Training in progress, epoch 0, checkpoint

last-checkpoint/README.md

@@ -0,0 +1,202 @@
+---
+base_model: trl-internal-testing/tiny-random-LlamaForCausalLM
+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": "trl-internal-testing/tiny-random-LlamaForCausalLM",
+  "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": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "gate_proj",
+    "down_proj",
+    "up_proj",
+    "o_proj",
+    "k_proj",
+    "q_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 sha256:4f247aa998c0546f916a71247dd61b1b0ff418257cfeed8df5376387d21cc921
+size 97728

last-checkpoint/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cbf3b2e0450851cfe926cfba48b88164e8b9e7c96fbd7183cf9ee9d57709e781
+size 205350

last-checkpoint/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9780c0fcd9fe13907afda0d7fb724f4d644b0055253394091781e5d562228467
+size 14244

last-checkpoint/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:49d60a69e2379be2053e816cbaff31e6c931b5922dd86c71c9eaf473299cbf62
+size 1064

last-checkpoint/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": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "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 +1,41 @@
+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "add_prefix_space": null,
+  "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
+    }
+  },
+  "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>",
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": true
+}

last-checkpoint/trainer_state.json

@@ -0,0 +1,733 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 0.010981167298083787,
+  "eval_steps": 500,
+  "global_step": 100,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.00010981167298083787,
+      "grad_norm": 0.018289916217327118,
+      "learning_rate": 1e-05,
+      "loss": 10.3819,
+      "step": 1
+    },
+    {
+      "epoch": 0.00021962334596167574,
+      "grad_norm": 0.015523153357207775,
+      "learning_rate": 2e-05,
+      "loss": 10.3719,
+      "step": 2
+    },
+    {
+      "epoch": 0.00032943501894251357,
+      "grad_norm": 0.019394371658563614,
+      "learning_rate": 3e-05,
+      "loss": 10.3726,
+      "step": 3
+    },
+    {
+      "epoch": 0.0004392466919233515,
+      "grad_norm": 0.020655926316976547,
+      "learning_rate": 4e-05,
+      "loss": 10.3685,
+      "step": 4
+    },
+    {
+      "epoch": 0.0005490583649041893,
+      "grad_norm": 0.013987921178340912,
+      "learning_rate": 5e-05,
+      "loss": 10.3677,
+      "step": 5
+    },
+    {
+      "epoch": 0.0006588700378850271,
+      "grad_norm": 0.02028956077992916,
+      "learning_rate": 6e-05,
+      "loss": 10.3891,
+      "step": 6
+    },
+    {
+      "epoch": 0.0007686817108658651,
+      "grad_norm": 0.021054595708847046,
+      "learning_rate": 7e-05,
+      "loss": 10.3723,
+      "step": 7
+    },
+    {
+      "epoch": 0.000878493383846703,
+      "grad_norm": 0.01718386821448803,
+      "learning_rate": 8e-05,
+      "loss": 10.374,
+      "step": 8
+    },
+    {
+      "epoch": 0.0009883050568275408,
+      "grad_norm": 0.018545204773545265,
+      "learning_rate": 9e-05,
+      "loss": 10.3743,
+      "step": 9
+    },
+    {
+      "epoch": 0.0010981167298083786,
+      "grad_norm": 0.019103916361927986,
+      "learning_rate": 0.0001,
+      "loss": 10.3822,
+      "step": 10
+    },
+    {
+      "epoch": 0.0012079284027892165,
+      "grad_norm": 0.01687723957002163,
+      "learning_rate": 9.99695413509548e-05,
+      "loss": 10.3696,
+      "step": 11
+    },
+    {
+      "epoch": 0.0013177400757700543,
+      "grad_norm": 0.0199760589748621,
+      "learning_rate": 9.987820251299122e-05,
+      "loss": 10.3859,
+      "step": 12
+    },
+    {
+      "epoch": 0.0014275517487508922,
+      "grad_norm": 0.01750268042087555,
+      "learning_rate": 9.972609476841367e-05,
+      "loss": 10.3752,
+      "step": 13
+    },
+    {
+      "epoch": 0.0015373634217317302,
+      "grad_norm": 0.01783495768904686,
+      "learning_rate": 9.951340343707852e-05,
+      "loss": 10.3694,
+      "step": 14
+    },
+    {
+      "epoch": 0.001647175094712568,
+      "grad_norm": 0.01815509982407093,
+      "learning_rate": 9.924038765061042e-05,
+      "loss": 10.3693,
+      "step": 15
+    },
+    {
+      "epoch": 0.001756986767693406,
+      "grad_norm": 0.021045060828328133,
+      "learning_rate": 9.890738003669029e-05,
+      "loss": 10.3746,
+      "step": 16
+    },
+    {
+      "epoch": 0.0018667984406742436,
+      "grad_norm": 0.018223293125629425,
+      "learning_rate": 9.851478631379982e-05,
+      "loss": 10.3696,
+      "step": 17
+    },
+    {
+      "epoch": 0.0019766101136550816,
+      "grad_norm": 0.019719388335943222,
+      "learning_rate": 9.806308479691595e-05,
+      "loss": 10.3749,
+      "step": 18
+    },
+    {
+      "epoch": 0.0020864217866359194,
+      "grad_norm": 0.014649452641606331,
+      "learning_rate": 9.755282581475769e-05,
+      "loss": 10.3663,
+      "step": 19
+    },
+    {
+      "epoch": 0.002196233459616757,
+      "grad_norm": 0.01784796640276909,
+      "learning_rate": 9.698463103929542e-05,
+      "loss": 10.3657,
+      "step": 20
+    },
+    {
+      "epoch": 0.0023060451325975953,
+      "grad_norm": 0.016092542558908463,
+      "learning_rate": 9.635919272833938e-05,
+      "loss": 10.3736,
+      "step": 21
+    },
+    {
+      "epoch": 0.002415856805578433,
+      "grad_norm": 0.018809333443641663,
+      "learning_rate": 9.567727288213005e-05,
+      "loss": 10.3609,
+      "step": 22
+    },
+    {
+      "epoch": 0.0025256684785592708,
+      "grad_norm": 0.01754729263484478,
+      "learning_rate": 9.493970231495835e-05,
+      "loss": 10.3744,
+      "step": 23
+    },
+    {
+      "epoch": 0.0026354801515401085,
+      "grad_norm": 0.022532925009727478,
+      "learning_rate": 9.414737964294636e-05,
+      "loss": 10.3702,
+      "step": 24
+    },
+    {
+      "epoch": 0.0027452918245209467,
+      "grad_norm": 0.020157666876912117,
+      "learning_rate": 9.330127018922194e-05,
+      "loss": 10.3678,
+      "step": 25
+    },
+    {
+      "epoch": 0.0028551034975017845,
+      "grad_norm": 0.019730983301997185,
+      "learning_rate": 9.24024048078213e-05,
+      "loss": 10.3672,
+      "step": 26
+    },
+    {
+      "epoch": 0.002964915170482622,
+      "grad_norm": 0.02060050517320633,
+      "learning_rate": 9.145187862775209e-05,
+      "loss": 10.3731,
+      "step": 27
+    },
+    {
+      "epoch": 0.0030747268434634604,
+      "grad_norm": 0.021228590980172157,
+      "learning_rate": 9.045084971874738e-05,
+      "loss": 10.3736,
+      "step": 28
+    },
+    {
+      "epoch": 0.003184538516444298,
+      "grad_norm": 0.01988563872873783,
+      "learning_rate": 8.940053768033609e-05,
+      "loss": 10.3635,
+      "step": 29
+    },
+    {
+      "epoch": 0.003294350189425136,
+      "grad_norm": 0.018736163154244423,
+      "learning_rate": 8.83022221559489e-05,
+      "loss": 10.3693,
+      "step": 30
+    },
+    {
+      "epoch": 0.0034041618624059736,
+      "grad_norm": 0.019863048568367958,
+      "learning_rate": 8.715724127386972e-05,
+      "loss": 10.3732,
+      "step": 31
+    },
+    {
+      "epoch": 0.003513973535386812,
+      "grad_norm": 0.020206034183502197,
+      "learning_rate": 8.596699001693255e-05,
+      "loss": 10.3749,
+      "step": 32
+    },
+    {
+      "epoch": 0.0036237852083676496,
+      "grad_norm": 0.0207813810557127,
+      "learning_rate": 8.473291852294987e-05,
+      "loss": 10.3622,
+      "step": 33
+    },
+    {
+      "epoch": 0.0037335968813484873,
+      "grad_norm": 0.02173754572868347,
+      "learning_rate": 8.345653031794292e-05,
+      "loss": 10.3655,
+      "step": 34
+    },
+    {
+      "epoch": 0.003843408554329325,
+      "grad_norm": 0.025206543505191803,
+      "learning_rate": 8.213938048432697e-05,
+      "loss": 10.3643,
+      "step": 35
+    },
+    {
+      "epoch": 0.003953220227310163,
+      "grad_norm": 0.018488949164748192,
+      "learning_rate": 8.07830737662829e-05,
+      "loss": 10.3686,
+      "step": 36
+    },
+    {
+      "epoch": 0.0040630319002910005,
+      "grad_norm": 0.020824845880270004,
+      "learning_rate": 7.938926261462366e-05,
+      "loss": 10.3673,
+      "step": 37
+    },
+    {
+      "epoch": 0.004172843573271839,
+      "grad_norm": 0.01755150780081749,
+      "learning_rate": 7.795964517353735e-05,
+      "loss": 10.3664,
+      "step": 38
+    },
+    {
+      "epoch": 0.004282655246252677,
+      "grad_norm": 0.019542966037988663,
+      "learning_rate": 7.649596321166024e-05,
+      "loss": 10.3675,
+      "step": 39
+    },
+    {
+      "epoch": 0.004392466919233514,
+      "grad_norm": 0.02438177540898323,
+      "learning_rate": 7.500000000000001e-05,
+      "loss": 10.3596,
+      "step": 40
+    },
+    {
+      "epoch": 0.004502278592214352,
+      "grad_norm": 0.023626117035746574,
+      "learning_rate": 7.347357813929454e-05,
+      "loss": 10.3718,
+      "step": 41
+    },
+    {
+      "epoch": 0.004612090265195191,
+      "grad_norm": 0.025587260723114014,
+      "learning_rate": 7.191855733945387e-05,
+      "loss": 10.3738,
+      "step": 42
+    },
+    {
+      "epoch": 0.004721901938176028,
+      "grad_norm": 0.025893373414874077,
+      "learning_rate": 7.033683215379002e-05,
+      "loss": 10.3642,
+      "step": 43
+    },
+    {
+      "epoch": 0.004831713611156866,
+      "grad_norm": 0.022387156262993813,
+      "learning_rate": 6.873032967079561e-05,
+      "loss": 10.3707,
+      "step": 44
+    },
+    {
+      "epoch": 0.004941525284137704,
+      "grad_norm": 0.021138310432434082,
+      "learning_rate": 6.710100716628344e-05,
+      "loss": 10.3715,
+      "step": 45
+    },
+    {
+      "epoch": 0.0050513369571185416,
+      "grad_norm": 0.02527242712676525,
+      "learning_rate": 6.545084971874738e-05,
+      "loss": 10.374,
+      "step": 46
+    },
+    {
+      "epoch": 0.00516114863009938,
+      "grad_norm": 0.019845960661768913,
+      "learning_rate": 6.378186779084995e-05,
+      "loss": 10.3697,
+      "step": 47
+    },
+    {
+      "epoch": 0.005270960303080217,
+      "grad_norm": 0.026355192065238953,
+      "learning_rate": 6.209609477998338e-05,
+      "loss": 10.3722,
+      "step": 48
+    },
+    {
+      "epoch": 0.005380771976061055,
+      "grad_norm": 0.023294877260923386,
+      "learning_rate": 6.0395584540887963e-05,
+      "loss": 10.3661,
+      "step": 49
+    },
+    {
+      "epoch": 0.005490583649041893,
+      "grad_norm": 0.023365125060081482,
+      "learning_rate": 5.868240888334653e-05,
+      "loss": 10.366,
+      "step": 50
+    },
+    {
+      "epoch": 0.005600395322022731,
+      "grad_norm": 0.021722104400396347,
+      "learning_rate": 5.695865504800327e-05,
+      "loss": 10.3719,
+      "step": 51
+    },
+    {
+      "epoch": 0.005710206995003569,
+      "grad_norm": 0.02511746808886528,
+      "learning_rate": 5.522642316338268e-05,
+      "loss": 10.3689,
+      "step": 52
+    },
+    {
+      "epoch": 0.005820018667984407,
+      "grad_norm": 0.0213940292596817,
+      "learning_rate": 5.348782368720626e-05,
+      "loss": 10.3705,
+      "step": 53
+    },
+    {
+      "epoch": 0.005929830340965244,
+      "grad_norm": 0.021202441304922104,
+      "learning_rate": 5.174497483512506e-05,
+      "loss": 10.3711,
+      "step": 54
+    },
+    {
+      "epoch": 0.006039642013946083,
+      "grad_norm": 0.0211451705545187,
+      "learning_rate": 5e-05,
+      "loss": 10.3811,
+      "step": 55
+    },
+    {
+      "epoch": 0.006149453686926921,
+      "grad_norm": 0.01758718676865101,
+      "learning_rate": 4.825502516487497e-05,
+      "loss": 10.3648,
+      "step": 56
+    },
+    {
+      "epoch": 0.006259265359907758,
+      "grad_norm": 0.025963444262742996,
+      "learning_rate": 4.6512176312793736e-05,
+      "loss": 10.3703,
+      "step": 57
+    },
+    {
+      "epoch": 0.006369077032888596,
+      "grad_norm": 0.02193702571094036,
+      "learning_rate": 4.477357683661734e-05,
+      "loss": 10.3698,
+      "step": 58
+    },
+    {
+      "epoch": 0.006478888705869434,
+      "grad_norm": 0.025106361135840416,
+      "learning_rate": 4.3041344951996746e-05,
+      "loss": 10.3703,
+      "step": 59
+    },
+    {
+      "epoch": 0.006588700378850272,
+      "grad_norm": 0.023114463314414024,
+      "learning_rate": 4.131759111665349e-05,
+      "loss": 10.3722,
+      "step": 60
+    },
+    {
+      "epoch": 0.00669851205183111,
+      "grad_norm": 0.023906955495476723,
+      "learning_rate": 3.960441545911204e-05,
+      "loss": 10.3705,
+      "step": 61
+    },
+    {
+      "epoch": 0.006808323724811947,
+      "grad_norm": 0.028614943847060204,
+      "learning_rate": 3.790390522001662e-05,
+      "loss": 10.3683,
+      "step": 62
+    },
+    {
+      "epoch": 0.006918135397792785,
+      "grad_norm": 0.023255079984664917,
+      "learning_rate": 3.6218132209150045e-05,
+      "loss": 10.3657,
+      "step": 63
+    },
+    {
+      "epoch": 0.007027947070773624,
+      "grad_norm": 0.029192103073000908,
+      "learning_rate": 3.4549150281252636e-05,
+      "loss": 10.3697,
+      "step": 64
+    },
+    {
+      "epoch": 0.007137758743754461,
+      "grad_norm": 0.023985080420970917,
+      "learning_rate": 3.289899283371657e-05,
+      "loss": 10.3713,
+      "step": 65
+    },
+    {
+      "epoch": 0.007247570416735299,
+      "grad_norm": 0.0215394739061594,
+      "learning_rate": 3.12696703292044e-05,
+      "loss": 10.3731,
+      "step": 66
+    },
+    {
+      "epoch": 0.007357382089716136,
+      "grad_norm": 0.024128539487719536,
+      "learning_rate": 2.9663167846209998e-05,
+      "loss": 10.3628,
+      "step": 67
+    },
+    {
+      "epoch": 0.007467193762696975,
+      "grad_norm": 0.027403220534324646,
+      "learning_rate": 2.8081442660546125e-05,
+      "loss": 10.3657,
+      "step": 68
+    },
+    {
+      "epoch": 0.007577005435677813,
+      "grad_norm": 0.02677111327648163,
+      "learning_rate": 2.6526421860705473e-05,
+      "loss": 10.3668,
+      "step": 69
+    },
+    {
+      "epoch": 0.00768681710865865,
+      "grad_norm": 0.025245068594813347,
+      "learning_rate": 2.500000000000001e-05,
+      "loss": 10.3658,
+      "step": 70
+    },
+    {
+      "epoch": 0.007796628781639488,
+      "grad_norm": 0.02607596479356289,
+      "learning_rate": 2.350403678833976e-05,
+      "loss": 10.371,
+      "step": 71
+    },
+    {
+      "epoch": 0.007906440454620326,
+      "grad_norm": 0.025485020130872726,
+      "learning_rate": 2.2040354826462668e-05,
+      "loss": 10.374,
+      "step": 72
+    },
+    {
+      "epoch": 0.008016252127601164,
+      "grad_norm": 0.023444289341568947,
+      "learning_rate": 2.061073738537635e-05,
+      "loss": 10.3663,
+      "step": 73
+    },
+    {
+      "epoch": 0.008126063800582001,
+      "grad_norm": 0.026250917464494705,
+      "learning_rate": 1.9216926233717085e-05,
+      "loss": 10.3769,
+      "step": 74
+    },
+    {
+      "epoch": 0.00823587547356284,
+      "grad_norm": 0.02457282319664955,
+      "learning_rate": 1.7860619515673033e-05,
+      "loss": 10.3641,
+      "step": 75
+    },
+    {
+      "epoch": 0.008345687146543677,
+      "grad_norm": 0.02628599852323532,
+      "learning_rate": 1.6543469682057106e-05,
+      "loss": 10.3727,
+      "step": 76
+    },
+    {
+      "epoch": 0.008455498819524515,
+      "grad_norm": 0.02507518231868744,
+      "learning_rate": 1.526708147705013e-05,
+      "loss": 10.3657,
+      "step": 77
+    },
+    {
+      "epoch": 0.008565310492505354,
+      "grad_norm": 0.022419001907110214,
+      "learning_rate": 1.4033009983067452e-05,
+      "loss": 10.3663,
+      "step": 78
+    },
+    {
+      "epoch": 0.008675122165486191,
+      "grad_norm": 0.02596086636185646,
+      "learning_rate": 1.2842758726130283e-05,
+      "loss": 10.3706,
+      "step": 79
+    },
+    {
+      "epoch": 0.008784933838467028,
+      "grad_norm": 0.02945023588836193,
+      "learning_rate": 1.1697777844051105e-05,
+      "loss": 10.3615,
+      "step": 80
+    },
+    {
+      "epoch": 0.008894745511447867,
+      "grad_norm": 0.02681763842701912,
+      "learning_rate": 1.0599462319663905e-05,
+      "loss": 10.3673,
+      "step": 81
+    },
+    {
+      "epoch": 0.009004557184428705,
+      "grad_norm": 0.02253122441470623,
+      "learning_rate": 9.549150281252633e-06,
+      "loss": 10.361,
+      "step": 82
+    },
+    {
+      "epoch": 0.009114368857409542,
+      "grad_norm": 0.028218358755111694,
+      "learning_rate": 8.548121372247918e-06,
+      "loss": 10.3687,
+      "step": 83
+    },
+    {
+      "epoch": 0.009224180530390381,
+      "grad_norm": 0.02608354575932026,
+      "learning_rate": 7.597595192178702e-06,
+      "loss": 10.377,
+      "step": 84
+    },
+    {
+      "epoch": 0.009333992203371218,
+      "grad_norm": 0.0253764595836401,
+      "learning_rate": 6.698729810778065e-06,
+      "loss": 10.3678,
+      "step": 85
+    },
+    {
+      "epoch": 0.009443803876352056,
+      "grad_norm": 0.02367611788213253,
+      "learning_rate": 5.852620357053651e-06,
+      "loss": 10.3703,
+      "step": 86
+    },
+    {
+      "epoch": 0.009553615549332895,
+      "grad_norm": 0.02432394027709961,
+      "learning_rate": 5.060297685041659e-06,
+      "loss": 10.3749,
+      "step": 87
+    },
+    {
+      "epoch": 0.009663427222313732,
+      "grad_norm": 0.02533579245209694,
+      "learning_rate": 4.322727117869951e-06,
+      "loss": 10.3689,
+      "step": 88
+    },
+    {
+      "epoch": 0.00977323889529457,
+      "grad_norm": 0.02582724764943123,
+      "learning_rate": 3.6408072716606346e-06,
+      "loss": 10.371,
+      "step": 89
+    },
+    {
+      "epoch": 0.009883050568275408,
+      "grad_norm": 0.023309562355279922,
+      "learning_rate": 3.0153689607045845e-06,
+      "loss": 10.3721,
+      "step": 90
+    },
+    {
+      "epoch": 0.009992862241256246,
+      "grad_norm": 0.03176286444067955,
+      "learning_rate": 2.4471741852423237e-06,
+      "loss": 10.3771,
+      "step": 91
+    },
+    {
+      "epoch": 0.010102673914237083,
+      "grad_norm": 0.019409747794270515,
+      "learning_rate": 1.9369152030840556e-06,
+      "loss": 10.378,
+      "step": 92
+    },
+    {
+      "epoch": 0.01021248558721792,
+      "grad_norm": 0.027560167014598846,
+      "learning_rate": 1.4852136862001764e-06,
+      "loss": 10.3747,
+      "step": 93
+    },
+    {
+      "epoch": 0.01032229726019876,
+      "grad_norm": 0.026201719418168068,
+      "learning_rate": 1.0926199633097157e-06,
+      "loss": 10.3569,
+      "step": 94
+    },
+    {
+      "epoch": 0.010432108933179597,
+      "grad_norm": 0.025573261082172394,
+      "learning_rate": 7.596123493895991e-07,
+      "loss": 10.3724,
+      "step": 95
+    },
+    {
+      "epoch": 0.010541920606160434,
+      "grad_norm": 0.019913218915462494,
+      "learning_rate": 4.865965629214819e-07,
+      "loss": 10.3638,
+      "step": 96
+    },
+    {
+      "epoch": 0.010651732279141273,
+      "grad_norm": 0.02878718636929989,
+      "learning_rate": 2.7390523158633554e-07,
+      "loss": 10.3722,
+      "step": 97
+    },
+    {
+      "epoch": 0.01076154395212211,
+      "grad_norm": 0.026766106486320496,
+      "learning_rate": 1.2179748700879012e-07,
+      "loss": 10.3728,
+      "step": 98
+    },
+    {
+      "epoch": 0.010871355625102948,
+      "grad_norm": 0.024262897670269012,
+      "learning_rate": 3.04586490452119e-08,
+      "loss": 10.3755,
+      "step": 99
+    },
+    {
+      "epoch": 0.010981167298083787,
+      "grad_norm": 0.029803460463881493,
+      "learning_rate": 0.0,
+      "loss": 10.3755,
+      "step": 100
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 100,
+  "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": 1996399656960.0,
+  "train_batch_size": 1,
+  "trial_name": null,
+  "trial_params": null
+}

last-checkpoint/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2e7069fab9c3523f8a7e897ae610b0f5b5f1cc496ada9c8ff0ccd52f0ba9f986
+size 6776