Training in progress, epoch 0, checkpoint

last-checkpoint/README.md

@@ -0,0 +1,202 @@
+---
+base_model: lmsys/vicuna-7b-v1.3
+library_name: peft
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.13.2

last-checkpoint/adapter_config.json

@@ -0,0 +1,34 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "lmsys/vicuna-7b-v1.3",
+  "bias": "none",
+  "fan_in_fan_out": null,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "down_proj",
+    "k_proj",
+    "up_proj",
+    "q_proj",
+    "o_proj",
+    "gate_proj",
+    "v_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

last-checkpoint/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0432f8f6615bb50f40e3868bfddd6fa2b86cac4eaa6ea5eed7aa743d0a850b1a
+size 80013120

last-checkpoint/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:565c3a26d78423d8f8565c7b0ca4c58c21960e8680e97251c51d07cc8c10325d
+size 41120084

last-checkpoint/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e37ee18f0349b76bb370cc71d3c411dfd6fef741db164ecb61a7d19681da6a66
+size 14244

last-checkpoint/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:705cabf5cbc3a6ab0feb67c77b9b453d59efcc939ce90d310af96e621810f990
+size 1064

last-checkpoint/special_tokens_map.json

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

last-checkpoint/tokenizer.model

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

last-checkpoint/tokenizer_config.json

@@ -0,0 +1,44 @@
+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "add_prefix_space": true,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<s>",
+  "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "legacy": true,
+  "model_max_length": 2048,
+  "pad_token": "<unk>",
+  "padding_side": "right",
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}

last-checkpoint/trainer_state.json

@@ -0,0 +1,633 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 0.015181129855589502,
+  "eval_steps": 100,
+  "global_step": 400,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 3.795282463897376e-05,
+      "eval_loss": 2.1576380729675293,
+      "eval_runtime": 850.7278,
+      "eval_samples_per_second": 13.042,
+      "eval_steps_per_second": 6.521,
+      "step": 1
+    },
+    {
+      "epoch": 0.00018976412319486878,
+      "grad_norm": 0.5731865763664246,
+      "learning_rate": 1.6666666666666667e-05,
+      "loss": 1.654,
+      "step": 5
+    },
+    {
+      "epoch": 0.00037952824638973757,
+      "grad_norm": 0.7176395058631897,
+      "learning_rate": 3.3333333333333335e-05,
+      "loss": 1.8183,
+      "step": 10
+    },
+    {
+      "epoch": 0.0005692923695846063,
+      "grad_norm": 1.1065971851348877,
+      "learning_rate": 5e-05,
+      "loss": 1.8083,
+      "step": 15
+    },
+    {
+      "epoch": 0.0007590564927794751,
+      "grad_norm": 1.0144658088684082,
+      "learning_rate": 6.666666666666667e-05,
+      "loss": 1.6738,
+      "step": 20
+    },
+    {
+      "epoch": 0.0009488206159743439,
+      "grad_norm": 0.9351977109909058,
+      "learning_rate": 8.333333333333334e-05,
+      "loss": 1.6931,
+      "step": 25
+    },
+    {
+      "epoch": 0.0011385847391692126,
+      "grad_norm": 1.1281682252883911,
+      "learning_rate": 0.0001,
+      "loss": 1.4287,
+      "step": 30
+    },
+    {
+      "epoch": 0.0013283488623640814,
+      "grad_norm": 1.6895772218704224,
+      "learning_rate": 9.995494831023409e-05,
+      "loss": 1.3096,
+      "step": 35
+    },
+    {
+      "epoch": 0.0015181129855589503,
+      "grad_norm": 1.4577206373214722,
+      "learning_rate": 9.981987442712633e-05,
+      "loss": 1.3396,
+      "step": 40
+    },
+    {
+      "epoch": 0.001707877108753819,
+      "grad_norm": 1.237876057624817,
+      "learning_rate": 9.959502176294383e-05,
+      "loss": 1.3612,
+      "step": 45
+    },
+    {
+      "epoch": 0.0018976412319486877,
+      "grad_norm": 2.0654523372650146,
+      "learning_rate": 9.928079551738543e-05,
+      "loss": 1.4159,
+      "step": 50
+    },
+    {
+      "epoch": 0.0020874053551435566,
+      "grad_norm": 0.9482754468917847,
+      "learning_rate": 9.887776194738432e-05,
+      "loss": 1.1775,
+      "step": 55
+    },
+    {
+      "epoch": 0.002277169478338425,
+      "grad_norm": 0.6003905534744263,
+      "learning_rate": 9.838664734667495e-05,
+      "loss": 1.0262,
+      "step": 60
+    },
+    {
+      "epoch": 0.0024669336015332942,
+      "grad_norm": 0.7832050919532776,
+      "learning_rate": 9.780833673696254e-05,
+      "loss": 0.9915,
+      "step": 65
+    },
+    {
+      "epoch": 0.002656697724728163,
+      "grad_norm": 0.7753303050994873,
+      "learning_rate": 9.714387227305422e-05,
+      "loss": 1.1298,
+      "step": 70
+    },
+    {
+      "epoch": 0.0028464618479230315,
+      "grad_norm": 0.8821681141853333,
+      "learning_rate": 9.639445136482548e-05,
+      "loss": 0.9965,
+      "step": 75
+    },
+    {
+      "epoch": 0.0030362259711179005,
+      "grad_norm": 0.8993760347366333,
+      "learning_rate": 9.55614245194068e-05,
+      "loss": 0.9885,
+      "step": 80
+    },
+    {
+      "epoch": 0.003225990094312769,
+      "grad_norm": 1.0164976119995117,
+      "learning_rate": 9.464629290747842e-05,
+      "loss": 1.0723,
+      "step": 85
+    },
+    {
+      "epoch": 0.003415754217507638,
+      "grad_norm": 0.9889712929725647,
+      "learning_rate": 9.365070565805941e-05,
+      "loss": 1.1378,
+      "step": 90
+    },
+    {
+      "epoch": 0.003605518340702507,
+      "grad_norm": 1.3623729944229126,
+      "learning_rate": 9.257645688666556e-05,
+      "loss": 1.2697,
+      "step": 95
+    },
+    {
+      "epoch": 0.0037952824638973755,
+      "grad_norm": 1.5822207927703857,
+      "learning_rate": 9.142548246219212e-05,
+      "loss": 1.2019,
+      "step": 100
+    },
+    {
+      "epoch": 0.0037952824638973755,
+      "eval_loss": 1.101567029953003,
+      "eval_runtime": 857.1834,
+      "eval_samples_per_second": 12.944,
+      "eval_steps_per_second": 6.472,
+      "step": 100
+    },
+    {
+      "epoch": 0.0039850465870922445,
+      "grad_norm": 0.7287427186965942,
+      "learning_rate": 9.019985651834703e-05,
+      "loss": 1.1496,
+      "step": 105
+    },
+    {
+      "epoch": 0.004174810710287113,
+      "grad_norm": 0.6560399532318115,
+      "learning_rate": 8.890178771592199e-05,
+      "loss": 1.2194,
+      "step": 110
+    },
+    {
+      "epoch": 0.004364574833481982,
+      "grad_norm": 0.6463301777839661,
+      "learning_rate": 8.753361526263621e-05,
+      "loss": 1.1142,
+      "step": 115
+    },
+    {
+      "epoch": 0.00455433895667685,
+      "grad_norm": 0.6335498094558716,
+      "learning_rate": 8.609780469772623e-05,
+      "loss": 0.9229,
+      "step": 120
+    },
+    {
+      "epoch": 0.00474410307987172,
+      "grad_norm": 0.7402055263519287,
+      "learning_rate": 8.459694344887732e-05,
+      "loss": 0.9781,
+      "step": 125
+    },
+    {
+      "epoch": 0.0049338672030665885,
+      "grad_norm": 0.7810035943984985,
+      "learning_rate": 8.303373616950408e-05,
+      "loss": 1.0616,
+      "step": 130
+    },
+    {
+      "epoch": 0.005123631326261457,
+      "grad_norm": 0.8350050449371338,
+      "learning_rate": 8.141099986478212e-05,
+      "loss": 0.9902,
+      "step": 135
+    },
+    {
+      "epoch": 0.005313395449456326,
+      "grad_norm": 0.8246821761131287,
+      "learning_rate": 7.973165881521434e-05,
+      "loss": 1.1825,
+      "step": 140
+    },
+    {
+      "epoch": 0.005503159572651194,
+      "grad_norm": 1.0053590536117554,
+      "learning_rate": 7.799873930687978e-05,
+      "loss": 1.1309,
+      "step": 145
+    },
+    {
+      "epoch": 0.005692923695846063,
+      "grad_norm": 2.70648193359375,
+      "learning_rate": 7.621536417786159e-05,
+      "loss": 1.4593,
+      "step": 150
+    },
+    {
+      "epoch": 0.0058826878190409325,
+      "grad_norm": 0.7757177948951721,
+      "learning_rate": 7.438474719068173e-05,
+      "loss": 0.9812,
+      "step": 155
+    },
+    {
+      "epoch": 0.006072451942235801,
+      "grad_norm": 0.5764933228492737,
+      "learning_rate": 7.251018724088367e-05,
+      "loss": 0.9636,
+      "step": 160
+    },
+    {
+      "epoch": 0.00626221606543067,
+      "grad_norm": 0.7440540790557861,
+      "learning_rate": 7.059506241219965e-05,
+      "loss": 0.9517,
+      "step": 165
+    },
+    {
+      "epoch": 0.006451980188625538,
+      "grad_norm": 0.9800004959106445,
+      "learning_rate": 6.864282388901544e-05,
+      "loss": 1.108,
+      "step": 170
+    },
+    {
+      "epoch": 0.006641744311820407,
+      "grad_norm": 0.8193339109420776,
+      "learning_rate": 6.665698973710288e-05,
+      "loss": 0.9969,
+      "step": 175
+    },
+    {
+      "epoch": 0.006831508435015276,
+      "grad_norm": 0.813203752040863,
+      "learning_rate": 6.464113856382752e-05,
+      "loss": 0.8408,
+      "step": 180
+    },
+    {
+      "epoch": 0.007021272558210145,
+      "grad_norm": 0.991565465927124,
+      "learning_rate": 6.259890306925627e-05,
+      "loss": 1.0614,
+      "step": 185
+    },
+    {
+      "epoch": 0.007211036681405014,
+      "grad_norm": 0.8006114959716797,
+      "learning_rate": 6.0533963499786314e-05,
+      "loss": 1.1613,
+      "step": 190
+    },
+    {
+      "epoch": 0.007400800804599882,
+      "grad_norm": 1.1749229431152344,
+      "learning_rate": 5.8450041016092464e-05,
+      "loss": 1.0541,
+      "step": 195
+    },
+    {
+      "epoch": 0.007590564927794751,
+      "grad_norm": 2.0654520988464355,
+      "learning_rate": 5.6350890987343944e-05,
+      "loss": 1.1676,
+      "step": 200
+    },
+    {
+      "epoch": 0.007590564927794751,
+      "eval_loss": 1.0440938472747803,
+      "eval_runtime": 854.169,
+      "eval_samples_per_second": 12.989,
+      "eval_steps_per_second": 6.495,
+      "step": 200
+    },
+    {
+      "epoch": 0.0077803290509896195,
+      "grad_norm": 0.6320887804031372,
+      "learning_rate": 5.4240296223775465e-05,
+      "loss": 1.2171,
+      "step": 205
+    },
+    {
+      "epoch": 0.007970093174184489,
+      "grad_norm": 0.6037514209747314,
+      "learning_rate": 5.212206015980742e-05,
+      "loss": 0.9721,
+      "step": 210
+    },
+    {
+      "epoch": 0.008159857297379357,
+      "grad_norm": 0.7819492816925049,
+      "learning_rate": 5e-05,
+      "loss": 1.1028,
+      "step": 215
+    },
+    {
+      "epoch": 0.008349621420574226,
+      "grad_norm": 0.6581225991249084,
+      "learning_rate": 4.78779398401926e-05,
+      "loss": 0.9646,
+      "step": 220
+    },
+    {
+      "epoch": 0.008539385543769096,
+      "grad_norm": 0.7874705195426941,
+      "learning_rate": 4.575970377622456e-05,
+      "loss": 0.9913,
+      "step": 225
+    },
+    {
+      "epoch": 0.008729149666963964,
+      "grad_norm": 0.7567994594573975,
+      "learning_rate": 4.364910901265606e-05,
+      "loss": 0.873,
+      "step": 230
+    },
+    {
+      "epoch": 0.008918913790158833,
+      "grad_norm": 0.7803477048873901,
+      "learning_rate": 4.1549958983907555e-05,
+      "loss": 0.964,
+      "step": 235
+    },
+    {
+      "epoch": 0.0091086779133537,
+      "grad_norm": 1.0606672763824463,
+      "learning_rate": 3.94660365002137e-05,
+      "loss": 1.0612,
+      "step": 240
+    },
+    {
+      "epoch": 0.00929844203654857,
+      "grad_norm": 1.069953203201294,
+      "learning_rate": 3.740109693074375e-05,
+      "loss": 1.1362,
+      "step": 245
+    },
+    {
+      "epoch": 0.00948820615974344,
+      "grad_norm": 1.8780826330184937,
+      "learning_rate": 3.5358861436172485e-05,
+      "loss": 1.2513,
+      "step": 250
+    },
+    {
+      "epoch": 0.009677970282938307,
+      "grad_norm": 0.6101130843162537,
+      "learning_rate": 3.334301026289712e-05,
+      "loss": 1.0985,
+      "step": 255
+    },
+    {
+      "epoch": 0.009867734406133177,
+      "grad_norm": 0.8326043486595154,
+      "learning_rate": 3.135717611098458e-05,
+      "loss": 1.0019,
+      "step": 260
+    },
+    {
+      "epoch": 0.010057498529328045,
+      "grad_norm": 0.6600733399391174,
+      "learning_rate": 2.9404937587800375e-05,
+      "loss": 0.9358,
+      "step": 265
+    },
+    {
+      "epoch": 0.010247262652522914,
+      "grad_norm": 0.6974927186965942,
+      "learning_rate": 2.748981275911633e-05,
+      "loss": 1.0073,
+      "step": 270
+    },
+    {
+      "epoch": 0.010437026775717782,
+      "grad_norm": 0.7026144862174988,
+      "learning_rate": 2.5615252809318284e-05,
+      "loss": 0.9925,
+      "step": 275
+    },
+    {
+      "epoch": 0.010626790898912651,
+      "grad_norm": 0.8885721564292908,
+      "learning_rate": 2.3784635822138424e-05,
+      "loss": 1.0314,
+      "step": 280
+    },
+    {
+      "epoch": 0.010816555022107521,
+      "grad_norm": 0.6575035452842712,
+      "learning_rate": 2.2001260693120233e-05,
+      "loss": 0.7637,
+      "step": 285
+    },
+    {
+      "epoch": 0.011006319145302389,
+      "grad_norm": 1.0016722679138184,
+      "learning_rate": 2.026834118478567e-05,
+      "loss": 1.1063,
+      "step": 290
+    },
+    {
+      "epoch": 0.011196083268497258,
+      "grad_norm": 1.0121612548828125,
+      "learning_rate": 1.858900013521788e-05,
+      "loss": 1.0149,
+      "step": 295
+    },
+    {
+      "epoch": 0.011385847391692126,
+      "grad_norm": 1.9054632186889648,
+      "learning_rate": 1.6966263830495936e-05,
+      "loss": 1.3082,
+      "step": 300
+    },
+    {
+      "epoch": 0.011385847391692126,
+      "eval_loss": 1.0266152620315552,
+      "eval_runtime": 855.0452,
+      "eval_samples_per_second": 12.976,
+      "eval_steps_per_second": 6.489,
+      "step": 300
+    },
+    {
+      "epoch": 0.011575611514886995,
+      "grad_norm": 0.6057090759277344,
+      "learning_rate": 1.5403056551122697e-05,
+      "loss": 1.2215,
+      "step": 305
+    },
+    {
+      "epoch": 0.011765375638081865,
+      "grad_norm": 0.58408123254776,
+      "learning_rate": 1.3902195302273779e-05,
+      "loss": 1.1013,
+      "step": 310
+    },
+    {
+      "epoch": 0.011955139761276733,
+      "grad_norm": 0.6465745568275452,
+      "learning_rate": 1.246638473736378e-05,
+      "loss": 0.9197,
+      "step": 315
+    },
+    {
+      "epoch": 0.012144903884471602,
+      "grad_norm": 0.5927044749259949,
+      "learning_rate": 1.1098212284078036e-05,
+      "loss": 0.9358,
+      "step": 320
+    },
+    {
+      "epoch": 0.01233466800766647,
+      "grad_norm": 0.6737649440765381,
+      "learning_rate": 9.800143481652979e-06,
+      "loss": 1.0297,
+      "step": 325
+    },
+    {
+      "epoch": 0.01252443213086134,
+      "grad_norm": 0.8347842693328857,
+      "learning_rate": 8.574517537807897e-06,
+      "loss": 0.9338,
+      "step": 330
+    },
+    {
+      "epoch": 0.012714196254056209,
+      "grad_norm": 0.8311460018157959,
+      "learning_rate": 7.423543113334436e-06,
+      "loss": 1.0809,
+      "step": 335
+    },
+    {
+      "epoch": 0.012903960377251077,
+      "grad_norm": 0.7732884287834167,
+      "learning_rate": 6.349294341940593e-06,
+      "loss": 0.9445,
+      "step": 340
+    },
+    {
+      "epoch": 0.013093724500445946,
+      "grad_norm": 0.8245271444320679,
+      "learning_rate": 5.353707092521582e-06,
+      "loss": 1.1543,
+      "step": 345
+    },
+    {
+      "epoch": 0.013283488623640814,
+      "grad_norm": 2.3973090648651123,
+      "learning_rate": 4.43857548059321e-06,
+      "loss": 1.4494,
+      "step": 350
+    },
+    {
+      "epoch": 0.013473252746835683,
+      "grad_norm": 0.7564066052436829,
+      "learning_rate": 3.605548635174533e-06,
+      "loss": 1.0761,
+      "step": 355
+    },
+    {
+      "epoch": 0.013663016870030553,
+      "grad_norm": 0.7391504049301147,
+      "learning_rate": 2.85612772694579e-06,
+      "loss": 0.8724,
+      "step": 360
+    },
+    {
+      "epoch": 0.01385278099322542,
+      "grad_norm": 0.6857224106788635,
+      "learning_rate": 2.191663263037458e-06,
+      "loss": 1.1109,
+      "step": 365
+    },
+    {
+      "epoch": 0.01404254511642029,
+      "grad_norm": 0.7058850526809692,
+      "learning_rate": 1.6133526533250565e-06,
+      "loss": 0.9582,
+      "step": 370
+    },
+    {
+      "epoch": 0.014232309239615158,
+      "grad_norm": 0.6980537176132202,
+      "learning_rate": 1.1222380526156928e-06,
+      "loss": 0.8472,
+      "step": 375
+    },
+    {
+      "epoch": 0.014422073362810027,
+      "grad_norm": 0.6182519197463989,
+      "learning_rate": 7.192044826145771e-07,
+      "loss": 1.0134,
+      "step": 380
+    },
+    {
+      "epoch": 0.014611837486004895,
+      "grad_norm": 0.7132819294929504,
+      "learning_rate": 4.049782370561583e-07,
+      "loss": 0.8478,
+      "step": 385
+    },
+    {
+      "epoch": 0.014801601609199765,
+      "grad_norm": 1.1005048751831055,
+      "learning_rate": 1.8012557287367392e-07,
+      "loss": 1.1334,
+      "step": 390
+    },
+    {
+      "epoch": 0.014991365732394634,
+      "grad_norm": 1.1212615966796875,
+      "learning_rate": 4.5051689765929214e-08,
+      "loss": 1.0598,
+      "step": 395
+    },
+    {
+      "epoch": 0.015181129855589502,
+      "grad_norm": 1.638376235961914,
+      "learning_rate": 0.0,
+      "loss": 1.2034,
+      "step": 400
+    },
+    {
+      "epoch": 0.015181129855589502,
+      "eval_loss": 1.020525574684143,
+      "eval_runtime": 855.3462,
+      "eval_samples_per_second": 12.971,
+      "eval_steps_per_second": 6.486,
+      "step": 400
+    }
+  ],
+  "logging_steps": 5,
+  "max_steps": 400,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 1.3038008752983245e+17,
+  "train_batch_size": 2,
+  "trial_name": null,
+  "trial_params": null
+}

last-checkpoint/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a412587bac7d209b108e44ee830104bdcb64563609697d5b8af2262954cf70d0
+size 6776