logps/chosen": -349.86297607421875,
+      "logps/rejected": -390.2151184082031,
+      "loss": 0.6092,
+      "rewards/accuracies": 0.768750011920929,
+      "rewards/chosen": -0.6226025819778442,
+      "rewards/margins": 0.7049604654312134,
+      "rewards/rejected": -1.3275630474090576,
+      "step": 430
+    },
+    {
+      "epoch": 0.9212248102590945,
+      "grad_norm": 11.802179491960299,
+      "learning_rate": 9.12094829893642e-09,
+      "logits/chosen": 5992.05029296875,
+      "logits/rejected": 5618.6328125,
+      "logps/chosen": -338.279541015625,
+      "logps/rejected": -399.9471130371094,
+      "loss": 0.6193,
+      "rewards/accuracies": 0.7437499761581421,
+      "rewards/chosen": -0.5973601937294006,
+      "rewards/margins": 0.6416517496109009,
+      "rewards/rejected": -1.2390120029449463,
+      "step": 440
+    },
+    {
+      "epoch": 0.942161737764983,
+      "grad_norm": 15.288231020941236,
+      "learning_rate": 4.8708793644441086e-09,
+      "logits/chosen": 6121.3330078125,
+      "logits/rejected": 5176.08349609375,
+      "logps/chosen": -350.21331787109375,
+      "logps/rejected": -387.7196044921875,
+      "loss": 0.6177,
+      "rewards/accuracies": 0.7906249761581421,
+      "rewards/chosen": -0.598780632019043,
+      "rewards/margins": 0.6639107465744019,
+      "rewards/rejected": -1.2626912593841553,
+      "step": 450
+    },
+    {
+      "epoch": 0.9630986652708715,
+      "grad_norm": 14.093283682723904,
+      "learning_rate": 1.9347820230782295e-09,
+      "logits/chosen": 6296.310546875,
+      "logits/rejected": 5237.2060546875,
+      "logps/chosen": -378.281982421875,
+      "logps/rejected": -422.67242431640625,
+      "loss": 0.6236,
+      "rewards/accuracies": 0.753125011920929,
+      "rewards/chosen": -0.652829647064209,
+      "rewards/margins": 0.7167678475379944,
+      "rewards/rejected": -1.3695974349975586,
+      "step": 460
+    },
+    {
+      "epoch": 0.98403559277676,
+      "grad_norm": 9.706197753513703,
+      "learning_rate": 3.2839470889836627e-10,
+      "logits/chosen": 5874.50830078125,
+      "logits/rejected": 5139.2998046875,
+      "logps/chosen": -342.42303466796875,
+      "logps/rejected": -391.7164001464844,
+      "loss": 0.6113,
+      "rewards/accuracies": 0.7749999761581421,
+      "rewards/chosen": -0.6158385872840881,
+      "rewards/margins": 0.7232969999313354,
+      "rewards/rejected": -1.3391354084014893,
+      "step": 470
+    },
+    {
+      "epoch": 0.998691442030882,
+      "step": 477,
+      "total_flos": 0.0,
+      "train_loss": 0.6349887008187156,
+      "train_runtime": 13807.6715,
+      "train_samples_per_second": 4.428,
+      "train_steps_per_second": 0.035
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 477,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "save_steps": 1000,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": false,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 0.0,
+  "train_batch_size": 4,
+  "trial_name": null,
+  "trial_params": null
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a33c767137d0c36202448a692d7d2d1193a5a2a1630b5c75e469d1e01822bb80
+size 7288